Real-Life Knowledge Management
Transcription
Real-Life Knowledge Management
Real-Life Knowledge Management Lessons from the Field Abdul Samad Kazi Patricia Wolf Real-Life Knowledge Management Lessons from the Field Edited by: Dr. Abdul Samad (Sami) Kazi and Dr. Patricia Wolf Copyright © 2006 KnowledgeBoard Some rights reserved. This book (and its digital version that is available online through http://www.knowledgeboard.com) is released under a Creative Commons AttributionNonCommercial-NoDerivativeWorks license. Under this license, you are free to copy, distribute, and perform the work presented in this book under the following conditions: you must give the original author credit for the work; you may not use it for commercial purposes; you may not alter, transform, or build upon this work (for more details on this license, visit http://creativecommons.org/licenses/by-nc-nd/2.5/). For other permissions, you should contact the author(s) of the case study in question. Although all care is taken to ensure the integrity and quality of this publication and the information contained herein, no responsibility is assumed by the publishers, editors, or the authors of individual case studies for any damage to property or persons as a result of operation or use of this publication and/or the information contained herein. Published by: KnowledgeBoard in collaboration with, VTT –Technical Research Centre of Finland (www.vtt.fi) ISBN 952-5004-72-4 Printed in Finland Real-Life Knowledge Management: Lessons from the Field Table of Contents Table of Contents iii Preface vii Industrial Experiences and Communities of Practice Case 1: Learn, Exchange, Develop 5 Peter Troxler, ETH VDI, [ k n w l d g ], the Netherlands Kristina Lauche, TU Delft, the Netherlands Case 2: The Knowledge Management Journey of Israel Aircraft Industry 23 Rony Dayan, Israel Aircraft Industry, Israel Edna Pasher, Edna Pasher and Associates, Israel Ron Dvir, Innovation Ecology, Israel Case 3: Communities of Practice – A Case Study from the Automotive Industry 47 Patricia Wolf, Hochschule für Wirtschaft (HSW) Luzern, Switzerland Abdul Samad (Sami) Kazi, VTT -Technical Research Centre of Finland Case 4: Sharing through Social Interaction: The Case of YIT Construction Ltd. 63 Abdul Samad (Sami) Kazi, VTT – Technical Research Centre of Finland Anssi Koivuniemi, YIT Construction Ltd., Finland Case 5: Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis 81 Sonja Blignaut. IBM Business Consulting Services, South Africa Case 6: Beneath the Surface of Conscious Patterns: Using Narrative to Characterise the Culture of Innovation at a Leading R&D Organisation 103 Gillian A. Maree, South African Council for Scientific and Industrial Research Dirk J. Roux, South African Council for Scientific and Industrial Research Mario A. Marais, South African Council for Scientific and Industrial Research iii Table of Contents Industry Analysis and Business Modelling Case 7: Applying Business Modelling to Knowledge Management 129 Lale Citipitioglu Eidal, DNV Maritime, Norway Flemming Hjorth, DNV Maritime, Norway Jørgen Kadal, DNV Maritime, Norway Case 8: From Knowledge Management to Business Intelligence 145 Joël Van Hoolandt, Magma Consulting, Belgium Case 9: Enabling Cross-Project Knowledge Creation through “Knowledge Oriented Project Supervision” 163 Waltraud Grillitsch, University of Klagenfurt, Austria Alexandra Müller-Stingl, University of Klagenfurt, Austria Robert Neumann, University of Klagenfurt, Austria Case 10: Sharing Knowledge between Generations: a Case Study about Managing Apprenticeship in Italian Districts 181 Marco Ruffino, IRSEA and University of Bologna, Italy Case 11: Knowledge Based Methods in Cost Reduction Processes 195 Roberta Cuel, University of Trento, Italy Case 12: Supporting Mathematical Modelling by Guiding and Monitoring Huub Scholten, Wageningen University, the Netherlands Adrie J.M. Beulens, Wageningen University, the Netherlands iv 213 Real-Life Knowledge Management: Lessons from the Field Design and Implementation of KM Solutions Case 13: Knowledge Management for Organisations Dealing with Critical Incidents 235 Andrew Lewis, France Ben Diamond, West Midlands Fire Service, United Kingdom Case 14: prodela: On-Demand Training for Public Administrations 253 Liza Wohlfart, IAT, University of Stuttgart, Germany Dorothee Frielingsdorf, IAT, University of Stuttgart, Germany Case 15: Building KM @ Patni 269 Shashi Kadapa, Patni Computer systems Ltd., India Case 16: Identifying Key Skills and Competencies Across the Enterprise 287 Gary Cairns, AMEC NNC Limited, United Kingdom Case 17: Open Source Content Management System for a Sports Centre 301 Arthur Visser, I.C.E. Europe, Belgium Case 18: Virtual Collaboration in the Brazilian Mould and Die Making Industry 321 Rolando Vargas Vallejos, Universidade de Caxias do Sul, Brazil Patricia Wolf, Hochschule für Wirtschaft (HSW) Luzern, Switzerland v Real-Life Knowledge Management: Lessons from the Field Preface Background and Introduction There is a body of knowledge and literature around the broad theme of knowledge management. While some is grounded in scientific theories, others offer guidance on how to undertake successful knowledge management initiatives. There is however, very limited material on real-life cases that one can actually learn from. The aim of this book is to tap into the experience of members of the KnowledgeBoard community and to then share this experience through a structured set of hands-on case studies. Case studies offer an opportunity for reflection and learning through close examination of the domain or industrial sector presented within a case study. While some may argue that as opposed to scientific methods and theories, case studies cannot be replicated, they serve as a valuable mechanism for possible adaptation. They serve as an effective means for the capture of good and bad practices in a simple and reader-understandable manner. It may be argued that case studies are tacit in nature. This is true to the point that many rely on the experiences of those engaged in the case study. Thereby, they offer an opportunity to access the true source of knowledge. In the words of Albert Einstein, “The only source of knowledge is experience”1. In early 2005, we were time and again asked by different members of the KnowledgeBoard community for case studies on knowledge management. We explored the idea further and realised that a book on real-life knowledge management experiences could serve as an excellent mechanism for creating a portfolio of case studies from different domains and industrial sectors. Based on more than thirty expressions of interest and more than twenty case study submissions, we set about on the task to create KnowledgeBoard’s first book. Our main selection criterion for the cases was that they must be practical and easy to understand and together, should cover a broad set of domains and industrial sectors. Each of the eighteen case studies in this book has been peer-reviewed and where required, its contents improved. Real-Life Knowledge Management: Lessons from the Field is about the art and practice of knowledge management in real life settings. Knowledge is both created and shared within a context. Based on the hands-on experiences of the authors’where the knowledge was created and valuable lessons learned, this book provides the context for the sharing of this knowledge through a set of case studies spanning several domains and areas of practice. Through the eighteen case studies presented in this book, we learn about practical experiences in consultancies, financial institutions, fire fighting, global project management groups, public administrations, research and development organisations, small and medium enterprises, sports centres, the aerospace sector, the automotive industry, the construction industry, the IT sector, the maritime industry, the mould and die making industry, the nuclear industry, the oil and gas industry, and the water management sector. The case studies draw from a pool of experience spanning Austria, Belgium, Brazil, Finland, Germany, India, Israel, Italy, Norway, South Africa, the Netherlands, and the United Kingdom. 1 http://uk.encarta.msn.com/text_761562147___4/Einstein_Albert.html vii Preface Case Study Structure All eighteen case studies presented in this book have been organised around a common content presentation structure to foster ease of reading and understanding. Structured around industrial experiences and communities of practice, industry analysis and business modelling, and the design and implementation of knowledge management solutions, each case study features sections on industrial context, problem definition, learning objectives, approach, case analysis, key findings, business impacts, a set of conclusions, and most importantly, offers a valuable set of practical tips and lessons learned. Background Industrial Context Problem Background information on the case study from an industrial perspective Description of the problem(s) that the case study addresses Learning Objectives What the reader will learn from the case study Approach Tools, techniques, methodologies used for the investigation and analysis of the case study Case Analysis Detailed analysis and discussion of the case study Results and Business Impacts Key Findings Business Impacts Main findings from the case analysis including barrier & enablers of success/failure Verified and/or potential business impacts based on case analysis Conclusions Description of the issues addressed, reflections on the solutions identified, and identification of important emerging issues for further exploration Practical Tips & Key Lessons Practical tips and lessons learned from the case study. These are the main takeaways and nuggets for the reader Case Study Structure and Content Flow viii Real-Life Knowledge Management: Lessons from the Field Portfolio of Case Studies Knowledge is co-created and shared within a context. This book serves as such a context for sharing knowledge. Hopefully you will use it as a basis for new knowledge creation/adaptation within your organisations, and use it to get in touch with the authors to share your experiences and co-create new knowledge. We hope you enjoy this collection of real-life case studies in knowledge management as much as we and the authors did in presenting and compiling some of the great experiences we had in exploring, implementing, and being part of knowledge management initiatives in different industrial settings. Let us now explore what we can learn from each of the case studies. ix Preface Industrial Experiences and Communities of Practice 1 Learn, Exchange, Develop Peter Troxler and Kristina Lauche Learn, Exchange, Develop This case study is about how three organisations in the oil and gas industry implemented communities of practice to foster learning, sharing and development of knowledge. In this case study, we recognise that onedimensional, tactical implementations of communities of practice fail to deliver all potential. We learn the various characteristics of communities of practice that need to be addressed when designing such communities and understand that one purpose of communities of practice is to build capacities and that therefore their implementation needs a strategic approach. Peter Troxler Kristina Lauche The Knowledge Management Journey of Israel Aircraft Industry Rony Dayan, Edna Pasher and Ron Dvir This case study is about the journey of Israel Aircraft Industries into knowledge management. It describes how the plan was embedded in the company’s comprehensive change program which focuses on four core principles: customer; people; innovation and technology; and one company. In this case study, we learn how to need to balance well planned and emergent initiatives, central and local resources, comprehensive strategies and step-wise implementation. 3 Communities of Practice –A Case Study from the Automotive Industry Patricia Wolf Abdul Samad (Sami) Kazi x 2 The Knowledge Management Journey of Israel Aircraft Industry Rony Dayan Edna Pasher Ron Dvir Communities of Practice – A Case Study from the Automotive Industry Patricia Wolf and Abdul Samad (Sami) Kazi This case study describes how upon a merger of two automotive firms, a project aimed at facilitating co-creation of knowledge across different functional units was implemented. It provides an overview of the conception, implementation, and optimisation of the project. The case study provides reflections and key lessons learned on how crossfunctional communities of practice can be developed, nurtured, sustained, and as to what radical changes they may bring into existing organisational decision making processes. Real-Life Knowledge Management: Lessons from the Field Sharing through Social Interaction: The Case of YIT Construction Ltd. Abdul Samad (Sami) Kazi and Anssi Koivuniemi This case study introduces the concept of social processes and intervention points as effective instruments for the capture and sharing of knowledge in project-based industries such as construction. We learn the use of social processes in solving complex problems through crossfunctional teams and are exposed to new forms of knowledge visualisation through a combination of building product models and knowledge sources. Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis Sonja Blignaut 5 4 Sharing through Social Interaction: The Case of YIT Construction Ltd Abdul Samad (Sami) Kazi Anssi Koivuniemi Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis Sonja Blignaut This case study brings forth experiences from the information management division of a large financial institution in South Africa that was struggling with functional silos that prohibited their ability to leverage the strengths of their different areas of specialisation. In this case study, we are reminded not to forget the context in which an SNA was run. If run to determine the knowledge network, it should not be used to extrapolate the graphs to provide cultural insights. Beneath the Surface of Conscious Patterns: Using Narrative to Characterise the Culture of Innovation at a Leading R&D Organisation Gillian A. Maree, Dirk J. Roux and Mario A. Marais This case study provides insights into the use of narrative techniques to uncover behaviours, themes and archetypes beyond everyday conscious patterns of recognition within and R&D organisation. We learn of ten interesting archetypes for innovation, namely the: Clumsy Puppy, Couch Referee, Courageous Captain, Bright-Eyed-Bushy-Tailed Researcher, Inspiring Coach, Intellectual Maverick, Intrepid Explorer, Meticulous Bureaucrat, Narrow-minded Nitpicker and Willing Victim. 6 Beneath the Surface of Conscious Patterns: Using Narrative to Characterise the Culture of Innovation at a Leading R&D Organisation Gillian A. Maree Dirk J. Roux Mario A. Marais xi Preface Industry Analysis and Business Modelling 7 Applying Business Modelling to Knowledge Management Lale Citipitioglu Eidal Flemming Hjorth Jørgen Kadal Applying Business Modelling to Knowledge Management Lale Citipitioglu Eidal, Flemming Hjorth and Jørgen Kadal This case describes how one organisation, DNV Maritime, discovered and applied a unique approach to business modelling for developing and communicating effective knowledge management solutions within a complex environment of a wide range of processes, technologies, and competencies. We learn how business modelling can help describe and visualise all aspects of a business environments for use in identifying knowledge management needs and solutions. From Knowledge Management to Business Intelligence Joël Van Hoolandt This case study discusses the changes that occurred in a global knowledge management program within a big financial services company. We learn of the strategic knowledge management market segmentation within an audit firm and are informed that management shifts in knowledge management strategies are not accidental. The case study informs that international knowledge management projects embed changes within themselves, going from a technical stage to a people focus and, finally, a business intelligence stage. Enabling Cross-Project Knowledge Creation through “Knowledge Oriented Project Supervision” 9 Waltraud Grillitsch Alexandra Müller-Stingl Robert Neumann xii 8 From Knowledge Management to Business Intelligence Joël Van Hoolandt Enabling Cross-Project Knowledge Creation through “Knowledge Oriented Project Supervision” Waltraud Grillitsch, Alexandra Müller-Stingl and Robert Neumann This case study describes the concept and process of a successful institutionalisation to foster communication and sharing among through the use of knowledge oriented project supervision meetings. We learn of the reasons and pre-conditions for implementing knowledge management, the key concepts and processes of effective knowledge oriented supervision meetings, and how to institutionalise knowledge management within organisations in the long-run. Real-Life Knowledge Management: Lessons from the Field Sharing Knowledge between Generations: a Case Study about Managing Apprenticeship in Italian Districts Marco Ruffino 10 Sharing Knowledge Between Generations: a Case Study about Managing Apprenticeship in Italian Districts Marco Ruffino This case study concentrates on how effective knowledge management as opposed to knowledge transfer can be used as an effective learning mechanism for apprentices within SMEs. We learn of the typical knowledge transmission problems in SMEs-apprentice relationships and of strategies aimed at improving learning processes from both formal and non-formal learning perspectives. 11 Knowledge based Methods in Cost Reduction Processes Roberta Cuel Knowledge Based Methods in Cost Reduction Processes Roberta Cuel This case study presents how consultants manage knowledge in order to effectively produce value from their activities. It primarily focuses on social aspects, namely the relations among individuals that allow people to improve their productivity in terms of expertise in the service activity and innovation of products and solutions. We learn how cost management consultants through re-alignment of their strategies become knowledge brokers amongst producers and vendors and enable co-innovation amongst them. Supporting Mathematical Modelling by Guiding and Monitoring Huub Scholten and Adrie J.M. Beulens This case study discusses how a knowledge base can be used to solve complex multi-disciplinary problems through a model based approach in the water management sector. We learn how successful execution and completion of multi-disciplinary complex projects can be supported through a knowledge-based system. This system facilitates communication between team members and helps them to report what has been done, formatted for various purposes and audiences. 12 Supporting Mathematical Modelling Management by Guiding and Monitoring Huub Scholten Adrie J.M. Beulens xiii Preface Design and Implementation of KM Solutions 13 Knowledge Management for Organisations Dealing with Critical Incidents Knowledge Management for Organisations Dealing with Critical Incidents Andrew Lewis and Ben Diamond This case study discusses the development and implementation of knowledge management tools and processes for use by fire fighters. We learn how critical incident managers can integrate outside knowledge into their decision-making without experiencing information overload. The case study also describes how KM methods and tools can gain the trust necessary for their deployment in domains where lives are on the line and where trust is generally built through long-standing relationships. Andrew Lewis Ben Diamond prodela: On-Demand Training for Public Administrations Liza Wohlfart and Dorothee Frielingsdorf This case study discusses how an on-demand training solution was developed to help German public administration keep up their modernisation process through translation of theoretical concepts into real-life practice. We learn how by combining e-learning, traditional seminars and knowledge management in an innovative mixture can enable on-demand support and strengthen community aspects within public administrations. 15 14 prodela – On-demand Training for Public Administrations Liza Wohlfart Dorothee Frielingsdorf Building KM @ Patni Shashi Kadapa Building KM @ Patni Shashi Kadapa xiv This case study describes how a knowledge management initiative at Patni (global IT services provider) was used to build and sustain a focused KM solution to meet the challenge of generating knowledge value for a highly mobile global 10,000+ workforce, serving Fortune 1000 customers. We learn how to build a brand within an organisation around a knowledge management initiative and as to how to harness various drivers such as market, people, technology and others to make the knowledge management initiative sustainable and successful. Real-Life Knowledge Management: Lessons from the Field Identifying Key Skills and Competencies Across the Enterprise Gary Cairns This case study describes the design and implementation of a tool for identifying qualifications, skills, and experiences of employees within an enterprise engaged in the UK nuclear sector. We learn how to create a taxonomy of skills and competencies and build a database for enterprise sharing of this information. The case study furthermore provides guidance on how to apply change management principles to gain buy-in from all staff involved in the implementation and roll out. 17 Open Source CMS for a Sports Centre Arthur Visser 16 Identifying Key Skills and Competencies Across the Enterprise Gary Cairns Open Source Content Management System for a Sports Centre Arthur Visser This case study presents an insight into how the content management needs of a sports centre in the Netherlands could be satisfied through the implementation of an open source content management system. We learn of the key benefits and pitfalls involved in implementing a content management system for sports centres (or even SMEs). The case study also discusses the differences and financial implications between implementing an open source content management system and a proprietary one. Virtual Collaboration in the Brazilian Mould and Die Making Industry Rolando Vargas Vallejos and Patricia Wolf This case study discusses how competitors in the Brazilian die and mould making industry tried to establish stable relationships through the concept of virtual organisation breeding environments. The case study informs how through joining forces it was possible to have access to new technologies, to share information and knowledge, to qualify employees, to contract research projects and consultancy work. We learn that through the establishment of such collaborative networks, new co-created innovations may emerge. 18 Virtual collaboration in the Brazilian Mould and Die Making Industry Rolando Vargas Vallejos Patricia Wolf xv Preface Acknowledgements First and foremost, we would like to acknowledge and appreciate the enthusiasm and contributions from the numerous authors who have shared their experiences and lessons learned in this book. This book would not have been possible had it not been for them. We are grateful to Ron Dvir who voluntarily took up the task to add a visual touch to this book by engaging the artistic skills of his father Ayre Dvir who has done wonders with the artwork in this book. We would also like to acknowledge the support of the European Commission and in particular its IST programme for their financial support for KnowledgeBoard. We would like to thank you, the reader, for taking the initiative and time to explore and learn from the vast experience presented in the case studies in this book. We certainly believe that this will lead to new opportunities for the co-creation and sharing of knowledge. Ed Mitchell, the outgoing editor of KnowledgeBoard has been one of the main driving forces behind this book project. His constant probing and bubbling enthusiasm has provided an extra level of motivation in preparing this book. It is to Ed, that we humbly dedicate this book and look forward to remaining in his circle of friends. Dr. Abdul Samad (Sami) Kazi, VTT – Technical Research Centre of Finland Dr. Patricia Wolf, Hochschule für Wirtschaft (HSW) Luzern, Switzerland KnowledgeBoard, April 2006. xvi Dedicated to Ed Mitchell (outgoing editor of KnowledgeBoard) for his passion, enthusiasm, and jolly nature that help foster communication and interactive dialogue. Industrial Experiences and Communities of Practice 1 Learn, Exchange, Develop Peter Troxler Kristina Lauche Real-Life Knowledge Management: Lessons from the Field Learn, Exchange, Develop Dr. sc. techn. Peter Troxler, dipl. Ing. ETH VDI, [ k n w l d g ] (peter@knwldg.net) Dr. Kristina Lauche, Dipl.-Psych., TU Delft, Faculty of Industrial Design Engineering (k.lauche@io.tudelft.nl) Abstract Communities of Practice have become almost a standard answer to the quest of organisations to foster learning, sharing and development of knowledge. However, they still pose the classic challenges of Knowledge Management of finding the middle ground between technology-driven and people-driven approaches, between systematic solutions and mere fads, and between forced and self-directed participation. This chapter reports how three companies in the same industry implemented Communities of Practice. The examples show three fundamentally different approaches to the challenge, each with its own strengths and weaknesses. A meta-analysis of discussions among Knowledge Management practitioners and academics serves to contextualise the three examples and to develop a set of issues to be considered and questions to be addressed when implementing Communities of Practice. The chapter concludes that ‘ implementing Communities of Practice is all about designing practice’ . It drafts a design strategy based on the assertion that Communities of Practice ‘ have to dance between freedom and purpose’ and have to be allowed to (re-) negotiate their direction and circumstances. Keywords: Expert Systems, Communities of Practice, Current Trends and Developments, Case Study, Oil and Gas Industry Background Organisations are keen to create a culture that furthers learning from past experience, exchanging learning among employees, and developing the knowledge gained. Lave and Wenger found such cultures when describing learning and apprenticeship in groups as diverse as meat cutters, midwives, tailors, naval quartermasters and non-drinking alcoholics (Lave and Wenger, 1991). Their (initially descriptive) concept of Communities of Practice soon became more of a tool for organisational design (Wenger, McDermott and Snyder, 2002; Wenger, 1998) and the seemingly number one answer to the question of learning, exchanging and developing knowledge in organisations. Industrial Context The studies reported in this chapter are all situated in the energy industry, and more specifically in larger engineering service providers to the oil and gas industry. These companies operate globally as contractors to major operators. They employ up to several ten thousands of employees in multiple locations around the world. Multiple locations do not only refer to geographical separation 7 Learn, Exchange, Develop but also to working for different clients, often in the clients’offices. Engineering services comprise of both, turnkey solutions that involve a suite of engineering services to provide a comprehensive solution to the customer from design to project management and including fabrication of equipment and integration and commissioning, and customized services to meet specific needs of a client. Projects are typically secured through a competitive tendering process. Organisational characteristics include flat structures, regular reorganisations, and a high degree of specialisation. In terms of number of employees, the oil and gas industry is actually quite small. Therefore there is an unwritten rule, particularly among contractors, that “you don't burn bridges”in this industry. It is very likely that the same people and organisations will have to work together again on a later project. This creates a certain atmosphere of familiarity in the industry, which is quite unique. A second relevant characteristic is the cyclical nature of the petroleum market which companies readily follow. This leads to a hire-and-fire climate in the industry forcing employees in and out of the business, offering no steady lifelong opportunity. Thirdly, the workforce is rapidly aging, in a world steadily demanding more oil and gas, and the industry has not been too successful in attracting new employees. In many regions of the world, the oil and gas industry has reached a high level of maturity with experience in exploration, production and processing gained over decades. The industry is heavily knowledge based; it has developed and applied systems, policies and practices to manage this knowledge over at least two decades. The oil and gas industry has led the way in Knowledge Management for many years, and operators like Shell or BP are often referred to as flagship companies when it comes to the development and application of Knowledge Management in general and the idea of Communities of Practice in order to foster learning and to improve the exchange and development of knowledge. For service providers, however, it is often not only the inherent benefits of learning or of the exchange and development of knowledge that alerted companies to devote more attention to Knowledge Management, but the fact that competitors who started Knowledge Management activities earlier are able to offer their services at lower cost. One informant for example explained that the trigger for their new approach was ‘an incident that involved the company losing an international engineering project to another company.’ The alarming surprise was that the competitor bid for half the price without underselling their performance. The three case studies in this chapter investigate individual engineering companies and their approach to Knowledge Management. All of them work in the same industry –the upstream oil and gas industry –yet they cover different specialties. Problem The discipline of Knowledge Management has since its inception in 1986 (Wiig, 1986; Wiig, 1988) been plagued not only by the constant rivalry of technical and people approaches, but by also the quest to help, cause or oblige knowledge workers to share and develop their knowledge (Drucker, 1954). To foster knowledge sharing, Knowledge Management employs technical, organisational or motivational means, such as mandatory meta-data capture, over-instrumentalised descriptive concepts borrowed from disciplines such as ethnography, or even simply cheap awards. Questions of control and ownership of knowledge are largely left out in discussions; an assumed business rationality seems to presuppose that it is right that employees add their very knowledge as a surplus value to the ‘intellectual capital’claimed to be owned by the corporation and its share-holders and that they thus eventually contribute to their own alienation and self-exploitation. The problem in Knowledge Management practice is obviously finding the middle ground between technology and people, between fads and methods, between forced and self-directed participation. 8 Real-Life Knowledge Management: Lessons from the Field The three case studies and the discussions of Communities of Practice among practitioners and academics illustrate this drive for best practical solutions. Learning Objectives: • Recognise that one-dimensional, tactical implementations of Communities of Practice fail to deliver all potential benefits. • Understand that one purpose of Communities of Practice is to build capacities and that therefore their implementation needs a strategic approach • Learn about the various characteristics of Communities of Practice that have to be addressed when designing communities. • Appreciate that Communities of Practice can contribute to participation as well as to establish and reinforce control. • Acknowledge that Communities of Practice need to be given the freedom to (re-)negotiate their own purpose. Approach This chapter compares Knowledge Management strategies and their implementations found in three engineering companies in the upstream oil and gas industry. The three companies, however, have each a different approach to systems, policies and practices of Knowledge Management; they represent three exemplar approaches. The first case study was set in a company that developed a technology-driven Knowledge Management approach using knowledge engineering methods and solutions. Consequently, their Knowledge Management system was composed of a rule-based expert system and three knowledge bases that were linked together, providing easy access to the most valuable knowledge to the engineer workforce worldwide and linking engineering-related and other knowledge. Yet the company showed little to no recognition of the people aspects of Knowledge Management beyond knowledge elicitation and distribution. The second case study was based in a company that focused on the implementation of Communities of Practices as an extension to existing organisational structures. Initiated by senior management as a response to outside challenge, it built on experience from other subsidiaries of the company. Previously dominated by information management, the new approach embraced ‘people to solutions’as well as ‘people to people’paradigms. New communities were initiated and supported by central support staff; their tools were embedded in a web-based portal environment. The third case study showed a yet another approach in which Communities of Practice again played a central role when the company’s former, database driven Knowledge Management system needed replacement. However this company did go one step further in an attempt to substitute all existing organisational structures such as departments and locally based competence centres by Communities of Practice that operated and communicated on a global scale, supported mainly by Internet and telecommunications technology. The chapter then contrasts the three cases with key issues from the ongoing discussion among Knowledge Management practitioners and academics on the topic of ‘Communities of Practice’, particularly on the use of technology, the multiple design decisions required when implementing Communities of Practice, the questions of failure and stimulation of communities, and the dilemma of contrived vs. natural communities. 9 Learn, Exchange, Develop Case Analysis Case 1: Global Oilfield Services Provider The first case study was set in the context of a global oilfield services provider that has its headquarters in Houston, Texas. It employs about 25,000 people in over 90 countries. The actual case study was located in one of their divisions, which is highly specialized in one crucial step of upstream oil production and has its global operations base in Aberdeen, Scotland. This specialist field was not only relatively new but it also involved a wide set of skills from mechanical engineering, geology, physics, and other disciplines. Therefore, the community of skilled engineers was small. The company was operating worldwide. Its engineers were allocated, on a flexible basis and as business demanded it, to either of the two major sections responsible for the western and eastern hemisphere respectively. These engineers shared all the characteristics of a work-related Community of Practice. To streamline operations, to share past experience and to avoid running into similar problems twice, the company developed a Knowledge Management approach that was heavily reliant on database technology. The Knowledge Management system was composed of a rule-based expert system and three knowledge bases that were linked together – a set of performance guidelines, an online training system, and a repository of lessons learnt. Figure 1: Development of Knowledge Management and Communities of Practice (case 1): Triggered by working constellations and early success with an expert system a technologyheavy approach was pursued with little user involvement and little consideration for adequate employee training. 10 Real-Life Knowledge Management: Lessons from the Field The repository had been built using a knowledge engineering approach that included semantic modelling of the knowledge domain (Preece, Flett, Sleeman, Curry, Meany and Perry, 2001). Then, intensive knowledge acquisition campaigns were conducted with a small number of expert engineers. The knowledge acquired from each campaign was formalised in the semantic model, but also written-up in a natural-language knowledge book that was used to validate the accuracy of the knowledge captured and then to distribute the knowledge throughout the company. Later, the repository was ported to the company’s database driven intranet and extended with the performance guidelines and the online training system. A central support team maintained the whole Knowledge Management system. The three knowledge bases were operated as knowledge storage and retrieval systems. They were regularly updated with lessons learnt from project reviews, with general reviews of the project planning and execution process (primary process). Occasionally the Knowledge Management support team carried out knowledge acquisition campaigns to gather in-depth knowledge e.g. from strategically important projects or across all projects for a certain client. The knowledge bases themselves did not have the capability of making suggestions based on stored knowledge. Actions were entirely left to the engineers. Still, they were designed to provide all engineers with easy access to the most valuable knowledge. Particularly they allowed easy linking between engineering-related and other knowledge from the projects. We carried out a series of qualitative interviews with key engineering staff, a domain expert and a knowledge engineer, and a web-based survey with 39 engineers to analyse the use of the knowledge bases. The rule-based expert system was excluded from that study since it was only used by a couple of engineers at their central office. The study investigated frequency and ease of use of the knowledge-based systems and general user satisfaction. It showed that the systems were not being used to their full potential. The performance guidelines were the part of the Knowledge Management System used most. 90 % of users reported to be confident using that part of the system. Particularly more experienced users felt the guidelines were useful to their job. The repository of lessons learnt was used at a similar level as the guidelines. About half of the users felt the lessons learnt were reasonably useful, and they reported a good, very good or excellent satisfaction with the system. However, the introductory training did not enable users to report new cases without central support. This central support was not always available due to lacking resources. The online training system was the least used of the three systems. Additionally user satisfaction was lower: the training system relied heavily on the involvement of tutors. Users complained that tutors were slow to respond, if at all, to the learners’coursework. They also reported having not enough time to complete the coursework. Overall, the users reported easy access to and successful re-use of lessons learnt across geographical areas and across clients. Case 2: Engineering Contractor The second case study was situated at an engineering contractor that delivers design, construction, maintenance and operation services to the oil and gas and other industries in over 100 countries. The company employs about 85,000 people. Its headquarters are located in Houston, Texas. The case study itself is situated in one of their main European bases in Aberdeen, Scotland, which is part of their midstream and downstream operating segments. This business unit focused on the local implementation of Communities of Practices, initiated by senior management. 11 Learn, Exchange, Develop Introducing Communities of Practice had been a response to outside challenge, ‘an incident that involved the company losing an international engineering project to another company’, as an informant put it. The alarming surprise was that the competitor bid for half the price without selling their performance under price. The initiative mainly incorporated experience from other subsidiaries of the company. Previously, their focus had been on information management. The Communities of Practice approach embraced new paradigms, such as ‘people to solutions’and ‘people to people’. The Communities of Practice approach was very much driven by a central support team who initiated and supported new communities. Within half a year the number of communities quickly rose to 23, with topics ranging form electrical engineering to human resources, performance measurement and new graduates. The central piece of communication technology was a web portal, which included a ‘skill-finder’ database, a tool for threaded discussions, and any documents and tools or gadgets the communities choose to have on their portal. The intention was to replace peer-to-peer email habits with one central communication hub for a range of tasks. Figure 2: Development of Knowledge Management and Communities of Practice (case 2): From existing communities the idea was spread as a local initiative, making use of a generic portal product and systematic training for the champions who were in charge of leading a individual Community of Practice. Each community had a champion who promoted it and facilitated the internal discussion. Champions received a half-day training course, which provided background understanding into Communities of Practice and stages of their development, an update of the technological features of the web portal and a brief introduction to facilitation skills. Employees were encouraged to join communities as they wished; all were open to anyone with access to the company’s intranet. Individuals determined the content of their skill profile and updated it themselves. 12 Real-Life Knowledge Management: Lessons from the Field We carried out semi-structured interviews with eleven of the 23 champions and issued a web-based questionnaire to hundred members (89 returned) and hundred non-members of communities (26 returned). In the interviews, the champions reported a healthy mixture of users but a slow take-up of the idea of communities, and a number of usability issues of the web portal. Also, some voiced concerns over the long-term management support such as ‘other initiatives have fallen due to funding being withdrawn’or problems of ‘getting my boss interested’. The most active communities were those that already existed as professional groups with established social structures and regular meetings, and company-wide initiatives, which utilised the portal as a new communication channel. To our surprise, most interviewees perceived the rationale for Communities of Practice and the benefits so far as mainly local. A training day for community leaders and the experience of using the portal had began to raise awareness for the benefit of breaking down geographical boundaries to develop communities in a global context. The questionnaire data showed that 83.2 % of the respondents saw Knowledge Management as a priority and the majority was reasonably satisfied with how problems of knowledge transfer were addressed. However, 39.3 % felt it could be improved. The portal technology was evaluated as fit for use but employees felt there was too much focus on virtual meetings and not a strong enough vision of the future. Most participants showed an acceptable understanding of Knowledge Management, mainly centred on sharing of knowledge; there was no statistical difference between members and non-members. We did find statistically significant differences for the expected duration and the integration of Communities of Practice into the culture of the company: Members were more positive towards the integration into the culture, and expected Communities of Practice to last for five to ten years. Case 3: International Project Management The third company also delivers international project management and services to a multitude of industries. As such it is a direct competitor to the company in case 2. The company has its global headquarters in London. Worldwide, it employs over 44,000 people in about 40 countries. The case study is located in their Oil & Gas office that caters for North Sea and worldwide oil and gas installations. The company had had a formal Knowledge Management system for six years prior to our study. This system was essentially a database that could be accessed via the Internet by customers and employees alike. Additionally, there existed a few Communities of Practice, albeit in an informal manner. In 2002 the company implemented a new, global Knowledge Management strategy, which adopted a completely new organisational structure based on a very formal Communities of Practice approach. This new structure that went across countries, business units and industries effectively abolished the former, departmental structure of the organisation and regrouped everybody into Communities of Practice. The communication between community members took place mainly via the company’s web-based portal in so-called ‘e-rooms’. Employees could log on to these ‘e-rooms’and communicate by email and chat with colleagues around the world. Still community members also communicated on a more personal network, via telephone and in occasional meetings. Directors or department managers were appointed to manage each Community of Practice and each community was given an annual budget and was responsible for its allocation, alongside the hiring and firing of employees. 13 Learn, Exchange, Develop Figure 3: Development of Knowledge Management and Communities of Practice (case 3): An existing Knowledge Management approach (informal groups, Internet-enabled database) was replaced by a global Communities of Practice approach across countries, business units and industries where Communities of Practice replace the more traditional departments as organisational units. The case study we carried out was designed to help the company to reinvigorate their Communities of Practice. Of particular interest was to study if and how the Communities of Practice worked, what attitudes employees held towards them, whether they were viewed as problematic by community members or leaders, how they compared to past Knowledge Management programmes and what problems or advantages they held for communication throughout the company. The study was carried out using a web-based questionnaire that was distributed via the community leaders to which 121 employees responded. These included a cross section of employees in each of the organisation’s communities, plus the community leaders themselves. The results of the study showed that the majority of employees found the information they gained from the communities reliable. Communities met typically daily, and employees indicated they used their community portal for about an hour a month, mainly for networking, knowledge sharing and problem solving, often as the first port of call when a problem arises. The majority of employees rated the community portal as more effective for obtaining information, compared to individual methods. However, it was obvious from some of the answers that a small but significant number of employees had no knowledge of the community portal. The overwhelming majority of employees were not subscribed to any e-room, and even more worryingly, a number of employees reported in the open-ended questions that they had never heard of e-rooms and did not know what they were. Furthermore, the small number of employees who did subscribe virtually never used e-rooms, and stated that the training available for e-rooms was very inadequate. 14 Real-Life Knowledge Management: Lessons from the Field Overall employees had a positive opinion towards knowledge sharing, however they felt that too much emphasis was placed on e-mail and found that virtual communication was very impersonal. Finally, the majority felt that problems with knowledge transfer were not being effectively dealt with in the organisation, and over a third stated that the methods for obtaining information needed to be improved. Overall, this study suggested that, on the whole, the Communities of Practice strategy was being accepted by the employees and functioned well on a variety of levels, although there seemed to be a potential for the company to introduce global standards across the communities, ensuring that time and money was spent equally in developing all of the communities so they could be equally as effective. As the Communities of Practice had been enforced rather than developed organically, educating of employees, promoting of best practices and establishing organisational global consistency seemed key issues for the company. On top of this, the technology supporting the communities needed to become part of people’s daily routines and habits, ensuring all employees are involved regularly. A problem seemed to lie in the technology itself and it was suggested to re-evaluate the technology used. Practitioners’Issues The three companies, although belonging to the same industry, showed fundamentally different approaches to the problem of finding a ‘middle ground’ in Knowledge Management practice. Before we attempt to distil challenges and best practices from these examples, we wanted to validate whether the particular issues and approaches resonate with the general debate on the implementation of Communities of Practice. For this purpose, we carried out a meta-analysis of discussions by Knowledge Management practitioners and academics, held in an online special interest group on Communities of Practice, initiated by KnowledgeBoard’s Diane Moult and Miguel Cornejo (Moult and Cornejo, 2005). Figure 4: Number of replies and reads per discussions topic in an online special interest group on Communities of Practice by Knowledge Management practitioners and academics. 15 Learn, Exchange, Develop The online discussions took place over three years and covered topics in areas such as introduction of Communities of Practice (21 discussions), benefit of communities (9 discussions), technology support (7 discussions), definitions of ‘Community of Practice’(7 discussions), industry specific issues (3 discussions), topics inherent to academia, such as calls for conferences etc. (9 discussions), and a variety of more divers subjects (19 discussions). From all these discussions, six attracted a high number of reads and replies (see figure 1). These six discussions will be reported below. Discussion number 1 started out comparing email, online forum technology and weblogs as means of supporting knowledge transmission, and it also listed other Internet technology that could be used to support communities. The discussion highlighted in several posts that email was seen as easy to use, quick, light, and needed minimum connection time, whereas forums and similar tools were said to be more expensive. An allusion to individual-centric and organisation-centric aspects of support technologies was not explored fully. Discussion number 2 looked at another tool to support communities, namely wikis (a website that allows people to post and edit content and keeps track of the changes). It mainly listed the various possibilities of this type of technology and pointed to a number of examples, with people also exposing their own experience in using wikis, e.g. in a technical sales team ‘as a way of capturing the bang-up-to-date status of configurations and specifications for the systems’(Duckett, 2005), or in architectural and engineering design practices. The general opinion in this discussion, however, seemed to be that ‘larger rims with more hierarchical cultures seem to find the idea of giving everyone write access rather frightening’(Bartholomew, 2005). Discussion number 3 was an attempt to define several types of Communities of Practice, initially triggered by an APQC report on the subject (Leavitt, Hasanali, Lemons, Peltier, O'Dell, Hubert and McDermott, 2000). The report suggested four types of communities: Knowledge Stewarding Community, Helping Community, Best Practice Community, and Innovation Community. Other distinctive parameters were suggested, such as size; emergent vs. management initiated (or natural vs. contrived); formality (formal vs. informal); border (loose, including externals vs. tight); virtual vs. real (meaning mediated communication vs. face to face meetings); national vs. international; local vs. distributed; volunteer vs. mercenary participants; influence, power and corporate integration vs. informal peer-focused collaboration; core or marginal status. While such a discussion could not lead to a formal conclusion, it highlighted the multiple aspects of Communities of Practice that would have to be considered when designing effective communities that ‘have to dance between freedom and purpose’(Ash, 2004). Discussion number 4 evolved around the topic of failed Communities of Practice and the failure of certain practices or methods in the context of communities. There was a general agreement that learning from failures would be a valuable exercise and although ‘the conference circuit and publishing world sometimes allows spin doctoring to flourish’ (Chaundy, 2004), some actual failures were also being reported. However, many of the posts were a mere expression of frustration about ‘hierarchy based on age, nepotism, authority’(Gioacchini, 2004), the ‘fight for old privileges, (Gioacchini, 2004) or the feeling of a ‘lack [of] a real KM culture’(Guglielman, 2004). Discussion number 5 focused on the question how participation in Communities of Practice could be stimulated. Suggested methods included posting an interesting subject, holding kick-off meetings, changing the leadership, getting a moderator to post news, setting up events or projects. A recurring theme in the discussion was that ‘the real reason to participate is having some good reason to do it’(Cornejo, 2004), i.e. creating a good (business) reason to use the Community of Practice, and eliminating obstacles to doing so. Discussion number 6, finally, discussed quite controversially contrived vs. natural communities. The discussion started with the assertion that ‘efforts to establish what I call “contrived CoPs”(i.e. sponsored, supported by and accountable to management) will, for the most part, never yield the same richness found in naturally occurring CoPs’(Nickols, 2002) which generated some agreement (‘a “forced CoP”would be indeed, a contradiction in terms’(Por, 2002)) and some disagreement 16 Real-Life Knowledge Management: Lessons from the Field (e.g. quoting Etienne Wenger ‘Whether a community starts spontaneously or is seeded by the organization, its success depends on the initiative of people who have a connection to the domain, recognize the potential for the community, and are in a position to build on it.’(Por, 2002)), and even denial (‘I don’t believe spontaneous CoPs exist. At all.’(Cornejo, 2002)). The discussion then continued on the relationship between a community and ‘management’or ‘the organisation’and in what way Communities of Practice could be an instrument to attain tangible business goals. One participant, himself a former senior executive posted, ‘that performance is about capability and that knowledge is about building capability’ (Saint-Onge, 2002). He suggested building a ‘comprehensive knowledge strategy that will clearly contribute to building higher levels of sustainable performance’(Saint-Onge, 2002). Rather than imposing business objectives on the communities being formed, but Saint-Onge believed ‘that an organization can sponsor communities in an intelligent way’by focusing on the purpose of capacity building, by establishing a charter for each community, by supporting the communities with regard to their purpose and purview, and by ‘keep[ing] managers from taking over these communities and convert them as instruments of their interest’(Saint-Onge, 2002) since these ‘feudal landlords of the modern organization’(Saint-Onge, 2002) had to learn how to facilitate the horizontal, knowledge-based ‘conductivity’ of the organisation, not the traditional, vertical transactions. Another contributor, Richard McDermott confirmed this necessity to ‘keep the long-term capability building vision present’ instead of diverting the community into a short-term goal oriented task-force. Further, he suggested to ‘let the community shape its overall direction (even if it is a negotiation with management)’(McDermott, 2002) and thus to strike a balance between the ‘contrived’and ‘natural’poles set out at the start of the discussion. Results and Business Impacts Key Findings The first case study is a salient example for an approach that lacks consideration of the sociotechnical character of a Knowledge Management system (Coakes, 2002) both for implementation and use. Learning occurred only slowly because sufficient resources had not been allocated. However, the company could benefit from shared knowledge through the use of this system. The second case study can be seen as typical for the early stage of implementing Communities of Practice. It also is a representative of a ‘me-too’strategy in which Communities of Practice were introduced mainly because many of the competitors were doing it. Therefore, it does not come as a surprise that those communities that in actual fact existed before the introduction of the paradigm performed best, alongside with company-wide initiatives that mainly benefited from electronically supported communication. The third case study is particularly interesting since the company decided to use Communities of Practice as the main shaping principle of its organisational structure. Communities therefore became not only networks of learning but the basic founding blocks of managing the company. Alarmingly, the workforce did not seem to embrace this shift of paradigm as wholeheartedly as management expected, and even some of the respondents in our study quite frankly negated to be aware of some of the building blocks of that paradigm. The technology-driven approach to Knowledge Management in the first case achieved sharing of knowledge but encountered problems with people not being able to contribute to the system as planned initially. Learning only took place slowly because of lack of sufficient resources. However, the company could benefit from shared knowledge through the use of this system. The community-driven approach supported by portal technology in the second case achieves knowledge sharing but encounters problems with technology and the transfer from teams to the 17 Learn, Exchange, Develop organisation as a whole. It supports best existing communities and company-wide, global initiatives. The radical approach of the third case study seems prone to fail on two fronts. Firstly any organisational change bears the risk of being resisted and delayed. More importantly the instrument of Communities of Practice is probably not suited to deliver on all fronts or for all issues of managing an organisation. The early Knowledge Management initiatives as presented in the first case were mainly technology driven but failed to capture people's tacit knowledge. So the more recent initiatives in Knowledge Management as presented in the second case are directed at behaviour and culture. This second approach relies strongly on the concept of Communities of Practice, originally derived from anthropological studies of how communities share and pass on expertise. By participating in a ‘communal memory’, the individual can do their job without having to remember everything themselves. When the concept of Communities of Practice was introduced, it was intended to conceptualise already existing organisational practice (Lave and Wenger, 1991). Turning it into a management approach to improve Knowledge Management, however, meant that the people had to be encouraged to participate in what initially was voluntary and spontaneous. This poses some fundamental questions: To what ends does an organisation apply the concept of Communities of Practice? Does this increase renewal, participation and democracy in the organisation? Is the concept applied to establish and reinforce control? Business Impacts There are three core messages that seem to emerge from the case studies and the discussions reported in this chapter: 1. Institutionalised Communities of Practice have become a business reality. However, there are numerous questions that have to be addressed when implementing Communities of Practice, ranging from their strategic purpose to their practical relevance and the various issues related to their day-to-day running. 2. Technology to support the interaction particularly of distributed communities is equally a fact. As with the concept of Communities of Practice itself, technology selection and implementation has to consider strategic relevance as well as the practicalities of the every-day use and how technology fits with the organisational and individual practice and the habits of its users. 3. The evidence from our case studies and the reflections of experienced practitioners leads us to conclude, that the implementation of Communities of Practice is all about designing practice. Practice here means and includes directed activities of transforming tangible or intangible objects into an outcome by the application of tools; practice is directed by motives (i.e. a business purpose, a strategy, but also personal motives); and practice is situated in a social context with rules and a certain division of labour. Essential, it seems, is the notion that this whole activity system and its part need to be (re-)negotiable to a certain degree in order to sustain its ability of capacity building. Conclusions A lot of research and discussion has gone into the development of Communities of Practice, since it was popularised as a tool for interaction and communication in an organisational environment. Onedimensional approaches to the introduction of Communities of Practice do not seem to deliver the full benefits and performance the concept is believed to be able to deliver. However there are numerous success stories of Communities of Practice, if they are not, as sometimes suggested, the 18 Real-Life Knowledge Management: Lessons from the Field product of the conference circuit and publishing world. As Communities of Practice ‘have to dance between freedom and purpose’to sustain their purpose of capacity building, it appears relevant to allow them to (re-)negotiable their direction and circumstances. However, more theoretical conceptualisation and empirical research is needed to fully explore this aspect of Communities of Practice and their inception and management. Practical Tips and Key Lessons: • One-dimensional, tactical implementations of Communities of Practice don’ t lead to immediate failure. But they are not likely to deliver the full results and business impact. This means: If there is an immediate benefit of people working together in a Community of Practice it is worthwhile to explore this instrument. To leverage their real benefit, the introduction of Communities of Practice needs to look at long-term impact, too. • Implementation of Communities of Practice needs a strategic approach that is aimed to build capacities as an essential prerequisite to boost performance in organisations. This means: The long-term effect of Communities of practice is that a company builds capacities –such as information exchanges stored in computer systems, experience shared between employees, and the culture and organisational ability to draw on information, knowledge and experience across the whole workforce. These capacities will lead, eventually, to better performance. • Communities of Practice are shaped by a number of characteristics: intent; size; formality; volunteer vs. mercenary participants; influence; power and corporate integration vs. informal peer-focused collaboration; core or marginal status, to name a few. Creating a Community of Practice requires conscious decisions about these ‘ dilemmas’ . This means: There is no single recipe for “ the right form and shape”of Communities of Practice. The historical, commercial and cultural context of an organisation and the purpose of Communities of Practice need to be taken into account when deciding on the appropriate format. • Implementation of Communities of Practice has to address the questions: To what ends does an organisation apply the concept of Communities of Practice? Does this increase renewal, participation and democracy in the organisation? Is the concept applied to establish and reinforce control? This means: Communities of Practice can be used to control employees. Or they can be used to give them the chance to participate in the development of a company. Either way, when introducing Communities of Practice, one has to be clear what is intended to avoid creating false hopes among participants. • Communities of Practice ‘ have to dance between freedom and purpose’ . Part of this dance is for Communities of Practice to have the freedom to (re-)negotiate their own purpose. This means: If Communities of Practice are too focused on a narrow purpose they are likely to fail to deliver beyond those boundaries defined initially. As a business and its environment change and as Communities of Practice mature, they need, at least, to readjust their purpose. Moreover, Communities of Practice have the inherent potential to “ think beyond boundaries”and to instigate creativity and innovation –if they are allowed to do so. 19 Learn, Exchange, Develop Acknowledgements We would like to acknowledge the support of Elaine Blows, Lyndsey-Anne Borrowman and Joanne Henrietty, who collected data for the individual case studies as part of their degree studies at Aberdeen University. We are also grateful to our contact persons in each of the companies and all participants for their time and support. References1 Ash, Jerry, 2004, Re. Different Types of CoPs. Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=2155, last accessed 30.08.2005. Bartholomew, David, 2005, Experience with wikis. Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=2782, last accessed 31.08.2005. Chaundy, Claire, 2004, Failed KM practices. Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=2694, last accessed 30.08.2005. Coakes, Elayne, 2002, Knowledge Management: A sociotechnical perspective, in Elayne Coakes, Dianne Willis, and Steve Clarke, eds.: Knowledge Management in the SocioTechnical world (Springer, Berlin). Cornejo, Miguel, 2002, Re: "contrived" vs. natural communities. Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=687, last accessed 30.08.2005. Cornejo, Miguel, 2004, Something to discuss about. Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=2605, last accessed 30.08.2005. Drucker, Peter F., 1954. The Practice of Management (Harpers and Row, New York,). Duckett, Tim, 2005, A very effective tool. Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?&comment=2779, last accessed 30.08.2005. Gioacchini, Raniera, 2004, it's a fight for old privileges. Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=2332, last accessed Gioacchini, Raniera, 2004, oral vs. written. Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=2226, last accessed 30.08.2005. Guglielman, Eleonora, 2004, Italian organizations and KM culture. Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=2228, last accessed 30.08.2005. Lave, Jean, and Etienne Wenger, 1991. Situated Learning: Legitimate Peripheral Participation (Cambridge University Press, Cambridge). Leavitt, Paige, Farida Hasanali, Darcy Lemons, Neil Peltier, Carla O'Dell, Cindy Hubert, and Richard McDermott, 2000, Building and Sustaining Communities of Practice, (American 1 Note: due to a relaunch of the KnowledgeBoard website, all online references at http://www.knowledgeboard.com can now be found at http://forum1.knowledgeboard.com by simply replacing the leading www by forum1 in the addresses given in the list of references. 20 Real-Life Knowledge Management: Lessons from the Field Productivity & Quality Center (APQC)). Available online at http://www.apqc.org/portal/apqc/ksn?paf_gear_id=contentgearhome&paf_dm=full&pagesele ct=detail&docid=100577, last accessed 31.08.2005. McDermott, Richard, 2002, "contrived" vs. natural communities. Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=720, last accessed 30.08.2005. Moult, Diane Le, and Miguel Cornejo, 2005, KnowledgeBoard: the European Knowledge Management (KM) Community - SIG - Communities of Practice, (Knowledge Board). Available online at http://www.knowledgeboard.com/community/zones/sig/cp.html, last accessed 14 September 2005. Nickols, Fred, 2002, "contrived" vs. natural communities. Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=668, last accessed 30.08.2005. Por, George, 2002, Re: "contrived" vs. natural communities (1). Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=669, last accessed 30.08.2005. Por, George, 2002, Re: "contrived" vs. natural communities (2). Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=674, last accessed 30.08.2005. Preece, Alun, Alan Flett, Derek Sleeman, Daivd Curry, Nigel Meany, and Phil Perry, 2001, Better Knowledge Management through Knowledge Engineering, IEEE Intelligent Systems 16, 3643. Saint-Onge, Hubert, 2002, Re: "contrived" vs. natural communities (1). Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=689, last accessed 30.08.2005. Saint-Onge, Hubert, 2002, Re: "contrived" vs. natural communities (2). Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=697, last accessed 30.08.2005. Saint-Onge, Hubert, 2002, Re: contrived vs. natural communities (3). Available online at http://www.knowledgeboard.com/cgi-bin/forum.cgi?comment=717, last accessed 30.08.2005. Wenger, E., R. McDermott, and W. Snyder, 2002. Cultivating Communities of Practice: A guide to managing knowledge (Harvard Business School Press, Boston). Wenger, Etienne, 1998. Communities of Practice: Learning, Meaning, and Identity (Cambridge University Press, Cambridge). Wiig, Karl M., 1986, Management of Knowledge: Perspectives of a New Opportunity, Conference on Expert Systems (ILO, Gottlieb Duttweiler Institute, Rüschlikon/Zürich). Wiig, Karl M., 1988, Management of Knowledge: Perspectives of a new opportunity, in U. Fellman, and T. Bernold, eds.: User Interfaces: Gateway or Bottleneck (North-Holland, New York, Amsterdam). 21 Learn, Exchange, Develop Authors’Biographies Peter Troxler works as a Knowledge Management expert with management consultancies in Europe. He supports organisations in the private and public sector to building management systems for the knowledge economy. Peter has worked in academia at ETH Zurich, Switzerland, at the University of Applied Sciences Solothurn Northwestern Switzerland, and at the University of Aberdeen, Scotland. His main interests are cross-disciplinary issues at interface of industrial psychology, IT and engineering, and management science. Peter Troxler holds a Dr. sc. techn. in Industrial Management from ETH Zurich, Switzerland. He is a member of many professional organisations, notably the Swiss Associoation of Industrial Psychologists (SGAOP), the International Council of Systems Engineering (INCOSE), and the German Association of Engineers (VDI). He is a member of and a regular contributor to KnowledgeBoard, the online community of the European KM Forum. Kristina Lauche is an Assistant Professor in Design Methodology at the Technical University of Delft, the Netherlands. Her research focuses on team interaction in complex work environments. Research topics include organisational change and learning, product innovation and participatory systems design. Kristina received her PhD in Psychology from the University of Potsdam, Germany. In her research career she has worked at the University of Munich (Germany), ETH Zurich (Switzerland), the University of Aberdeen (Scotland), and the University of Helsinki (Finland). She is a member of the Society for Industrial and Organizational Psychology (SIOP), the German Society of Psychology (DGPs), and the International Design Society. 22 2 The Knowledge Management Journey of Israel Aircraft Industry Rony Dayan Edna Pasher Ron Dvir Real-Life Knowledge Management: Lessons from the Field The Knowledge Management Journey of Israel Aircraft Industry Rony Dayan, Israel Aircraft Industry (rdayan@iai.co.il) Edna Pasher, Edna Pasher and Associates (edna@pasher.co.il) Ron Dvir, Innovation Ecology (ron@innovationecology.com) Abstract Firstly, we tell the story of the journey of Israel Aircraft Industries (IAI) into Knowledge Management. We show how the plan was embedded in the company’ s comprehensive change program which focused on four core values: “Customer”, “People”, “Innovation & Technology” and “One Company”. Knowledge Management has been originally part of the “Innovation & Technology”value – but in time managed to relate to, and support all four values. We then briefly describe the KM plan of the company and its 12 chapters. Several organisational mechanisms to support the implementation of the KM program are discussed, including performance measurement, the KM handbook and the distributed organisational structure of the program. We chose to describe in details one of the modules of the program – Fostering the knowledge of core Competence Centers. A systematic process to define such centers is outlined, and a list of many different ways to support and nourish such competence centers is proposed. This case is concluded with a list of several tips which are especially valuable for large and complex organisations that attempt to address systematically the challenges of effective Knowledge Management. For example, we elaborate on the need to balance well planned and emergent initiatives, central and local resources, comprehensive strategies and step-wise implementation. Keywords: Knowledge Management, Competence Center, Community of Practice, Change, KM Implementation, KM Measurement, Aerospace Background Industrial Context It all started many years ago, before the Knowledge Management program in Israel Aircraft Industry (IAI) began to take shape. At the beginning of our collaboration, Edna Pasher & Associates consulted the IAI on the process of turning production and service units (such as the training unit) into autonomous profit centers. The concept of "Profit Centers", which helped to create a business culture, had a problematic side effect: it also created internal competition. As a result of the pressure to show profit, the different business units of IAI began to compete with one another, sometimes over the same customer, and the culture that emerged was characterized by lack of knowledge sharing. It became clear that something had to be done about this. IAI was still perceived as one united company in the market, and the IAI had to overcome the lack of cooperation between the different units in order to improve and stay competitive in the changing markets of the 21st century. As a result of this emerging need for unity, in 1997 the head of the Electronic Group at IAI turned to Edna Pasher & Associates as consultants, asking for ways to strengthen the subject of knowledge 25 The Knowledge Management Journey of Israel Aircraft Industry sharing within the group. This will be further discussed in details. In addition, IAI started a Change Program in February 2000 aiming to define and implement various actions to support the four values established: • Customers • People • Innovation and technology • One Company Knowledge Management was added as one of the actions of the "Innovation and Technology" value. Back in May of 1997, Edna Pasher & Associates1 met with the head of the Electronic Group. He felt there was a need to find ways in which to encourage and accelerate an atmosphere of cooperation and knowledge sharing among the 17 different "planets" of the group. The recommendation made was to hold a series of "knowledge café" events. Knowledge cafés are multiple-participants events in which a special technique is used to enable meaningful and fertile conversations for the establishment of knowledge sharing and for the encouragement of innovative group thinking. The events were advertised throughout the Electronic Group, and were opened to any of the workers who wished to come. The first event dealt with several topics, such as "the reciprocal relations between the company – the group –the division", "intellectual capital management in the company" and others. Following were seven other events, which focused on a variety of issues: starting with "ways for enlarging the division's profitability", through "business intelligence" and "intellectual property". Meanwhile, as mentioned above, the change program of IAI started to evolve and emerge. That, along with the success gained from the "knowledge café" meetings, the IAI decided to invest in knowledge management as a milestone in the company's cultural change. In March 2001, IAI established a steering committee whose objective was to define the knowledge management actions. It included experts in strategic thinking and processes, along with IT experts, and experts from the field of industrial engineering. The committee employed a team of three consultants (Edna Pasher & Associates, Ron Dvir of Innovation Ecology and Moria Levy of ROM Knowledgeware) who began with a comprehensive diagnosis process. This process included a survey of around 400 IAI employees, along with one hundred interviews of employees in numerous occupations and various levels of management. The diagnosis was limited by the steering committee to three subjects –engineering, production and maintenance. The results of the diagnosis pointed at several issues of knowledge management that should be addressed: 1 • A gap was found between whom the employees cooperate with and whom they should be cooperating with, in order to achieve the best results. • There was significant interest in communities of practice (CoPs). • There were “competence centers”at IAI that showed expertise performance in technologybased development or at giving specific kinds of service, and those "knowledge islands" needed nurturing and investment. • Employees gave a lot of credit to the method of best practices. With the contribution of Michal Goldberg 26 Real-Life Knowledge Management: Lessons from the Field • A need for a computation system that would enable better documenting and retrieving of knowledge was discovered. It took the team a couple of months to establish and to summarize all the information collected during the extensive diagnosis process into a fully planned knowledge management strategy. Beyond the three activities mentioned above, the steering committee initiated a pilot for knowledge management implementation in one division, inclusive of all fields. However, opposed to the plan, the Electronics group wanted to begin implementing a knowledge management program of its own and unrelated to the company's effort. Sounds like a problem? Not necessarily. We believe that almost all problems, including this one, could be turned into opportunities. And so, following the activity of this unit, we used the situation as a learning ground on what to do, as well as what to avoid, for the systematic implementation of knowledge management. The lessons we learned from the pilot became a valuable part of our diagnosis report, and later-on, of our strategic knowledge management plan. Problem This case presents several issues with which we dealt at the strategic level and at the implementation level. • The most basic problem with which the whole project began, which we have already described, was the lack of knowledge sharing within the company. That was the result of the decentralized organizational structure of IAI. As a huge organization that includes over 30 units and around 14,000 employees, IAI is naturally susceptible to the lack of knowledge sharing. • The biggest obstruction for knowledge sharing, as we learnt from the diagnosis process, wasn't the perception of knowledge = power, as found in numerous organizations. The obstruction of knowledge had to do with the "Not Invented Here" approach, which means: "it came from another organizational unit/division, so it's probably not relevant to us". • Since IAI started a vast change process that involved the four values described above, another challenge it faced was the integration of the knowledge management along with it. The two programs, held within a two-year period, were in some aspects, addressing similar values ("One Company", "Innovation", and others), but in a different way and through a different focus. • Another challenge at IAI had to do with "knowledge dripping". Many of the company's retiring employees were, after years of working, experts who held allot of valuable knowledge, which they took with them when they left. • There was a problem of "re-inventing the wheel" found throughout the company. It was even more meaningful due to the fact that the work at IAI is usually done in the form of projects, typical of a vertical structure. We found that there was a need to improve the amount of learning that was done from one project to another. Recently, IAI has been trying to deal with this problem by managing its projects using the Integrated Product Team (IPT) method. • Possibly the biggest challenge found was innovation. We discovered that although there were strong innovative powers in the company, they were all local powers. A massive and systematic emphasis on the encouragement of innovation was needed. 27 The Knowledge Management Journey of Israel Aircraft Industry Learning Objectives: • Integration the knowledge management program to the existing company values, strategy and processes. • Establishing an implementation plan that combines the different aspects of knowledge management into a coherent conceptual framework, which covers the "life cycle" of knowledge. • Creating a system for monitoring and passing down the knowledge management plan to all hierarchal levels. • Establishing a framework for measuring the progress and achievements of the implementation process. • "Competence centers" as a procedure that encourages knowledge collection, knowledge sharing and innovation. • Establishing "communities of practice" in a distributed company with separated organizational units. • Creating a support structure. Approach The analysis of the IAI case is based on a “participants as observers”approach. One of the authors was a member of the KM steering committee at the earlier phase of the project, and was then nominated as the company Chief Knowledge Officer. The other two authors took an active part throughout out the KM program creation and introduction process, as process and content consultants, workshops facilitators and analyzers in the three parts of the case described in this chapter, namely strategy formation, Communities of Practice building, and Competence Center creation. Conclusions were based on a relatively large number of “mini-cases” – about 15 CoPs and 38 Competence Centers that were explored. For the analysis we used a large body of documentation: • The KM handbook. • A comprehensive set of documentation referring to the program and to its implementation in IAI • The metrics related to KM, documented in the company overall implementation management system –the Policy Deployment Model (PDM). • The detailed documentation and planning forms of each of the Competence Centers, based on a standard template. For the purpose of this case study, we focused our attention on a general analysis of the program and on one specific application –the Competence Centers. The reason for choosing this particular application out of 12 procedures covered in the IAI KM program was that this application surfaces many of the human, cultural, business and technological challenges related to KM in a company with the characteristics of IAI. 28 Real-Life Knowledge Management: Lessons from the Field Case Analysis Part I: The Strategic KM Program Knowledge Management as a Comprehensive Program The Change program of IAI started in February 2000 with the definition and implementation of the various actions backing up the four values established: • Customers • People • Innovation and technology • One company Knowledge Management (KM) was established as one of the actions for the “Innovation and technology” value. In fact Knowledge Management turned out to be part of other defined actions within the program (as the process of identifying core competence centers within the various divisions, the “Customer intimacy” action – intended to create a sense of closeness between the customer and IAI employees at all levels, or the action to implement debriefing as a regular way of proceeding after any meaningful event, created within the context of a “learning organization”) (Dayan, 2003). The purpose of Knowledge Management has been to foster innovation and to create and share knowledge, in order to promote business goals. IAI, therefore defines knowledge management as the process of identifying, capturing, leveraging and creating knowledge to deliver value to our customers. Various frameworks represent knowledge management implementation in different companies. Some are minimizing and suffice with an Intranet having the task of sharing knowledge; some are implementing sharing through the ever popular "Communities of Practice". We believe Knowledge Management should be viewed as a comprehensive program including all phases in its life cycle, so we have presented it for implementation divided into four chapters: • Knowledge Capture and Documentation • Knowledge Retrieval for Re-Use • New Knowledge Creation • Knowledge Sharing The ultimate goal of the Knowledge Management action being to achieve a required Competitive Advantage, we have phrased out for each chapter specific procedures to perform the required activity and to measure their influence and effect on business results. We have made our utmost to create within the implementation of the program an open mind for IAI employees to view their own world as part of a much larger environment, including customers, partners, and suppliers, within the context of the “extensive enterprise”, but with competitors as well, to bring in Knowledge from the outside world and transform it into Knowledge based products and services. The program approved by IAI management includes the appointment of a full time Director of Knowledge, who operates under the hospices of the Vice President for R&D and Strategy, and in addition, the appointment of a part time Knowledge Manager for each and every division and headquarter organization to initiate and coordinate the activities within the division (about 30 people all together). Upon initiation, a steering committee was instituted with representatives from all IAI groups as well as from the corporate organizations. The various tasks of the committee included the update of the 29 The Knowledge Management Journey of Israel Aircraft Industry Knowledge Management strategy, setting priorities for the implementation of the program, and controlling the program budget management. The Knowledge Management Vision New Knowledge Will be created, Shared, And reused, As part of IAI personnel’ s common practice, For the achievement of IAI’ s vision And the fulfillment of its goals Figure 1: The Knowledge management vision The Knowledge Management Chapters Knowledge Capture and Documentation This is the basis of Knowledge Management. Without it, there is no room for retrieval and re-use. IAI employees gather a great deal of knowledge along their work –professional Knowledge coming from experience, knowledge about processes, about projects, about the external environment (customers, suppliers, opportunities), or about company products. In many cases, this knowledge remains with the expert and is not available to others. Knowledge capture and documentation enable the extraction of this knowledge to become a strategic asset by replacing tacit with explicit and personal with organizational. Knowledge Retrieval for Re-Use Retrieval and re-use of existing knowledge prevents us from reinventing the wheel time and again, prevents us from reiterating previous mistakes and enables the duplication of successes; thus, fostering professionalism, making processes more efficient, and diminishing development cost and time to market. New Knowledge Creation In a time in which competition constantly increases and in which time, quality and budget are of essence, knowledge creation and innovation are a vital necessity of any organization and the capture and re-use of existing knowledge are no longer sufficient to cope with the rate of growth necessary for the organization to stay ahead of the competition. Knowledge Sharing In a competitive market, in which time-to-market is constantly shortening and competition is about alertness, price, innovation and professionalism, knowledge sharing within the organization is an essential condition to its sustained success. 30 Real-Life Knowledge Management: Lessons from the Field Implementation The Knowledge managers convene once a month, each time in a different division, to get insight about local successes and difficulties and also to discuss common issues related to the implementation of the program. At one of the first of these conventions, the Knowledge managers voted for a set of procedures to support the four above mentioned chapters and they are: Knowledge Capture and Documentation • Critical Knowledge capture • Lessons learned extracted from debriefings and from day-to-day activity • Content management Knowledge Retrieval for Re-Use • Fostering the Knowledge of core competence centers • Knowledge in price proposals • Establishing a business Knowledge base • Establishing a technological Knowledge base New Knowledge Creation • Knowledge extracted from the innovation process • Knowledge created along the new product initiative process Knowledge Sharing • Communities of practice • Generating best practices • Using portals to share Knowledge A general overview of the program is shown in Figure 2. 31 The Knowledge Management Journey of Israel Aircraft Industry Content management Knowledge capture and documentation Technological data-base Knowledge retrieval for reuse Business data-base Knowledge Capture Lessons learned Knowledge in price proposals Project Knowledge New knowledge creation Intranets sharing Knowledge sharing Good Practices Competence Centers Knowledge from Innovation Communities of Practice Figure 2: The program's chapter and procedures The KM Handbook Given the comprehensive nature of the Knowledge Management program, Knowledge managers are required to carry out at least one procedure out of each of the above chapters. For the purpose of having a standard set of procedures describing the various processes mentioned above, a Knowledge Management handbook was written and published within IAI with the help of Edna Pasher & Associates. Its purpose has been to commonly answer across IAI questions as to why, what, who, how and when do we do anything to support the full life cycle of Knowledge Management. Each and every procedure is described in details though the handbook as a whole gives a complete picture of the program to enhance its comprehensive nature. For each procedure we have included the following sections: 32 • Introduction and definition of terms • The requirement • Purpose and goals • Process description • Technology and other resources backing • Organization • Measurements • Cultural content and training required Real-Life Knowledge Management: Lessons from the Field Monitoring The process used by IAI for the management of its change program (inclusive of the Knowledge Management program), is based on the Hoshin Kanri method 2 (Kondo 1998). Hoshin Kanri is a Japanese technique for deploying company strategy down to an individual’s annual objectives. Thus a logical link is made between the CEO's intent and the individual daily actions. Hoshin Kanri can be literally translated as Policy Management, but in the anglicized world, “Management” has become “Deployment” (Palmer 2004). The Hoshin Kanri process is first, a systematic planning methodology for defining long-range key entity objectives. These objectives are planned for the following year and do not change within the year. Second, the Hoshin Kanri process does not lose sight of the day-to-day "business fundamental" measures required to run the business successfully. This two-pronged approach provides an extended period for the organization to focus its breakthrough effort while continuously improving key business processes on a day-to-day basis. Hoshin Kanri ensures that everyone in the organization is working toward the same end. The plan is hierarchical, cascading down through the organization and to key business-process owners. Ownership of the supporting strategies is clearly identified with measures at the appropriate level or process owner within the organization. In the Hoshin Kanri process, strategic planning is systematized: The format of the plans is unified via standards. The standardization provides a structured approach for developing and producing the organization's strategic plan. The structure and standards also enable an efficient linkage of the strategic plan through the organization. This ultimately leads to an organization-wide understanding of not just the plan but also the planning process. The hierarchical linkage attribute of the Hoshin Kanri plan occurs because of the passing-down process of the plans at each succeeding level. This is the cascading attribute of the Hoshin Kanri planning process. It is a very important step in empowering the organization. As each succeeding level accepts its portion of the plan, it has been involved in the plan's development by adding detail where it can best contribute and add value. This is also, how the organization buys into the plan; it now has some ownership of the plan itself. The Hoshin Kanri methodology is a strategic planning process with the built-in ability to empower the organization. Measurement The Knowledge Management program made it a point to continuously stay linked with the operational and business measures of the division. We are now measuring practically everything we do within the change program in IAI and the Knowledge Management program is different only in that it didn't limit itself to plain performance measurement, but went an extra step in defining three levels of measurements: • Performance measure • Throughput measure • Result measure To clarify the measurement process, we will use the "communities of practice” procedure as an example to describe the measure levels: • 2 Performance - we are measuring the number of people joining the community, the frequency of their meetings, the members’attendance, and the amount of knowledge shared. The subject has been addressed in a workshop at the KM-Asia Summit in Singapore in October 2005. 33 The Knowledge Management Journey of Israel Aircraft Industry • Throughput - we have required communities of practice within IAI, to self determine goals. The achievements of these goals, or the generation of best practices out of the meetings, are throughputs to be measured. • Result - we are aiming at finding a relationship between actual business results and Knowledge Management activity. Measuring those results that are directly or indirectly accountable to throughputs of the community are a result measure. IAI is using a method of self-assessment for the implementation of various processes across the company. The knowledge management implementation is self-assessed as well. The method is based on the well established capability maturity matrix (CMM) that grades in 5 levels the depth to which an organization has arrived in the implementation of a given process: • Awareness • Training • Understanding • Commitment • Habit At least twice a year, a committee internal to the division and appointed by its GM assesses the level achieved in the implementation of KM in the division. This is done using a detailed set of questions about every aspect of the program. The questions seek an appraisal of the locality of the implementation, as opposed to processes characterizing the whole organisation, the occurrence of throughput of it and the awareness to its affect of the operational and business results. Another issue being assessed, is the level of the source of initiative to the program –does it stay at corporate level or does it go down to the division, to the directorate or maybe even to the personal level. The leveled approach to assessing the maturity of the assimilation of a process is a matter of essence. The mere awareness of what "is done" in this process can not be but the very beginning of the implementation. The next stage is the methodological one in which the details of "what is done" are now being trained and implemented, creating a common language. Only when you understand a process, you can fully implement it, not only by the word, but also by the spirit. Then comes the commitment phase and only latter the process implementation becomes a habit and is not considered a process anymore. The internal assessment is moderated on a yearly basis, by a team external to the division that includes IAI’s director of knowledge, a representative of the KM steering committee, and a knowledge manager from another division. Those results are negotiated with the division’s management whose purpose is to learn from the assessment in order to correct its implementation method and improve its results. Building on the cultural content of the KM program, the selfassessment results are also positively published on the intranet and are another source of internal competition within the company to give it a catching effect. Senior Management and Employee Support Senior management is involved in the program in a few ways: • 34 The General Managers of the divisions are considered as the customers of the program. Once a year, during the period in the fourth quarter allocated for planning for the following year, they set their goals and targets. These are picked by the knowledge manager who then establishes the KM program for the following year, choosing procedures to better achieve the division's goals. These constitute the basis of the plan for the following year program. Real-Life Knowledge Management: Lessons from the Field • Communities of practice in IAI are induced self-organizations. That is to say, management is involved in creating the opportunity for the communities to form, and then, their participants are left to decide by themselves if they want to join the community. To each community a sponsor belonging to the top management level of the company, is assigned. The members are required to vote on a set of common goals they are committed to, but the sponsor approves those goals. This process creates an involvement of management that helps both ways. Case Analysis Part II: Competence Centers Background Out of the many modules of the comprehensive KM program of IAI, the company chose to focus in 2005 on “competence centers”. The CKO realized that in an engineering based organisation, this mechanism could bring about significant results. During the period of April 2005- November 2005 we ran 38 workshops with 38 competence centers – and each was based on an in depth conversation with key players of the existing or emerging center. The analysis in this section is based on these workshops. What is a Competence Center? IAI uses the following definition: “A competence center is an employee or group of employees which are responsible for a specific knowledge domain (that includes databases, information and expertise) and are capable to turn this knowledge into value to the company and its customers. A competence center can be a technological, operative or production group which provides the company with a business and competitive advantage and is critical to the nourishment of existing business lines or to the development of new ones”. What do Competence Centers do? Each competence center has a clearly defined mission, which is related to the provision of specific business related services to the internal and external customers of the company. In addition to its main mission, a competence center is expected to fulfill several roles which support the creation, documentation and sharing of knowledge related to the center’s expertise area: • Mapping the current knowledge situation of the organisation and identify emerging knowledge needs of the center’s internal and external customers.. • Turning tacit knowledge of the individual experts into tangible documented information which is accessible to more employees. • Continuously developing the expertise of the center and the organisation and ensure it remains as a market leader and is well updated with the state-of-art knowledge. • Identifying of emerging and disruptive technologies as well as global trends. • Sharing the center’s expertise with other functions in the organisation. • Distributing information about the center’s expertise and knowledge. • Exploiting systematically the center’s competencies to the needs of the various units of the organisation. 35 The Knowledge Management Journey of Israel Aircraft Industry • Marketing the center’s marketing (internally and externally) and actively developing the demand for its knowledge and services. • Managing, creating, exploiting and protecting the Intellectual Properties created by the center. • Nourishing the “next generation”and systematically coaching and training new experts in order to ensue continuity of the center’s competencies. Characteristics of Competence Centers We came across diverse types of competence centers in IAI which can be described along the following dimensions: Lifecycle stage: Few centers are groups which exist for many years and seem to be beyond their peek. Others are mature centers, and few of the centers are just emerging. Focus: the centers are categorized into technological, operative and production centers. Clearly, the most important ones in IAI are the technological ones thus most efforts were invested in these centers. However, in some cases this clear cut distinction is not as clear. Size: Most competence centers include about 5-10 members. However, there was an exception of a one person competence person. Organizational composition: some centers have been homogenous and included members from a single organisational unit; some were based on members from different units, sometimes from different plants and divisions. However, it was decided not to include experts from outside the company. In the case of such resources, they were considered as external strategic interfaces and sources of knowledge. Distribution of knowledge: in some centers the same body of expertise is common to most members, in others there are clear distinctions and expertise is well distributed between the members. In some centers there is a clear top expert who is clearly more knowledgeable than the others in all expertise areas of the center. Challenges Some of the challenges which were addressed by the competence centers were common to all of them (and indeed, are common to other aspects of KM as well). Other challenges were relevant only to a few centers. When you read the following list, you will probably identify interlinks between the listed challenges: 36 • Lack of time – many experts claimed that they are overloaded with their day to day work (either routine processes or fire fighting) and don’t have available time to invest in activities dedicated to knowledge sharing, for example. • Lack of resources –the members of many competence centers pointed out that resources for KM fostering activities such as training courses, participation in conferences and sometimes even investment in information technologies are scarce. • Lack of management attention – members of several competence centers felt that the awareness of their top managers to the criticality of investing in nourishing competence centers is limited. In these cases, management focuses mostly on achieving the operational goals of their units. Real-Life Knowledge Management: Lessons from the Field • Internal competition – as a result of IAI's divisions being profit centers, the internal competition between the businesses units is unavoidable. As a result, barriers for knowledge sharing between experts from different divisions and plants are considerable. In the recent years, the value of “one company” has been promoted and there is some progress in knowledge sharing, e.g. in the case of company wide Communities of Practice. However, internal competition is still a limiting factor to full knowledge sharing. • Aging workforce – like the case of similar organisations in aeronautics and defense, the average age of IAI employees is relatively high. In many competence centers there are no or only one young employee. This poses two challenges: A. continuity of the competences base: what will happen to the knowledge of the experts, when they retire in few years? B. low energy levels in some cases, limited openness to new ideas, and lack of fresh perspectives. • Mind set – in some competence centers we observed minds sets which are not compatible with a knowledge sharing and exploration culture. For example: “each expert needs to know only about his own expertise area. There is no need to organize regular knowledge sharing meeting of experts belonging tour multi disciplinary competence center”. And also: “There is nothing we can learn from the equivalent competence center in plant X. We are far more progressing”. And also: “Our field is mature, there is no technological progress and no need to explore new directions”. • Lack of learning and development opportunities – in some cases, the only real channel to acquire expertise in new technologies is through R&D projects. However, scarce resources for self funded research activities limit the options of some competence centers to prepare for the introduction of new technologies. • Disappearing technology – in the case of one center, the expertise is focused on a technology which will disappear in a few years. The competence center is retained in order to support old products owned by the company customers. Would this lead to the degradation of the center? 37 The Knowledge Management Journey of Israel Aircraft Industry The Implementation Process The paths IAI took to implement the approach of competence centers are described in the following chart: IAI Strategic KM outlined. Center of Competence is one of the modules 2003 IAI KM Handbook created and published, incld. A chapter on competence centers 2004 Approx. 40 competence centers during 2005 2005 (Pilots) Implementation of Competence Center is added to the company PDM measurement system Focused efforts on other modules e.g. CoP IAI chooses to introduce the Competence Center approach during 2005 Each Plant knowledge manager, assisted by the CKO, chooses two pilot competence centers An introductory mini-workshop (three hours) to each competence center Participants: Plant knowledge manager, key/all members of the existing/emerging competence center , sometimes a senior manager, facilitator Content: A. Introduction presentation and conversation: what is a competence center, objectives, roles, players (based on the handbook). B. Co-creation of the center’ s profile, using a template which is completed during the workshop. Template covers the following issues: vRoles –leader and content manager vMission vExpertise areas vMissing expertise (knowledge gaps) vList of experts (and specific expertise areas of each) vInterfaces with customers, strategic knowledge collaborators. vCompetitors (and relative knowledge advantages) vIntellectual property and other information assets vCurrent knowledge processes (learning, sharing, documenting, etc.) vWork plan for next year –practical actions that can progress the competence center vInitial structure of the competence center’ s portal; Output: awareness, profile of the center, draft work-plan Competence center meets several weeks after the workshop with its managers to refine work plan and start initial implementation of the agreed action items 2006 (Full Implementation) Introducing the approach through the workshop to more/all competence centers in each unit of IAI Intensive implementation of the work plan of each center Figure 3: The implementation process 38 Real-Life Knowledge Management: Lessons from the Field The Players We identified six groups of stakeholders and function related to a competence center: The competence center leader –this is the person responsible for the KM related activities of the center, e.g. knowledge sharing, continue learning etc. In some cases it is the group manager, in other cases it is one of the experts who is interested to pursue this challenge. The content manager – this is the person responsible to coordinate the processes of documenting and making available the center’s knowledge. Typically, he or she is also responsible for the center’s portal and other information technologies assets. The EXPERTS –these are the core players. In a typical competence center there are 5-10 experts. While we didn’t use a formal definition, we linked “expertise”with extensive experience, excellent skills in a specific area, hands-on competencies to deliver and a distinct capability to solve problems and support others who seek advice, help, guidance and second opinion. The top manager –this might be the plant or directorate manager, who is expected to support the center by publicly recognizing its importance, approving its work plan, providing resources, highlighting priorities and monitoring performance and progress. The local KM manager – this is the division, plant or directorate knowledge manager, who is expected to support the competence center throughout its lifecycle. External players – internal customers, local customers, members of other competence centers within and outside IAI. Figure 3 outlines a typical constellation of a competence center: Internal and external customers Community of Practice (domain X) Top Manager Competence center: •Leader •Content manager •Experts Other domain X competence centers in IAI in other plants External strategic knowledge collaborators e.g. consultants and academics CKO Competence centers in IAI in complementary domains Figure 4: A typical constellation of a competence center 33 Ways to Nourish a Competence Center In this section we report on many practical activities that can enhance the competencies of the Competence Center and support it in actively “managing its knowledge”. All of these ideas were 39 The Knowledge Management Journey of Israel Aircraft Industry suggested by the center’s members in the competence centers workshops, and some are already implemented. Clearly, some of these ideas are applicable to all centers, and others are relevant only to few of them. In order to Upgrade, enhance, update and deepen the center’s competencies Provide access to others to the center’s expertise and knowledge Develop a new generation Effectively exploit the center’s competencies A competence center can pursue some or all of the following actions proposed in the 38 workshops: Periodical multi disciplinary meetings (experts from different domains) A regular meeting of the center –to share ideas, problems, etc. (e.g. monthly two-hour meetings) Establishing a Community of Practice based on similar competence centers from different units Mapping all IAI experts in the domain, creating “yellow pages” IT Creating a portal for internal and external knowledge sharing Sharing Establishing a national community of Practice Documenting tacit knowledge in “lessons learned”, “problems and solutions”, “rules” and “tips”sheets Locate experts in proximity (one physical space) Analysis and improvement of the unit’s current KM processes Documenting tacit knowledge in handbook Learning & Exploration Participation in the main professionals conferences Visit suppliers of materials, equipment, technologies Analyze failures and successes Publish papers Visit other IAI plants or other companies Membership in professional associations Subscription to the relevant professional magazines Formal certifications to its members Visit customers Rotation of responsibilities between experts Internal marketing and exposure to potential customers (video, Self funded R&D projects brochure, demonstrationto develop competencies meetings and new domains Moe focus on patent registration Enhance availability of It resources (more computers) Formal certifications to its members Actively identify emerging Deepen the theoretical technologies and explore knowledge e.g. academic (visits, internet etc) courses) Internal courses Business intelligence –learn about (potential0 competitors Creating a shared directory in the network Exploitation Internal recruiting new young employees and develop as the next generation Systematic process to train new experts (including personal coaching by a senior expert) Next generation Figure 5: 33 ways to enhance capabilities of a competence center in IAI 40 Real-Life Knowledge Management: Lessons from the Field Results and Business Impacts Key Findings Three years into the program, all divisions of IAI have implemented KM in different degrees. One of the syndromes, preachers of Knowledge Management encounter is the response by proposed practitioners that they have been managing their knowledge (without capitals) all along, though they do not use the term KM. Well, it does make a difference to do it intentionally and methodologically. The framework of the program, the specific procedures in place or even the details of their definition are less important than the process of implementation and it being systematic (Frank, 2001). We have dedicated the first and second years of implementation to lecturing, teaching and even tutoring the details of the procedures using the Knowledge Management handbook, published on the Intranet and with the help of the Knowledge Managers. This has been done at all levels, starting at the management level of the division. This was performed by the company's Director of Knowledge himself together with the local Knowledge Manager who gave the home touch with recognizable examples. It then proceeded to middle management by the Knowledge Managers who, in order to get the attention of their audience at this stage had to be very specific about what needs to be done and what's in it for them and their departments. Finally, it was carried out by the General Managers to the personnel level at periodical communication meetings at which they present their policy and point out subjects to concentrate on. On the second year of implementation we focused on the consciousness of the link between the division's goals and the chosen KM procedures. We did that using the attributes of the Hoshin Kanri method. This is particularly important to get management at all levels buying into the program. It indeed delivered as we had more and more GMs associating with the program and KM procedures better applied to local situations, environment and goals. On this year we also concentrated on the Community of Practice (CoP) procedure. We have defined CoPs in IAI as organizations having a common subject which is of the interest of the company, you volunteer to be part of (but once you do, you are committed to it), and which has goals community participants have voted for (typically goals matching their own needs or the needs of their departments). We have established already over 15 technological communities of practice (dealing with a specific technology that maybe implemented in quite a few divisions), about 5 procedural communities (dealing with a common basic procedure), and another 5 organisational communities (dealing with people from a similar organization in various divisions). The major worry was about the technological communities that required people from different divisions that were competing against each other up to now to cooperate in order to mutually improve their capability. As long as we kept the community at the technological level and didn't venture into the business level, it has worked beautifully, and these communities are now flourishing while the ties between those people that started as technological grew into social ties that sometimes are even stronger. Another myth that was shattered in the process is the famous "knowledge is power" one. Instead of encountering the expected restrain of knowledgeable participants from telling what they know to those in need of that information, we found people eager to tell their story to an audience which was sometimes reticent to admit it needed the knowledge. The new myth therefore created is –"sharing knowledge is power". The third year of implementation was chosen to be the year in which we would start concentrating on the fostering of our technological competence centers, as was described in the previous chapter. During this year we worked with some 40 centers, and we plan to triple this number on the fourth year. 41 The Knowledge Management Journey of Israel Aircraft Industry Business Impacts on IAI The world is changing, and organizations can’t stop the world from changing. The best they can do is to adapt - the smart ones change before they have to; the lucky ones manage to scramble and adjust when pushed; the rest are losers - they become history. In the final analysis, the customer determines the winners from the losers. IAI is learning to become a learning organization, one that is better prepared for a changing world and Knowledge Management is leading this effort. This is true for process knowledge as well as for design already invested in and retrieved for reuse. A major part of this knowledge refers to defined and documented processes in the various competence centres of the company (some of them technological while others are procedural). The rest remains in the generalized term of tacit knowledge which refers to the experience of the company's people, in their head and memory or at the tip of their fingers. The Capability Maturity Model Integrated (CMMISM) deals with the ways an organization has to follow, in order to maintain well mapped processes, having well defined stages, because of the assumption that in mature organizations, it is possible to measure and relate between the quality of the process and the quality of the product. IAI is trying nowadays to qualify for the CMMISM highest level possible (at least one of our divisions is already qualified for level 3 while quite a few are already at level 2). CMMISM enables you to assess your organizational maturity and process area capability. It identifies priorities for improvement, and provides guidance on the implementation of these improvements. On the other hand, applying KM can bring enormous tangible and intangible benefits. These two area studies have different scope but similar methodologies such as maturity models and the evolvement through the processes. Interestingly, in the recent studies, one has taken effects on the other. We can see CMMISM levels and models applied to some KM models, and KM techniques applied to CMMISM activities. No matter how they affect each other, it is believed that the debates and learning from each other should improve them both. Further, to learn from both of the two studies can obtain the knowledge and clear concept of the operation of the organization as well as problem solving capability. When Knowledge Management is used with the Capability Maturity Model Integrated, the organization becomes more efficient and effective in the development of the projects they are used on (Dayan, 2006). Divisions which are choosing business result measures, are actually taking upon themselves to adapt their Knowledge Management activity to the level needed in order to reach the goal prescribed in their PDM since the beginning of the planning year. This is only starting to happen and is a sign, people at IAI are only now beginning to consider KM as an enabler for extracting the maximum of the potential they, their departments, and their divisions have. Impact on Other Organisations The authors believe that this case is a valuable source of ideas especially for large and complex organisations such as automotive or aeronautical industries. Such companies can learn from four aspects of the case: 1. How a large corporation can deploy the values, policy and practices of Knowledge Management throughout the organisation. This is a non trivial task and some of the methods used by IAI can be useful in other cases. 2. How to link a KM program to large company wide change program such as lean manufacturing. In this respect, how to integrate the measurement of KM related challenges and performance with a general performance measurement system. 3. How to define and support competence centers in a systematic way. 42 Real-Life Knowledge Management: Lessons from the Field Conclusions The IAI knowledge management project can be declared as a successful project. It is still continuing to evolve and has created an organizational effect in the past 4 years. Factors that contributed to the success: • Most importantly the top management’s support of knowledge management issues, and it’s willingness to allocate resources for this purpose. • Building the knowledge management program in a way that enables it to fit with the main macro change plan that the company is assimilating, so that the two programs support and strengthen one another instead of competing with each other. • Planning and establishing the knowledge management program so that it corresponds with the company's existing culture. Being an organization run and dominated mostly by engineers, the IAI culture appreciated a plan that would be very structured, very defined, and included precise objectives, and comprehensive measurements. • Using a multi-disciplinary team of consultants, brought different perspectives and capabilities into the teamwork, while collaborating among themselves and with the client. • Having a "fanatically dedicated", full time knowledge manager, who is totally committed to the mission was a strong in-house force that set the program in motion. Moreover, the fact that the knowledge manager appointed, was from the R&D unit, a strong influential unit, also contributing to the success of the project. • Establishing an organizational structure for the knowledge management plan that included part time knowledge managers in every unit of the company, creating a strong organizational distribution of commitment and responsibility for the issue. • Developing the "knowledge management user guide" that communicates the values, tools and measures of the plan to the knowledge managers of the various units, and is kept updated. • Creating a strategic plan which covers almost every critical aspect of the company. But at the same time, introducing the plan in a stepwise mode, each year adding two or three additional “modules”. • Focusing on "competence centers" and "communities of practice" while each one established gets a "kickoff" workshop that enables it to succeed. 43 The Knowledge Management Journey of Israel Aircraft Industry Practical Tips and Key Lessons: • Integrate the KM program with other change programs, which are introduced to the company rather then managing it as a stand alone initiative. • Continuously stay linked with the operational and business measures of the division. • Start with the core business processes of the company. • Create a comprehensive plan, but then implement it gradually, introducing every year a few new components of the big plan. Don’ t try to address all challenges in one go. • Balance cleverly between corporate central efforts and local initiatives in order to maximize impact at the local level but at the same time enable knowledge sharing across the company. • Balance cleverly between pre-defined procedures and initiatives, which evolve without preplanning. • Appoint a KM manager (or “ ambassador” , or “ CKO”or “ champion”etc) in each important unit – to ensure good deployment of policies and practices. Support these people and help them create an internal network. Acknowledgements We would like to acknowledge the courageous person in each division, plant and department who lead the local KM initiative – their commitment, efforts and creativity in implementing the KM program are critical to the company's success and are well appreciated. They face successfully considerable challenges. Thank you! References Dayan, R. (2003). KM and culture change at Israel Aircraft Industries. The Knowledge Management Review, 6,(2), 12-15. Dayan, R. & Evans, S. (2006). KM your way to CMMI. Journal of Knowledge Management, 10 (1), 69-80. Ulrich, F.(2001) Knowledge Management Systems: Essential Requirements and Generic Design Patterns. Proceedings of the International Symposium on Information Systems and Engineering, ISE Las Vegas, 114-121. Yoshio, K.(1998). Hoshin kanri - a participative way of quality management in Japan. The TQM Magazine, 10,(6), 425-431. Palmer, A. (2004). The concept of right first time design. PhD dissertation, Cranfield. 44 Real-Life Knowledge Management: Lessons from the Field Authors’Biographies Rony Dayan is a retired Lt. Colonel of the Israeli Air Force, with industrial experience as deputy GM of MBT, one of the Israel Aircraft Industries successful divisions (http://www.iai.co.il). Before that, he was the corporate marketing representative in South East Asia where he received the IAI President Marketing Award for outstanding performance. Rony has been leading the effort to incorporate Knowledge Management in the company’ s set of actions for the implementation of a comprehensive change program (for further information on the IAI KM program please click here). The program is being implemented now across the five groups and twenty divisions of this 2B$ Aerospace & Defense company. (http://www.iai.co.il/site/en/iai.asp?pi=15166&doc_id=21797). Rony has also given courses in Business & High-Tech Marketing and is preparing a course in Industrial application of Knowledge Management for the School of Business Administration at the Israeli College of Management. He holds an Engineering degree from the Technion in Haifa, Israel, and a Masters Degree, both in Electronics, from the US Air Force Institute of Technology at Wright Patterson AFB, in Dayton, Ohio, USA. Rony has been presenting the subject of knowledge management in international conferences along the last three years, and has published two articles on relevant issues. Rony Dayan’ s research interests are in the field of Knowledge Management and of measuring its performance and impact in a large corporation; he is also now studying for a PhD at Cranfield University in the UK on this subject. Dr. Edna Pasher founded an international strategic management consulting firm in 1978. The firm provides customized consulting services to organizations both in the private and the public sectors. Edna Pasher Ph.D & Associates specialize in assisting their client organizations to speed up strategic renewal in a fast changing environment. In 1994 Edna identified knowledge management as the critical success factor for organizational renewal and has become the pioneer and leader of the knowledge management movement in Israel and an active participant in the international community of the KM Pioneers. Edna's company is also a leader in the area of Intellectual Capital management, and created one of the first national IC reports. Edna earned her Ph.D at New York University in Communication Arts and Sciences and has served as faculty member at Adelphi University, the City University of New York, the Hebrew University in Jerusalem and the Tel-Aviv University. Dr. Ron Dvir obtained a PhD. in Intellectual Capital from Cranfield University, studied Industrial Engineering at the Technion - Israel Institute of Technology and received Ms.C. In Computer Integrated Manufacturing at Cranfield University, UK. In 1987 He joined Programma, a logistics consultancy firm, to design advanced material handling systems. In the early 90's, Ron worked for ECI Telecom in the area of Total Quality Management. In 1996 he became the first Chief Knowledge officer (CKO) in Israel. In 1999 Ron has founded Innovation Ecology which focuses on the creation of innovation enabling environments such as Future Centers and Innovation engines. He is the author of several professional and academic papers, and co-editor of the book "From Knowledge to Value- Unfolding the Innovation Cube" and the book “Are you Ready to Disrupt It- an illustrated guide to Disruptive Innovation”. 45 3 Communities of Practice –A Case Study from the Automotive Industry Patricia Wolf Abdul Samad (Sami) Kazi Real-Life Knowledge Management: Lessons from the Field Communities of Practice – A Case Study from the Automotive Industry Dr. Patricia Wolf, Hochschule für Wirtschaft (HSW) Luzern, Switzerland (pwolf@hsw.fhz.ch) Dr. Abdul Samad (Sami) Kazi, VTT – Technical Research Centre of Finland (Sami.Kazi@vtt.fi) Abstract Traditional vertical organisational structures can be an impediment to the sharing and co-creation of knowledge across functional units. This was realised by a large automotive firm when upon its merger with another automotive firm, it observed the power of cross-functional linkages across different car platform divisions. A project was set-in motion to harness over one hundred communities of practice (CoPs) across the functional units of the merged organisation. This case study provides an overview of the conception, implementation, and optimisation of the project. It provides reflections and key lessons learned on how cross-functional CoPs can be developed, nurtured, sustained, and as to what radical changes they may bring into existing organisational decision making processes. Keywords: Communities of practice, knowledge management, automotive industry, crossfunctional CoPs. Background Industrial Context During the late 1980s, a large number of firms in the automotive sector made a paradigm shift in terms of their organisational and operational structures. They essentially moved from being organised around a traditional divisional structure to being organised around car platforms. This allowed for dramatic cuts in the product development cycle time, and significant reductions in R&D expenditures (per platform level). However, while being organised around car platforms, despite achieving product focus, their where no mechanisms to facilitate proper learning and sharing of experiences across the platforms. In short, many firms lost their ability to learn from their own experiences. Many firms later recognised that platform level focus made sense; there was a need to introduce mechanisms that would allow for experience sharing across these platforms as well. When in the late 1990s, Knowledge Management started to hit the front page of different management journals, these firms realised that unless there where means for tap-in-to and learn from their own respective experiences, they stood to lose market share and competitive advantage. While still being organised around car platforms, communities of practice (CoPs) seemed a viable solution and instrument to stimulate cross functional communication and learning across the car platforms. 49 Communities of Practice –A Case Study from the Automotive Industry Problem After a merger of two automotive firms, it was time to learn from each others’experience in an attempt to streamline processes, build-upon each others’competencies, etc. During this exploration process, the German counterpart in the merger was impressed with the knowledge management structure of the American counterpart. The American counterpart made use of a vertical functional hierarchy (organised on the basis of product model ranges / car platforms) and made use of horizontal communities of practice to support knowledge sharing and capture across the model ranges. Furthermore, a searchable know-how database existed to support documentation of key experiences and lessons learned (see Figure 1). The German counterpart observed that such crossfunctional communication could potentially help resolve its problem of lack of knowledge and experience sharing across its product platforms. Furthermore, such an approach could also be used to allow for cross-functional learning across the “merged”organisation. Know-How Database Figure 1: Cross-functional CoPs and know-how database A project team was created and assigned the task to implement a know-how database and crossfunctional CoPs that would reach across all model ranges for the entire ”merged” organisation within two years. The project team was made-up of five employees from the organisation and two doctoral students. It is supported by a so-called coordinating team which is composed of fifteen employees of the concerned model ranges. This structure aims to provide for an optimal communication between the project team and the model ranges and also ensures that everyone stays updated: as the members of the coordinating team are themselves integrated in the work of the model ranges, they are to promptly report to the project which problems and topics bother the members of the model ranges. After a business segment analysis of its product range, management decided to implement approximately one hundred CoPs in twelve product and process relevant subject areas (see Figure 2). 50 Real-Life Knowledge Management: Lessons from the Field 1 2 3 4 5 Technology Field 1: Passenger Car Elements Technology Field 2: Passenger Car Elements Technology Field 3: Passenger Car Elements Technology Field 4: Passenger Car Elements Technology Field 5: Passenger Car Elements Functional units Technology Field 6: Passenger Car Elements Technology fields Technology Field 7: Passenger Car Elements Technology Field 8: Passenger Car Elements Technology Field 9: Passenger Car Elements Technology Field 10: Processes Technology Field 11: Processes Technology Field 12: Processes Figure 2: CoP structure Early on, a serious problem emerges: there is no provision for cost and time compensation to the functional units whose employees take part in the CoPs. A key question emerges in that, how can functional management be convinced that it would be beneficial to release employees for their work in the CoP(s)? The situation is further aggravated by the absence of a formal collaboration mechanism between the CoPs (seen basically as a service provider) and the divisions / functional units. In short, the CoPs project team has fundamentally no control authority (see Figure 3). Management Reporting Reporting Decision Decision No formal Divisions/ Functional units collaboration Service Provider (CoP Project Team) Figure 3: Service triangle The service triangle (see Figure 3) implicates the following decision-making situation: the service provider is instructed by the management to implement a process innovation without necessarily having obtained permission from the respective divisions/functional units. The service provider may operate on behalf of management, but whenever problems with the implementation of a measure 51 Communities of Practice –A Case Study from the Automotive Industry occur (e.g. in the form of conflicts with the divisions/functional units), it has to apply to the management for support. The implementation of measures can be achieved either informally, which means that the members of the project team convince the divisional unit directors, or through management’s top-down order. The problem persists until the end of the project. Initially, it is mitigated by top management which instructs reluctant functional managers to release the required employees for the work of the CoP. Moreover, a working structure for the CoPs is developed that copies the existing hierarchical structure: so-called executive CoPs, to which members of the functional management are assigned, to guide and monitor the work of the so-called engineering CoPs. This allows at least for a partial integration of the higher decision-makers. In actual fact, the problem is solved by the members of the CoPs. Despite some continuing dissention with their immediate functional supervisors they participated in the CoPs and thus enabled product model range-spanning cooperation. Learning Objectives: Through this case study, it is expected that the reader will: • Learn the dynamics of and need for communities of practice that span across organisational divisions and functional units. • Explore key steps in the design of cross-functional CoPs. • Learn how numerous CoPs can be concurrently implemented and then optimised. • Dealing with conflict within CoPs. • Different managerial and organisational implications of implementing crossfunctional CoPs Approach The focus of this case study is on the introduction of cross-functional CoPs within a large (merged) automotive firm. It is presented from both a practical and scientific perspective. From a practical perspective, the focus is on the conception and introduction of different performance measurement instruments. From a scientific perspective, the focus was on evaluation and determination of the opportunities and limitations of performance measurement of knowledge management within complex social systems. Participatory observation was used as a main approach for studying and analysing the problem at hand (refer to earlier sections on industrial context and problem). A broad range of both qualitative and quantitative evaluation instruments were used over a two year evaluation process during the CoP implementation project. The evaluation phases cover, conception, implementation, improvement, and reflection (see Figure 4). 52 Real-Life Knowledge Management: Lessons from the Field Phases of the Evaluation process Conc- Implemeneption tation Reflection Observation and Self-Observation q u a l i t a t i v e Evaluation type Improvement RWS* RWS* RWS* RWS* RWS* Group discussion with NonKM-Actors Review in the CoPs Reflection Documentation of success stories q u a n i t a t i v e Employee Survey CL** CL** CL** CL** Evaluation of the database: Hits, number of articles, feedback * Reflection- Workshops ** Checklist Figure 4: Evaluation framework and phases The quantitative measures used were those that were designed by the organisation itself, whereas the qualitative ones were designed during the project. A major objective was to better understand the overall working structure, decision making norms and communications patterns in the organisation and designed CoPs. This is reflected through the long learning and reflection phase of the evaluation framework (see Figure 4). Case Analysis Conceptual design The project and coordination team starts its work with commitment. The CoP structure and the next steps are planned in-depth and approximately four months after the placing of the project assignment the project schedule as well as the implementation measures are established. The implementation of communities of practice starts with an attempt to convince functional managers as well as potential CoP coordinators of the concept. The CoP coordinator plays a decisive role as he ought to align and moderate the work of the CoP. Thus, he acts as a moderator and gives structure to the work of the CoP, but he does not act as a supervisor because he has no formal authority towards each individual group member. The coordinators of the engineering CoPs are chosen by the members of the coordinating team in cooperation with the heads of the model ranges. The persons chosen as CoP members have to meet the following conditions: • They are considered as experts in the respective topic. 53 Communities of Practice –A Case Study from the Automotive Industry • • They have experience in the leadership of a team or division. They are considered to be open-minded towards changes and have been involved with former change projects. Furthermore, it is the responsibility of the CoP coordinators to find more CoP members and to excite them for collaboration in the CoPs. Supported by the project team, the build-up of the CoPs is managed efficiently and quickly. Implementation A first version of the database gets established and tested. Kick off events and training courses for CoP members concerning their roles in the new work structure and the handling of the database take place. These activities prove to be of fundamental importance for the project’s success. On the one hand, the project team gets the opportunity to present and explain the concept to future CoP members and to answer their questions. On the other hand, the CoP members become acquainted with each other and thus get the chance to exchange views, ideas and experiences. The trainings for the handling of the database have an additional effect: the future authors loose possible compunctions concerning the handling of the new technology or the writing of documents that will be accessible for other organisational members through the database. By now there exist about 90 CoPs that first sift through the guidelines of the several model ranges. Glossaries are written in order to ensure a consistent comprehension of essential terms in the subject area of the CoPs. The CoP members give presentations about the work in their divisions; problems are listed and prioritised for discussions. The database fills up. Unfortunately, the existence of CoPs alone is not a sufficient indicator of success for management. The management therefore approaches the project team and asks for a performance measurement by means of a checklist. Quarterly, statistic data such as the frequency of meetings, the attendance of the CoP members and the number of placed and planned contributions for the database are to be collected through this checklist. These performance indicators are simultaneously used to make requirements: one year after project start, each Cop is expected to have placed three sections in the database and to have conducted three meetings at which at least 80% of the members participated. The CoP coordinators are very indignant about this concept. On the one hand, they argue, the indicators allow no conclusion concerning the quality of the achieved work. On the other hand, the form of control is counter-productive as it steals time that the CoP members would rather prefer to spend on textual topics. A form for the documentation of success stories, which complemented the project checklist, gets ignored. Without success, the project team reports the objections of the CoP members to the management. The checklist is completed and analysed. The unsurprising results are: Three meetings each quarter for each CoP with an average attendance of 80% of the members and three contributions for the database. If necessary, one large chapter was divided into three smaller ones in order to meet the requirements. The management is satisfied and requires a double number of chapters for the next six months. After one year, the implementation of CoPs can be regarded as completed. To celebrate this success adequately, a big event for interested members of the division is planned and carried out. The division manager appears at this event and praises the performances of all parties. In the reflection workshops that were conducted by the CoP coordinators of the project every six months, the spirit is ambivalent. On the one hand it is acknowledged that the information and knowledge platforms that were created where crucial questions that reached across model ranges and were discussed openly and constructively. Here lies most of the benefit of the new work structure according to the coordinators. On the other hand the coordinators complain anew about the problem that evolves from double membership in the CoPs and the functional organisation as well as the missing 54 Real-Life Knowledge Management: Lessons from the Field budgeting of the CoP’s work. At the same time they demand from the project a clarification of the questions: which competences the communities of practice have within the overall organisation; are they authorised to make decisions for topics that reach across model ranges? Without decisionmaking competence-based trans-sectoral work does not make very much sense because the developed solutions are not considered as binding for all model ranges. Therewith, the synergy effects whose creation is one of the CoPs’special strengths would not apply. Even more so, the motivation for cooperation gets lost. Optimisation After the introductory phase of the project, the optimisation of the new working structure begins. In order to get insights into the current state of the CoP work, its problems, chances and risks, the project and coordinating team plan a complex audit: on the basis of a structured questionnaire that focuses on nine core areas of the CoP work, two hour interviews are conducted in the now nearly 100 CoPs. Previous to the audit at least one meeting is initiated to get an idea of the activities of the respective CoP. Thus, the monitoring part alone comprises 100 times four hours. A giant project that lasts four months including the analysis, it reveals important results: it becomes clear that the CoP work “works”, i.e. the CoP members are dedicated and enthusiastic. Moreover, a new relationship between project and CoP members develops. The latter perceive the audit as a sensible and supporting counsel because it does not only aim at the recording of problems and risks of the new working structure but explicitly allows for the presentation of strengths of the CoP work. Therewith the project expresses its appreciation of the achieved work and the CoP members feel motivated. The project advances from a bogeyman that is held responsible for unpopular orders of the management to a counselling unit that attempts to understand the challenges of the CoP work and represents the CoP members’interests towards the management. In the audit dialogues a common intention of the project team and the CoP members becomes apparent: both want to make sure that a supporting team for the functional tasks is available for the CoPs even after the project’s end in about six months time and that management’s attention remains. Therefore it is time to collect arguments that make the benefit of the CoP clear for management. In the aftermath, the so far ignored form for the collection of success stories starts to enjoy great popularity. The database gets diligently filled as well, so that the goals that were given by the management can be adhered to. The CoPs conduct self-marketing and the project team becomes a mediator who forwards the success messages. These are as follows: • The CoP work promotes the exchange between the divisions and allows for substantive cost and time savings through ensuring a fast access of existing knowledge sources and through avoiding the duplication of work. Structured and effective coordinating processes between the model ranges become possible. • The standardisation of problem solving across model ranges, the usage of the knowledge database as the central storage medium and the development of a consistent language use all contribute to shorter development processes. • The business area is able to optimise its supplier and customer relations due to a consistent appearance. • The personal interconnectedness of CoP members in their field of activity improves: a measurable saving of time exists due to the generated transparency of contact persons, the CoP work fosters the establishment of personal contacts among one another, the CoP members get an insight into the activities and goals of other divisions and areas, and a feeling of group membership emerges. 55 Communities of Practice –A Case Study from the Automotive Industry For one year, the quantitative value that the CoP members declare on the form for success stories amounts to a two-digit million Euro sum and more than 100 man-days of capacity savings. End of the project The active marketing of the effects of the CoP work yields fruits: the management is now convinced of their value and does not want to loose the CoPs as working panels. Therefore they obtain the official authorisation to issue guidelines that reach across the model ranges. This improvement changes the communication and decision processes within the organisation. Suddenly a horizontal cross-functional structure (see Figure 2) exists that is in a position to make decisions which concern the model ranges and to assert them against the vertical hierarchy, i.e. the functional management. Nevertheless, upper management reserves the right to veto any decision. Anyway, the change is radical: everyone who is not a member of the respective community of practice will not be able to realise his or her views in future guidelines. This does not solve the problem of the missing budgeting of the CoP work, but it leads to a new and very important motivation for the CoP members. Moreover the management can be convinced of the CoPs need for support even after the project ends. The project team will be transformed into a department that is to perform this supportive work and to enhance further knowledge management topics. At the end of the project the optimistic conclusion is follows: the company succeeded in establishing the cooperation across model ranges, which was introduced one year ago, as a routine process that helps to generalize and standardise knowledge. The stability of the new working structure is ensured by the authority of the CoPs which is limited to areas of expert knowledge that reach across model ranges. From now on it is defined in the CoPs what knowledge applies for all the model ranges together and which solutions are to be applied for which problems. The database is the instrument that makes the solutions which are defined in the CoPs visible and binding in the business unit. Thus the company succeeded to realise what is the main goal of knowledge management in theory: to gain influence on existing communication and decision making structures across the functional units of an organisation. Results and Business Impacts Key Findings The description of the case study has made it clear: CoPs do not only create value, their implementation can lead to a massive change of the organisational decision structure due to new communication and decision process structures being co-created. In design and function, crossfunctional CoPs correspond to horizontal expert networks in an organisation with a vertical hierarchy. With this “the community approach is directed to the creation of those social contexts and processes, that are to enable the actual content experts of a certain topic to solve problems collectively”(Hilse, 2000). CoPs are uncommon interfaces in a sense that they were not envisaged as communication or decision positions in old vertical organisational structures. Now, groups whose work is difficult to control form at these interfaces. Of course an effort is always made to manage the work of a CoP rationally, but more than one example exists of organisational CoPs whose members left the formal CoP scenery due to the management’s massive control and unreasonable work and turned to the organisational ‘underground’. CoPs are partially able to solve the problem of knowledge property in organisations. They allow certain knowledge to be managed and enhanced by those employees who possess and use it. The 56 Real-Life Knowledge Management: Lessons from the Field employees need no longer divulge their knowledge to an unpredictable organisation. Instead it remains the property of the CoP and is managed through the common context of its members. This way, the employees themselves become responsible for the solution of their problems (Snyder and Wenger, 1999). The knowledge owner regains autonomy: knowledge is shared with peers outside typical organisational control mechanisms. The same atmosphere that is created though the CoPs simultaneously increases opportunities for innovations: in groups of like-minded people where comments need not occur according to organisational political specifications, employees are more willing to ask sensitive questions and to discuss ideas. With respect to the CoP members themselves, databases allow for an internal evaluation of the commitment of its members. Somebody who only consumes receives no reputation within the CoP and will soon be deprived of his or her membership. Moreover, the introduction of the database supports the CoPs because it provides a common workspace where CoP members can store, organise and download documents that contain the developed problem solving techniques (also called ‘best practice’). Meta data files allow to identify the author of the document, i.e. the context of the creation of the document can be retrieved. From the perspective of the organisation, the described databases represent a location where the employees’knowledge can be ‘stored’. On the one hand, the build up of a common knowledge database helps to make the standard of knowledge explicit that was commonly acquired by the CoP. Its visualisation reveals which knowledge the group of experts considers appropriate for building the basis for decision-making in the respective subject area. Thus, the experience database provides a knowledge pool to which a decision maker ought to revert for a certain topic. However, he or she is not denied the possibility to decline this knowledge or to access other knowledge sources at the same time and thus generate new knowledge. This way, the possibility that solutions which were developed in the CoP are refused is alleviated. On the other hand, the credibility and value of information on the level of the organisation increases: if a person shares his or her answer to a question with everybody, one expects him to know the answer for sure (Lessner and Stork, 2001). Therefore, entries also serve to build up reputation within the organisation: databases make the name of employees known and improve their profile. Business Impacts The results that the organisation described achieved from the implementation of their crossfunctional CoPs are the following (Wolf, 2003): • Coordination and dissolving of horizontal or cross-departmental problems, • Conservation and systematic dissemination of knowledge between ‘generations of employees’, • Avoidance of duplication (e.g. through the combination of tasks), • Shorter development cycles (e.g. through synergy effects), • Saving of time (e.g. due to more transparency concerning contacts), • Continuous build up of knowledge in areas that are crucial for competitiveness, • Transformation of new ideas and technological developments into innovations, • Consistent appearance and action towards suppliers and customers, • Promotion of further training for employees (e.g. through insights into other divisions). 57 Communities of Practice –A Case Study from the Automotive Industry Conclusions It seems to be obvious that CoPs are a KM instrument that can be used for solving problems related to a lack of communication between different car platforms within a big automotive company. But the implementation of CoPs is not an easy task. What makes CoPs such a special kind of group? As far as it is by now observed, the processes of group forming in CoPs do not differ from prevailing phase models of grouping. According to Tuckman (1965), a formation, conflict, standardisation and working phase exist and they are all integrated in an iterative process of self-renewal. Generally, four areas exist where CoPs differ from other organisational groups such as divisions and teams (Lessner & Storck, 2001) – to simplify matters, these other groups are jointly summarised under the term working groups: 58 • Relationships within a working group develop around the tasks that are dealt with for the organisation. This means that the members of a working group can neither determine who belongs to their group, nor with whom they wish to interact for a respective topic. Formal processes of task performance restrain free interaction. Moreover, the members of a working group may generally have different competences and areas of interest. • In CoPs, the relationships develop around a common practice or area of interest. People become members of an organisational CoP due to their interest in a certain knowledge area. The rules for interaction as well as the topics that are to be worked on are defined by the CoP itself and thus determine the formation of relations amongst the members. Generally an unconfined build-up of ties within the group is possible, unless the CoP itself defines restrictions for interaction through the appointment of roles. • Authoritative relationships in working groups are set by the organisation through defining one member as authorised to issue directives. In CoPs however, authority develops during the process of interaction and is determined through expert knowledge. Working groups and CoPs do however have one point in common: the leadership function relieves the group. But while this function leads to the sole power of decision in working groups, CoPs tolerate leadership only in terms of moderation. In the portrayed case study, the CoP coordinators were responsible for the organisation of the CoP meetings and the coordination of the topics. However, these topics were defined and prioritised by the whole CoP. Thus, the demands towards managers in CoPs change dramatically compared to those in working groups: a CoP coordinator has to possess a comprehensive professional competence in the area of knowledge that the CoP works on and he/she also needs to be well experienced in the coordination and organisation of group activities. At the same time the coordinator needs to be modest enough not to make demands regarding leadership or decision making, despite the extra work that he/she performs for the CoP. • The goals of working groups are typically defined by persons (such as management) that are not members of the group. CoP goals, in contrast, are goals of the CoP members. The goals of working groups are very specific and their fulfilment is relatively easy to measure –one example would be the production of a number of products within a certain time and quality. In most cases, CoP goals can only be specified in such a way as ‘finding of a common solution for the problem X’. The described case study should make it clear that there is no use in setting specific goals for CoPs: the portrayed CoPs have achieved the goal of a certain number of articles in the database; however the aim was “complied with”by partly dividing existing chapters. • While working and report processes for working groups are provided by the organisation, CoPs can define them themselves. CoPs are only accountable towards their own members. In the described case study, the management insisted on receiving performance results of the CoP work. The management got these results not because the CoP members regarded this Real-Life Knowledge Management: Lessons from the Field request as legitimate, but as a trade-off for the given support towards sustaining the CoPs. Insofar one could rather speak of self-marketing than of providing accountability. So in fact, the CoP members accepted evaluation instruments from which they profited themselves. For example, the audits provided a mechanism for self evaluation and reorientation, and collecting success stories that enabled the CoP members to get an insight in the value of their work. In this respect, the instruments of performance measurement contributed to the CoPs’cultivation of identity and advancement. What appears altogether as a trait for CoPs is a growing individualisation of team working. Even though the common interest for a certain area of knowledge is the identity forming element of CoPs, it remains nevertheless the choice of its members to decide in which subtopics they want to play an active part. The forming of subgroups was often observed in the case study. Furthermore, CoP members can have this status in several CoPs. So the definition of a group as a strictly closed community with steadily defined roles, tasks and topics changes as soon as interest comes into play. This becomes especially evident for virtual CoPs: in this case it is no more necessary to be collectively present in order to be member of a group. 59 Communities of Practice –A Case Study from the Automotive Industry Practical Tips and Key Lessons: Here are the seven most important practical tips and lessons learned from this case study: • Be aware that CoPs are able to change the structure of your organisation. Managers who start a CoP implementation project need to be ready to accept and support this effect even if this means that they have to give away a part of their power and lose control mechanisms. • CoPs need continuous management attention and sponsors within the organisation. The work of the CoP members needs to be valued. • There are a number of simple structural mechanisms that make the build up of CoPs within an organisation easier (for example, the CoP structure should rebuild the organisational structure as in the case study which was done by a differentiation between Executive CoPs and Engineering CoPs. This allowed the integration of middle and upper management into the CoP work). In addition, roles and competencies have to be defined clearly from the very beginning in order to avoid conflicts. • Communication is the key for sense making: Continuous and transparent communication of the objectives and achievements of the CoPs creates a common understanding within the organisation about the value of the change. Use all communication channels available, e.g. regular newsletters, trainings, information events. • The implementation of CoPs is a process that can lead to conflicts. Thus it is favourable to have a mediator who is responsible for the progress of the implementation process (this mediator can be a project team as described in the case study). The mediator (team) needs to get incentives for taking over this often difficult role –for example by highlighting its responsibility for the implementation process and its successes. • The implementation process of CoPs needs to be monitored and evaluated. Starting this process is an important task for management as evaluation results facilitate reflection and enable the actors of the process innovation to understand what has been achieved and to develop a common language for the communication about the project results. But: Managers should be careful with the selection of the indicators they would like to use within the evaluation. Measurement criterions have to be agreed with the CoP members in advance to avoid organisational paradoxes. • The work in CoPs requires a budget, be it a defined time frame, meeting rooms for free or real financing. This investment helps to minimise the risks of conflicts between the ‘ old hierarchy’and the new CoP working structure. References Hilse, Heiko. (1999). Kognitive Wende in Management und Beratung. Wiesbaden: Deutscher Universitäts-Verlag. Lesser, Eric & Storck, John. (2001). Communities of Practice and organisational performance. IBM Systems Journal, Vol. 40, No. 4, 831-840. Palass, Brigitte. (1997). Der Schatz in den Köpfen. manager magazin, 12, pp. 112- 121. 60 Real-Life Knowledge Management: Lessons from the Field Probst, Gilbert, Raub, Stefan, Romhart, Kai. (1998). Wissen managen. Wie Unternehmen ihre wertvollste Ressource optimal nutzen. 2. Auflage. Wiesbaden: Betriebswirtschaftlicher Verlag Dr. Th. Gabler GmbH. Snyder, William & Wenger, Etienne. (1999). Communities of Practice. Lessons learned from Auburn Hills. Stuttgart: DaimlerChrysler Corporate University. Tuckmann, Bruce. (1965). Development sequence in small groups. Psychological Bulletin, 63, 384399. Wolf, Patricia. (2004). Eine Geschichte Organisationsentwicklung, 2, pp. 10-19. über Communities. Zeitschrift für Wolf, Patricia. (2003). Erfolgsmessung der Einführung von Wissensmanagement. Münster: Verlagshaus Monsenstein und Vannerdat. Authors’Biographies Dr. Patricia Wolf obtained her PhD in Business Administration in 2003 at the University of Witten-Herdecke (Germany). Whilst writing her doctor thesis on ‘ Success Measurement of Communities of Practice’ , she worked from 2000 till 2002 on a Knowledge Management Implementation Project at the DaimlerChrysler Passenger Car Development. Currently, Patricia is working as lecturer, researcher and consultant at the Hochschule für Wirtschaft (HSW) Luzern in Switzerland. In the meantime, she writes her habilitation on a European- Russian collaboration project at the ETH Zürich, Switzerland. Her research interests include Communities of Practice and the transferability of management concepts between different cultures. Prior to this, Patricia worked for three years as Researcher and Consultant at the Institute of Human Factors and Technology Management at the University of Stuttgart (Germany) where she worked on numerous consulting and research projects in the areas of Knowledge Management and Innovation Management. Patricia is leading the Zone ‘ Knowledge Management in Central Eastern Europe’at KnowledgeBoard. Dr. Abdul Samad (Sami) Kazi, senior research scientist at VTT, the Technical Research Centre of Finland is a Civil Engineer by profession, and Construction Manager by area of specialisation. Sami has conducted research in several areas including: project planning and control, computer based training, construction management, knowledge management, system dynamics, construction IT, information modelling, product and process modelling, cost planning and control, Internet based technologies, groupware tools and technologies, mobile communications, information modelling, mind mapping, concurrent engineering, virtual enterprises, organisational learning and assessment. Sami has edited several books in the areas of ICT for construction projects and processes, knowledge management, systemic innovation in construction projects, etc. He is listed in the Marquis Who’ s Who in Science and Engineering, is a fellow of the Entovation E100 Global Knowledge Leadership network, and is content steward at KnowledgeBoard. 61 4 Sharing through Social Interaction: The Case of YIT Construction Ltd Abdul Samad (Sami) Kazi Anssi Koivuniemi Real-Life Knowledge Management: Lessons from the Field Sharing through Social Interaction: The Case of YIT Construction Ltd. Dr. Abdul Samad (Sami) Kazi, VTT-Technical Research Centre of Finland (Sami.Kazi@vtt.fi) Anssi Koivuniemi, YIT Construction Ltd. (Anssi.Koivuniemi@yit.fi) Abstract The construction industry is a project based one with each project being the production or provision of a one-of-a-kind product or service. Each day on a typical construction site brings forth a new problem for which where possible, a new solution is devised on the site. This is rarely, if at all documented. In simple terms, valuable knowledge and experience gained is lost. What remains is stored in the minds of those who were a part of the problem and the solution. Knowledge is created, captured, and shared within a particular context. This is as agreed by most authors more of a social than technical process. This case study presents the findings from the PromoBat project that was initiated at YIT Construction Ltd. in Finland to provide a framework and basis for the capture of new good and bad practices through a set of social processes. Some of the social processes developed, site visits, cross-auditing, and horizontal quality and process teams are presented. The findings indicate that such social process serve as an effective lever for the capture, sharing, and dissemination of valuable experience and knowledge. A set of critical “intervention points” were identified where such interaction (social processes) would be triggered. Recent experience reveals that social processes form an effective means for the capture of experience and knowledge in project based businesses such as construction. Keywords: Social processes, construction industry, knowledge sharing, intervention points Background Domain Context: Knowledge Management Under the subject of the subject of knowledge management, there is near mutual consensus that two forms exist, i.e. tacit knowledge and explicit knowledge (Nonaka and Takeuchi, 1995, Awad and Ghaziri, 2003, Kazi et al. 2001, Davenport and Prusak, 2000). Here, tacit knowledge is seen as that knowledge which is “personal, context-specific, and therefore hard to formalize and communicate” (Nonaka and Takeuchi, 1995). Whereas, “explicit knowledge is codified and digitised for example in books, documents, reports, white papers, spreadsheets, memos and databases” (Awad and Ghaziri, 2003). Having the two different forms of knowledge; tacit and explicit, a main challenge has been to identify as to how for example one form of knowledge could be converted to the other and vice versa. The underpinning assumption here is that further knowledge is created through the interaction between tacit and explicit knowledge (Nonaka and Takeuchi, 1995). These conversion mechanisms were encapsulated within the SECI (socialisation, externalisation, combination, and internalisation) model by Nonaka and Takeuchi (1995) that is well cited in most literature on 65 Sharing through Social Interaction: The Case of YIT Construction Ltd. knowledge management. Socialisation is for tacit to tacit knowledge conversion, externalisation for tacit to explicit knowledge conversion, combination for explicit to explicit knowledge conversion, and internalisation for explicit to tacit knowledge conversion. Furthermore, knowledge conversion is a “social”process between individuals and not necessarily confined within a particular individual. Therefore, interactions between individuals or groups of individuals are required to capture, convert, and create new knowledge from existing knowledge (Nonaka and Takeuchi, 1995). From the perspective of the construction industry, the most valuable form of knowledge is that which is tacit, based on the experience of individuals, and articulated through social interaction. In fact, in the construction industry tacit knowledge has been passed from skilled workers to apprentices over the years. At the same time however, since this knowledge is not readily accessible, and at times more often than not is in the form of rules of the thumb, or intuitions, there is a need to formalise it in a form and means that makes it accessible to many. Therefore, the initial focus would be on socialisation (tacit-to-tacit capture) and then externalisation (tacit-to-explicit conversion) to package the knowledge in a formal form that is accessible by many. In simple terms, how can experience be captured and made available in the form of good and/or bad practices that are accessible by all relevant stakeholders through for example a best practices database. Note that this is but a first and yet very essential step. It is naturally to be followed by combination (explicitto-explicit) and internalisation (explicit-to-tacit) processes in a continuous loop (socialisationexternalisation-combination-internalisation) for the formation of new knowledge. Industrial Context: Project Based Business A project may be defined as, “a temporary endeavour undertaken to create a unique product, service, or result” (Project Management Institute, 2000). When more than one entity (or interorganisational entity) is engaged, then a virtual enterprise (VE) is formed. The operational dynamics of virtual enterprises have been a subject of research by many (e.g. Browne et al, 1994, Charbuck and Young, 1992, Afsarmanesh et al., 1997). “The Virtual Enterprise consists of a series of co-operating 'nodes' of core competence which form into a supply chain in order to address a specific opportunity in the market place” (Walton and Whicker, 1996). In the case of the construction industry, this “specific opportunity”would as an example be the delivery of a building. At the same time, such projects are performed by people, constrained by limited resources, planned, executed, and controlled (Project Management Institute, 2000). Capture of and access to the good (and bad) practices within project environments are essential to ensure better/improved project or service delivery of other projects. Since projects are one-of-akind, there is no standard template or set of practices that is applicable to all. Though a generic set of processes and associated good practices may be considered, it is the unique processes and practices that are of value from a knowledge management perspective. Organisational Context: YIT Construction Ltd. YIT Construction Ltd., a part of the YIT Group, is the market leader in Finland and largest developer of market-financed residences. Its operations span the Nordic and Baltic States along with a growing presence in Russia. At the forefront of construction organisations in the development and adoption of key emerging technologies for the sector, YIT is developing model and knowledge based IT applications and related operational practices for internal use as well as for enhanced collaboration with other companies in the construction value chain. YIT has early on recognised the value of the experience and knowledge of its workers and is identifying the means to capture and share them effectively for improved onsite productivity, assurance of better quality products, and the provision of better value to its customers. 66 Real-Life Knowledge Management: Lessons from the Field Problem The construction industry is a project-based one with the delivered product changing from project to project under the influence of many different factors, one of them being context. This context could as an example be simply the physical conditions surrounding the landscape where the product (the building) is to be delivered. Consequently each day on the construction site brings forth a new problem and a new solution. These problems and solutions are rarely well documented and valuable lessons learned confined to the minds of only those who experienced them. Construction, being a project based one-of-a-kind production industry, knowledge and experience from past projects can be detrimental to the non-repeatance of past mistakes and the re-use of good solutions. This however is not very easy as project partners typically change from project to project and new partners are little if at all aware of past experiences, good or bad. As such, a means to capture good/best practices is essential by the main contractor to then be provided to other partners for use in the joint delivery of a building. In the coming years, the construction industry will lose a large portion of its skilled force (Kazi, 2005). It is not only the loss of this skilled force that is a matter of concern for construction organisations, but also the experiences and knowledge that this skilled force will take with them. Construction organisations such as YIT have experimented with different tools and instruments to capture some of the good and bad practices that are salient characteristics of a typical construction site and project. A good practise database has been implemented as a first means for the capture and appropriate dissemination of the captured good practices. Work towards the capture and reuse at YIT of best practices started in 1997. The initial focus was towards the standardisation of different structural components that they regularly used in buildings. Relying on this as a foundation, YIT’s best practices database was launched in 1998. This tool (used in parallel with several other ones) provides employees with access to best practices in the form of cards. The current system operates under lotus notes and is available only through the Intranet. All updates are done manually by a knowledge manager. An analysis of the current best practice database has revealed some in-efficiencies. A few are reported below: • Best practices are not properly systematised in accordance to YIT’s ontology • Database updates are only a few times a month and are not done automatically • Knowledge workers are not able to update items or comment on them • When no knowledge is available, clear indication as to whom could be a potential knowledge provider is missing • Customisable user interfaces both at user group and individual level are missing • All information is accessible (only in Intranet) • There is no possibility to access (in full or partiality) the best practices from outside YIT offices • People replicate the database on their computers, hence they may not have access to the latest correct information It was observed however, that more than IT based tools, social interaction between persons is the most effective means for capturing good practices. This was to be the first step in the knowledge capture and sharing process rather than reliance on an improved best practices database. A new development project (PromoBat) was launched at YIT to explore different mechanisms and social processes that would facilitate both the capture and sharing of best practices and experiences 67 Sharing through Social Interaction: The Case of YIT Construction Ltd. between project personnel. This would then be used as an input to the best practices database, which was to be further developed based on recommendations of project personnel. Learning Objectives: • Use of social processes for knowledge capture and sharing within project-based industries such as construction • The role of cross-functional audits as a basis for sharing knowledge on processes and furthermore as a basis for adaptation and creation of new knowledge • The use of different instruments (social processes) in providing a context through which knowledge and experience can be shared • Solving complex problems through cross-functional teams • Using “ intervention points”as triggers for instantiating social-interactions when and where needed • New forms of knowledge visualisation through a combination of building product models and knowledge sources Approach The approach used relied on a thorough analysis (supported by interactive user feedback) of the current state of knowledge sharing and transfer within YIT. A main objective here was the identification of interaction modalities between individuals and groups of individuals within YIT. The contexts within which these interactions took place were noted and the potential for knowledge capture explored. A set of comprehensive interviews with various stakeholders ranging from site managers to quality experts revealed social interaction (at times within an informal context) was the most effective means for articulation of tacit knowledge and experience (Koivuniemi, 2004). Focussing on the socialisation aspect of knowledge capture and conversion (tacit-to-tacit), various “social processes”were identified. These were in many cases context specific and purpose driven. Their relevance and potential were discussed through interviews and social process prototyping. Social processes were then classified and defined in detail. This was followed by an investigation of the common business practices with typical residential construction projects. Social processes were then mapped on to the business processes in the form of a set of “intervention points”. These intervention points constituted those phases within a business process where a social process could be initiated and on its basis valuable knowledge and experience captured and shared. To translate the captured tacit knowledge to be of a more explicit form and shareable across a wide spectrum of relevant stakeholders, externalisation (tacit-to-explicit) was used. In its simplest form, a set of templates were designed that were then to be filled by a knowledge officer based on the conversations that took place during a given social process. A final set of interviews and discussions were held with the stakeholders to solicit feedback on their experience with and impressions of the social processes, intervention points, and knowledge captured. Where required, some social processes and templates were redesigned and more intervention points identified. 68 Real-Life Knowledge Management: Lessons from the Field Case Analysis Knowledge is created and shared within a context and space (physical or virtual). This space or setting has been described through the Japanese concept of “ba”(Nonaka and Konno, 1998). Within the PromoBat project, context specific social processes were seen as a basis for the establishment of this “ba”. A set of twelve social processes were initially identified and grouped under three categories: action evaluations (social processes that aim to improve activities, measure and control site quality and estimate individual or team competence), internal activities of a construction site (social processes covering interactions and activities between site managers, employees and subcontractors), and activities within internal interest groups (social processes aimed at facilitating knowledge sharing and interaction between different functional units such as project management, sales and marketing, design, quality, etc.). Of these twelve, five were initially considered for further investigation and prototyping (these are shown in italics and without highlighting in Table 1). Based on the findings of these five selected social processes the remainder and other identified social processes were to be developed. Of these five social processes which were developed, three have been deployed site visits, cross audits, and horizontal quality and process teams), while others are to be considered for deployment in the near future. A detailed investigation and analysis is available in Koivuniemi (2004). Table 1: Identified Social Processes Action Evaluations Site visits Internal quality auditing External quality auditing Cross-auditing Performance and development discussions Internal Activities of a Construction Site Weekly meeting Site meeting Contractor meeting Morning meeting, task assignment/delivery Feedback Activities within Internal Interest Groups Horizontal quality and process teams Site management meetings Social Process: Site Visits Site visits were a new concept introduced within YIT under the PromoBat project. Their main underlying purpose was to act as an informal setting (“ba”) for the exchange of knowledge and experience between site personnel and those within the head office or located on other construction sites (Koivuniemi, 2004). This may in fact be seen as a short termed VE in which various participants from different units within YIT come together for a particular purpose: sharing knowledge. An overview of the site visits social process is shown in Figure 1. The key aspects of this social process lie in each participant identifying at least one unique good and bad practice from what they have observed during the site visit. So as an example, if there are ten participants during the visit, a minimum of ten unique good and ten unique bad practices are captured. Past experiences are shared 69 Sharing through Social Interaction: The Case of YIT Construction Ltd. with the site manager, and important lessons learned documented for further sharing and future reference. The feedback received within PromoBat has been very positive. Site visits have led to the establishment of relationships and contact points between the participants. Best of all, practices that may have otherwise gone un-noticed or un-documented, are now captured and made available for sharing. Project (site) Presentation 1 •Participants meet at the construction site •Brief introduction of participants •Site manager presents the project (site) •Achievements •Problems faced Site Tour & Observations 2 •Participants take a tour of the site •Observations are made: •What is good •What is bad •Questions are asked from site manager and other site personnel Discussion & Follow-up 3 •Discussion of identified: •Good practices •Bad practices •Key lessons learned •Identification of follow-up actions & meeting •People •Info. Sources •Best practice template filled Figure 1: Social Process: Site Visits Social Process: Cross-Auditing Cross auditing is used within YIT to allow different functional business units to benchmark themselves against one another. This allows for effective knowledge sharing across the business units. They key here is that the purpose of the audit is to capture and share good practices across the business units as opposed to simply seeing whether a business unit is functioning properly (Koivuniemi, 2004). An overview of the cross-auditing social process concept is shown in Figure 2. As may be seen, both auditor and auditee contribute existing knowledge and through the cross-audit acquire new knowledge. In this process, the main provider of the existing knowledge is the auditee whereas both the auditor and auditee are recipients of new knowledge in the form of ideas and good or bad practices. Both the auditor (one business unit) and the auditee (another business unit) know that the aim for the cross-audit is to harness new ideas and capture good and bad practices. A cross-audit is typically repeated at a later time with the roles of the business units changing, i.e. the auditor 70 Real-Life Knowledge Management: Lessons from the Field becomes the auditee, and the auditee the auditor. Current experience with cross-audits has been very positive. The concept is currently being heavily promoted across various business units within YIT. Existing Knowledge •Experience with existing processes •Business unit specific good & bad practices •Documents & templates Auditor Auditee •Target of the audit •Shares processes •Gets new ideas •Learns from auditor Cross Audit •Audits the auditee •Evaluates processes •Provides new ideas •Learns from auditee •Identified new processes, operational models •Identified new good & bad practices •New contacts & information sources New Knowledge Figure 2: Social Process: Cross-Auditing Social Process: Horizontal Quality and Process Teams The concept of the horizontal quality and process teams social process is unique to the Tampere unit of YIT. It is an informal conversation between individuals from different business units to discuss and/or solve a particular problem. The team itself is configured to constitute various members of the value chain constituting representatives from: designing, project management, sales and marketing, quality management, procurement, site management, etc. A key point of discussion is the information flow across a given process or set of processes. An overview of the horizontal quality and process teams social process is shown in Figure 3. A team member typically presents a problem that is then discussed and deliberated upon. Team members discuss the problem at first from the perspective of “why”it occurs. This is followed by a presentation and discussion of the possible solutions to the problem. These solutions are analysed from various perspectives (e.g. procurement, design, quality, management, etc.). The findings are reported and captured in the form of a set of good (solutions) and bad practices (aggravating the problem). These may be generic, or function specific. Positive experiences have been reported through the use of the horizontal quality and process teams social process. Experience has shown that to ensure a successful outcome, it is necessary to select problems of importance and relevance to all participants in addition to ensuring follow-up for further discussions if necessary. 71 Sharing through Social Interaction: The Case of YIT Construction Ltd. Horizontal Quality & Process Team Sales Site Management Marketing Design Procurement Quality Management Project Management Tacit Knowledge (experience) Problem Discussion of Problem Discussion of Solutions New Best Practices Explicit Knowledge Figure 3: Social Process: Horizontal Quality and Process Teams Results and Business Impacts Key Findings Through the case analysis it was observed that different types of social processes (e.g. site visits, cross-audits, and horizontal quality and process teams) provided an effective means for communicating across different functional units within YIT. In some cases, this was an opportunity for people located in offices to experience the dynamics of work on a typical construction site. Furthermore, through the feedback that was received, all participants found the concept of social process as a basis through which they could learn from each other, and therefore make better informed decisions. New contacts were regularly made, and each contact in essence meant a new knowledge node that could be tapped into in times of need. The social processes were purposely designed to create a specific context for knowledge capture and sharing. Experience in the use of social processes indicated that there were times when a social process enabled the capture and creation of knowledge within one setting, but was limiting in another. Therefore, care had to be taken as to when what type of social process was to be used. This was relatively easy to determine after a few rounds of social processes. In fact, once a participant had participated in a particular social process for a few times, he/she was then able to lead such social processes (i.e. initiate it, act as the moderator, document main findings, and coordinate follow-up actions). This was then used as a basis for the co-creation of a “people-2-people” community within YIT (see Figure 4). Here the main team responsible for the PromoBat project acted as the “YIT Knowledge Centre”and provided social process instantiation, moderation, and other support services when needed. 72 Real-Life Knowledge Management: Lessons from the Field Local (project/SIG/network) coordinator Member Local CoP Regional CoP YIT Knowledge Centre Knowledge hub YIT Community Figure 4: People-2-People Community There did however emerge one problem with the social processes. Based on the workloads and demands of the participants, there was a limit to how many social processes each could be engaged in despite their desires for active participation. Furthermore, it was unclear as to when a social process should be instantiated. To solve this problem, a new concept of “intervention points”was introduced. The concept of intervention points used in the PromoBat project was an extension of that introduced by Kazi (2004) and further extended by Koivuniemi (2004). In both cases, intervention points were seen as those phases within a process or a set of processes where a major decision or change was to happen. Within PromoBat, YIT’s processes for building construction were examined and intervention points identified. This concept allows for clear pinpointing of and identification of critical phases where the potential of knowledge sharing and capture is high. While social processes provide the context and means for the capture and sharing of knowledge, intervention points identify the time (process phase) where they are most beneficial. Project managers and site managers were offered the opportunity to identify as to when they saw a need for a social process and as to what type of social process they believed would be most beneficial at that particular moment to assist them in their decision making / learning needs. Each was given the option of identifying a set of required, preferred, and nice to have intervention points. The concept of intervention points and accompany social processes is best understood through a simple example of sketch planning as shown in Figure 5. Here the YIT personnel include the project manager and sales manger. Within this process flow, two key intervention points were identified for plan checking and material selection. It was at these points that some major decisions are made and issues finalised. For each intervention point, as shown in Figure 5, a relevant set of social process and the participants of the social processes are identified. Note that in the case of plan checking, the cross audit social process type is one of the selections. In this particular case, this cross-audit could be between two projects with each sharing its knowledge and experience. 73 Sharing through Social Interaction: The Case of YIT Construction Ltd. - Site visit - Cross audit Project Plan Project Manager Architect Key Participants: - Project manager - Architect - Sales manager - Other partners Financial Calc. s Instructions Sketch Planning Plan Checking Plan Approval Plan Checking Sales Manager Material Selection Project Partners Approved Plans Social Proc. type: Plan Checking Social Proc. Type: - Horizontal quality & process teams Key Participants: - Procurement personnel - Sales manager - Project manager - Quality manager Figure 5: Intervention Points - Sketch Planning Example Business Impacts In the coming years, the construction industry will lose a large portion of its skilled force (Kazi, 2005). It is not only the loss of this skilled force that is a matter of concern for construction organisations, but also the experiences and knowledge that this skilled force will take with them. According to Albert Einstein, “The only source of knowledge is experience”1. This has been one of the earlier guiding principles of the construction industry where, skills were passed on from master to student, from one generation to the next; the construction industry of yester years was a pool of skilled craftsmen. Industrialisation, large scale projects, and a large mind shift to profitability over the years have changed the very nature of the way industry operates today. In the past, focus was on the transfer of skills to maintain a set of skilled craftsmen, whereas today the focus is on shortening construction times, minimising costs, and effectively utilising resources. Organisations today are waking up to the reality that their most valuable asset is the intellectual capital (knowledge and experience) of their employees. Significant efforts are being put in place to try to manage this knowledge through social interaction, as was demonstrated through the use of social processes and intervention points in this case study. Within leading construction organisations such as YIT, where efforts are made to make efficient use of information and communications technologies (ICT) to both enable seamless information interoperability across heterogeneous applications and at the same time to provide a user friendly 1 http://uk.encarta.msn.com/text_761562147___4/Einstein_Albert.html 74 Real-Life Knowledge Management: Lessons from the Field ICT environment. Based on the findings of this case study, considerations were made on as to how to leverage the knowledge created and captured through the social processes and to make this available to relevant practitioners for use in their daily work as and when required. Of course, there exists the possibility of having a well-maintained and updated best practices database, but according to YIT’s past experience, this on its own was not enough. There was a need for embedding valuable experiences and work practices within the (virtual) product itself. This was seen to be through an inter-connection between product models and a best practices database (Figure 6). Product Model Server Registry Product Model Ontology Server BP Card Manu YIT BP Database Figure 6: Connecting Product Models and Best Practices Product models are at the heart of building design and are packaged with volumes of parametric information. This information on its own however is not structured in a meaningful way for a simple user to make use of it. Intelligent means and applications need to be developed to make the product model more “smart”. As an example, the automatic generation of a project status report for an executive manager, or the generation of a detailed cost estimate report for the finance department. At the current state of implementation in YIT, product models and the best practice database, though sharing a common data structure (as close as feasible) are distinct entities with no physical links. As such, it becomes necessary for one to perform specific searches to find for example construction techniques for a beam. A means to make the use of product models in the daily lives of construction personnel (e.g. at the site) is currently under investigation at YIT. This involves the linking of the best practices database with a product model server. Linking (relationships between product model objects and best practice cards) would be done though an intermediate application. The main ambition being that once a product model is loaded into the product model server, it would be pre-populated with relevant best practice links from the best practices databases. It would for example automatically attach construction techniques; safety directives etc. for all walls that have a thickness of 20 cm or less. 75 Sharing through Social Interaction: The Case of YIT Construction Ltd. It is worthy to mention here “visual”experience that an end-user (e.g. at the site) would experience. The user would see a 3-Dimensional representation of the product model. This would be navigable. Once a user clicks on a certain object (e.g. door), a menu would pop-up containing different best practice cards, contactable experts, quality manuals, etc. From here, one could select a particular report (e.g procurement details), or a best practice card (e.g. methods of work). These would be printable if needed. The ambition is to ensure that a user need not use any more than a mouse to navigate, select an object of interest, and to then retrieve relevant best practices, production manuals, quality instructions, links to experts, etc. In summary, social processes provide the basis through which knowledge is captured and shared; intervention points are those process phases where social processes may be of most value (the most opportune time for capturing and sharing knowledge that can influence a decision); results captured from social processes (using a best practice capture template) act as the main ingredients for the best practices database; the best practices database acts as “knowledge base”that is connected to the product model (semantically rich parametric model of building components, materials, geometry, etc.) of a building. Conclusions Within project based industries such as construction, valuable experience and knowledge is lost primarily because of a lack of proper capturing and sharing mechanisms. This paper advocated the capture and sharing of knowledge through a collection of “social processes”that were set within a particular context, i.e. they were defined for a particular purpose within a given setting. Three such social processes covering site visits, cross audits, and horizontal quality and process teams were presented. All three covered the identification, capturing and sharing of knowledge between individuals and groups. The output of these social processes is a set of good and bad practices that are recorded in a pre-defined template for further sharing, re-use, and the development of new knowledge. Social processes may be triggered at key intervention points within an organisation’s business processes. These business processes or sets of processes are where a major decision or change was to take place. They form the most relevant time to capture new knowledge, discuss and solve problems with different stakeholders, and identify and document a new set of good and bad practices. Organisations wishing to take advantage of their valuable knowledge assets are encouraged to identify critical intervention points within their processes and to position relevant social processes within them to facilitate the capture of new good and bad practices. These may then be propagated (shared) further through a database pointing to the practices, the source of the practice, and the key experts and information sources. The feedback received within the PromoBat project has been positive with regard to social processes and intervention points. Efforts are currently underway to create frameworks for more social processes and identify intervention points in more detail. These will be used as a basis for populating a new best practices database that will then be connected to YIT’s building product models for ease of knowledge resource access on a product component level. 76 Real-Life Knowledge Management: Lessons from the Field Practical Tips and Lessons Learned: • Within project-based industries such as construction, valuable knowledge is created within projects, but is often lost as it is not efficiently shared. There is a need to identify mechanisms (even rewards) that allow for the capture and sharing of this knowledge (experience). • Knowledge is best captured and shared within a context (such as a common goal). Such a context could be created within a particular event, workshop or even meeting. If there is no context, limited capture and/or sharing of knowledge will take place. • Social processes are very good instruments to enable knowledge capture and sharing through social interaction. They could as an example (cross-audits) offer different functional units to learn from each others’experiences and work practices. • The type of social process required to capture and/or share knowledge will vary significantly based on what is to be captured and/or shared within a given context. Special social processes may need to be designed for a particular context and the setting within which it will take place (e.g. the world café format). • Social processes on their own are not enough. There need to be clear directions as to when, where, and in which context they occur. One good option is to embed these social processes within an organisation’ s business processes at those locations where the opportunity to capture and/or share knowledge is maximum and where the social processes may influence a key decision. • The skilled workforce is fast retiring, and with them the valuable experience that they have built over the years. Mechanisms need to be introduced to learn and share these experiences. Social processes may be used as one such mechanism for sharing of experiences. • Knowledge that is created, captured and/or shared needs to be widely disseminated. This could be through self forming communities (of practice), or through the embedding of links to these knowledge resources within other business applications (as an example, best practices, information on experts, knowledge resources, etc. can be attached to production models or even process models). Acknowledgements The PromoBat project was launched by YIT Construction Ltd. with some financial support from TEKES (National Technology Agency of Finland) and consultancy services from VTT (Technical Research Centre of Finland) to serve as a means for the identification and capture of good practices. Gratitude and appreciation is expressed for their support. The authors wish to acknowledge the support and efforts of all stakeholders involved during the project, in particular the site personnel who shared their time, experiences, and created a context for both the capture and sharing of good and bad practices. 77 Sharing through Social Interaction: The Case of YIT Construction Ltd. References Afsarmanesh, H, Garita, C, Hertzberger, L.O. and Santos-Silva, V. (1997) Management of Distributed Information in Virtual Enterprises –the Prodnet Approach. Proceedings of the 4th International Conference on Concurrent Engineering, Nottingham, UK. Awad, E.M. and Ghaziri, H.M. (2003) Knowledge Management, Prentice Hall. Browne, J., Sackett, P.J. and Wortmann, J.C. (1994) The System of Manufacturing: a Perspective Study, Report to the DG XII of the CEC, European Commission. Charbuck, D. and Young, J.S. (1992) The Virtual Workplace, Forbes, 150(12) 184-190. Davenport, T.H. and Prusak, L. (2000) Working Knowledge: How Organisations Manage What They Know, Harvard Business School Press. Kazi, A.S. (2005) Knowledge Management in the Construction Industry: a Socio-technical Perspective, Idea Group Publishing. Kazi, A.S. (2004) Parametric Analysis of Different Project Planning and Control Functions, AIT Dissertation, CM-04-01, Asian Institute of Technology, Bangkok, Thailand. Kazi, A.S., Puttonen, J., Sulkusalmi, M., Välikangas, P. and Hannus, M. (2001) Knowledge Creation and Management: the Case of Fortum Engineering Ltd., Knowledge Management in the Sociotechnial World: the Graffiti Continues, Springer-Verlag, pp.153-169. Koivuniemi, A. (2004) Capturing Best Practices in Project-based Construction Business –the Role of Social Processes. Master’s thesis, The Institute of Business Information Management, Tampere University of Technology, Finland. Nonaka, I. and Takeuchi, H. (1995) The Knowledge Creating Company: How Japanese Companies Create the Dynamics of Innovation, Oxford University Press. Nonaka, I., and Konno, N. (1998) The Concept of “Ba”: Building a Foundation for Knowledge Creation, California Management Review, Vol. 40, No.3, pp. 40-54. Project Management Institute (2000) A Guide to the Project Management Body of Knowledge, Project Management Institute. Walton, J. and Whicker, L. (1996) Virtual Enterprise: Myth and Reality, Journal of Control, 22(8), 22-25. 78 Real-Life Knowledge Management: Lessons from the Field Authors’Biographies Dr. Abdul Samad (Sami) Kazi, senior research scientist at VTT, the Technical Research Centre of Finland is a Civil Engineer by profession, and Construction Manager by area of specialisation. Sami has conducted research in several areas including: project planning and control, computer based training, construction management, knowledge management, system dynamics, construction IT, information modelling, product and process modelling, cost planning and control, Internet based technologies, groupware tools and technologies, mobile communications, information modelling, mind mapping, concurrent engineering, virtual enterprises, organisational learning and assessment. Sami has edited several books in the areas of ICT for construction projects and processes, knowledge management, systemic innovation in construction projects, etc. He is listed in the Marquis Who’ s Who in Science and Engineering, is a fellow of the Entovation E100 Global Knowledge Leadership network, and is content steward at KnowledgeBoard. Anssi Koivuniemi, 27, works for the Finnish construction and service company YIT. He earned his M.Sc. (eng.) from Tampere University of Technology, Finland, with a major in Information and Knowledge Management. He has worked internationally both in YIT company’ s internal and external projects on developing and implementing knowledge management activities such as knowledge capturing and sharing. It has been Anssi’ s responsibility to develop and organize various personnel trainings and knowledge transfers between business segments and business units both domestically and internationally. 79 Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis Sonja Blignaut 5 Real-Life Knowledge Management: Lessons from the Field Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis Sonja Blignaut, Senior Consultant, IBM Business Consulting Services South Africa (sonja.blignaut@za.ibm.com) Abstract The Information Management (IM) division of a large financial institution in South Africa was struggling with functional silos that prohibited their ability to leverage the strengths of their different areas of specialisation. As part of the establishment of a Knowledge Management Center of Excellence (KM CoE), a project was implemented to use Cynefin methodologies (specifically Community Social Network Analysis (SNA) and Cynefin Categorisation) to investigate the root causes for this problem, and to attempt to address it. One year later, a follow up SNA was completed to determine the impact of the initial SNA and the initiatives that followed. The results of these two initiatives were compared by an independent team of consultants. The 2004 SNA confirmed the existence of silos in the environment, and further more provided a view of where the specific issues were. The Cynefin categorisation indicated that perspective bias differences were part of the underlying reason for the perpetuation of the silo behaviour. The two result sets provided information that allowed the team to design interventions targeted at specific problems. The 2005 SNA results showed definite improvements in the network, with the silos still in evidence, but with much more cross-silo collaboration taking place. Keywords: Social Network Analysis, Financial Services, Perspective Bias, Cynefin Background, Cross-silo, Community Background Industrial Context In 2001 Knowledge Management (KM) was selected as one of four strategic drivers of Intellectual Capital in one of the ‘big four’banks in South Africa. It was later identified as one of twelve core capabilities that the organisation would be focusing on as part of their strategy, and was also chosen as one of 6 core capabilities that needed to go through a process of accelerated development to ensure sustainable success. 83 Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis A strategic decision was made to initially focus on the creation of a central KM capability in the group, not the implementation of KM throughout the group. A KM Center of Excellence (COE) was established within the Information Management (IM) division, focusing on two aspects of KM: • Technology enablement and; • Mobilisation and consulting, which is focused on Knowledge strategy formulation and the ‘human’aspects of KM. The focus of the Technology Enablement area has been on the centralization of the content management capabilities in the group, as well as establishing and entrenching content management governance throughout the group. The mobilisation and consulting team of the newly created COE, assisted by IBM, initiated the development of their service offering, governance framework and roadmap going forward. An overarching Knowledge Strategy was created, which is currently being implemented through various initiatives that were identified as part of the strategy formulation process. The KM methodology of choice for the organisation is Dave Snowden’s ‘Just-in-Time KM’ (Snowden 2002a and 2002b), which exploits the dualistic nature of knowledge (knowledge is simultaneously a ‘thing’and a ‘flow’). This methodology is primarily based on three heuristics: • Knowledge can only be volunteered, never conscripted • I only know what I need to know when I need to know it • We always know more than we can say, and we always say more than we can write down These heuristics led to a focus on the following KM elements: • Context management: Social network analysis/stimulation, expertise location, communities, workplace design, knowledge culture mapping • Narrative management: Narrative enquiry, narrative database, Patterning, Story, Knowledge transfer processes • Content management: Document management, portals and search/taxonomies Proof of concepts for most of the CoE’s service offering has now been completed, including two community SNA’s within the bank’s IM division. These initiatives have had a positive impact on the environment, and they led to more and more requests for assistance flowing into the KM CoE from the rest of the group. This case study will focus on the projects that were run in the IM division of the bank, as part of the process of establishing the KM CoE. Problem Statement The IM division in this bank comprises several largely independent sub-divisions. The main focus areas of the division include maintaining and mining an international award winning data warehouse and providing customer analytics data to the rest of the group. Because of the highly specialised nature of the different sub-divisions, silo behavior was very prevalent in the environment. This led to many lost co-operation and innovation opportunities. A need existed to better understand the nature of the network ties between these sub-divisions to enable the KM team to design interventions to start breaking down these silos and to increase collaboration in the division. The project also served as a proof of concept for Social Network Analysis and the Cynefin Perspective Bias methodologies, which are components of the KM CoE’s service offering to the 84 Real-Life Knowledge Management: Lessons from the Field rest of the group. To limit scope, it was decided to focus only on network connections within the formal communities (internal sub-divisions) within the IM division. Learning Objectives: • Explore the advantages and pitfalls related to the application of Cynefin techniques in large corporations • Evaluate Social Network Analysis and its applications • Determine the value of Cynefin perspective bias as used in conjunction with an SNA Approach Our approach involved the comparison of two sets of SNA results data that were collected during two separate SNA initiatives run exactly 12 months apart. The SNA graphs, as well as the statistical results data were compared and analysed by the KM project team. The Cynefin approach to SNA was selected because of its ability to minimise the risk of political gaming when completing SNA questionnaires. The more traditional approach to SNA involves investigating the connections between individuals, the Cynefin approach is to focus instead on the relationships between identities, which typically include formal and informal communities as well as prominent roles or functions. One of the key benefits of this approach is that questionnaires are completed collectively by groups of people. The results are therefore more reliable, as much of the risk for data contamination by personal agendas and political positioning is removed. Another benefit is that the impact of context is minimised. When conducting an individual SNA one is often faced with the problem that there is confusion between an individual’s business and personal relationships with their colleagues. Often this confusion leads to skewed results. As the Cynefin approach is centred on the collective perspective, this issue is largely minimised. That being said, one of the main criticisms we had on the Cynefin SNA approach was that the results aren’t granular enough, i.e. where the results were not what people expected i.e. connections existed where they weren’t expected to be, decision makers would have like to be able to drill down to an individual level to gain more insight into that specific interaction. There may therefore be a case to be made for a combined approach, possibly applying the Cynefin SNA approach during the initial phases of a project, followed by an individual SNA focussed on gaining a deeper understanding of identified problem areas. The team decided to run a perspective bias initiative concurrently to the second SNA on order to gain a deeper level of insight into possible reasons for the existence of silo’s in the environment. The standard Cynefin categorisation process was followed to determine the bias differences between the communities in the division, the KM team analysed the results from the Cynefin perspective bias initiative in consultation with Dave Snowden, as this is a very new area and the work that was done were often ground breaking. Case Analysis The methods used in this case study are based on the Cynefin methodology, provided by Dave Snowden and the Cynefin Centre. In short, the Cynefin methodology is based on social complexity principles, and focuses on Narrative, Networks and Sense making. It is built around a sense making framework, which distinguishes between ordered and un-ordered systems. 85 Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis The project team used the Cynefin Community SNA method, where the SNA is conducted between ‘identities’(in this case, formal communities) and not individuals. According to Snowden (2005) this approach minimizes the risk of individuals deliberately influencing the results according to their own agendas. An initial SNA was conducted in May 2004 with a follow up SNA planned for May 2005 – this would enable the team to determine the impact the SNA and other subsequent interventions had on the environment. As a result of the initial SNA, a Cynefin Perspective Bias exercise was run in the environment to investigate the communication disconnect between communities, which were more technically orientated vs. communities with a strategic focus. The SNA also showed that many of the communities didn’t know what expertise existed in other communities, which led to a pilot project, using an individual SNA (Cross, Parker 2004) to identify experts in one of the communities in the IM division. Comparative Results – 2004/2005 Social Network Analysis It was decided early on in the process to focus the SNA on formal communities only and to conduct it across 4 dimensions – learning, meaning, influence, and warmth. Questionnaires were designed and sent out to the formal community leaders and the communities were given the choice of electing a proxy to complete the questionnaire, or to complete it as a group. Many communities chose to elect a proxy, which in the end proved detrimental to the process, as the results were invariably skewed according the proxy’s perspective. During the follow-up SNA, communities only had the option to complete the questionnaires as a group during a facilitated session – this eliminated the problem experienced during the first SNA. The project team collected and collated the SNA results; the process included capturing the questionnaire data and generating network statistics (cohesion distance, density and degree centrality) and diagrams using UCINET software. It was decided to focus only on meaningful interactions; the data was therefore dichotomised on values greater than 4, to ensure that only high ranking interactions were shown in the graphs. Once the data was collated and all the diagrams drawn, sense-making workshops were held with three groups, being the: • Project team –objective analysis of the diagrams and statistics based on theory and patterns only; • IM Executive team – subjective analysis (EXCO perspective) of diagrams, statistics and patterns identified by the project team; • IM staff (proxies from each of the communities) subjective analysis (staff perspective) of diagrams, statistics and patterns identified by the project team; We discovered early on the importance of obtaining inputs from all three of the above mentioned groupings on the SNA outputs, as it provided us with valuable perspectives about the reasons for the existence of many of the patterns in the graphs. Often a pattern that may at first seem negative can be justified when the context is known. In the following section, we will look at the comparative results of each of the four dimensions in detail. The following statistical measures were used in this study: 1. Network density – indicates the robustness of a network. The density figure reflects the number of connections that exist out of 100% possible connections in a network. More 86 Real-Life Knowledge Management: Lessons from the Field connections means quicker and more accurate information flow, however, too many connections may have a negative impact on efficiency in the network 2. Degree centrality –may indicate influential nodes in the network 3. In-degree –number of arrowheads coming into a node 4. Out-degree –number of arrowheads coming from a node 5. Network cohesion or distance – indicates the ease with which a network can connect. Distance is shortest path between two nodes. Aggregate measure at network level reflects the average distance between all nodes in the network. The names and acronyms for several of the communities changed during the period between the two SNA’s. The nodes on the network diagrams are color coded to indicate related communities. Table 1: An indication of community name changes from 2004 to 2005 2004 Communities Related 2005 Communities IMOSAD SAD IMOIB IB IMODWM ETL KMMCS KMCS SIE BDM BCE PO BPM MIS BI BSC Dimension 1 - Learning Question: Most of us obtain information and / or learn from various groups of people within our organisation. How much does your community depend on each of the following groups or communities for information and / or learning? Results focused on the top two values on the response scale (‘Dependent & Highly dependent’) – i.e. meaningful ties 87 Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis 2004 2004 - Network Measures Density = 12.86% Distance based cohesion = 0.180 Average distance = 1.833 2005 2005 - Network Measures Density = 28% Distance based cohesion = 0.489 Average distance = 2.527 Figure 1: Comparative results: Learning Dimension The 2004 SNA results for the learning dimension was particularly concerning, as several of the communities were completely isolated. This meant that some of these communities were completely cut off from the rest of the network, implying that the rest of the network was unaware of their value, and therefore they were being marginalized. Overall the 2005 SNA results show a marked improvement: there are no more isolates, although one or two of the communities (e.g. the personal assistants (PA)) are only connected to the network through one other community (EXCO – the community they report to). Network density has increased significantly, from 12.86% in 2004 to 28% in 2005. This indicates that information flows more effectively through the network. Cohesion has also increased from 1.83 to 2.53, which seems to indicate increased robustness in the network. In both the 2004 and 2005 results a strong triad relationship is clear between the IM Operations communities - IMODWM (ETL in 2005), IMOIB (IB in 2005) and IMOSAD (SAD in 2005). These communities together form the operational hub of the IM division, responsible for the development and maintenance of the data warehouse, as well as the provision of critical reports to the rest of the organisation. The strong collaborative relationship between these three communities is clear across all the SNA dimensions, and together they form a highly influential hub in the network. What was concerning in 2004 is how far the EXCO community was removed from this operational hub. The 2005 results show improvement, with a link to the hub via the IMA (architect) community. This is a very positive development, as it allows for the IMA community to translate technical information into a language that EXCO can relate to. These improvements are largely due to initiatives implemented by the managers of the relevant communities and the KM team based on the 2004 results. Brown-bag lunch sessions (termed IMTalk) are now held on a monthly basis with the main purpose to provide an informal knowledge sharing platform. 88 Real-Life Knowledge Management: Lessons from the Field Another reason for the improvement in this dimension is concerted effort from the team leaders to encourage knowledge sharing between their respective communities. Having been confronted by undeniable proof of where their teams are in the network, they had a better idea of where to focus their energies. A good example is the IM Architecture (IMA) community (circled on the diagram). In 2004 the IMA community was a learning ‘sink’i.e. they many outward directed connections (they went to other communities for learning), but no incoming connections (none of the communities came to them for learning). In spite of being very centrally placed in the network, they were like sponges – learning from many other communities, but never passing on the knowledge. The manager of the area put specific initiatives in place to address this issue, including adapting the performance measures for the team to include specific measures to ensure that all deliverables were distributed to other communities, and that these deliverables were understood by relevant parties. As can be seen by the 2005 results, these initiatives had the desired effect, with IMA now an even more central community in the network, and a significant number of incoming arrows indicate that many of the other communities are now learning from them. A negative pattern in the 2005 results that needs to be addressed is the high dependence on contractors and consultants (CC) for learning. The KM team is currently developing knowledge transfer processes to ensure that critical knowledge is transferred to permanent staff members before the consultants leave the environment. Dimension 2 - Meaning Question: When you come across a work-related problem which you cannot make sense of, how likely are members of your community likely to turn to each of following communities or their members for assistance? Results focused on the two top values in the response scale (‘Likely & Very likely’) – i.e. meaningful ties. The meaning dimension is an important dimension as it shows the network ties for a deeper level of interaction than simply information exchange. This dimension indicates collaboration and joint sense-making between communities. The 2004 results showed an isolated sub-network; what was concerning about this was that the Executive (EXCO) community, who are the main decision makers in IM, was part of this sub-network. Once again, this community was completely cut off from the operational hub. These results were corroborated by a very real issue in the environment around strategy formulation and communication. Many of the employees felt that they weren’t included in strategy formulation, and therefore the Executive found it very difficult to obtain effective buy-in into their strategy. Based on the results of the 2004 SNA, the Executive team focussed on adopting more of a bottomup approach to strategy formulation. Subsequent feedback from other communities confirmed that their experience of the strategy formulation process was a great deal more positive in 2005. The 2005 SNA results showed a definite improvement in the network on the meaning dimension. Although the network density is still quite low, all communities are now connected, and many of these communities now feel comfortable to engage with the EXCO community when they need to make sense of work issues. 89 Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis 2004 2004 - Network Measures Density = 16.19% Distance based cohesion = 0.215 Average distance = 1.44 2005 2005 - Network Measures Density = 22.86% Distance based cohesion = 0.463 Average distance = 2.24 Figure 2: Comparative results: Meaning Dimension Another community that shows marked improvement is the SIE community (the name of this community changed to BDM in 2005, circled with a dashed line on the diagram). This community was established in 2004 to promote and sell the IM division’s service offering to the rest of the group. The 2004 result indicated that they were very much on the perimeter of the network, only connected to the rest of the network through one other community. This was concerning, as they needed to have a clear view of the roles and services of all the other communities in order to fulfil the role they were created for. In 2005, we can see a dramatic improvement in their positioning in the network. This is once again due to targeted actions initiated by the relevant community leads. As in the learning dimension, high dependence on Contractors and Consultants (CC) remains a problem in the meaning dimension. 90 Real-Life Knowledge Management: Lessons from the Field Dimension 3 - Influence Question: Our actions and decisions are often influenced by others. How much impact does each the following communities have on the work and decisions of your community? Results focused on the top two values in the response scale (‘Great & Very great’) –i.e. meaningful ties 2005 2004 2004 - Network Measures Density = 16% Distance based cohesion = 0.215 Average distance = 1.439 2005 - Network Measures Density = 22.86% Distance based cohesion = 0.463 Average distance = 2.24 Figure 3: Comparative results: Influence Dimension As in the previous two dimensions, most concerning pattern in the results for the influence dimension was the positioning of the EXCO community in the network. As their main role is to provide strategic direction, their positioning seemed to indicate that 1) they weren’t being influenced by many other communities in the network, i.e. they didn’t consult their experts enough, and 2) they had very little influence over the rest of the network. The most influential communities in the network were the three operational communities. CC – contractors and consultants was also an influential community, which was concerning from a risk perspective as this community is made up out of non permanent staff members. Their influence is slightly less in 2005, which is a positive trend. The main reason for this is a successful recruitment drive which brought many new permanent staff members into the environment. In 2005, the EXCO community became more central to the network, and seems to have built stronger relationships with other critical communities. The IMA community also became much more influential in the network, a necessary change, as they are the architects who design the blueprints for new systems and products that other communities need to implement. 91 Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis Dimension 4 - Warmth Question: As we interact with others, our comfort level varies. community when it interacts with each of the following communities? How comfortable is your Results focused on the top two values in the response scale (‘Comfortable & Very comfortable’) – i.e. meaningful ties. 2005 2004 2004 - Network Measures Density = 46% Distance based cohesion = 0.269 Average distance = 1.920 2005 - Network Measures Density = 62% Distance based cohesion = 0.812 Average distance = 1.376 Figure 4: Comparative results: Warmth Dimension Warmth is the dimension that is most open to political game playing. Very few people are prepared to indicate discomfort with someone else, however conducting the SNA on community level mitigated part of the problem. It is interesting to note that the density in this network is significantly higher than in the other three dimensions. This seems to indicate that people in the network are very comfortable interacting on a superficial or social level, but less so when having meaningful, collaborative interactions. This is the only dimension where the density decreased from 2004 to 2005. A possible reason for this is the high number of new employees that entered the environment during this period. It stands to reason that comfort levels will decrease with the introduction of many unfamiliar people. Currently the project team is investigating ways of leveraging off this highly connected network to address some of the problems that were found in the other dimensions. ,Is there a way to incorporate learning activities in informal sessions, such as the Friday afternoon open bar, for example? 92 Real-Life Knowledge Management: Lessons from the Field Using Cynefin Methods to Expose Perspective Bias Differences The results of the initial SNA indicated disconnected communication flow between many of the communities in IM, but most notably between the EXCO and IMA (architecture) communities and the rest of the network. As these are the primary strategically focused communities in the environment, the project team felt that this issue was worth further investigation, as it probably had a big impact on strategy development and implementation in the division. The team decided to investigate how big the role was that perspective bias differences between these communities had in this communication problem. A case study of where Cynefin methods were used to expose perspective biases between government entities in Singapore, led to the selection of the Cynefin Categorisation method for use in this initiative. What is Perspective Bias? “We don’t see things as they are. We see them as we are.”, Anais Nin We all make sense of the world differently, and therefore we react and communicate accordingly. This often leads to difficulties or conflict when people (or communities) who view the world differently try to communicate with each other. There are two aspects to perspective bias: • Difference - this is not necessarily negative, as people in different positions often need to approach the world differently, e.g. someone working with data and statistics needs to be more ordered than someone managing people. • Dissonance – this is often negative as it shows that the same concepts are understood and interpreted differently by different communities. This could lead to communication disconnects and therefore a very a slow response rate in times of crisis in an organisation as different communities attempt to reach consensus. The Cynefin framework (see Figure 5) is a sense making framework based primarily on order vs. un-order. It has 5 domains - visible order, hidden order, complex un-order, chaotic un-order and disorder. When a single dataset is categorised into this framework by several different communities, the results indicate differences in the way that the communities view and understand the concepts represented by the data points. The different distribution patterns reveal the bias differences between the communities. Looking at where specific data points were placed by each community reveals bias dissonance. 93 Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis Un-order Order Complex Complicated CàE CE (Discoverable) (coherent in retrospect) Issues are not transparent but become clear through analysis Issues have multiple root causes Emergent Solutions Disorder Chaotic C¦ E (No perceivable relationship) Several good solutions Simple C=E (Known/Obvious) Issues are familiar and obvious Issues catch you completely off guard One best solution No stable solution Figure 5: The Cynefin sense making framework Approach During a workshop (attended by proxies from each of the formal communities), the Cynefin framework was introduced to the participants. Once we were sure they understood the framework, they were asked to brainstorm around concepts and issues etc. which were present in the IM division that they felt fit into each of the Cynefin domains. The output from this session was a fully categorised dataset, which represented the collective perspective of all the communities in the division. The dataset was reproduced on stickers, and workshops were arranged with each of the communities where they were asked to categorise the concepts into the Cynefin framework from their own perspective. This resulted in a set of categorised frameworks from the perspective of each of the individual communities. The project team collated the information, and compared the placement of the data points by each of the communities to discover the primary bias of each of the communities. The Cynefin domain into which the majority of the data points were categorised indicates the primary bias for the community (Figure 6). An interesting result (although by no means unexpected when one considers the environment) is that the majority of the communities showed a strong bias towards the ordered domain. There were some communities (e.g. EXCO) with a strong bias towards un-order, specifically the domain of Complex Un-order, which once again is to be expected of a strategically focused community. These results shed some light on another reason for the problems that the Executive had when it came to strategy formulation and communication. It was quite probable that the language they used when communicating to the rest of the communities was too abstract, not specific enough for the ordered communities to buy into. Often communities with an ordered bias are very task-orientated, they get frustrated when communications are vague and abstract; they want to know the specifics 94 Real-Life Knowledge Management: Lessons from the Field and get on with it. Communities with a bias towards complexity are usually more comfortable communicating on higher levels of abstraction; they tend to see the bigger picture, and think strategically. It is often difficult for them to translate their ideas into clear and concise messages that would resonate with the ordered communities. Un-Order Complex Order High Abstraction Complicated •IMA (19%) •EXCO (26%) •KMMCS (26%) •KMTE (30%) RCM (28%) •BI/BCE (35%) •BI/BCE CC (34%) •IMODWM (27%) •IMOIB (30%) •IMOSAD (28%) •KDD (33%) •PA (23%) •BDM (34%) Chaotic Low Abstraction Teaching Cultures Learning Cultures •BPM (30%) Simple Figure 6: Bias difference results based on primary bias percentage per community The secondary bias percentage for each community was also taken into account, as it allowed the team to identify bridging communities that could be leveraged as ‘mediators’between communities with incompatible primary biases. The KMCS (Knowledge Management Consulting Services) community is a particularly important bridging community, as they straddle three of the four domains (simple, complicated and complex). This indicates that they are perfectly suited to their role as KM consultants, but in addition, the community could be leveraged by other communities to assist with communication difficulties. 95 Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis % Bias1 Bias2 Legend: Simple (Visible order) = V Complicated (Hidden Order) = H Complex = CX Boundary between Visible & Hidden Order = B KMMCS KMTE,EXCO, IMA, BPM BDM, RCM, PA, BI/BCE, BI/BCE CC, IMOSAD, IMODWM 21 (H) 24 (H) 18 (H) 12 (H) 19 (CX) 19 (B) 18 (CX) 24 (B) 16 (CX) 21/ 21 (H/V) 28 (CX) 16 (H) 20 (H) 24 (H) D KD 35 (V) 34 (V) 30 (CX) 26 (CX) 19 (H) 27 (V) 30 (V) 28 (V) 33 (V) 26 (CX) 30 (H) 23 (V) 28 (B) 34 (V) B, OI IM BI/BCE BI/BCE CC BPM EXCO IMA IMODWM IMOIB IMOSAD KDD KMMCS KMTE PA RCM BDM Placement of communities on the framework based on primary and secondary bias percentages Figure 7: Bias difference results based on primary and secondary bias percentages per community To determine bias dissonance between the communities, the placement of specific data points was compared. When considering bias dissonance it is important to note that four of the Cynefin domains (simple, complicated, complex and chaotic) may each be divided into four sub-domains. • Stable - the central area in each domain is the area where concepts are viewed as being stable in that domain, i.e. the concept has always been in that domain and can be reasonably expected to remain stable. Understanding aeronautical mechanics is and will always be complicated, for example. • Extreme - Towards the furthest outer corner of each domain, is where the concept is categorised if it is viewed as being extreme, almost to the point of becoming unstable in that domain. E.g. if a process in the ‘simple or visible order’domain is over constrained, it may collapse into chaos. • Boundaries - There are two boundary conditions for each of the domains, which indicate that a concept may be viewed as transitory between the two domains on either side of the boundary. Figure 7 shows an example of the dissonance results in the environment on the concept of ‘decision making’. From the categorisation results it seems that when the different communities have to make joint decisions, it may be problematic. Many of the communities view decision making as an ordered task, i.e. if you’ve done your research and you’ve got the relevant information, making the decision should be simple. Other communities view it as an un-ordered task, and may seem to be procrastinating while they weigh all the options. These different perceptions and decision making styles manifest in the environment as a perceived lack of decision making capability by the workers on the ground. It is interesting to note that none of the communities classified this data point as being in the Extreme part of any of the domains. Many communities saw it as being transitory between two domains. Other data points with significant dissonance include: Collaboration, teamwork, leadership, management, customer, customer service, delivery and measurement. 96 Real-Life Knowledge Management: Lessons from the Field To address this problem, the KM team is currently implementing an initiative where the communities will collectively participate in defining a ‘common language’for the division. To this end, several workshops will be held where the participants will collectively agree on the meaning of each of these concepts. These definitions will then be diffused into the rest of the division to ensure that, when a discussion occurs about a customer (for example), everyone is on the same page and talking about the same thing. BI/BCE CC Complex BPM IMOIB, KMTE, KDD BDM, IMA, IMODWM Complicated EXCO, BI/BCE, KMMCS RCM, IMOSAD PA Simple Chaotic Figure 8: Bias dissonance results on concept of Decision Making Results and Business Impacts Key Findings Since every diagnostic is an intervention in itself, simply participating in these initiatives changed the environment significantly. While this is recognised by most of the participants, the biggest challenge the project team faced during this process was related to the measurement of the specific impact and derived value of each of these initiatives. The initiatives discussed in this document weren’t conducted in a vacuum. Many other changes occurred in the environment at the same time, e.g. new people joined, others left, and other initiatives were run during this same time period. It was therefore extremely difficult to determine how much the SNA and the resulting initiatives contributed to the positive changes in the environment. Results of the SNA confirmed the existence of silos in the environment, and although management was always aware of these silos, they had no clear view of where the biggest problems were, or similarly where pockets of cross-silo collaboration existed. The SNA results provided them with critical information to design targeted interventions in order to address specific problems. It is important to note that it is never the objective to connect all communities in the social network to all 97 Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis other communities, as this would significantly hamper the effective functioning of an organisation. A more effective approach is to determine which communities should be connected, and to focus on creating only those connections which will benefit the business. The Perspective Bias exercise provided further insight into the communication disconnects that play a role in the perpetuation of these functional silos. Awareness of the fact that the different communities view the world differently had an immediate effect on communication in the environment. One of the main issues that were highlighted by the 2004 SNA was that the Executive community (EXCO) was largely cut off from the rest of the network, across the key dimensions of learning, meaning and influence. This was further substantiated by the results of an independent quantitative study conducted in the division prior to the SNA. These results showed that the strategic direction of the division (set by the executive) wasn’t well understood by the rest of the staff. Specific interventions were put in place to address this issue, with the executive focussing on being more accessible to staff members, and on communicating in ways that resonated with the environment. The positive impact of these interventions was clear in the 2005 SNA results, which revealed that across all dimensions the density of the networks have increased dramatically. The EXCO community has increased their network ties in terms of learning and meaning. Subsequent feedback from the environment confirmed that the overall perceptions of the EXCO community and the division’s strategy have become more positive. Not all of the projects resulting from these initiatives were focussed on intangibles. The SNA results made it clear that the different communities did not understand the value of each of the other communities. Further investigation showed that there was general confusion in the division regarding who the experts were that they needed to consult with in each of the communities. An initiative was completed in August 2005, where an individual SNA was combined with a peer review process to identify experts on relevant topics in one of the communities. The results of this initiative was used to determine succession plans for critical areas and was so valuable that the methodology is now being formalised to be re-used in other areas of the bank. Another consistent theme across all of the SNA dimensions is the high dependence on consultants and contractors. This is an ongoing problem, which is largely caused by a shortage of specialised skills in South Africa. There is no real solution to this problem, but the business impact can be minimised by ensuring that proper knowledge transfer processes are in place to make sure that critical knowledge is retained even when the consultants leave the environment. Establishing these processes is another project that resulted from the SNA. The general feeling within the division is that there has been a definite improvement in communication flow, and while silos prevail, they are less prominent than a year ago. Crossdivisional communication has increased, and this has led to better collaboration and the ability to leverage the full potential of the IM division when responding to client needs. Business Impacts Combining information about the flow of knowledge and information through the existing networks, and perspective differences within those networks, provides a level of understanding that only one technique does not provide. Within highly specialised environments (in all industries), silo cultures are a pervasive problem that stifles innovation and leads to loss of sales and growth opportunities. This project proves that silo’s can be broken down by utilising techniques that have relatively little time impact in the environment. The techniques also expose the underlying causes for these silos, and allow organisations to not only address them superficially (the symptoms) but to address the underlying causes. 98 Real-Life Knowledge Management: Lessons from the Field If perspective bias dissonance is exposed and addressed, it enables an organisation to become more agile in most any situation. When faced with a crisis, it should be able to respond much quicker than its peers and competitors, as all the key decision makers should have a common understanding and shared context around key concepts. It is also useful to know which of communities are strongly biased towards specific domains, and therefore are comfortable in those domains. For example, communities with a bias towards the complex or chaotic domains may be very effective in a crisis, as they are more comfortable than other communities when faced with a chaotic situation. Similarly, it will be more efficient to assign administrative responsibilities to communities with an ordered bias. Conclusions Some areas of the environment saw significant positive changes after the initiatives were completed. The silos, although they are still there, are much less in evidence. Internal communication has become much more effective, and many of the communities are collaborating with each other and creating new product offerings together. Articulating the real value of these initiatives is an ongoing challenge. The derived value typically tends to be intangible, and often it is not what revenue-focussed executives expect. In a taskorientated environment such as the IM division, where most of the discussions are centered on data and systems, conducting a Cynefin intervention based on exposing and addressing softer issues, was a definite challenge. A big frustration for the project team was that, despite the fact that the majority of the participants could see the value that the initiatives brought to the division; very few of them could clearly articulate that value. Simply creating a forum where decision makers and staff could discuss these issues made a big difference, but how does one place a value on such a discussion? Subsequent to the initiatives mentioned in this case study, the project team conducted interviews with key stakeholders to get their perspectives of the value of these initiatives, and to gain a view of how they’ve experienced participating in a Cynefin project. The overall feeling was that a lot of value was derived simply from participating in the process. Key points that were raised include: • Participants generally indicated that most of their expectations were met. They found that the SNA provided them with a view of the organisation that they’ve never considered before and they felt that the method had the capability to expose the root causes for many of the existing problems in the environment. (Reads difficult, especially the first fragment after the bullet.) • They were concerned that in some cases the results of the community SNA weren’t granular enough and expressed an interest in investigating the implementation of an individual SNA in the environment. • A general feeling was that the biggest value of the SNA and the Cynefin Categorisation was the creation of a general awareness of the underlying issues, and that this awareness led to sub-conscious behavioral changes that are difficult to articulate. • The discussions that occur as part of the sense making process already lead to changes in behaviour and therefore changed the system. • SNA highlights key areas to focus on to change behaviours in the system. • Cynefin interventions provide a different perspective – focusing on softer issues and providing a mechanism to deal with those issues. In task orientated environments this is especially valuable as it assists leaders to influence the culture in their environment. 99 Addressing Communication Silo’ s using Complexity Techniques and Social Network Analysis The Cynefin methodology is very different to other traditional consulting methods. One of the main differences (and a key strength) of the methodology is that it isn’t based on attempts to prove a predetermined hypothesis. Often when we conduct an initiative to prove such a pre-existing hypothesis, we end up not seeing the real problem, because we try to interpret the findings in such a way as to prove our own thinking. Cynefin methods allow the real issues to emerge from the environment, and as such provide a platform to air issues that may otherwise have remained hidden. Because the approach is unfamiliar and different, participants usually receive it very positively and it definitely assists in getting to the root cause of complex issues. Because the process is often ambiguous, the risk of people ‘gaming’the process to ensure desired results is minimised. Cynefin remains a difficult concept to sell, especially because of the difficulty in measuring tangible benefits. In subsequent projects, we’ve ensured that stakeholders are aware that most of the benefits will be intangible right up front. We’ve recently started a project where we hope to use SNA and other Cynefin methods to address high levels of staff attrition in another area of the bank. In this instance we hope to be able to show real tangible benefit. Practical Tips and Key Lessons: • Key measurements should be agreed up front to make sure that value derived can be quantified. If the derived benefits will be mostly intangible, make sure that stakeholders agree to this up front. • A high-level sponsor is needed to ensure 100% staff participation, SNA results may be skewed if there aren’ t enough participants. • An SNA should never be done simply for the sake of doing it. A real business problem must exist, and the SNA questions must be tailored to elicit information specific to the problem. • Never forget the context –if an SNA was run to determine the knowledge network, don’ t extrapolate the graphs to give cultural insights • Be prepared for contentious results –often the communities don’ t like what they see in the graphs • Be careful who the results are communicated to, they can easily be used to further someone’ s own agenda –this is especially true when doing an individual SNA. • Similarly, care must be taken when communicating perspective bias results. Some people may try to assign a value to a specific domain bias, e.g. communities with a complex bias are better than communities with a simple bias. This is completely untrue, as no Cynefin domain is more desirable than any of the others and for an environment to operate efficiently it needs resources that are comfortable in each of the domains. • Participants were frustrated by a lack of accountability to take forward the suggested initiatives that resulted from the SNA. To address this issue, agree upfront that business will own the results of the initiatives and specify who will be responsible for the implementation of initiatives that fall into certain areas. E.g. People Management or HR will take forward all Culture related issues, KM will focus on Knowledge initiatives, etc Acknowledgements The author would like to acknowledge the following people for there contributions to this case study: Dave Snowden, Zachda Prinsloo, Roy Lottering 100 Real-Life Knowledge Management: Lessons from the Field References Snowden, D. (2005) “From Atomism to Networks in Social Systems”, The Learning Organization, Special Issue ‘Knowledge Sharing’, Vol. 12, No. 6, 2005, Peter A.C. Smith(Ed.) Snowden, D. (2002a), “Complex Act of Knowing: Paradox and Descriptive Self Awareness”, Journal of Knowledge Management, Vol. 6, No. 2, pp. 100 –111. Snowden, D. (2002b), “Just in Time Knowledge Management”, KM Review, Vol. 5, No. 5, pp 1418; and Vol. 5, No. 6, pp 24027 Cross R., Parker A. (2004), The Hidden Power of Social Networks, Harvard Business School Press, Boston, Mass. The Cynefin Centre, http://www.cynefin.net Author Biography Sonja Blignaut is a Certified Cynefin Practitioner with application experience in areas such as Social Networking, Corporate Culture Transformation, Knowledge Management and Customer Experience. She is an experienced facilitator and is skilled at guiding groups through complex sense-making processes. Sonja has a degree in Meteorology and earlier experience includes consulting around Enterprise Content Management Solutions and Portals. 101 6 Beneath the Surface of Conscious Patterns: Using Narrative to Characterise the Culture of Innovation at a Leading R&D Organisation Gillian A. Maree Dirk J. Roux Mario A. Marais Real-Life Knowledge Management: Lessons from the Field Beneath the Surface of Conscious Patterns: Using Narrative to Characterise the Culture of Innovation at a Leading R&D Organisation Gillian A. Maree, South African Council for Scientific and Industrial Research (CSIR), (gmaree@csir.zo.za) Dirk J. Roux, South African Council for Scientific and Industrial Research (CSIR) (droux@csir.co.za) Mario A. Marais, South African Council for Scientific and Industrial Research (CSIR) (mmarais@csir.co.za) Abstract Knowledge is a core asset for the CSIR and a direct determinant of the organisation’ s relevance. A change process currently underway aims to reemphasise the strong R&D base in line with the organisation’ s mandate. Strategic management of innovation is both a social and key business process for converting knowledge into value. Projects typically entail a high degree of new knowledge generation, as opposed to repackaging existing knowledge. Human skills and knowledge remain the primary limiting resource. Most work is multi-disciplinary and project teams are assembled by drawing experts from a number of organisations. The challenge is to effectively leverage knowledge towards innovation excellence, and to achieve this, it is necessary to understand the prevailing culture associated with innovation. This chapter provides insights into the use of narrative techniques to uncover behaviours, themes and archetypes beyond everyday conscious patterns of recognition. The objectives were to explore the usefulness of narrative techniques for making sense of complex social processes, and to gain insights into cultural issues surrounding innovation. Aspects investigated include understanding the current underlying organisational values and how narrative techniques can help understand these complexities. Outcomes from this exercise support the CSIR change process. Main findings include ten archetypes for innovation namely the: Clumsy Puppy, Couch Referee, Courageous Captain, Bright-EyedBushy-Tailed Researcher, Inspiring Coach, Intellectual Maverick, Intrepid Explorer, Meticulous Bureaucrat, Narrow-minded Nitpicker and Willing Victim. Key issues that emerged are the client-scientist relationship, the value of mentoring, and a culture that may value beaurocratic behaviour at the expense of innovation. Keywords: Narrative techniques, culture, innovation, archetypes, values and themes, change process 105 Beneath the Surface of Conscious Patterns Background Narratives connect ways of knowing with ways of organising (from Patriotta, 2003, pp 353). Industrial Context The South African Council for Scientific and Industrial Research (CSIR) was founded in 1945, and has developed into the largest research-based science and technology organisation in Africa. The CSIR aims to provide science and technology services and/or solutions to a variety of stakeholders in both the public and private sector through a portfolio that includes: • Research, development and implementation • Technology transfer and assessment • Scientific and technical education and training • Policy and strategic decision-support • Global science and technology links • Specialised technical and information consulting • Prototyping and pilot-scale manufacturing • Commercialisation of intellectual property, including venture establishment The NRE Unit (Natural Resources and the Environment) is one of the core business units within the CSIR. It focuses on environmental research to support sustainable development within the context of national priorities and global challenges. The vision of the CSIR’s NRE unit is to conduct worldclass, directed interdisciplinary research and technological innovation, with partners and stakeholders, in the fields of natural resources and the environment to contribute to the social, economic and environmental improvement of South Africa and Africa. This is achieved by undertaking research in areas of mining, forestry, pollution and waste, water resources, resourcebased sustainable development and ecosystems. Currently there are approximately 258 researchers employed within the NRE unit. Knowledge has always been a core asset of the organisation, and is a direct determinant of the organisation’s relevance. Strategic management of innovation is seen as both a social and a key business process for converting knowledge into value. The CSIR defines knowledge simply as the capacity for informed action (Roux, 2004), which is closely related to definitions provided by KarlErik Sveiby, namely a capacity to act (Sveiby, 1997); and Ross Dawson, namely the capacity to act effectively (Dawson, 2000). For the purpose of this chapter, innovation is defined as “an idea, practice, or object that is perceived as new by an individual or other unit of adoption” (Rogers, 1995). CSIR strives to facilitate effective transfer of innovation, where the adopter has both the absorptive capacity (understanding) as well as the emotional and financial commitments to allow sustained use of the acquired knowledge. Note that while this case study subsequently refers to the CSIR, the research was confined to the NRE unit. Problem Current reality within CSIR NRE Unit is that typical projects entail a high degree of new knowledge generation as opposed to repackaging or reusing of existing knowledge. Projects often draw on a variety of specialist skills, necessitating project teams that draw experts from both within and outside the organisation. Availability of human skills or knowledge is seen as the primary 106 Real-Life Knowledge Management: Lessons from the Field constraint to achieving business objectives. Flowing from these realities, a key business imperative is to attract and retain key talent, but also to effectively utilize internally (within the CSIR) and externally (outside of the CSIR) available knowledge. An overall challenge facing the organisation is to effectively leverage human skills or knowledge towards innovation excellence. It is increasingly acknowledged that an organisation cannot manage knowledge per se (Snowden, 2003; Ungerer and Roux, 2005; Davenport and Prusak, 1997 and Denning, 2002) rather it is the processes and tacit aspects that require management attention. Furthermore, Snowden (2003, pp 24) believes that knowledge is both a thing and a flow that requires organisations to focus more on context and narrative elements of knowledge (caters for tacit features) than content; ‘… human knowledge is deeply contextual –it is triggered by circumstance’. It should be noted that the larger the organisation, the more difficult it may be to clearly distinguish patterns in a complex, social space (for example related to innovation). While leadership skills are not necessarily control orientated, they are about trying to create order, and leaders need to sense and respond to the emerging organisational patterns from observation and experience. Leadership responses may include the encouragement of patterns perceived to be favourable and discouragement of patterns perceived to be unfavourable. Snowden (2003) sees knowledge management as being informed by complexity and not constrained by it, recognising the differences between content, context and narrative management. The implications for organisations of this are that certain types of knowledge (particularly context and narrative) can not be elicited or managed by traditional techniques. The assumption behind using narrative techniques is that innovation within the organisation has happened in complex space, that is; patterns of knowing can only be recognised in retrospect. To avoid ending up with “the same old answers”, narrative techniques and storytelling can be used to uncover values, issues and characters or archetypes beyond the everyday conscious patterns of recognition. For example, anecdotes represent a source of unguarded information, which may not surface through question and answer techniques. Typically, patterns that emerge from the anecdotes differ from the answers that people involved in innovation may give if asked to fill in a questionnaire or during an interview. This rationale has led to a narrative enquiry into the patterns that characterise innovation at CSIR, the outcome of which provides a baseline from which to influence behaviour, lead change, share knowledge and guide decisions regarding CSIR’s future direction. Learning Objectives: • To investigate or explore the usefulness of narrative techniques for complex social processes • To uncover the archetypes present in innovation at an R&D organisation and understand where they add value or hinder innovation • To uncover the dominant themes associated with innovation and creativity within a research environment • To understand the cultural complexities surrounding innovation at CSIR NRE Approach James and Minnis (2004) believe that the more intricate organisational knowledge is, the less effectively it can be codified. Stories provide examples of nuances that otherwise may be difficult to write down and may even remove some ambiguity and make meaning more clear. Further benefits of organisational storytelling include: allowing people to track or benchmark their own behaviour 107 Beneath the Surface of Conscious Patterns and theories; generating new knowledge and ideas; obtaining a deeper understanding of underlying cultural issues; providing a means of communicating possibly difficult issues in a non-threatening manner; allowing a far greater depth and texture of knowledge to be conveyed; and using anecdotes to provide repositories of accumulated wisdom (Mitchell, 2005, Patriotta, 2003, Snowden, 2001b). Within an organisation work occurs in a complex social environment where anecdotes (for example told around the photocopier or during a coffee break) allow people a means of distilling information on behaviours and values that influences attitudes and shape the prevailing culture. Narrative enquiry can be used as a mechanism to organise human cognition and make sense of multiple signals present in organisational anecdotes (Snowden, 2001a). This study made use of two techniques developed by the Cynefin Centre for Organisational Change, namely: • Discovery technique: Anecdote circles were used to facilitate the informal sharing of experiences by participants within a peer group. An anecdote is a real life account of an individual's or a community's experience. It is usually unstructured, simple, conveys various values, messages and rules, and is told from a particular perspective. Anecdotes are associated with a historical event or experience and as such have a time imprint. Anecdotes differ from stories in that they are based on facts and real experiences, where stories reflect altered realities and carry a specific message (Snowden, 2003). • Sense-making technique: Two-stage emergence was used to extract emergent constructs (Values, Themes, and Archetypes) from the outputs (anecdotes) of the anecdote circles. The first stage uncovers ordered properties from the outputs (characters, issues and behaviours), and the second stage reveals unordered properties culminating in the archetypes, themes and values. Case Analysis “The real voyage of discovery consists not of seeing new lands but in seeing with new eyes”Marcel Proust (quoted in Snowden, 2004, pp5) During November 2004 two anecdote circles were held, the aim of which was to capture anecdotes and experiences of participants relating to innovation. A total of 20 senior researchers were selected to participate in this exercise because of their levels of experience and represented three different geographic locations (Pretoria, Stellenbosch and Durban). Divided into two groups the researchers sat in informal circles and told anecdotes of their experiences of innovation from various projects and contexts. Using an informal setting (an open plan lounge area with bean bags and snacks) created a comfortable environment conducive to sharing of stories. Each session was facilitated by a member of the facilitation team familiar with the Cynefin techniques and was supported by a young researcher. It was emphasised that an anecdote should focus on an experience and not on opinion or personal knowledge. During the anecdote circle, a number of pre-determined open and prompting questions were asked by the facilitator upon which the participants self-selected the order in which the anecdotes were shared. Anecdotes were recorded with a digital recorder and manual notes. The collection of anecdotes was captured in a narrative database, following a protocol that allows future extraction according to themes, issues, characters, emotions, behaviours, and etcetera. One of several uses of this narrative data is to, through a further facilitated session, extract organisational archetypes, emerging themes and emerging values, which in turn may be used to inform organisational strategies and change management. This discovery phase resulted in 144 anecdotes being captured which became the basis for a twostage emergence workshop held in March 2005. A new set of 14 participants worked together to extract the character attributes, behaviours and issues from the anecdotes. A new set of participants 108 Real-Life Knowledge Management: Lessons from the Field were selected to provide further diversity in the participants and further interpretation of the stories. The participants followed a facilitated predetermined process allowing the attributes to become archetypes, the behaviours - values and the issues - themes. A cartoonist was present during the later stages who, with no prior briefing, sketched the attributes of the archetypes according the discussions. The final step in the process was to populate the narrative database that examined each of the original anecdotes for the extent to which the archetypes, values and themes were present. The data were captured by using participants from the two-stage emergence workshop working in pairs. The data were then analysed in order to determine any emerging trends. The sense-making stage yielded ten archetypes, twelve themes and fourteen values associated with either supporting or hindering innovation at the CSIR. Results and Business Impacts “Narrative is the way human beings actually manage to understand and interact with other human beings in the world … if you want to understand the world of human beings –and organizations are fully of human beings –you’ve really got no choice. You have to understand narrative” [own emphasis] (taken from Denning, 2002, pp18). Results The Archetypes Ten archetypes that characterise innovation resulted from the narrative process namely the: Clumsy Puppy, Couch Referee, Courageous Captain, Bright-Eyed-Bushy-Tailed Researcher, Inspiring Coach, Intellectual Maverick, Intrepid Explorer, Meticulous Bureaucrat, Narrow-minded Nitpicker and Willing Victim. The cartoon drawings of the archetypes are provided below with explanatory text of their typical attributes. The archetypes were developed during the two-stage emergence workshop, and the method allowed the final archetypes to be mapped back to the characters that were contained in the original anecdotes. Each archetypes attributes was mapped back to the characters captured within the anecdotes. The text box shows the original characters the archetype is composed of. As each archetype is composed of a number of characters, only the dominant characters (those that constitute at least 60% of the archetype) are shown. As an example, 29% of the students and/or learners in the anecdotes are associated with the Clumsy Puppy Archetype. 109 Beneath the Surface of Conscious Patterns The Clumsy Puppies are new recruits with little working experience and always raring to try new things. They are most in need of support, mentoring and are dependant on more experienced staff for nurturing and skills development. Once they overcome their insecurities and given the space and opportunity to learn, the Clumsy Puppy can be a valuable contributor. However, in their enthusiasm a Clumsy Puppy may not listen well and will need constructive feedback from others to build their confidence. Clumsy Puppy character composition: The Couch Referee is a ‘know-it-all’ who believes things would have worked out if only s/he was listened to in the first place. This is the type of person who can be heard saying; “I told you so!” Couch Referees are more often than not negatively perceived by colleagues who see them as demanding, insensitive and arrogant, with unrealistic expectations. The Couch Referee on the other hand, feels that no one listens to them or values their inputs enough. Couch Referee character composition: Clients - 45% Scientists - 22% The Courageous Captain is enthusiastic, inspirational and forward looking. His or her energy, dedication and strength of character afford many followers and is likely to be heard saying; “Right everyone, follow me I know where we need to go… ” Self motivated, energetic and appreciated for being reliable, the Courageous Captain is generally optimistic and unperturbed by what lies ahead on the horizon. Within the CSIR s/he is seen to have access to funding and great research projects. The Courageous Captain is the subject of many an organizational story and these stories are likely to take on mythical status. Courageous Captain character composition: 110 Achievers - 39% Followers - 23% Students and Learners - 29% Followers - 14% Scientists - 14% Real-Life Knowledge Management: Lessons from the Field The Bright-eyed Bushy-tailed Researchers are young, enthusiastic, goal orientated people. They can be relied upon to achieve results, organise and get things done. This does tend to pull them into managerial and operational tasks (as opposed to research). The Bright-eyed Bushy-tailed Researchers tend to be highly productive over-achievers who continually move their own goal posts. However, as a result of their management tasks they are often office bound and don’t get to see the bigger research picture. Bright-eyed Researcher character composition: Managers - 46% Leaders - 18% Achievers - 18% The Inspiring Coach is a true team player and the organizational cheerleader! This is a people-person who is supportive and committed to making a team successful. An Inspiring Coach adds value by providing support where it is needed, focusing on a common goal and having the ability to accept criticism. Sharing knowledge and communicating is important to an Inspiring Coach. While acknowledged as an achiever, the Inspiring Coach likes to have a hands-on approach to getting things done. An Inspiring Coach tends to multitask, but always remains committed to the team. Inspiring Coach character composition: Team member - 19% Achiever - 19% Follower - 19% 111 Beneath the Surface of Conscious Patterns The Intellectual Maverick is a visionary who has insights into the bigger picture and a broad spectrum of knowledge to draw upon. S/he is a lateral thinker who enjoys the challenge of solving complex problems. Intellectual Mavericks love a challenge and are not afraid to take risks. New, original ideas often come from Intellectual Mavericks and they will focus on an idea until it is conceptualised to a manner that they feel can be passed on to someone else to take further. An Intellectual Maverick is seen to have strength of character and key insights to the market. Intellectual Maverick character composition: Achievers - 15% Analyst - 15% Scientist - 15% Leader - 15% Intrepid Explorers love to explore new directions or ideas and are creative, lateral thinkers. They have an adventurous spirit and love a challenge. Where the Intellectual Maverick is not afraid to take risks, the Intrepid Explorer is not afraid to take the initiative and make the first move. The Intrepid Explorer gets bored easily and constantly needs new stimuli in his/her environment. Colleagues see the Intrepid Explorer as arrogant, individualistic, opinionated and complex. In top form an Intrepid Explorer could be heard saying; “Guess what I just discovered … I bet you couldn’t!” Intrepid Explorer character composition: Innovator - 38% Scientist - 38% The Meticulous Bureaucrats are perfectionists who like to focus on details and are painstaking particular with their work. Unlike many of the other innovation archetypes they are driven by targets and deadlines and are analytically minded. Come what may, a Meticulous Bureaucrat will deliver their work on brief, on budget and on time. A Meticulous Bureaucrat will clash with others, get involved in organisational politics and is not easily swayed from their values. S/he is easily stressed by errors or change. Colleagues see the Meticulous Bureaucrat as dictatorial and inclined to sabotage. Meticulous Beaurocrat character composition: 112 Analyst - 19% Family - 19% Real-Life Knowledge Management: Lessons from the Field The Narrow-minded Nitpicker is detail focused with a very narrow perspective on what is acceptable or not. They prefer to operate alone or in a silo, do not communicate well and generally have a low morale. A Narrow-minded Nitpicker will work hard on micro-task details, which is seen as selfish or non-value adding work by bigger picture thinkers. Colleagues perceive the Nitpicker as lacking commitment to the organization or team and selfish. The Narrow-Minded Nitpicker is the archetype that displays the most negative qualities. Narrow-minded Nitpicker character composition: Victim - 33% Follower - 17% Analyst - 17% Willing Victim is the gloomy person who feels sorry for him- or herself. S/he believes that his or her contributions are never adequately acknowledged or properly appreciated. A Willing Victim is pessimistic and quick to pass blame. Colleagues see the Willing Victim as egotistical, overly critical and generally naïve to larger issues. The Willing Victim will not take the initiative or volunteer an idea as they believe that their inputs will not be appreciated anyway. Willing Victim character composition: Victim - 46% Innovator - 16% The Intrepid Explorer was by far the most common and strongest featured archetype in innovation anecdotes, followed by the Intellectual Maverick. While the impact of the Bright-eyed Bushy-tailed Researcher is not as great, the archetype is featured consistently throughout the anecdotes. The least frequent occurring archetypes are the Narrow-minded Nitpicker and the Willing Victim; however the Willing Victim is the only archetype to score high on project management, an important part of leveraging innovation. Many of the archetypes share similar weaknesses and strengths, for example, effective transformation is consistently weak. It is interesting to note that while transformation is a core organisational theme results this exercise indicate that innovation is probably not the most effective ‘home’to achieve transformational goals. However, mentoring has been shown as a key aspect of successful innovation. The highest ranking archetypes (Intrepid Explorer and Intellectual Maverick) are role models for innovation and the type of characters around which coffee table talk and mythical stories form. For this reason showing support for the Intrepid Explorer and Intellectual Maverick types could assist in initiating and gaining support for implementing transformation. 113 Beneath the Surface of Conscious Patterns Themes and Values Anecdotes extract shared views and meanings for a community (Patriotta, 2003). From an organisational culture perspective these shared worldviews are important to understand the common features of an organisation’s culture. For learning to be most effective a certain degree of overlap in understanding is needed (James and Minnis, 2004; Roux and Claassen., 2005,) and sensemaking of the anecdotes helps understand where these overlaps may be. The tables below show the outcomes from the themes and values emergence process. Themes Scientific integrity Effective communication Leadership 4 Stimulating creativity and innovation Top es m Manage staff turnover the Effective transformation Appropriate reward and recognition Branding and corporate image Effective project management Effective Systems and structures Value your staff Defining and implementing a common objective Values Systems that encourage the right behaviour Endorsing the right values A knowledge enabling environment 5 A positive learning culture Top es u Val Open and effective communication Accepting or tolerating under performance Lack of a project management imperative Management focus on power and bottom line to the expense of innovation Personal ownership of career development Good performance management Organisational commitment to creative space Organisational commitment to understanding and responding to motivational needs Roles and responsibilities are clearly aligned and communicated Promoting positive team dynamics The most notable feature from the themes and behaviours is that they are consistently very positive. It became clear during the sensemaking phase that the results, particularly for the values, show 114 Real-Life Knowledge Management: Lessons from the Field some manipulation to reflect what should happen for successful innovation and not necessarily what did happen. It is interesting to note that during the emergence workshop people were the least comfortable grouping the values for likeness and continually tried to rather group according to what they thought the outputs should reflect. The facilitation team noted that the level of discomfort among the participants to group values for likeness resulted in a tendency to try and pre-empt the outcomes. For this reason the archetypes will remain the focus of this chapter, and not the values and themes. However, in this context it is worth noting the results and the observations. A dominant theme in the anecdotes is an obvious one: ensuring the ability to stimulate creativity and innovation. Other dominant themes include effective communication, leadership and scientific integrity. Interestingly, the ability to manage staff turnover, effective transformation and appropriate reward and recognition do not feature strongly, yet these top the list of organisational level goals. The results showed that the strongest values for innovation are open and effective communication, having a positive learning culture and creating a knowledge-enabling environment. The least frequent values are the negative values of lacking a project management imperative and accepting or tolerating underperformance. Effective communication is shown to be very important for innovation, ranking high as both a value and a theme. Put differently; the results indicate that if you want successful innovation you need a culture that values and encourages the sharing ideas through effective communication mechanisms. Communication is important for sharing knowledge and leveraging ideas into something ‘do-able’. There are very few anecdotes that tell of an experience where innovation happened because someone did not want to share an idea for fear of lack of recognition or losing control. Sharing and communicating across teams was a clear theme throughout the anecdotes captured. The text boxes below show excerpts from the anecdotes. Quote on the value of experiential learning… “When you get a heart bypass you don’t pay for the hours that the doctor works on you; you pay for the hours that he spent learning and working on other people. “ Anecdote on reward and recognition… “After we completed a huge EIA [Environmental Impact Assessment], one of the vice presidents indicated that they wanted to reward the team appropriately. As project manager I got up and said: ‘I think you can't do better than just give us the space to go on a game drive. That will reward our families as well for having put up with us.’ We were then allowed to spend a week at the Victoria Falls. Our families joined us for two days and stayed for free. The core team was there for a couple of days afterwards. It was the best reward they could have given us.” Key Findings In general, outputs from the sensemaking process reveal a number of interesting issues which are characterising innovation at the CSIR NRE unit. This section provides a brief overview of the key findings and concerns. 115 Beneath the Surface of Conscious Patterns It is important to note that the values, themes and archetypes identified arise directly from the anecdotes and thus the actual experiences of staff. While there may appear to be certain gaps in the list, this is because these issues did not arise strongly from the anecdotes and is an indicator of those values that pattern entrainment tells us should be a part of innovation, but may be rarely practiced in the organisation. Snowden (2003) believes that an individual builds his or her own patterns through learning processes and experience which enables him or her to understand complex situations and thus make decisions when surrounded by uncertainty. The anecdotes collected for this exercise point to uncertainty and risk being present in an innovation environment, where previously existing patterns are broken in order to form new ones. Pattern entrainment in communities can result in ‘group-think’ and the unwillingness for a particular community to recognize or accept patterns outside of their own paradigm (Kurtz and Snowden, 2003). Retrospect and internalization of experience, is a good collector of patterns. Individuals that participate in a project contribute their own personal experiences and patterns to processes of innovation. The following discusses how the archetypes for innovation each contribute to an innovation environment. A Space for Innovation The CSIR case study revealed a number of archetypes that raise concerns for innovation practices namely: the Coach Referee, the Willing Victim, the Bright-eyed Bushy-tailed Researcher and the Intellectual Maverick. A key issue emanating from the outputs of this exercise is the client-scientist relationship. To demonstrate, the Couch Referee archetype comprises 45% of the client character. From a Couch Referee you are most likely to hear ‘if you had just listened to me in the first place we would not be in this situation.’Understanding exactly what the client wants and can use effectively is critical to the success of any project and requires good listening and interpretation skills; which are lacking in some of the archetypes (notably the Couch Referee, Intellectual Maverick and the Intrepid Explorer). Extract from an anecdote: “Having finished the project the client rejected all the solutions in our big report because he said it would be too complicated for the people to understand.” The results point to issues where clients may have trouble relating to scientists and getting them to listen and understand to their needs. This may mean that new ideas or solutions may either not be tailored to the client’s actual needs, or they can be overlooked. Furthermore, if the automatic reaction to a client is a negative one, and the client is seen as interfering, the likelihood of successful innovation is limited. Active engagement and conversation between the client and scientist is necessary for successful innovation. 116 Real-Life Knowledge Management: Lessons from the Field An anecdote on success… “We were having problems relating to our client. During a discussion about why the project was not running smoothly we were surprised at one of the key things that the client insisted on, namely that we work from their offices. He asked how we can understand our clients when we don’t experience their working environment firsthand –and the suggestion was to work for a year in their environment to learn how they do things and get a better sense of how we can deliver value into that environment.” At first glance the Bright-eyed Bushy-tailed Researcher represents the young scientists eager to contribute ideas and work hard at tasks; someone you most likely would want in your team. However, closer examination of this archetype revealed that two thirds of the characters that make up this researcher archetype are the manager and leader. The concern this raises is that a situation may exist where staff that are young, inexperienced and in need of mentoring and growth from senior scientists, are taking on managerial tasks. This reflects a situation where enthusiastic new researchers in the organisation are pulled into project management and administrative tasks and not primarily into R&D activities. These findings are in line with developments within the CSIR where concern for the development and growth of young researchers at the CSIR has led to the establishment of a Young Researchers Forum and funding is set aside specifically for skills development of young researchers. A recent survey of young researchers to determine what the necessary skills were that they needed to develop revealed a strong demand for practical experience on research projects to grow their basic science skills and opportunities for networking and linking to other leading scientists. Anecdote… “It is a disheartening thing; you can so easily get caught up in politics. You then try to keep to the rules so much that you forget what you are [employed] there for.” While a Clumsy Puppy is likely to volunteer for a task they need to be paired with a strong mentor to guide them. Due to their presence and standing within the organisation the Intellectual Maverick and Intrepid Explorer archetypes are likely to include a number of the mentors. However, if a particularly sensitive mentee is paired with the less sensitive archetypes (like the Intellectual Maverick or Intrepid Explorer below) this may develop into a destructive relationship where the Clumsy Puppy may become despondent and lose their enthusiasm. The short anecdote below demonstrates how this can occur. 117 Beneath the Surface of Conscious Patterns Anecdote told by a Clumsy Puppy about his/her mentor the Intellectual Maverick… After a lot of hard work and I had finished writing up the report I asked him [mentor]: “What do you think?” He stared into the distance and said; “I am really worried about this project.” And then I panicked and thought there must be some fundamental design fault. “Where did I go wrong? Did I misconceptualise [sic] the whole thing? Was there something wrong with my science procedures? “ All of this went through my mind, as he remained silent. The Willing Victim archetype shows that within the CSIR there might be a lack of recognition and respect of those people with new ideas (16% of the Willing Victim comprises the Innovator character). There is a danger that the organisation may be rewarding bureaucratic behaviour and not the true lateral thinkers. The Intellectual Maverick, while showing a strong tendency towards innovative behaviour, does, however seems to be very scheming and is not perceived favourably. The Maverick likes to set him or herself apart from everyone else and is not worried about being unpopular or disruptive to a process that they might not agree with. This may lead to suppressing or holding back good ideas by less confident and outspoken staff. A further trend seen in the archetypes is that the scientists are seen to be working towards achieving the greater good in contrast to the management types who are seen as bottom-line driven and hindering the innovation process. The very strong positive bias in all the outputs paints a very rosy and probably skewed picture, of innovation. This positive approach may be masking a reality where people might be conforming too easily and even suppressing new ideas to maintain the current status quo. Many of the answers or results from the values and themes show standard answers and there may be fear to tell the truth or unconscious adherence to the ideal picture. Myth and Fable Anecdotes play a large role in building institutional memory and there are certain stories that most people know or have told themselves. These are typically the stories that new people joining the organisation are exposed to early on in their employment. Some of these stories have been around in different forms for many years and have developed mythical status. These stories carry messages about the values and behaviours that the organisation strives for. Mythical stories are important to identify as they point to important cultural systems that are subtly embedded in the organisation (Snowden, 2001b; Denning, 2002; and Kurtz and Snowden, 2003). As mythical stories grow and develop they become rich in metaphor and emotion and though they will be told by many story-tellers, certain phrases will remain and become rooted in the lingo of an organisation. While all the anecdotes captured were kept anonymous, many people involved in the process could easily identify the people from some of the stories as they had often heard the stories many times before. An emerging thread from these stories is that they are emotive, rich in metaphor, often scornful and self-reflecting. What binds the story together is the message which is mostly about bucking the system, learning through doing and taking chances. It is worth noting that in many cases these specific stories are about unease or dissatisfaction in the way things are done, rather than supporting organisational processes. 118 Real-Life Knowledge Management: Lessons from the Field A key lesson learnt is to keep to the facts of the anecdotes as much as possible as people will easily pick up subtle changes from the version they are familiar with. An example of a mythical story in the CSIR is provided in the box below. This story is told to demonstrate a number of values in the CSIR. First, the story highlights the value of experiential learning of a scientist; the problem could not have been solved without having had so many years of experience. Second, that innovation and value can not be measured by filling in timesheets to account for time. This is a story told often within the organisation and supports the message from the archetypes where emphasis and pressure is placed on scientists to make money; a message that can be in conflict with the time and space needed for good quality research. “A few years ago one a senior scientist who has been working at the CSIR for many years doing research into water resources was urgently called out to a mine to have a look at a water quality problem they were experiencing. This scientist was able to understand the problem and suggest a solution within a few minutes and without too much trouble. The client was very happy as the solution could be easily and cheaply implemented. When the time came for payment the scientist suggested that instead of paying the usual hourly charge out rate, the client should pay a small fraction of the savings they had achieved by implementing the solution. The client was only to happy to agree to this arrangement, resulting in a good day for all.” Working Relationships An aspect that came out of the anecdotes told during the anecdote circles were the values around ‘how we treat each other’; particularly relating to relationships between co-workers, mentors and mentees, as well as between managers and subordinates. Many of the anecdotes were not related to innovation per se, but rather to creating the space for a new recruit (e.g. Clumsy Puppy) to pair up with a more experienced scientist (typically the Courageous Captain or Intrepid Explorer). These anecdotes less frequently related to the Intellectual Maverick who prefers to work on ideas independently and who may intimidate or discourage juniors. Many of the anecdotes where the Intellectual Maverick was present relate to conflicts with management or administrative systems and procedures. The Intellectual Maverick is the archetype most likely to clash or rebel against organisational systems. Anecdote about the Intellectual Maverick: “A key part of my research plan indicated the need for mathematical modelling and physical limnology skills that were not available in our group. No one else saw the scientific value of doing the work on this system, so I decided that I would do the work myself. I worked out a suitable sampling and measurement program and borrowed the equipment I needed from local universities and consulting firms. I ended up doing the work in my own time over weekends as the research managers saw no technical value in the work. By the end of the study I had published 5 papers in international journals, made 3 international conference presentations, and in a four year period I had received requests from over 100 overseas guests visiting our institute to be taken on a guided tour of the study site”. 119 Beneath the Surface of Conscious Patterns Anecdote about the Clumsy Puppy: “I remember right at the beginning of my career going on a project field trip with a Marine Biologist and a Coastal Engineer (both PhDs) to a bridge at the mouth of the Kromme Estuary. Then, while standing on the bridge, this engineer and biologist started arguing for about an hour and a half about how the mouth dynamics of the whole system worked and should they dredge the estuary or not. Each had his own perspective and could not get the other to agree with their understanding of the problem. They were making such a scene yelling at each other that a bunch of people stopped to watch what was happening. I just stood staring at them; my eyes were big because they were at the point of being quite abusive of each other arguing their points. Eventually they resolved their problems, shook hands and went off for a beer! Looking back, at that point in my career it was a wonderful experience for me to learn about how these estuarine systems work from the two very different perspectives of an engineer and biologist.” A further point that the anecdote about the scientist working on his own demonstrates, concerns the conflicts that arise between scientists driven by ideas and the managers responsible for managing the organisation. This shows the culture of “us versus them”that has developed and which can, and has, lead to conflict. The archetypes highlight the value and necessity of mentoring and peer support in innovation processes. It is interesting to note that this is not followed though in the values or themes. Stories about taking personal ownership of one’s career are most closely associated with the young researcher taking initiative on his/her own and not pushed or driven by a mentor or leader. Stories of leadership speak mostly to someone who was willing to interface with management structures or clients. Business Impacts Impact can be achieved through the use of effective communication techniques to disseminate the results. The cartoons of the archetypes have impact as they provide a non-threatening mechanism for staff to see a small part of themselves in each of the archetypes. Archetypes are important KM tools as they allow complex adaptive systems (which organisations are) to be understood in a manner that does not involve expert interpretation (Snowden, 2001a). Anecdotes and the archetypes create role models and build a sense of identity. Furthermore the archetypes are useful as: • a representation of culture, • a means to understand customers, and • a means to bring two differing cultures together (situations of ‘us versus them’). (after Snowden, 2001b) This is supported by Patriotta (2003) who sees stories as an important component in an organisation discourse because they: • show how knowledge can be mobilised to deal with situations (i.e. ‘how we deal with things here’), • are connected to actual experiences and reveal common sense wisdom, and • are able to highlight shared worldviews. 120 Real-Life Knowledge Management: Lessons from the Field An important area of impact for the results is the change process currently underway in the CSIR. The aim of the process is to re-emphasise the R&D base in line with the organisation’s national mandate. Outcomes from this narrative case study largely support the change process at the CSIR, shifting focus toward strong innovation archetypes like the Intrepid Explorer. Aspects include processes to understand the current underlying organisation values and culture and narrative can add value to these complexities. Emerging Patterns Diversity in its multitude of facets has long been acknowledged as a contributor to organisational knowledge and innovation (Hill, 2004). Correctly managed diverse work groups can add value where homogenous groups never could. Having a diverse workforce means having to communicate key messages and values through a variety of media. The value of archetypes (as opposed to stereotypes) is that they resonate with a more diverse audience. Capturing anecdotes from people will allow organisational patterns to begin to emerge (Mitchell, 2005). These patterns can add value by allowing a deeper understanding of the cultural patterns of an organisation, how problems tend to be resolved, and can help describe the working atmosphere between colleagues. The archetype cartoons are intended to allow people to identify a small part of themselves in each cartoon, whether it is in retrospect or current experiences. For example, a senior researcher may have seen him or herself in the Clumsy Puppy when starting their career and now be able to identify more with another archetype like the Intellectual Maverick or Courageous Captain. While everyone should be able to identify with the archetypes most people will identify more strongly with one or two archetypes (Snowden, 2001a). The organisation is composed of a complement of all the archetypes that interact and work together on a daily basis. This section has tried to highlight what the possible impacts or benefits are for innovation of having these archetypes in the organisation. Some of the key patterns emerging from this exercise include: • The client-scientist relationship. Problems with client relationships and the communication gap that exists between the scientist and the customer. Some of the scientist-type characters are shown as always knowing better and clients as being angry and frustrated. • The very positive spin on the values and themes resulting from the emergence workshops point to a concern that staff at the CSIR are either unwilling or afraid to share their real feelings, or more likely, that the organisation has become smug. This is a perception that is often shared by non-scientists; cartoons depicting scientists often show them as aloof and arrogant. • There is a danger with the underlying bureaucracy that we may be rewarding bureaucratic behaviour and not the real lateral thinkers, at the expense of innovation. This behaviour might also be pushing the Bright-eyed-bushy-tailed Researcher into managerial tasks in an attempt to allow the more experienced scientists to free up some time for research work and to comply with the administrative requirements. Another interpretation is that the Brighteyed-bushy-tailed Researcher may be pulled into managerial tasks as the organisation may value and reward management behaviour more than innovation. From an organisational cultural perspective this points to a culture that values bureaucratic behaviour and may be suspicious of staff that pushes the boundary of what is considered to be acceptable behaviour. There is an encouraging trend of an organisation that values mentoring. This highlights the value that is placed on effective mentoring to achieve organisational goals. • 121 Beneath the Surface of Conscious Patterns Conclusions Within a South African context, storytelling is an important element of cultural heritage. Oral histories and the use of stories to communicate messages and values is an important component of South African society, and audiences are often very receptive and appreciative of a story. The use of narrative techniques allowed a number of the staff to learn about the value of narrative sharing in an organisational context. As this was a new technique a number of lessons were learnt. Key issues that arose include managing representivity and diversity of participants, techniques or ways of extracting meaning from the data and communicating the outcomes. While knowledge management is an essential part of the CSIR’s business, getting buy-in to the softer sides of knowledge sharing can be difficult. KM in CSIR embraces a human-centred approach where understanding culture and learning practices is important to grow the knowledge base. An additional KM activity is to entrench KM principles into business practices by developing strategies and plans for knowledge sharing and learning. Narrative has provided an additional tool in the KM toolbox. Through the use of a narrative technique to understand aspects of innovation experiences at the CSIR a number of issues emerged that require further exploration: • • • Client relationships and some exploration into the perceptions clients may have of the CSIR. This could be facilitated by running further anecdote circles with key clients who are willing to participate. The aim would be to gain different perspectives on how clients see innovation at the CSIR and whether new ideas are allowed to develop within the current systems. A further issue that surfaced was that the archetypes reflect perceptions of clients and of the organisation that differ greatly. There is also interesting differences between how the archetypes see each other. Value can be added by using techniques that allow people identifying with aspects of these diverse archetypes to examine how archetypes illuminate the sources of conflict and thus find creative ways of dealing with conflict. There are areas of highly successful and innovative environments in the CSIR that continually push boundaries, but there are also pockets of failure. By examining and understanding what makes the successful areas successful, learning can be transferred or implemented in the less successful areas. A key lesson from the exercise is that innovation can only happen when innovative behaviour is well-regarded, encouraged and enshrined in the organisational culture. People who contribute to successful innovations should be recognised for the particular value they add and the role that they play. As much as an individual may add value, they can equally destroy it if their particular abilities are incorrectly used. 122 Real-Life Knowledge Management: Lessons from the Field Practical Tips and Key Lessons: • Typically, literature on narrative techniques has shown that stereotypes are believed to exist in archetypes; however this exercise has shown that within an organisation strong biases may also exist within themes and values. For this case study, it was particularly evident when patterning values. The stereotype represents prejudices that exist, or the answers that people think they should be giving, versus those that they actually experience. Understanding the behaviours that make up organisational values is far less intuitive than understanding the characters present. • A great deal of value from narrative exercises lies in the sensemaking process. Lessons learnt during the sensemaking include: o Capturing all the data throughout the various stages. A great deal of data is generated (particularly through the two-stage emergence workshop) and it is valuable to account for all inputs that are made and to be able to map the results back to the original anecdotes. This allows one to link the outputs back to the original anecdotes that contributed to a particular outcome. o It is valuable to involve people outside of the organisation and project team to lend a fresh perspective and ask difficult questions which otherwise may not have been considered. An outsider will see different patterns emerging from the anecdotes. o The more diverse the range of participants, the more diverse the inputs and interpretations of the stories are. Here diversity relates not only to cultural and gender diversity, but specifically to diversity in terms of career development (e.g. an intern and principle scientist) and fields of specialisation (e.g. an engineer or ecologist). • For people to truly participate effectively they need to see the value in the exercise and benefit personally from it. Sharing anecdotes among participants adds value by allowing them to learn from one another’ s perspectives. • There are many stories (with subtle differences depending on the story teller) that most, if not all staff at CSIR NRE unit are familiar with even if the event occurred long before their joining the organisation. Many of these lessons on ‘ how we do things around here’will never be found in any organisational or orientation document, but are rather communicated to new staff through story. These stories point to networks of ‘ invisible processes’whose patterns and purposes may be elicited through stories. When these anecdotes are told, they are often told with high levels of vivid detail. • Most stories about successful innovation have shown similar ‘ take-homemessages’ : that great things can happen when you take a risk, learn from a mentor and challenge the existing systems if they hamper progress. • Innovation does happen when the boundaries of current paradigms are pushed. Many of the stories told relate to encountering problems or issues with current processes and new ideas were successfully implemented only when a new direction was taken. This however requires strong, determined archetypes who are prepared to take calculated risks. 123 Beneath the Surface of Conscious Patterns Acknowledgements The authors of this chapter gratefully acknowledge the guidance and assistance received by: Sonja Blignaut (IBM South Africa) and Dave Snowden (Cynefin Centre) for their valued insights and assistance with using the narrative tools. Estelle Botma and Marita Kritzinger of the CSIR for their facilitation of the workshops and hard work to capture the narrative data. Marius Claassen, Martie van Deventer, Pat Manders and Brian Moloi for reviewing the chapter. Rob Hooper for the archetype drawings. The many CSIR colleagues for sharing their stories and giving their time to participate in this process. References Davenport, T. H. and Prusak, L. (1997) Working Knowledge: How Organizations Manage What They Know. Harvard Business School Press, Boston. Dawson, R. (2000) Developing Knowledge-Based Client Relationships – The Future of Professional Services. Butterworth Heinemann, Boston. Denning, S. (2002) The Narrative Angle: The Seven Most Valuable Forms of Organizational Storytelling. A Managers Handbook on Narrative, Chapter 1: The Importance of Organizational Storytelling, (date accessed: 23 August 2005) www.line56.com/images/articles/ attachments/km0302.denning_ch1.pdf Hill, L. (2004) Diversity as a Function of Knowledge Transfer, Diffusion and Absorption, CSIR Internal Report No. ENV-P-I 2004-038, Pretoria: Council for Scientific and Industrial Research James, C.H. and Minnis, W.C. (2004) Organisational storytelling: It makes sense, Business Horizons, Vol 47/4 July-August, pp. 23-32 Kurtz, C.F. and Snowden, D.J. (2003) The new dynamics of strategy: Sense-making in a complex and complicated world, IBM Systems Journal, Vol. 42, 462 No. 3 Mitchell, H.J. (2005) Knowledge Sharing – the value of story telling, International Journal of Organisational Behaviour, Volume 9(5), pp 632-641, ISSN 1440-5377 Patriotta, G. (2003) Sensemaking on the Shop Floor: Narratives of Knowledge in Organisations, Journal of Management Studies, Vol 40:2 March, pp. 349-375, Blackwell Publishing Rogers, E. M. (1995) Diffusion of Innovations. The Free Press, New York. Roux, D.J. (2004) From 2nd generation knowledge theory to practically growing human capital in a S&T organization, Paper presented at the 4th I&KM Conference: Knowledge Management in a World of Diversity. IBM South Africa, Sandton, 25-26 May 2004 (Presented by Centre for Information and Knowledge Management, Rand Afrikaans University) Roux, D.J. and Claassen, M. (2005) Human-Centred Knowledge Management: Performance Indicators to Leverage Tacit Knowledge, CSIR Internal Report No. ENV-P-I 2005-003, Pretoria: Council for Scientific and Industrial Research Snowden, D.J. (2001a) Archetypes as an instrument of narrative patterning, ARK: Knowledge Management, Story Special Edition November 2001. Snowden, D.J. (2001b) Narrative Patterns: the perils and possibilities of using story in organisations, ARK: Knowledge Management, Story Special Edition November 2001. Snowden, D.J. (2003) Complex Acts of Knowing: Paradox and Descriptive Self-Awareness, Bulletin of the American Society for Information Science and Technology, April/May 2003, pp 35 –28 124 Real-Life Knowledge Management: Lessons from the Field Snowden, D.J. (2004) Facilitating innovation within the organisation, in Finance and Management, September, Issue 114, available at www.icaew.co.uk/fmfac Sveiby, K.E. (1997) The New Organizational Wealth: Managing and Measuring Knowledge-Based Assets. Berrett-Koehler, San Francisco. Ungerer, M. and Roux, D. (2005) Paradox as Thinking Frame for Knowledge Development. Management Today. September 2005: 26-28. Authors’Biographies Gillian Maree has worked as an environmental researcher at the CSIR for the last four years. Her current research work and interests focus in the water resources field and include spatial planning, systematic conservation planning, biodiversity assessment and interpreting the work physical environment from a knowledge management perspective. Gillian has a BSc in Urban and Regional Planning from the University of the Witwatersrand, Johannesburg and MSc in Biodiversity Management from Saxion University in The Netherlands. Dirk Roux has worked in CSIR’ s contract R&D environment for the past ten years. His scientific experience covers the fields of limnology, aquatic toxicology, environmental monitoring and reporting, biodiversity assessment, systematic conservation planning, adaptive resource management, and institutional learning and knowledge processes. Dirk has considerable experience in planning and leading technical as well as policy-level projects related to the monitoring, protection and management of freshwater ecosystems. He holds MSc and PhD degrees in Applied Limnology from Rand Afrikaans University, Johannesburg. Mario Marais is currently a researcher in the Centre for Logistics in the Built Environment Business Unit of the CSIR. His current interests and research include Knowledge Management strategy development, the impact of Knowledge Management on economic development and poverty reduction, the role of logistics in development, problem structuring via soft operations research techniques and the study of decision-making. He was trained as a physical chemist (MSc in Crystallography) and has grown semiconductor crystals for a living and has also developed gas sensors. Before his appointment in the Centre for Logistics, he was Product Manager of a Radio Frequency Identification tag, Technology Manager and CIO of a CSIR business unit and a part-time student (Masters Degree in Theology). 125 Industry Analysis and Business Modelling 7 Applying Business Modelling to Knowledge Management Lale Citipitioglu Eidal Flemming Hjorth Jørgen Kadal Real-Life Knowledge Management: Lessons from the Field Applying Business Modelling to Knowledge Management Lale Citipitioglu Eidal, DNV Maritime (lale.citipitioglu.eidal@dnv.com) Flemming Hjorth, DNV Maritime (flemming.hjorth@dnv.com) Jørgen Kadal, DNV Maritime (jorgen.kadal@dnv.com) Abstract Today’ s knowledge-based organisations are complex entities. They are comprised of a wide range of processes, technologies and competencies. Understanding this complex environment poses a challenge when trying to establish effective Knowledge Management (KM) initiatives. This case describes how one organisation, DNV Maritime, discovered and applied a unique approach to Business Modelling (BM) for developing and communicating effective KM solutions. The approach was introduced by the KM team and it combines Enterprise Modelling/Architecture (from the ICT perspective) and Intellectual Capital theory in a way which enables a common understanding of the business environment in which an organisation operates, providing the KM team and Management the information they need to make better decisions on how to leverage critical knowledge in the most efficient way possible. The approach has also proved an effective way of communicating KM and its value to the rest of the organisation. In addition to improving decision-making for KM, the KM team’ s successful efforts in establishing and applying a holistic framework and meta-model has also resulted in a positive change in how the organisation approaches organisational and process development. Keywords: Knowledge Management, Business Modelling, Enterprise Modelling, Maritime Industry, Classification Society Background Industrial Context Det Norske Veritas (DNV) was established in 1864 and currently employs over 6000 people in a network of 300 offices in over 100 countries. As DNV’s oldest business unit, DNV Maritime has been operating true to its main objective of ’safeguarding life, property and the environment at sea’ by offering classification and certification services for vessels and other mobile offshore units. As one of the world’s leading classification societies, DNV Maritime has also been harvesting the experiences of its ship surveyors to develop its knowledge base as a basis for developing its own standards for ship classification. In other words, Knowledge Management has had a central role in the company for nearly 142 years. Historically, classification societies have developed their own standards towards which they have classified vessels. These standards are developed as requirements to both the new building phase of vessels as well as for vessels in operation, as a measure to ensure high standards in the construction 131 Applying Business Modelling to Knowledge Management and daily maintenance of the vessels. It has therefore been critical to DNV’s success that the classification standards (or rules, as they are formally called) are regularly updated to reflect the highest levels of safety based on the technical knowledge in the company. At DNV, acquiring, improving and applying knowledge related to safety at sea has been a top priority. This knowledge can stem either from a variety of resources, such as academic work in related disciplines or the hands-on experiences of our ship surveyors in the field. DNV’s surveyors work in an environment where systematic competence building and knowledge transfer go hand in hand with everyday work. For example, new surveyors join the on-the-job tutoring scheme to ensure they are exposed to the tacit knowledge of more experienced surveyors. This is a routine which is valid for all surveyors in DNV. Another example is the experience-feedback system, in which surveyors report incidents that have occurred in the field back to headquarters. These reports are processed into lessons learnt, and in some instances incorporated into new rules and/or internal guidelines for service execution. These two key knowledge-management initiatives existed long before KM became known as a discipline in its own right. Problem In more recent years, DNV has grown both geographically and in terms of the sheer volume of services and products it offers to the Maritime industry. This has created new challenge of how to leverage knowledge and ensure learning throughout the organisation. In the early 1990s, developments in information and communication technology (ICT) were harnessed to create a production system that would make service delivery much quicker. The same technology that improved the efficiency of service delivery was also seen as a means to overcome the challenges that greater geographical distances pose for knowledge sharing. Large investments in ICT were made, with the approach at the time tending to focus more on capturing explicit knowledge in sophisticated systems and less on supporting tacit knowledge needs. The implementation of a corporate ICT platform and the introduction of a new production system revealed some unexpected effects of this new technology on knowledge sharing. In the ‘new way of working’ using ICT, service-related documentation could be transferred at a much faster rate between the customer, surveyors and our employees at our offices. This led to increased pressure on employees to work at an accelerated pace, leaving them with less time to share knowledge with one another. A new corporate intranet was also launched in the late 1990s, but quickly grew out of control with the countless sites and pages that lacked a clear content management strategy. Alongside the development in ICT technology, people networks continued to develop organically as they had in the past. But, these networks had their limitations. They were available only to a limited number of employees who knew one another as a result of working together for years, leaving the growing population of less experienced and geographically dispersed employees without the contacts they needed to learn and share knowledge across the organisation. Consensus was emerging among managers that DNV would benefit from a more systematic approach to managing knowledge in these new conditions. Market demand for new services, greater competition and the continuous pressure on lowering costs also led management to focus more heavily on reducing service or product development cycle time and improving quality also increasingly become a key focus area in DNV Maritime. Various approaches and techniques (including KM) have been applied to address this in more recent years. DNV has observed that many companies have successfully applied business process modelling as a means of identifying measures to achieve more effective and efficient operations. However, a shortcoming of traditional process modelling activities has been that they fail to reveal the interrelations between the processes and other aspects of the business (such as information flow, competences, etc). These also fail to reveal activities which can be done in parallel. Knowledge Management is interested in core work processes because they provide the interface through which 132 Real-Life Knowledge Management: Lessons from the Field knowledge and information can be made seamlessly available to those who require it without having to spend addition effort or time. More often than not, KM involves ‘meta-processes’which interact with core work processes without necessarily being recognized as such by employees. All industries and businesses can benefit from KM, in that successful operations and development activities require use of information and knowledge, and KM is focused on just that. Today’s knowledge-based organisations are often complex entities. They are comprised of a wide range of processes, technologies and competencies. An ultimate success factor for such organisations is leveraging the knowledge that lies within people’s heads in the most effective way possible. A solid understanding of the internal and external business environment is essential for successfully developing the mechanisms through which knowledge is created, synthesized and applied. Typical questions for KM initiatives are: • What knowledge is truly ‘critical’for our business? • Who has this knowledge? • How can it best be leveraged to boost results? But how does one go about answering these when faced with a complex business? One growing trend in the business world is to use methods for designing and maintaining information architectures in a broader context, to include all aspects of the business environment. DNV Maritime has applied Business Modelling as a tool for establishing a common understanding of KM mechanisms in the context of the whole business environment. The objective has been to define and visualize all elements of concern for our business, and how these different elements inter-relate, in order to identify and establish effective KM solutions. DNV Maritime’s example of applying Business Modelling to supporting KM could be applied to other businesses, regardless of which industry they operate in. Learning Objectives: • Learn about the key business drivers that drove DNV Maritime to establish its Knowledge Management Program • Understand how business modelling can be applied to support KM • Learn about the experiences DNV Maritime has had with business modelling in areas other than KM Approach This case study is a story of how one organisation, DNV Maritime, discovered and applied a unique approach to business modelling for developing and communicating effective KM solutions. The case covers the following phases of DNV Maritime’s journey: 1. The KM Program in DNV Maritime 2. Discovering of business modelling as a potentially useful tool for KM 3. Developing a modelling framework and meta-model 4. Piloting the modelling framework for KM 133 Applying Business Modelling to Knowledge Management Case Analysis DNV Maritime and the KM Program Det Norske Veritas (DNV) was established in 1864 and currently employs 5,500 people in a network of 300 offices in over 100 countries. As DNV’s oldest business unit, DNV Maritime has worked towards its main objective of ’safeguarding life, property and the environment at sea’by offering classification and certification services for vessels and other mobile offshore units. As one of the world’s leading classification societies, DNV Maritime has been harvesting the experiences of its ship surveyors to develop its own standards for ship classification for 139 years. In more recent years, DNV has expanded globally, which has created the challenge of how to share knowledge and learn across great distances. Especially in the early 1990s, developments in information and communication technology (ICT) were harnessed and large investments in ICT were made. The approach at the time tended to focus on capturing explicit knowledge in sophisticated systems and less on supporting tacit knowledge needs. The mere complexity of the business, with its more than 400 services and products, and over 3500 employees spread across the globe, proved to be a challenge for capturing and sharing knowledge. But this also posed an opportunity: with so many employees there was also a great wealth of knowledge; knowledge which could be better leveraged to support business goals. The organisation had just to find out how. In DNV Maritime launched a three-year knowledge-management programme in January 2002. This Program took a holistic approach to managing information and knowledge in alignment with business objectives and needs. The KM team quickly established the following goals: 1. Conduct a baseline assessment of our current knowledge systems; 2. Recommend measures for DNV Maritime to improve knowledge management; 3. Implement improvement initiatives together with key DNV Maritime stakeholders. The KM team set out to answer question that would reveal how KM could support existing operations and service delivery: • What knowledge is truly ‘critical’for our business? • Who has this knowledge? • How can it best be leveraged to boost results? However, from an innovation perspective this is not sufficient to fully capitalise on the knowledge an organisation has. One should also look at how existing knowledge could potentially benefit the business in the future. The KM team was therefore also interested in questions such as: • What do we know? • Can this further benefit our business and others? • Who knows it? • How can we make it benefit our business and others? The main challenge was how to answer these when faced with such a complex business. That was when the KM team discovered that the IT department’s experience with Enterprise Architecture (EA) modelling could be combined with their knowledge of Intellectual Capital models to explore and visualise the business. 134 Real-Life Knowledge Management: Lessons from the Field Discovering Business Modelling as a Potentially Useful Tool for KM In mid-2002, the KM Team began exploring the potential benefits of Business Modelling as a tool for establishing a common understanding of KM mechanisms in the context of the whole business environment. The KM Team, which had competence in Intellectual Capital theory and KM, joined forces with individuals with competence in Enterprise Architecture modelling, and together they sought to identify viable solutions. Several members of the combined team had worked in projects where DNV Maritime had already been applying Enterprise Architecture (EA) modelling in the context of the Information and Communication Technology (ICT) environment as early as 1999. Business Process Modelling (BPM) and IDEF0 methodologies were also being used throughout the organisation. However, these activities focused primarily on the design and development of specific ICT solutions, and did not meet the need of understanding the overall business environment. The ICT environment was mapped out in the Microsoft software, MS Visio. This application later proved unable to provide an efficient solution for updating and maintaining the rather complex maps over time. There was a need for more effective software. In 2002, DNV Maritime began experimenting with the Enterprise Modelling software, METIS, which proved to be a more robust solution for the kind of modelling in question. In other words, it was able to manage the definitions and visualizations of all elements of concern for our business, and how these different elements inter-relate. It soon became clear that one potential solution for exploring the interrelations between various aspects of the business environment was by building a framework combining Intellectual Capital models with those deployed by Enterprise Architecture initiatives (for ICT). One could model both tangible and intangible assets as well as the interrelations between these. The KM Team was convinced that this would shed light on the complex discussions surrounding KM, and make these discussions more ‘tangible’for Management to understand and address. While the team had now established a path for developing the modelling framework, it also established clear objectives for what DNV Maritime believed it could achieve by applying modelling in this unique way: • define a common description of the business to leverage communication and decisionmaking at all business levels • facilitate a general understanding of the business environment • explore challenges and improvement opportunities • facilitate the analysis of consequences of changes Developing a Modelling Framework and Meta-model DNV Maritime’s approach to business modelling combines Enterprise Modelling/Architecture (from the ICT perspective), Business Process Modelling (BPM), IDEF0 and Intellectual Capital models and methodologies in a way which enables a common understanding of the impact of the various factors involved in the business environment, both internal and external. The team’s focus was on establishing a comprehensive framework which could be used for modelling, especially with the modelling of KM meta-processes and tools in mind. This included a generic framework and an underlying meta-model which describes the objects to be used for modelling as well as how to use these. Figure 1 below illustrates a partial view of the generic framework. This partial view focuses on External Conditions and Intellectual Capital, and excludes elements pertaining to Financial Capital, though these are also included in the original framework. 135 Applying Business Modelling to Knowledge Management Figure 1: A partial view of the DNV Maritime Business Modelling Framework The generic framework was accompanied by full descriptions of each of the elements included in the framework. In other words, a thorough ‘DNV Maritime interpretation’of External Conditions and Intellectual Capital (the latter was based on the works of reputed thinkers within that area such as Sveiby, Edvinsson, Roos). Figure 2 illustrates the meta-model, which describes the objects to be used in modelling. 136 Real-Life Knowledge Management: Lessons from the Field Figure 2: The DNV Maritime Meta-model In addition to developing the framework and the meta-model, the Team focused on establishing governance for all modelling activities. Some of the main requirements to modelling in DNV Maritime were: • Compliance with Business Modelling Governance Protocols and Procedures • Use of METIS software (delivered by Troux Technologies Inc) • Compliance with the following standards for process modelling: o IDEF0 –to be used for information flow modelling o BPMN (Business process modelling notation) –to be used for work flow modelling • Availability of trained, centralized staff (METIS tool & modelling skills) Piloting the Modelling Framework for KM Once the framework and the governance were established, it was time to pilot these for KM. In order to address strategic KM issues, it was necessary to model some of the key elements of DNV Maritime’s overall business environment. Among these were the objectives, vision and values of the business were modelled, as well as with key strategic decisions which KM should support. This 137 Applying Business Modelling to Knowledge Management activity enabled the modelling team to familiarise itself with both the software (METIS) and the meta-model. It was decided that only very few individuals should be involved in this, as the software and the meta-model required extensive training. OBJECTIVE To Safeguard Life, Property, and the Environment VISION To be our Customers' First Choice in providing services for Managing Risk VALUES We never compromise on quality or our integrity Figure 3: Modelling key elements such as objectives, vision and values of a business Modelling specific services and the work process for delivery of these was also deemed necessary in order to lay the basis for modelling the KM meta-processes. DNV Maritime had already modelled work processes using IDEF0, so this was not done from scratch. However, these process models had to be developed within the METIS software, something which took additional time. Figure 4 illustrates a partial view of services and corresponding work processes modelled in the framework. 138 Real-Life Knowledge Management: Lessons from the Field Figure 4: Modelling services and corresponding work processes The pilots run by the team focused first on business objectives and goals, and then on the processes involved in achieving these. In that sense, the pilots followed a process-oriented approach to identifying potential KM meta-processes and tools (i.e. ICT systems and applications) through first modelling the information and knowledge needs within those processes. Figure 5 illustrates a partial view of this process-oriented modelling using the framework. 139 Applying Business Modelling to Knowledge Management Figure 5: Process-oriented modelling The pilots included modelling a select few KM meta-processes (depicted in Figure 6) and their potential and/or current contribution to improving operations. Again, a process-oriented approach was followed, where the interrelations between the KM meta-process and the core work processes were modelled. Some of these KM meta-processes or initiatives which were included in the pilots were: • Communities of practice (DNV Maritime was piloting several of these through the KM Program) • Knowledge-enhanced production system (DNV Maritime’s in-house production system, called ‘Nauticus Production System’or NPS, was being upgraded to deliver more contextspecific information and knowledge to employees in select work processes) • Web content management scheme (A new regime for governing the use of DNV Maritime’s web channels had recently been implemented) 140 Real-Life Knowledge Management: Lessons from the Field Figure 6: Visualising KM meta-processes and the interrelations between the work processes and critical knowledge, competence and ICT applications in the overall context of the business Results and Business Impacts Initially, the main challenge was to identify how (if at all) Business Modelling could support KM and convince Management to invest in a pilot. Several discussions to convince Management that this was worth piloting proved to be difficult, as it was nearly impossible to demonstrate how this could be used without actually running a pilot in the first place. Management did consent to funding ‘some exploratory activities’, although this was half-hearted by most. However, there were a few ‘visionary’managers who showed their support early on. One of these had been responsible for initiating the Enterprise Architecture initiatives for ICT. Another challenge was the fact that in order to run a pilot, the KM Team had to first establish a comprehensive framework and a meta-model. This required a good deal of resources before a pilot could be run successfully. The KM Team used this opportunity to run several ‘mini-pilots’which also served as a re-iteration process for the framework itself. In other words, demonstrating how to apply the framework and improving it went in parallel. During the pilots, modelling a select few KM meta-processes in this framework enabled the KM team to understand the role KM plays in the business environment. It facilitated a discussion about whether the current KM initiatives were focusing on the high-impact areas of the business, given the explicit objectives and goals at the time. It also enabled the Team to communicate what constitutes KM and how these activities create value for the business. 141 Applying Business Modelling to Knowledge Management After the pilots, this approach to Business Modelling proved to be a beneficial tool for supporting better decision-making in other aspects of the business by facilitating discussion around the following questions: Will this involve change in the global DNV Maritime organization, or is it primarily a localized effort? Will this improve/enhance existing internal work processes and organization, or will it create something new? Will this meet existing goals or will it create new ones? Will this imply a change in attitudes and behaviours of employees? Will this improve/enhance an existing service, or will it result in a new one? Will this require more human resources than we have today, or will it contribute to building existing resources? Will this impose changes to our ICT infrastructure/tools? Will this improve how we capture and learn from knowledge and experiences? Figure 7: Business Modelling enables better decision-making Exploring the use of Business Modelling for KM has generated several discussions about how to improve other aspects of the business, especially work process development. Modelling processes in order to identify knowledge and information needs and potential solutions has resulted in increased interest among middle management in applying modelling to work process improvement initiatives beyond KM. Conclusions DNV Maritime’s unique approach combines Enterprise Modelling/Architecture (from the ICT perspective) and Intellectual Capital models in a way which enables a common understanding of the business environment in which an organisation operates, providing the KM team and Management with the information they need to make better decisions on how to leverage critical knowledge in the most efficient way possible. The approach has also proved an effective way of communicating KM and its value to the rest of the organisation. In addition to improving decision-making for KM, the KM team’s successful efforts in establishing and applying a holistic framework and meta-model has also resulted in a positive change in how the organisation approaches organisational and process development. DNV Maritime’s approach has begun to support management decision-making within the business beyond just KM. A similar approach could be applied by other organisations to: • define a common description of the business to leverage communication and decisionmaking at all business levels • facilitate a general understanding of the business environment 142 Real-Life Knowledge Management: Lessons from the Field • explore challenges and improvement opportunities • facilitate the analysis of consequences of changes While this unique approach requires commitment and discipline to maintain and be applied properly, it is generic in nature, and could therefore be applied to any organization in any industry. Practical Tips and Key Lessons: • Securing Management buy-in and stewardship is essential for long-term success of any KM initiative; applying business modelling to KM is no different • Explore and engage individuals with different competences in your organisation to help you find innovative solutions to KM problems. • Understand that many KM initiatives require a long-term commitment by management • KM can not be addressed as a stand-alone process; it needs to be incorporated into other management activities • Business modelling can help describe and visualise the all aspects of a business environment for use in identifying KM (and other business) needs and solutions. • Business modelling requires structure and discipline if it is to be useful over time; it requires resources for governance and support Acknowledgements The authors would like to thank Tore Christensen and Geir Hardt (both from DNV Maritime) for their extensive contribution to the DNV Maritime business modelling framework. Special thanks goes to Bjørn Haugland and Eirik Andreassen (both also from DNV Maritime) for their support and foresight in seeing modelling as a worth-while investment when others were in doubt. References Citipitioglu Eidal, L. and Hjorth, F. (2003). 139 Years of Managing Knowledge, web article published in KM Magazine, 3 November, 2003. http://www.kmmagazine.com/xq/asp/sid.0/articleid.6605089B-A6C6-42A0-AD9A21A7970A2A8D/qx/display.htm Bontis, N. (2000). Assessing Knowledge Assets: A Review of the Models Used to Measure Intellectual Capital. Paper, 11 October 2000. Edvinsson, L., and Malone,M.S. (1997). Intellectual Capital: Realizing Your Company’s True Value by Finding its Hidden Brainpower. HarperBusiness, New York. National Institute of Standards and Technology (1993). Integration Definition for Function Modeling (IDEF0), Draft Federal Information Processing Standards Publication 183, 21 December 1993. Roos, J., Roos, G., Dragonetti, N.C., and Edvinsson, L. (1997). Intellectual Capital: Navigating in the New Business Landscape. MacMillan: London. Schekkerman, J. (2005). Trends in Enterprise Architecture 200: How are organizations progressing? Report of the Third Measurement, Institute for Enterprise Architecture Developments, December 2005. 143 Applying Business Modelling to Knowledge Management Sveiby, K.E. (1997). The New Organizational Wealth: Managing and Measuring Knowledge-based Assets. San Francisco: Barrett-Kohler Publishers. Zachman, J. A. (1987). A framework for information systems architecture. IBM Systems Joutnal, Vol.26, No.3, 1987. Zachman, J. A. (1996). The Information Framework. IBM Systems Journal, Vol.35, No.1, 1996. Authors’Biographies Lâle Ç lu Eidal was responsible for the Knowledge Management Programme at DNV Maritime from 2001-2004. She has since been working with further development of Knowledge Management in DNV Maritime. Her academic background includes a Bachelor of Science degree in Public Administration from Middle East Technical University (Ankara, Turkey) and a Master of Science degree in Mass Communication from Boston University (Boston, MA, USA). Her professional experience includes Marketing Communications, Corporate Communications, process development, Content Management and Organizational Development. Lale is a proud member of the KnowledgeBoard. Flemming Hjorth was a project manager in the Knowledge Management Programme at DNV Maritime from 2001-2004. He has also been working with further development of Knowledge Management in DNV Maritime. In addition, he has over the last 3 years built expertise in Business model management and governance. His academic background includes an Information Specialist degree from The Royal School of Librarianship in Denmark. His professional experience includes, Community of Practice development, Business model development, Process mapping facilitation & modelling, content management, information research and maritime experience from 1 1/2 years of training onboard merchant vessels. Jørgen Kadal was a project manager in the Knowledge Management Programme at DNV Maritime from 2001-2004. During this time he also played a central role in the development of the new IT production system for the global operations of DNV Maritime. He has since been working with Business intelligence and initiatives to generate knowledge through datawarehousing solutions. His academic background is a Bachelor of Engineering from University of Glasgow. His professional experience includes working as a classification surveyor and approval engineer as well as a technical consultant. He has also played a key part in establishing the new business modelling activities in DNV Maritime. 144 8 From Knowledge Management to Business Intelligence Joël Van Hoolandt Real-Life Knowledge Management: Lessons from the Field From Knowledge Management to Business Intelligence Joël Van Hoolandt, Magma Consulting (jvh@magmaconsulting.be) Abstract This article discusses the changes that occurred in a global knowledge management program within a big financial services company. The major aim of the initiative was to implement a worldwide knowledge management programme (in 1998) that has been adapted, transformed and has moved to what we have today in place. This article returns the main findings of this project, reminding the initial scope to the concrete economic intelligence job performed nowadays, establishing the link between the market segmentation (per industry line), the kind of knowledge the firm needed to target and the concrete realisation we put in place. The adopted methodology is clearly empirical, based on internal documents and testimonies, shared experiences and conclusions acquired in a 100,000+ employees organisation. The main findings are continuous adaptation on project scope level, concrete down earth application of knowledge management concepts and employee flexibility. Keywords: project management; financial services; knowledge strategy; business intelligence Background Industrial Context According to some well-known IT management 'stages of growth' models (postulated by (a) Nolan (1979); (b) Earl (1983; 1986 and further amendments); (c) Bhabuta (1988); and (d) Hirscheim et al. (1988), there is a strong link between management approaches, especially technical and information systems structures and the growth of organisations. When the international initiative had been taken within a major financial services company to start and support the implementation of a worldwide knowledge management strategy, it has been postulated that all involved countries, lines of business, management department were on several and different development stages, according to the national IT culture and the business development level reached. With a strong willingness to maintain a high level service delivery model, plus a strong corporate image, the company took several measures for achieving its goals and promote what had been perceived, in those times (1998), as a knowledge management revolution. The context in where the project had been started was fairly simple: as a major audit, tax and advisory firm, it had to provide, within a fast changing business environment, strong advices in order to consolidate the client relationship. One of the top advantages it had was a first class human network, handling millions of contacts with the business community, managing sometimes complex and difficult cases, but not taking the time to centralise and share this tremendous amount of information. The firm engineered knowledge management processes, based on major economic questions, like establishing a digital nervous system and a knowledge dashboard for client service improvement. The project team wished to integrate the firm's intellectual capital, with setting up an universal business management tool and gathering information from all other knowledge based systems. The 147 From Knowledge Management to Business Intelligence international management board wanted to get an universal business management tool, encompassing the policies, procedures and systems associated with the creation, collection, safeguarding and dissemination of the firm’s intellectual capital. After having identified the major KM leaders (in those times, it was Microsoft, General Electric, General Motor, the US Navy, Fannie Mae, Disney, Monsanto, Seidmans and Philips) the management team proposed and branded a clear project scope to support the delivery of the highest quality client service around the globe; building channels to the clients that leverage the client’s expertise internationally; creating an unmatched knowledge sharing environment for superior performance and people retention and executing an on-going R&D collaboration with key strategic partners (academia, clients and vendors). On a research side, the firm had to negotiate external content acquisition in order to reduce acquisition costs and avoiding double content and costs control. Therefore, an international initiative was taken, before setting up local national knowledge management teams, for starting offices of intellectual capital, targeting the improvement of news filtering to the knowledge worker’s desktop; privileging some sources within context, enabling source specific searches, developing existing native language filters enabling personalisation and linking to news stories. For achieving those goals, some technical functionality was to design national country news homepages, inserting news in context, proposing some free-text searches in context or some freetext searches within a specific publication, sorted by relevance or time. Some filtering options were already, in those times, integrating competitive intelligence on discipline levels, product rollups or combinations of both of it. Project Deployment After having fixed a general global strategy, a project deployment strategy to the local countries was proposed and explained. The set up of the intellectual capital office was clearly in charge of the content that had to reflect the discipline’s core strengths and key markets. The project roadmap provided major jobs descriptions assigned per roles: content managers; subject matter experts; global knowledge managers and knowledge manager coordinators. Those profiles have been assigned in every project countries, invited to prepare a content inventory, following a content plan and a content management process. These parts of the project will be discussed in the Approach section of this case study. Problem The starting point for pushing up a worldwide knowledge management program was the competitive pressure that had to be handled, with a correct answer to the market needs. The main competitors were focusing their strategies on having core knowledge-based solutions teams to spearhead the KM initiative and to create key proprietary products that can be complemented by other KM products available on the open market. Those major competitors were concentrating on organisations that were ‘knowledge-centric’in their missions and were working with them to help realize their goals and to build internal expertise. One other major market player was to leverage its own experience with its KM program and offered KM services to clients, primarily in conjunction with other types of services, such as supply chain management and customer value management. Another extreme market segmentation that had been established (early 90’s) was the leveraging of experiences and alliances in data mining and data warehousing, along with the internal knowledge management expertise. Some KM services were addressing the issues of creating, harvesting, 148 Real-Life Knowledge Management: Lessons from the Field sharing and leveraging knowledge, while paying attention to some critical enablers, including people, culture, processes, structure and technology1. On a client level, the biggest companies had a KM approach for targeting new products and services to customer segments. Reduction in time to implement test findings was reduced from eight months to three months, with a 40 percent increase in response rate from targeted prospects. Some large pharmaceutical company developed a KM system to reduce drug development time and improve regulatory approval. Regulatory filing time was reduced from 18 months to three months and regulatory approval time from three years to nine months. In the energy sector, a KM solution is based on leveraging knowledge from projects around the world with the goal of reducing the total installed cost to their clients by 30 percent in engineering and construction of industrial facilities. The initial implementation is considered a significant contributor to more than $100 million in new projects. Competitors developed programs to motivate and enable teams to communicate and record knowledge. The aim was to build a source of information that would enable people to learn from the experience of others throughout the organization. Learning Objectives: • Strategic KM market segmentation within an audit firm • Review of evolving information systems strategies in three major products • Extended relationship between strategy and KM objectives Approach The approach that has been followed is an internal empirical analysis, participating into the project and its evolution. We have analysed the project documentation from an internal perspective, integrating personal experience and colleague’s feedbacks. This paper reflects an opinion about the project changes and tries to give evidence about the cultural change that happened in a big financial services firm. Content Management Process The project roadmap provided details about steps associated with each phase, individuals (identified as ‘performers’) who are recognized to execute each step and appropriate guidelines. According to the project management roadmap 2, the content management process was based on four major actions: 1) The author/content identification with as recommended action to identify content; 2) Index and classification, with indexing and providing some URL references or required classifications; 3) Contribute to content manager, within the required classification; 4) Maintenance steps for the edited content [life cycle review, expire/update/deletion processes] 1 Internal Research services report, research services, Montvale, 1999. 2 Internal knowledge management project documentation –Boston conference –1999. 149 From Knowledge Management to Business Intelligence Strategic alignment Under the pressure of its global market, the strategic move had to be consistent with some other industry cases, taking into account all major market segments we could identify in the late nineties. Those selected segments were: Commercial, Industrial and Manufacturing (CIM); Information, Communications, Entertainment (ICE); Health Care (HC); Financial Services (FS) and Public Sector (PS). The main strategic objectives of those segments had to be identified in order to propose to clients a realistic knowledge management approach answering concrete needs and requests, like in any other studied firm. In fact, we could summarize this project step as a best practice study before the worldwide deployment began. The reflection was based on four major targets: 1) Customer intimacy [use of knowledge management for answering the customer service, customer support and customer relations] 2) Operational excellence [cost reduction, process improvement, communication improvement] 3) Product leadership [new product enhancements and innovation to market quicker] 4) Employee expertise [access to best practices and better decision-making] A summary of the market segmentation and identified knowledge targets is shown in Table 1. 150 Real-Life Knowledge Management: Lessons from the Field Table 1: Market segmentation and knowledge identification Rank Knowledge target identified Segment 1 Operations excellence and improved communications. Employees need to share complex, tacit knowledge. CIM 2 Focus is on processes that will yield specific business results; reduce the need to send experts to remote site to solve problems. CIM 3 Bring innovations to market quicker, improve operational efficiency across business lines and serve customer better. CIM 4 Improve operations through cost reduction and drive for best practice CIM 5 Avoid duplicate work and ensure re-use; improve employee expertise by sharing leading practices and lessons learned. CIM 6 Motivate people to share best practices knowledge; emphasis on re-use of previous knowledge; improve chip fabrication operations. ICE 7 Capture and systemize much of the knowledge in projects with customers; improve customer value and services ICE 8 Hire customer-centred people who gave excellent customer feedback, thanks to available technicity ICE 9 Increase flow of information across the organization through workflow process; improve customer service ICE 10 Allow practitioners to access a single database to apply the knowledge of the organization to an individual's healthcare issues. HC 11 Use of knowledge management to improve product development and operations (produce faster and cheaper). HC 12 Speed up the employee decision-making process, speed up product delivery and improve customer service. HC 13 Reduce customer response time from days and weeks to hours and days, regardless of geographic location; increased promotions of the talented people in the company; increasing morale. HC 14 Becoming a clearinghouse for information on economic development; help employee by reducing the number of reports they have to compile, quality improvement and reduce publication production time. FS 15 Align and support business strategy; connect with all stakeholders such as suppliers, debtors, customers and regulators; improve underwriting operations FS 16 Transform the physical knowledge sources into a virtual environment; reduce the amount of information search time. FS 17 Ability to collect process and disseminate a steady flow of information and deny the enemy ability to gain and use battle-relevant information. PS 18 Transform a large bureaucracy in a service organization. PS 19 Improve operations PS According to this knowledge management utility study, the advisory firm had to create internally similar conditions for answering its client needs as far as it could. This strategy is formulated and described in the next section. 151 From Knowledge Management to Business Intelligence Case Analysis Executive Summary The Office of the Global Chief Knowledge Officer manages the single knowledge environment through which any person –within or outside the firm –can access the firm’s intellectual capital. The system is comprised of three main products groups: • Knowledge sharing supplies all the tools, applications, processes and methodologies to make information available to employees, including internal document management system and external news. • Collaboration provides a protected environment where teams and clients exchange information using a virtual workspace tool. • Internet products enable the firm to showcase the depth and breadth of its capabilities through Internet and extranet sites, including international .com domain names. Each product delivers a constantly growing list of tools, processes and applications, where the purpose of the tools is to assist practices in planning their knowledge management strategy by providing descriptions of each of the global knowledge management tools. By using the system and the local KM teams, the practices can compare tool purposes, features and functionalities and determine the best tools to use for sharing knowledge within teams, throughout the firm and ultimately, with clients. The selection of a tool or particular shared environment (or a combination of) is determined by the type of content to be shared and the community for whom the content is intended. Documentation was made available to provide information to assist practices in making some determination. Local Knowledge Sharing System and Support from Regional Services The Knowledge Management environment, which is accessed by firm members all over the world, serves as a corporate gateway to both global and local systems, even if some local systems play an important role in knowledge sharing. Practices wishing to develop their own presence within the global knowledge environment had first to consult their respective regional services group: EMA (Europe, Middle East and Africa), ASPAC (Asia Pacific) and LAC (Latin America and the Caribbean). Contacting regional services ensured that practice initiatives were aligned with regional and global strategies. In addition, regional services could assist in finding and completing necessary documentation. When developing new local knowledge sharing initiatives, practices were strongly encouraged to use tools defined in the project documentation. If there were some concern that the global systems did not meet business needs, regional services could facilitate consultation with the Global CKO Office. In some cases, when requirements were of global relevance, the Global CKO Office could develop enhancements to the global tools to meet practice requirements. Getting Started with the Knowledge Management System The Global CKO office provided a variety of information about the tools and products available (including project management guides, training guides, communication materials and other documentation). These documents were located in the worldwide repository and gathered in the Global CKO Web site. 152 Real-Life Knowledge Management: Lessons from the Field Additional assistance in getting started with the tools (e.g. developing a local intranet sub-website or requesting a public mail folder) was provided by the regional services group, which had to assist in securing CKO project approval for projects, completing forms and other tasks as appropriate. Knowledge Sharing A summary of the knowledge sharing entry points, their purpose and key features/functionalities are summarised in Table 2. Table 2: Realising knowledge sharing Sharing Entry point Purpose Features/Functionality Major international gateway Access to all knowledge sharing tools, methodologies, contact Preferred Internet browser start page for information and intellectual capital. employees in connected countries. It’s one portal gathering all tools and all shared knowledge. Global Home page Start page for all globally relevant The global home page should be used to news and knowledge tools. It provide access to globally relevant news or tools. emphasizes global presence. Universal search This enables easier knowledge sharing by providing a simple interface for searching a broad range of content. With one search query, users can search multiple knowledge sharing systems, internal web sites and certain databases. Universal searches tool is available for all users. All practices are encouraged to add their intranets or other knowledge sharing repositories to Universal searches. Global document repository Global document repository which can be shared within the company. It allows employees to access any document submitted by another employee in any member firm connected to the system. All employees are encouraged to enrich the global knowledge repository by contributing with documents, tackling the following content: clients; competitive intelligence; contact information; engagement processes; insights; methodologies and tools; postings; sales and marketing material; vendor and alliance contract. Local practice sites Simple html page that is developed and maintained by a practice. Their purpose is to provide users in the practice one single page where links to all practice-relevant content are located. Those pages should be used when a practice wishes to provide an inexpensive, simple and easily maintained interface for links to site that are relevant to the practice area. Content Management Application (CMA) All practice knowledge management organizations should identify individuals for This is a third party tool available training as CMA administrators. They will through the knowledge management use the CMA for managing content in the system for practice knowledge Global Document repository. The CMA managers and other administrators. will also be used to manage other internal web sites. 153 From Knowledge Management to Business Intelligence Sharing Entry point Purpose Features/Functionality Discussions This enables employees to share information in a public forum. Discussions assist in the identification of experts and the growth of human networks. Discussions are available to all users. Practices may wish to include discussions in their knowledge management strategy. For instance, knowledge managers may include specific discussions in engagement methodologies or performance managers may include discussion participation in knowledge sharing goals. Clients and targets This application provides a single source of information on clients and targets. Its purpose is to provide all employees access to news and information about clients, targets and client teams. Clients and targets are accessible by all employees. Practices wishing to share information about client and targets on a global basis may wish to make population of the clients and targets system a part of their knowledge management strategy. CV system The CV system is accessible to all employees. Practices may choose to This enables connected employees encourage their community to enter CVs so to quickly and easily find that they may be easily gathered for employees with specific skills or proposals. Web site, Clients & targets and practice page administrators may wish to experience. use some function to create links to groups of CVs. Internal web services Internal web services provide practices with existing internal Web sites global server hosting and support services. The internal Web Services meet the needs of practices with the existing internal Web sites (built with basic technologies and containing globally relevant content) that wish to simplify their support processes while making their site globally accessible. Sub web sites This enables any community to create a small-scale knowledge sharing system based upon a template environment. It provides alternative ‘front-end’navigation to the content on the Global documents repository as well as additional capabilities by using its Resources & Information area. It allows practices to draw upon the global knowledge repository by inserting links to document loaded in the Global repository. This meets the needs of practices wishing to quickly establish a multi-level Web presence with minimal resources spent on design. Collaboration The collaboration tool allows teams of employees and their clients to work together in a protected, virtual workspace regardless of their geographic location. Teams share project documents, ideas, discussions and proposals, resulting in improved communications, relationships, efficiencies and revenue. 154 Real-Life Knowledge Management: Lessons from the Field The web space collaboration tool can also be used for internal collaboration by internal groups with no need for collaboration with external parties. In all cases, the collaboration tool is intended for collaboration on work in progress. Final work with global relevance is entered in the Global documents repository for general knowledge sharing. External facilities are recommended for proposal teams seeking to address client collaboration requirements. Internal facilities are recommended for teams wishing to share work in progress that is not appropriate for sharing globally or with other knowledge sharing tools. The secure web space provides a place for information sharing and idea generation. It provides a central location for sharing knowledge (calendar, contacts, sharing work in progress, etc.) within local teams and teams that are geographically dispersed. Internet Products A summary of the key internet tools used, their purpose and key features/functionalities are summarised in Table 3. Table 3: Internet tools Sharing entry point Dot com web site National web sites Extranets Purpose Features/Functionality International web site. It provides news and information about the company on an international level and its services. It provides also access to the national web sites of the countries of the group. This tool provides the local firms a template-based tool for quickly developing a simple Internet site that is aligned with general look and feel standards. This market segmented extranet approach is designed to provide worldwide value-added content to selected clients through the Internet. National practices wishing to present themselves as one of the group. Local practices with news to report to the worldwide Internet audience should do so by submitting ideas to their national Marketing and Communications teams or, if they are internationally relevant, to Global Marketing and Communications. This tool meets the needs of practices wishing to establish an Internet presence aligned with the international look and feel and wishing to spend minimal resources on design and development, focusing instead on content. This initiative is coordinated by a worldwide Innovation centre. Results and Business Impacts Key Findings The major findings of this international knowledge management project have been that the firm found a rapid market leader role in knowledge management initiatives for itself and for its major clients. The company improved the speed of his information flows from a rather traditional way (older common business communication channels like phone, fax and internal snail mail systems) to an innovative tool collection, integrating knowledge sharing possibilities mentioned here above. But the biggest project realisation has been to maintain international knowledge management structures in place, even within the bad times, in order to achieve all the long-term project goals, i.e. reaching a real change management in the cultural professional behaviour of all employees, passing from a traditional organization to a knowledge-driven company. 155 From Knowledge Management to Business Intelligence The major key findings that have been identified after a seven year project life cycle are: • Content, improved in accuracy, quality and controls, thanks the designation of some knowledge managers within the practices (audit, tax and advisory). Those people are in charge for checking that the published content is useful to their colleagues and that the information can easily be located; • Technology, the supervision of every new hardware or software implementation had to be the result of coordination between the local and international IT authorities, the professional department defending his business case and the KM department. Support and implementation optimization have to be provided from an end-user perspective, taking into account the specificities of the requesting business unit; • Processes, from several natures have been identified for promoting knowledge management steps in the daily business and in its communication. The content management course and the related data protection policy is supervised by the Chief Knowledge Officer and its department. Regular meetings between the information contributors and the KM team are organized, in order to evaluate the contribution and the publications procedures that have been put in place; • People, the communication and the people interactions are evaluated and promoted every year in their performance evaluations. Complementary job features and aspects like human resources, training, marketing and communications are involved in the evaluation criteria of employees appraisals; • Management, where traditional managerial tasks still have to be done and where the KM project team added some more market oriented operations, like the systematic market watching processes and promoted on-line visibility on corporate web sites and web search engines. These core centric competencies, answering to the identified key findings, have been assigned to the local KM teams. Content The first responsibility for local KM teams was to ensure the accuracy of the proposed information, taking into account the following processes: • ensure content ownership and responsibilities through the national practices • ensure that content is reliable, accurate, timely and consistent • assess and ensure the quality management of the data • ensure everyone can contribute and find content in the Global document repository • ensure, on a risk management level, the client confidentiality, copyrights and data protection according to international and local requirements • manage appropriate publishing and security controls • pro actively research and recommend new local external information sources • coordinate legacy system migration • coordinate parallel information systems developments • coordinate content on national and international level Technology Taking into account that the IT department is responsible for the delivery and support of the technical infrastructure and that a specific IT security officer is in charge of the security, some very specific tasks have been delegated to the KM department. Those were mainly: 156 Real-Life Knowledge Management: Lessons from the Field • understanding the Global document repository technologies • planning the implementation and upgrades and required training for end-users • provide end-users support • reporting of access control failures to the main system administrators • follow global developments • coordinate potential parallel database developments • centralize major IT applications in one application gateway • coordinate new KM application developments Processes Key tasks for processes include: • coordination of all KM processes and activities for the national practice • ensure that international KM processes, policies and guidelines are effectively implemented • change management: design and implement national Content Management in accordance with global policies • national and international liaison to ensure the cohesive delivery of KM strategy and processes • risk management, with reducing the risk of fragmentation that could result from other business units • embed knowledge management into appropriate daily business processes • ensure that collaborative environment is created where people contribute and share knowledge as part of their working life • ensure ownership and sponsorship exists for KM processes, knowledge centres and information assets • develop procedures to measure, recognise and reward knowledge management • develop and implement tools and processes to facilitate knowledge management procedures for local usage • ensure processes are in-place to pre-empt legal problems (copyrights and client confidentiality) • coordinate all discipline business processes and identify common practices in accordance with regional and global requirements • encourage continuous review and improvements of these processes People Key tasks related to people were identified as: • communication: provide global and local communication channels between local and international authorities, regarding user needs and development priorities. • marketing and promotions: agree with business on promotional strategy regarding knowledge management initiatives • training: provide courses on content management systems, upgrades, organizing KM conferences • change management: accelerate the creation of a knowledge-sharing environment and facilitate the adoption of KM processes in the national practices • management infrastructure 157 From Knowledge Management to Business Intelligence • provide performance management • establish a KM competency framework to assist in performance evaluations • propose new ideas exchanges and brainstorming sessions Management The main management tasks were: • define the KM strategy for local country • ensure the national and global integration of all knowledge management activities • liaison of all national KM activities • market watching about the competitors • on-line and off-line visibility about knowledge management and business intelligence initiatives • ensure the knowledge management department is seen as a key contributor to national and international KM initiatives • coordination and facilitate the implementation of the annual plans for all knowledge managers nationally • provide reports on KM progresses • financial management: budget and cost control Business Impacts According to us, the described business case revises some well known stages of growth models, like the Nolan and the Earl models. We have seen in the context section that important financial services companies had to react on the market pressure, answering a classical client market demand stimulus and a competitor pressure. If Nolan argues that the information systems management focus is concerned with technology per se during the earlier stages of growth, with a transformation point occurring at the completion of stage three (control), after which the focus is on managing the organization's data resources, utilizing database technology and methods (Galliers: page 35), we believe that this shift is not spontaneous or not generated ex abrupto, but that companies have to switch from technological enhancements to data flow analysis for economic reasons, pressed by the market and clients expectations. The revised Nolan model (1989) states also that different parts of a single organisation may well be at different stages of growth with respect to a particular IT (Galliers: pages 35-36), which is clear for IT strategies but also, according to us, for countries and KM initiatives. We tried to demonstrate that international private organisations, implementing decentralised knowledge management projects shifted from knowledge sharing, collaboration and Internet products strategies to local organised teams, coming back to market priorities, like competitor analysis and competitive repositioning using collaboration, knowledge sharing and Internet concepts. Following research on current information systems planning (which is essentially ad hoc in nature) and an additional factor, concerning the focus of the planning effort. In the latter context, Earl argues that the focus has tended to change over the years from a predominantly isolated, information systems function orientation, through an organisational focus to a competitive, environmental focus. Earl's argument is essentially that organisations begin their planning efforts by the first attempting to assess the current 'state of play' with respect to information systems coverage and IT utilisation. Increasingly, the focus shifts to management concern for a stronger linkage with business objectives (Galliers: pages 36-37). We experienced a similar approach within the follow up of a worldwide knowledge management strategy, moving from the systems to the people, 158 Real-Life Knowledge Management: Lessons from the Field concentrating management efforts on change and adoption efforts, tackling more and more business intelligence questions. Conclusions In our article, we have tried to describe a project evolution, following similar IT maturity models (Earl and Nolan principally). Started in 1998 in a major audit firm, the worldwide knowledge management programme had to answer two principal questions: 1. A partner strategic alignment, where major clients were asking for KM competencies in five industry sectors [CIM; ICE; HC; FS; PS]; 2. A market competitive situation, where some KM initiatives were already taken. The answer to those two conclusions was the official launch of worldwide KM projects, proposing to work on three levels: 1. Knowledge sharing; 2. Collaboration; 3. Internet products. The segmentation of those three approaches resulted in tasks definitions and enhancements on content, technology, processes, people and management levels. Of course, and as supposed in the Nolan and Earl models, the development of those solutions was not a one-speed process and change management had to remain a continuous attention point. Seven years later, with a constant effort on maintaining KM structures in place everywhere in the world, a powerful business intelligence tool is answering market needs and is coping with though competitors. Through the KM project, the company achieved a complete coordination of processes and tools, integrated in the daily business people life of more than 100.000 employees. All those internal users can access (internal) tools and libraries, regional intranets and publications, skills and experience systems, servicing clients with collaboration tools and secured web spaces. The conclusions are that none of this is possible without a constant upper level management support, a continuous strategy revised at least on a yearly base, and with a major implication of communication, training and business intelligence marketing people. 159 From Knowledge Management to Business Intelligence Practical Tips and Key Lessons: • Knowledge management strategies are evolving in stages, like for certain IT maturity models (Earl and Nolan); • Management shifts in KM strategies are not accidental. They express a market and client demand pressure; once the decision taken, the management has to support the KM and business efforts with a long term perspective; • International Knowledge management projects embed changes in itself, going from a technical stage to a people focus and, finally, a business intelligence stage. This means that people involved in KM activities are today using tools that have been designed some years ago, shifting from a strict internal KM approach to real market watching management activities; • Project monitoring must be continuous. It required fully dedicated resources in charge of the repositioning of the project scope with market and clients expectations. This remains a continuous research question about the tools and dashboards that can be developed, adapted or created for specific business structures and strategies. Acknowledgements For the development and production of this article, I feel a deep gratitude to my KM team for its help and intelligent support. Thanks also to my family and my wonderful son for being like they are. References Andriessen, D. (2004), Making sense of Intellectual Capital, Elsevier, ISBN: 0750677740. Babhuta, L. (1988) Sustaining productivity and competitiviness by marshalling IT. In Proceedings: Information Technology Management for Productivity and Strategic Advantage, IFIP TC-8 Open Conference, Singapore, March. Becker, B. and Huselid M. and Ulrich D. (2001), The HR scorecard, Harvard Business School Press, ISBN: 1578511364. Bukowitz, W. and Williams, R. (2000), The Knowledge management fieldbook, FT, ISBN: 0273638823. Cohen, D. and Prusak L. (2001), In good company –how social capital makes organizations work, Harvard Business School Press, ISBN:087584913X. Cope, M. (2000), Know your value? Value what you know, FT, ISBN: 0273650327. Davenport, T and Beck C. (2001), The attention economy, HBS Press, ISBN: 157851441. Denning, S. (2001), The Springboard – How storytelling ignites action in Knowledge-Era organizations, Butterworth-Heinemann, ISBN: 0750673559. Earl M.J. (1983) Emerging trends in managing new information technologies, Oxford Centre for Management Studies Research Paper 83/4. In The Management Implications of New Information Technology. (ed. N. Peircy), 1986, Croom Helm; London. Galliers, R. (2003) Strategic Information management, Butterworth-Heinemann, ISBN: 0750656190. Guidelines for KM tools, (August 2002), corporate internal document. Hartman, A. (2000), Net ready, Mc Graw-Hill, ISBN: 0071352422. 160 Real-Life Knowledge Management: Lessons from the Field Harvard Business Review on Knowledge Management (1999), Harvard Business School Press, ISBN: 2708117351. Hirscheim, R., Earl, M., Feeny, D. and Locket, M. (1988) An exploration into the management of the information systems function: key issues and an evolutionary model. Proceedings: Information Technology Management for Productivity and Strategic Advantage, IFIP TC-8 Open Conference, Singapore, March. Knowledge management in Belgium, Roles and responsibilities (rev. February 2005), corporate internal document. Kotler, P. and Dubois, B. (2004), Marketing Management, Pearson Education, ISBN: 2744070408. Neubig, P. (2001), Knowledge Management consulting, corporate internal document. Nolan R. (1979) Managing the crises in data processing, Harvard Business Review, 57(2), MarchApril. Norman, D. (1993), Things that make us smart, Perseus books, ISBN: 0201581299. O'Brien, J. (1999), Management Information systems, McGraw-Hill, ISBN: 0072906111. Overview of the global knowledge management tools, Office of the Global Chief Knowledge Officer, (June 2002), corporate internal document. Peppers, D. (1999), One to one fieldbook, Doubleday publishing, ISBN: 038549369X. Rao, M. (2005), Knowledge Management –Tools and techniques, Butterworth-Heinemann, ISBN: 0750678186. Renard, J. (2004), Théorie et pratique de l'audit interne, éditions d'organisation, ISBN: 2708130390. Rylatt, A. (2003), Winning the Knowledge game, Butterworth-Heinemann, ISBN: 0750658096. Shailer, D. (2001), The project manager's toolkit, Butterworth-Heinemann, ISBN: 0750650354. Spradley, J. (1980), Participant observation, Harcourt Brace College Publishers, ISBN: 0030445019. Thiétart, R-A (2003), Méthodes de recherche en management, Dunod, ISBN: 2100066641. Tiwana, A. (2000), The Knowledge Management toolkit, Prentice-Hall, ISBN: 0130128538. Wiig, K. (2004), People-focused Knowledge Management, Butterworth-Heinemann, ISBN: 0750677775. Author Biography Joël has nearly 10 years experience in knowledge management, change management, learning and adoption programs and international project review for the European Commission. Prior to joining KPMG in 1998, he has been working at SAP Belgium as technical project leader for the end user community and promoting new technology. He has been responsible for designing end users support strategies and leading the project management office program within the Belgian KM department. He has been appointed national expert for the Belgian federal government in 2003 and teaches at the Lerian Communication School. He is currently Chief Knowledge Officer in Belgium. 161 Enabling Cross-Project Knowledge Creation through “Knowledge Oriented Project Supervision” 9 Waltraud Grillitsch Alexandra Müller-Stingl Robert Neumann Real-Life Knowledge Management: Lessons from the Field Enabling Cross-Project Knowledge Creation through “Knowledge Oriented Project Supervision” Assistant Prof. Mag. Waltraud Grillitsch, University of Klagenfurt, Austria (waltraud.grillitsch@biztec.org) Assistant Prof. Mag. Mag. Alexandra Müller-Stingl, University of Klagenfurt, Austria (alexandra.mueller-stingl@biztec.org) Prof. Mag. Dr. Robert Neumann, University of Klagenfurt, Austria (robert.neumann@biztec.org) Abstract The modern economy is characterised by knowledge intensive production processes, increasing specialisation, division of labour and specific customer needs. Companies have to face a stronger competition and the velocity of change has been increasing in the past years as well as the complexity of corporate environments and internal processes. Considering these circumstances innovations and the right management of knowledge become more and more important and are indispensable for future success. The creation of project teams is a familiar and good approach to deal with these challenges. The precondition is that the team and knowledge transfer processes are running smoothly and efficiently. Referring to this more and more companies need to deal with Knowledge Management (KM) in projects and how to organise and institutionalise knowledge transfer and learning as well as how to collect and use project experience and lessons learned. In practice knowledge created in projects often is lost when the team splits up and the members return to their tasks in the organisation. This leads to inefficiency as time and money is spent in inventing things which are already known inside the organisation. A systematic and structured way of sharing and transferring knowledge is required to overcome these problems. The case study provides a concept and process of a successful institutionalisation of “knowledge oriented project supervision meetings”to actively accumulate, transfer and utilize knowledge acquired in projects to improve future business, through the efficient use of resources and the optimization of project workflows. Keywords: Knowledge Orientation, Best Practices, Lessons Learned, Process Improvement, Community of Practice Background Industrial Context The department for business technologies (biztec) is dealing with Knowledge Management in theory and practice; as an industry funded institute we are working in the field of applied research and practical implications for partners and externals. One of our partner companies, dealing with specialised “Customer Relationship Management”(CRM) software wants to optimise processes in 165 Enabling Cross-Project Knowledge Creation through “ Knowledge Oriented Project Supervision” the consulting department. These consultants are responsible for the implementation of the software in banks worldwide. Over 90 % of the turnaround is realised with international customers in Europe, Africa and Asia. Marketing and sales responsible for the acquisition of customer orders; software developers program the individualised software solutions in house. Marketing and sales passes the projects to the consultants; their main task is the implementation of the software on-site at the customer. The consultants are working in different project teams, work overextends them and there is no time to train newcomers. The consultants are specialists in CRM-software but most of them are not experienced in organisational change processes which are accompanying software implementations. The consultants have changing roles in different projects because the project teams are arranged depending on urgency and disposability. They have to be familiar with every detail of the software features to be able to deal with special customer requests. In addition they need competence in consulting, organisational development and change management to ensure a successful implementation of the software at the customer. The project managers are in charge of the coordination of different projects. Due to the fact one teams project manager of one team can be a participant of another team overlaps and bottlenecks might arise. As a result of these conditions the training of newcomers proves to be a long-term process and important projects are predominantly processed by the experienced consultants. To provide good customer service and avoid internal problems the top management wants to improve project management through Knowledge Management. As the enterprise has few experiences with Knowledge Management methods, external partners (biztec) are consulted for the implementation process. The consulting department is selected as Knowledge Managements first field of realisation. The exchange of experience in this area promises a high profit because coordinating the software project processes and the implementation are challenging and frequently similar difficulties occur at different customers. Experiences gained in projects are only partly available for colleagues because they are not systematically shared and documented; exchange of experience happens only through informal talks. If required meetings within the individual project teams are called up; a general and organized exchange between project teams does not take place. Frequent problems and solutions are not analysed and productively used for new projects. Consultants are often out of the office; therefore informal knowledge exchange is difficult. The systematic approach towards Knowledge Management should help to conquer these problems and to discover and use synergy potential. Problem In “knowledge societies” (Schmitz/Zucker 2003), “knowledge economies” or “knowledge era” (Logan/Stokes 2004) knowledge and information streams are exploding. Knowledge cannot be managed like e.g. raw material or machines! Knowledge Management (KM) is mainly depending on people and their willingness to learn and share knowledge. Cooperation and interaction is needed in teams, in departments, between leaders and their employees, between employees and customers/stakeholders to improve knowledge driven processes and procedures. Interventions in systems are difficult because different types of systems demand different kind of actions regarding their special characteristics. E.g. Banathy presents a map of system types in which he describes extreme points for systems like open vs. closed, mechanistic vs. systemic, unitary vs. pluralist, restricted/simple vs. complex and dominating vs. liberating/empowering (Banathy 1996). According to this approach all of them have special rules and mechanisms and therefore interventions have to be planned carefully. Changes in one system also lead to changes in other interrelated systems and major structural changes, called “revolutions”, may lead to changes in several system structures (Barber 1992). 166 Real-Life Knowledge Management: Lessons from the Field Ideally structural change should lead to increased efficiency and a higher systems capacity to adapt flexibly to the environment (Colomy 1990). Autopoiesis and self organisation (Maturana 1985; Greyer/Zouwen 2001; Bolbrüge 1997; Zeleny 1981) as well as the controllability of social systems are important questions in this context. KM plays a crucial role in social systems but it cannot be holistically controlled, it depends very much on the interests of the involved parties and their needs. For a successful implementation specific guidelines and methods are needed. The case study outlines how knowledge and potential for improvement are revealed and how synergies fruitfully used in social systems. Through a knowledge oriented concept the consulting and implementation process of the partner company is optimised and the possibility to integrate organisational change management know-how is given. In this process newcomers need to be involved and a critical reflection of finished and ongoing projects is realised. To establish both, a customer oriented software as well as high quality consulting and improvement processes KM needs to be institutionalised on the long-run. Learning Objectives: • Reasons and pre-conditions for implementing KM • Concept and process of knowledge oriented supervision meetings • Best practices and lessons learned • Barriers and success criteria • Institutionalisation of KM on the long-run Approach The case study describes the concept and process of a successful institutionalisation to foster communication and sharing among the consultants (e.g. learning and reflection about problems and solutions as well as organisational change aspects are supervised by externals) through the use of “knowledge oriented project supervision meetings”. (The term “supervision”is originally rooted in the American linguistic area and means control and/or monitoring (Scobel 1995).) In this process “best practices” and “lessons learned” are explored to foster a better planning and realisation of projects. The consultants have the chance to improve their work and to practice critical reflection. Internal facilitators are trained for a better future knowledge transfer. Furthermore the possibility for holistic learning is enhanced through the documentation and transfer of the results to all involved colleagues. Because of the aforementioned problems and basic conditions in the working environment of the consultants, knowledge oriented project supervision meetings are introduced in order to conquer the increasing pressure of quality in consulting. Project risks like planning-, conversion- and surrounding field risks (Redlefsen 1997) need to be made conscious and prevented purposefully. External supervisors accompany the meetings, in order to ensure that relevant, usable final results in the form of "best practices" and "lessons learned" are developed in the project. In this connection supervision is not top down guided as a form of control, but is organized as a cooperative, critical and steered process. Central aims of knowledge-oriented project supervision are: systematic examination of the own work, the production of ideas and mental impetuses by the experience of others and gaining insight of colleague’s work. The participants develop individual learning and consulting competence through the detailed analysis of projects and the discussion in supervisiongroups, whereby their work is substantially facilitated and professionalized at the customer. The success of knowledge oriented project management lies the balance of the organisational framework and the supporting IT-infrastructure. Each company needs an own specifically designed and adjusted knowledge management solution to foster innovation and the development of business excellent strategies, structures, processes and products. The investment in knowledge management 167 Enabling Cross-Project Knowledge Creation through “ Knowledge Oriented Project Supervision” needs to be directly interconnected with the consciousness and ability to change and transfer the organisation step by step to foster that knowledge transfer processes are running smoothly and efficiently. Referring to this we deal with organisational conditions and introduce a field-tested process model to help organisations to foster knowledge transfer and sharing during and after projects. Case Analysis Implementation of Knowledge Management At the beginning of knowledge management intentions it is necessary to define the strategy and targets of KM attempts. The strategic orientation regarding knowledge-based processes and practices depends on considerations about the organisational purpose. A “strategic architecture” (Hamel/Prahalad 1995) for the purpose of knowledge development has to be created which determines how the specific company will meet the competition in future. This conception contains perceptions about the future of the specific company, formulated in universal metaphors, analogies, symbols and models, which represent the core concepts of the company and clarify the selfconception (Neumann 2000; Neumann/Stingl/Grillitsch 2002a). Management of knowledge concentrates primarily on explicit knowledge which can be seen as one of the slightest parts of knowledge inside an organisation. Through these circumstances the efficiency and actual practicality of knowledge management attempts of this kind can be evaluated as rather superficial. On the contrary the creation of the context for promotional, organisational, general conditions (constraints) is the basis for the generation, transfer, actualisation and usability of knowledge itself. This is why knowledge management should deal with the design of promoting circumstances for the preferential treatment of the resource knowledge. This leads to the demand for “Management for Knowledge” and the necessity of a composition of “contextually sensitive organisational consciousness” and “management knowledge”. The principle of “Management for Knowledge” follows the thesis of system- and structure-theoretical basis, which says that the (re)producing self-developed order in the deep structure of the organisation continuously manages the dealing with knowledge rather invisible through monitoring, interpretation, combination, giving meaning and handling (Neumann 2000; Neumann/Stingl/Grillitsch 2000, 2002a; Neumann/Stingl 2003; Neumann/Stingl/Grillitsch 2004). 168 Real-Life Knowledge Management: Lessons from the Field „Management for Knowledge“ Vision Targets Strategies Leadership „facilitator“ Knowledgeoriented diagnosis & redesign of organisational constraints IT-InfraStructures Implementation Integration Usage Communication-, Feedback-, Reflection- & Learning processes ! intensivation –extension –revision –regeneration „Organisational knowledge“ ! Figure 1: Guidelines of “Management for Knowledge” Active Learning by Project Reflection Rosenkopf (2000) advises to focus on dynamic knowledge networks (e.g. among employees) to realise competitive advantages. These networks influence technological and performance outcomes whereby a systematic approach to information and knowledge is needed. (Rosenkopf 2000). Company project experiences consistently show that projects mostly stay unquestioned. This can primarily be seen as a reflection of the existing project culture of a company, e.g. a company jumps from project to project without questioning relevant criteria for success or failure of specific project steps. If anything is questioned than just who are the ones responsible for the failure: a play of accusing and justification instead of learning from failures and improving systems, procedures or processes in the organisation. Learning from each other seems to be out in the age of “distance learning”via CD-ROM or e-learning tools (Pfeffer/Sutton 2001) but learning by doing and learning from experiences is very effective. In many cases when problems have to be solved or “new avenues to fast track thinking and innovation”have to be explored (Rylatt 2003) bringing different people together helps. For knowledge-oriented project-initiatives it is recommendable to start with the constructive reflection of ongoing or already finished projects. In our case consultants who had to implement a specific IT-system shared their knowledge in continuous project supervision meetings to discuss their project experiences in a structured way. It makes sense to use projects and the consequentially gained “lessons learned”and “best practices”in the sense of Knowledge Management to learn for similar future projects. For that purpose it is only necessary to openly ask and honestly answer critical questions during project meetings and accordingly during a concluding project-review and to document the results: (1) What was good, what was bad? (2) What would we change as a project team, if the project would start again? (3) What did we learn from the specific project? (4) What do we know now and what didn’t we knew before? With questions like that project meetings get a new structure. This certainly means a change in the sense of a knowledge-oriented handling of projects that are always a mirror for the organisation and its organisational culture. The results of the supervision meetings have to be documented and shared with the colleagues, information and 169 Enabling Cross-Project Knowledge Creation through “ Knowledge Oriented Project Supervision” communication technologies are helpful in this context to foster knowledge transfer. The following illustration shows how “Lessons Learned”can be included to improve new project activities. Figure 2: Integration of “Lessons Learned in Project Management Structure of Knowledge Oriented Project Supervision At the beginning of knowledge-oriented project supervision the project which should be discussed must be defined, whereby tasks, goals and strategies are considered and the basic conditions for the project are clarified. On the basis of a prepared, during the meetings supplementable, problem list the causes and background are analyzed. Resuming solution ideas and a process design are developed, which are operationalized and concretized in an action-list. The negotiability and practice fitness of the measures must be evaluated ("obstacle course") through a critical test of the action-list, whereby simulations and worst case scenarios can be used as supporting tools. Due to experiences in projects and reflection in the meetings "lessons learned" are documented and possibilities for improvement are compiled. 170 Real-Life Knowledge Management: Lessons from the Field “Learnings” Project “lessons learned“and titel/topic/tasks decisions, targets – strategies background potential for improvement because of reflection Realisation-efficiency and practicability of developed procedures “obstacle course” critical test of course of action worst-case-ccenario, simulations Course of action Who What Till When Result Competence development Increase of realisation feasibility of integration- and change initiatives Start !? Trouble list Causes Possible solutions & Process-design Figure 3: Knowledge oriented promotion of projects through supervision A structured and clearly communicated procedure for the introduction of knowledge oriented project supervision contributes crucially to the successful process of the project. The transparency of the process reduces uncertainty and contributes to the acceptance by the concerned employees. Conditions and Culture in Knowledge Oriented Project Supervision Meetings The supervision takes place in a multi-personal-setting, i.e. the consultants meet in relatively regular intervals in a "group-system", which stands "differently connected to the institutionalized social systems" (Schreyögg 1991), whereby each participant has the task to actively bring in a "learning project". Per meeting a learning project is presented, discussed and analyzed by the supervision group. “Learning projects”are respective problem fields and challenges as well as solutions from the work of the consultants, whereby the following conditions should be given: • Work basis: The respective subject should be related to the field of activity during the project. • Significance: The questions brought into the supervision group are important for the respective participant (no "alibi" exercises). • Relevance: In the supervision circle behaviour, structure and process questions are raised. • Influence: Each supervision participant has direct influence. • Process: Problem solutions are developed through an ongoing process. • Interaction: Communication and co-operation are crucial preconditions for a problem solution (link to KM: knowledge transfer processes). The work of the project managers turns out to be particularly difficult because of the aforementioned basic conditions. Even more important is their competence development, which should cover five dimensions (Gregor-Rauschtenberger/Hansel 1993): successful innovation management, structural, administrative and constructive project management and project leadership. 171 Enabling Cross-Project Knowledge Creation through “ Knowledge Oriented Project Supervision” Particularly for project managers these transfer-meetings are therefore of high importance because problems and solutions in the individual dimensions are represented and analyzed from an own initiative. This contributes to the motivation of the department, since the individual persons feel better up to their changing roles and tasks as well as challenging projects. The project participants see that no project runs smoothly and that there are always challenges and difficulties to be conquered; problems are addressed and conjoint solutions found. The quality of the supervision meetings depends on the quality of the participant’s contributions and particularly on communication and reflection culture in the supervision group. Supervision acting forms the basis of the "supervision culture" (Petzold 1998), which is coined by perception parameters, normative guidance concepts, interpretation work and action strategies for supervision work. In order succeed the desired supervision culture must be coined and institutionalized from the beginning. The definition of, for the respective context, suitable rules for the supervision meetings is therefore essential during the supervision process. For the successful knowledge exchange between the consultants it is crucial to establish a meeting culture, which promotes the open exchange, the expression of constructional criticism and the development of solutions. Consequently the consultants know the basic conditions of the supervision meeting process and are able to act within this framework and are furthermore able to set interventions. They accept the rules and understand their sense. Furthermore the participants are motivated to examine the adherence of the basic conditions to contribute actively to the design of a productive culture during the meetings. Qualitative team supervision provides the feeling to act in a "safe place", in which the group approximates to sensitive topics guided by a reliable supervisor. Without “direct action and decision pressure”an area for suppressed questions, conflicts and problematic topics is generated where these issues can be addressed, reflected and clarified (Pühl 1998, p. 160). To guarantee a high quality regarding content, the participants receive a precise workflow for the project supervision in the form of a check list. This list assists the consultants in planning the reflection and presentation of their projects whereby the following topics have to be considered: • Project based review • Personal review • Critical reflection of the project • Future prospects (for running projects) • Problem solutions and action list • Critical view of the action list • Learnings and discussion The reflection of the projects along different criteria and the exploration of learning experiences are central for a successful knowledge-oriented project reflection. In this regard the supervisor’s role as a facilitator is demanded to give necessary mental impetuses to the group, without an anticipatory solution or a too strong influence on participants. The use of different observation levels during the supervision process is crucial, whereby e. g. the following three dimensions should be considered (Scala/Grossman 1997, p. 70 ff.): • Personal characteristics of the supervisor • Personal relations and group dynamic • Formal and informal structures of the organisation The supervisor is constantly reflecting the processes to be able to set interventions for the promotion of a target oriented reflection and to foster a fruitful culture within the group during the whole project supervision process. 172 Real-Life Knowledge Management: Lessons from the Field Institutionalisation of Knowledge Oriented Project Supervision Theory and practice show that employees spent about 30 minutes per day to search for needed information to work effectively. This is approximately five per cent of the whole working time. (Heck 2002). Initiatives to share knowledge or to show ways to use knowledge sources help to minimise this search time and the related costs. To use the advantages of knowledge oriented project supervision on the long run the supervision meetings have to be institutionalised in the organisation. In our case the following steps were undertaken: • Commitment of top management for the project supervision meetings • Structured procedure for the implementation • Training of internal moderators • Collection and documentation of “Best Practices”and “Lessons Learned” • Reflection and evaluation of the project supervision meetings • Improvement of the meetings and the documentation according to participants needs • Supporting IT-infrastructure to foster knowledge transfer • Clear roles and responsibilities (in meetings and for documentation) Important for the success of knowledge oriented supervision meetings are open communication and the development of a productive meeting culture. The team has to know exactly what are the sense and the outcome of the meetings and about their contribution. If the team is not yet familiar with each other a team building phase has to be included. In our case two internal moderators were trained and qualified to manage the process after the external supervision phase. To prepare for this new, challenging role the two moderators attended an intensive workshop on moderating knowledge oriented supervision meetings in which following topics are examined: • Basic rules of moderation • Preparation of the moderation • Phases in a moderation process and their characteristics • Role of a moderator • Success criteria for moderation In the supervision meetings the new moderators have the possibility to experience their new role and to further developing their competences. They are supported by the external supervisors, who are mentoring the future moderators in their intervention and reflection processes. So the moderators have the chance to get familiar with the procedure step by step (learning by monitoring and doing) and have enough time to acquire the necessary skills for their new role in theory and practice. From the structure-theoretical point of view an integration and use of knowledge result only if the involved actors (“knowledge agents”) reproduce their knowledge enriched actions, they have to use “lessons learned”and “best practices”in daily work. Furthermore they refer in their interactions to changing structures, sets of rules and resources. Through the spontaneous, in a way self-organised creation of rules, the locally existing knowledge of the knowledge agents is used in the best way. In rules about learning- and selection processes, the knowledge and the experiences of the different experts are integrated. Only through the possibility of relating to knowledge in a current action, knowledge is effective as an “accurate or valid awareness” (Giddens 1984) about a situation or problem. In the collective reflection of activities/projects the problem solving potential is activated. New or improved solutions can be found which leads in our case to process innovation. These 173 Enabling Cross-Project Knowledge Creation through “ Knowledge Oriented Project Supervision” collective activities lead to a self-referential circle and act as a starting point for further actions, which finally shape the identity of the system. Innovation, improvement and new ways of thinking or reflection lead to systemic creativity. Organisational culture/climate has an overwhelming influence on creativity and systemic creativity asks everyone to be a leader. Everyone is responsible for “sparking ideas”and their transformation into “useful innovation”. (Mauzy/Harriman 2003). Knowledge Management has always to do with change whereby the degree of change should suit the aimed purpose to be effective. The most important influencial factors for excellent companies’ performance results and according KMattempts are fruitful relationships among people, result-based leadership, communication and teamwork. (Longenecker/Simonetti 2001). Results and Business Impacts Discussion In the sense of “cultural change” knowledge management projects are always highly complex, multi-dimensional, far reaching challenging areas with numerous impacts (looking right and left, back and forth, etc.), this results in a mostly consequently, concentrated and adjusted way of a cascading realisation of separate steps of change. Rethinking and reframing (change of paradigms, change in consciousness) need to be started at the managerial top-level, because it is transmitted and carried by them. This means a creation of organisational consciousness through kick-off workshops and sensibilisation seminars for the realisation of the organisational processes, the identification of problem areas and for the necessary changes. The top and middle management activity and commitment is an important multiplier for the success of knowledge management initiatives. Through the personal commitment and the willingness to realise KM, multiply available single-activities of KM are constituted as a broad movement.(Palass/Servatius 2001) The main task of managers lies in the creation of a promoting work environment, in which many people have access to established knowledge and are able to act according to it. Managers take the position of role models through their activities. They create standards, through the desired frankly handling and transfer of knowledge (give a limit and demand). Managers need to be the facilitators of knowledge management projects and they should promote management for knowledge as an essential criterion for success. Besides of an evaluation of “present” data, for an analysis and description of the company’s situation, a specific data feedback and a resulting holistic company diagnosis in the sense of “dual management”(hard facts resp. indicators for economic situation, market share, capacity, utilisation, production course, product-market combination etc. and soft facts like character, identity, sense, behaviour, communication, climate, culture, management, etc.), a target-oriented realisation of developed measures and a concerning control of success is necessary. This leads to a cyclic, iterative process in the sense of a rolling planning to realize the whole target “step by step”. Many unplanned side effects, backlashes and blowbacks of separate process steps and systemic interventions need to be played through (in the sense of worst case scenario planning) for the reduction of unexpected effects. The process of diagnosis carries specific importance. The diagnosis does not describe just symptoms, but moreover the actual causes for problems, nuisance, emotions of discontentment and learning-barriers. One should find out, why the organisation is like it is; why specific results are reached, etc. Every organization is perfectly designed (structures, strategies, culture, behaviour, etc.) to get the results, it gets. There are also many different methods, instruments and techniques. We think that the principle of “put the whole system in the room” is the most useful. This means to work together with a representative community of organisational members (picture the organisation with its characteristics and ways of functioning) in a workshop 174 Real-Life Knowledge Management: Lessons from the Field on the possible causes of specific problems. This creates transparency; makes the problem landscape more conscious; decreases one-sided interpretations, prejudices, attribution, fantasies and projections and furthermore promotes an open discourse process. Time plays a mostly underestimated and important role for the initiation of planned knowledge management and change-programs as well as for the right timing (kairos) of interventions (window of opportunity). The related relevant questions are: “How much change is necessary at what point in time?”and “How much change is useful at the present development stage?”Through the ongoing serious, open and collaborative answering of the questions an excessive demand as well as unnecessary burden can be prevented (following the “right”company’s velocity). Communication, exchange of information and media work plays an important, but mostly neglected, role in the sense of „management of knowledge and change“. Communication is essential in each step of the initiative: at the beginning (clear transmission of vision, target, and strategy); during ongoing processes (feedback, report of actual things/intermediate results for motivation). It is essential to consider the right time, intensity, use of media and an informational and communicative language. Team development and team supervision should help to build, develop and reflectively assist teamwork. The separate task and target-oriented configured groups pass consequently the diverse team-dynamic phases of development till they are a powerful, effective, target-oriented, learning and result-responsible team which is based on functional trust. The primary interest of the task force is the improvement of the cause, but they know about the interpersonal relations and their impact on the task’s success probability. The team members need to know about each one’s strengths, potentials, affinities, interests as well as weaknesses for the classification and acceptance of roles. Besides this social competence the teams moreover need to have professional competence and knowledge regarding project management, method and tool use, techniques of decision-making and problem solving. If it is necessary this can be conveyed in separate training elements. Primarily through team supervision the lonesome existence of the realization goal getter is reduced. Different process- and result owners come continuously together in supervisory groups to expand the project specific problems. This means they collectively diagnose the specific starting situation, promoting and hindering framework, plan separate steps of action and alternative processes, reflect and prove them reciprocally and go back to practice with concrete realisation arrangement plans. They use the knowledge of many group-members in similar situations. They interchange knowledge within a community, communicate and pick up role-specific problem areas, expectations and misgivings out as a central theme. That way they can assist each other, what again leads to incentives and staying power. Besides this supervisory meetings (escorted by external consultants in the role of reflectors, process specialists and if necessary responsible for input) the specific teammembers meet each other in the mean time. This helps each other in the way of an “inter-vision”for the specific project-work and leads to an identification and use of existing employee potential. In this article we tried to give a name to premises and requirements, which we think are essential for changes regarding knowledge-oriented initiatives. That this is always getting more important is not questioned, because only fast (willing to change, learn and develop) organisations are able to meet the environmental expectations always for anew with intelligence, innovation, knowledge and the establishment of organisationally specific potential and ability of success. Key Findings and Business Impacts For a successful integration of KM in applied project management and furthermore for an enhancement of excellent procedures cross-project supervision meetings are one possible solution to transfer best practices and lessons learned. These supervision meeting structures crucially contribute on the one hand to the social dimension of enterprises (formal and informal 175 Enabling Cross-Project Knowledge Creation through “ Knowledge Oriented Project Supervision” communication and information) and on the other hand optimise project processes and give the opportunity to learn from already realised projects (not reinvent the wheel!). The following listed key findings are criteria for success if they are considered and treated in a fruitful way. If they are neglected they turn out to be barriers and future trouble areas. • Analysis of the present-situation with self-assessment, employee interviews, management assessment, etc. • Careful diagnosis of weaknesses core-causes • Make resources available • Ongoing observation, reflection and change of contextual conditions • Identification, seriousness and picking up of barriers • Define process-"ownership" • Search and development of promoters, critical mass and multiplications • Promote managerial re-thinking processes and changes in behaviour (e.g.: through management development, behaviour-oriented organisational simulation, etc.) • "Awareness" for psycho-social and complex-dynamic processes within organisations • Promote cross-functional semi-autonomous project work • Create incentives for employee (self) motivation • Install and institutionalise feedback, reflection and learning processes • Develop target group-oriented personnel development qualification, mediation of tools and knowledge) • Define measurement criteria for an evaluation of success (Through: what do we want to realize a successful change process?) • Production of visual, vivid and realised results and transparency of success programs (sensibilisation, ATTENTION: Companies have to be aware that there never exists a guarantee for success. Success lies in the balance of individual, collective and organisational hard and soft facts with “a hint of spirit”. Conclusion The cognitive comprehension about the necessity of an efficient utilisation of knowledge in the company’s code of practice permanently increases, though the company’s pressure of troubles and change in an increasing knowledge competition primarily provides the increasing probability for serious steps towards realisation. For this case not only established theoretical models need to be generated but also feasible ways of implementation. So that knowledge management does not take the rash way from trend to myth. Organisational consciousness, as the ability to think in structures and processes (Buchinger 1997), is the core principle of knowledge oriented project supervision. This competence is developed systematically, supported by external supervisors, through the analysis of projects. The internal moderators as well as the consultants gain the possibility to develop their organisational analytic way of reflection, which is also essential in project realisations at the customer. 176 Real-Life Knowledge Management: Lessons from the Field But even knowledge management is only a kind of construction of reality among many others and does not supply universal rules for the development of companies. It lays in the hand of the company itself to put one’s money where one’s mouth is. Practical Tips and Key Lessons: • Managerial commitment to initiate KM-intentions and for the support during all different stages ensures a successful implementation. • Rolling planning in the sense of incorporation of important learning loops to avoid trouble-shooting in advance establish a designed process. • Agreement on objectives with key players in the organisation leads to a clear vision and strategy. • Take and give time to think, plan, act, reflect and institutionalise for goaloriented and qualitative procedures to guarantee a sustainable result. • Team development and team supervision are essential to increase the teamefficiency and -effectiveness in reaching defined goals as well as in the division and execution of tasks. • Contribute work for media, information and communication to give orientation, ensure commitment and participation and to foster reflection, pro-action and learning. • Use of external resources (e.g.: consultants/trainer) to integrate an external view (e.g.: professional support) for the avoidance of operational blindness. • Identification and use of existing employee potential to motivate the right people at the right time and to promote the process. • Train system thinking to be aware of principles, coherences, interdependencies, interactions and to be able to plan suitable measures, procedures, actors and time frames for the implementation and institutionalisation. References Banathy, B. H. (1996) Contemporary Systems Thinking: Designing Social Systems in a Changing World, New. York. Barber, B. (1992) Dynamic Systems and Social Change: Neofunctionalism and the Theory of the Social System. Colony, P. (ed.), The Dynamics of Social Systems. London. Bolbrüge, G. (1997) Selbstorganisation und Steuerbarkeit sozialer Systeme. Weinheim. Buchinger, K. (1997) Supervision in Organisationen: Den Wandel begleiten. Heidelberg. Colomy, P. (1990) Revision and Progress in Differentiation Theory. Alexander, J. C.; Colomy, P. (eds.) Differentiation Theory and Social Change: Comparative and Historical Perspectives. New York. Giddens, A. (1984) Interpretative Soziologie. Eine kritische Einführung. Frankfurt am Main. Gregor-Rauschtenberger, B. and Hansel, J. (1993) Innovative Projektführung – Erfolgreiches Führungsverhalten durch Supervision und Coaching. Berlin/Heidelberg/New York 177 Enabling Cross-Project Knowledge Creation through “ Knowledge Oriented Project Supervision” Greyer, F.; Zouwen, J. (2001) Introduction to the Main Themes in Sociocybernetics. Greyer, F.; Zouwen, J. (eds.) Sociocybernetics: Complexity, Autopoiesis, and Observation of Social Systems. Westport. Hamel, G., Prahalad, C. K. (1995 Wettlauf um die Zukunft: Wie Sie mit bahnbrechenden Strategien die Kontrolle über Ihre Branche gewinnen und die Märkte von morgen schaffen. Wien. Heck, A. (2002) Die Praxis des Knowledge Managements. Grundlagen – Vorgehen – Tools. Braunschweig/Wiesbaden. Logan, R. K. and Stokes, L. W. (2004) Collaborate to Compete. Driving Profitability in the Knowledge Economy. Canada. Longenecker, C. O. and Simonetti, J. L. (2001) Getting Results. Five Absolutes for High Performance. San Francisco. Maturana, H. R. (1985) Erkennen: Die Organisation und Verkörperung von Wirklichkeit. 2. Edition, Braunschweig. Mauzy, J.; Harriman, R. (2003) Creativity, Inc. - Building an Inventive Organization. Boston/Massachusetts. Neumann, R. (2000) Die Organisation als Ordnung des Wissens. Wissensmanagement im Spannungsfeld von Anspruch und Realisierbarkeit. Wiesbaden. Neumann, R. and Stingl, A. (2003) Knowledge Management Systems and Best Practices. Corporate Management’s Way to Business Excellence. Proceedings of the IADIS International Conference. Lisbon, Portugal. Neumann, R. and Stingl, A. and Grillitsch, W. (2002), “Chances and Risks of Knowledge Management Systems in Interorganisational Competence Centers”. Proceedings of the European Conference on Knowledge Management (ECKM). Dublin, Ireland. Neumann, R. and Stingl, A. and Grillitsch, W. (2002a) Best Practices and Lessons learned in Knowledge Management Projects. Proceedings of the European Conference on Knowledge Management (ECKM). Dublin, Ireland. Neumann, R. and Stingl, A. and Grillitsch, W., (2004) Knowledge-Oriented Project-Initiatives or How Companies Use their Knowledge to Create a Sustainable Order of Knowledge. Proceedings of the Conference on Global Project and Manufacturing Management. University of Siegen, Germany. Palass, B. and Servatius, H.-G., (2001) WissensWert: Mit Knowledge-Management erfolgreich im E-Business. Stuttgart 2001, pp. 68 –75 Petzold, H. G. (1998) Integrative Supervision, Meta-Consultig & Organisationsentwicklung – Modelle und Methoden reflexiver Praxis. Paderborn. Pfeffer, J., Sutton, R. (2001) Wie aus Wissen Taten werden. So schließen die besten Unternehmen die Umsetzungslücke. Frankfurt am Main. Pühl, H.: Team-Supervision (1998) Von der Subversion zur Institutionsanalyse. Göttingen. Redlefsen, Ch (1997) Von der Supervision zu Projektberatung. Salzburg. Rosenkopf, L. (2000) Managing Dynamic Knowledge Networks. Day, G. S. and Schoemaker, P. J. H. (eds.): “Wharton on Managing Emerging Technologies”. New York. Rylatt, A. (2003) Winning the Knowledge Game. Smarter learning for business excellence. Oxford. Scala, K. and Grossmann, R. Supervision in Organisationen: Veränderungen bewältigen – Qualität sichern –Entwicklung fördern. München. 178 Real-Life Knowledge Management: Lessons from the Field Schmitz, Ch., Zucker, B. (2003) Wissensmanagement. Schnelleres Lernen im Unternehmen. Regensburg. Schreyögg, A. (1991) Supervision: Ein integratives Modell – Lehrbuch zu Theorie & Praxis. Paderborn. Scobel, W. A (1995) Leitfaden zur Supervision. In: Wilker F.-W. (Hrsg.) Supervision und Coaching –Aus der Praxis für die Praxis. Bonn. Zeleny, M. (1981) Autopoiesis: A Theory of Living Organisation. New York. Authors’Biographies Assistant Prof. Mag. Waltraud Grillitsch is researcher/member of the Knowledge Management project group of the department for eBusiness/ Business Technologies (biztec) and lector at the department for Organizational, Human Resources and Management Development at the “Alpen Adria” University of Klagenfurt. She is writing her Ph.D. Master thesis in the field of Knowledge Management in corporate networks and is studying journalism at the University of Klagenfurt. She is working in specific company projects in the region. Assistant Prof. Mag. Mag. Alexandra Stingl is researcher/member of the scientific staff at the department for eBusiness/ Business Technologies (biztec) and lector at the department for Organizational-, Human Resources and Management Development at the “Alpen Adria”University of Klagenfurt. She is working on her Ph.D. master thesis in the field of knowledge oriented Change Management on the way to Business Excellence. Besides research and teaching activities she is working in different company projects in the region. She studied Business Administration and English in Klagenfurt, Newcastle (Australia), Beijing and Shanghai (China). She is member of the editorial board of the Electronic Journal of Knowledge Management-Management Centre International, London. Prof. Dr. Robert Neumann is associate professor at the department for Organizational-, Human Resources and Management Development as well as senior researcher at the department eBusiness/ Business Technologies (biztec) at the “Alpen Adria”University of Klagenfurt. He is the scientific head of the General Master of Business Administration MBA program „Advanced Academic Business Manager“at the “Alpen Adria”Universität of Klagenfurt and partner of the Transformation Consulting Group (St. Gallen/München). His scientific and consulting focus concentrates on Change- and Knowledge Management in private-/public- and non-profit-organisations. He is member of the editorial board of the Electronic Journal of Knowledge Management-Management Centre International, London. 179 10 Sharing Knowledge Between Generations: a Case Study about Managing Apprenticeship in Italian Districts Marco Ruffino Real-Life Knowledge Management: Lessons from the Field Sharing Knowledge between Generations: a Case Study about Managing Apprenticeship in Italian Districts Marco Ruffino, IRSEA - Istituto di Ricerche sulla Società e l'Economia dell'Apprendimento (IT) and University of Bologna (IT) (m.ruffino@learningvision.net) Abstract The case study analyzes objectives, methodology and outputs of a tool (KAT - Knowledge Apprenticeship Tool) tested on a group of SMEs in Emilia-Romagna Region (Central Italy), conceived to evaluate the coherence of the learning resources owned and used by the apprentices and the enterprise. The tool aims at supporting (micro) decision processes related to labour organization and human resources management, in order to improve contextual knowledge transmission and to reduce the weight of critical factors. The audit model is based on Nonaka’ s knowledge management processes (socialization, exteriorization, combination, and interiorization) with regard to three typologies of variables: capability, possibility and willingness to share knowledge. On the whole, over 70 weighted variables have been sorted out, and for each of them a Likert-like measurement scale has been conceived. Besides operating the model, the test highlighted SMEs’scarce attention to planning and management of relations between expert workers and new recruits, against an ever-less availability of resources (time, attention … ) to invest on knowledge reproduction processes. Another critical factor is the scarce integration between formal and non-formal learning, which urges to think over pedagogies in knowledge management logic. Keywords: Knowledge Sharing; Knowledge and Learning Audit; Competencies; Apprenticeship; SMEs. Background Industrial Context The role of small-firm systems – especially those organised in local production systems and industrial districts –has attracted attention as a distinctive feature of Italian economic development (Crouch et al. 2001), especially in the so-called “Third Italy” (Regions like Emilia-Romagna, Veneto, Marche, Umbria, ..). In a few words, a district is a local production system based on a “network of SMEs networks” characterized by a high division of labour (each firm focuses on a specific process segment) and, at the same time, by a strong capacity of coordinating production devices, thanks to low transaction costs. This is mostly due to the presence of not only marketdriven regulations, typical of the social and institutional features of the local communities, and specifically to the ability of sharing common values and competencies. 183 Sharing Knowledge Between Generations In terms of knowledge economy, a district is an economic and social area characterized by an effective sharing of distinctive knowledge, mainly empirical and tacit, developed through collective learning processes over time, largely based on cross-communities of practice (Wenger, 1998). This allows competition (among enterprises) on one side and cooperation (among individuals) on the other, through learning by interacting and learning by reusing processes, which in turn support the development and diffusion of incremental innovation. The competitive capacity of a district is therefore strictly connected to the capacity to manage its shared knowledge (Rullani, 2004), maintaining a balance between reproduction and innovation over time. The change of the competitive system, determined by market globalisation, by a different international division of labour and by technological innovation, often has a critical impact on districts. In terms of knowledge economy, it brings three negative effects: • higher key knowledge (re)production costs, caused by the loss of efficiency of transmission processes (due to the higher flexibility demanded to labour force and to the reduction of onthe-job training); • probable less return on investment in learning, due to high staff turnover, especially those with distinctive professional competencies; • less proportion of unemployed to invest in learning, preferring to achieve those “practical skills”which are heavily losing social value. In many cases the local intangible assets (knowledge, connections between enterprises, social capital) are “consumed” before they can be reproduced and innovated: as to say, the speed of collective learning processes is lower than the evolving speed of exogenous competitive factors. The districts’spontaneous social capacities seem less and less adequate to guarantee an adequate management of the requested knowledge (Albertini, 2002). One of the reasons of districts’weakness is SMEs’reduced capacity to manage their knowledge, in response to the broader trouble of evolving from a “material culture” to an “intangible assets culture”. SMEs’knowledge is mainly informal and not stored; they have scarce awareness of its value as a competitive factor; they have scarce economical, organisational and know-how resources to invest on the creation and maintenance of knowledge capital (CEN, 2004). Meantime, SMEs’ social and productive characteristics are coherent with a knowledge-oriented vision, if they are suitably managed: in theory, the strong weight of relational capital and of social networks reduces the costs of professional resources integration; the organisational flexibility arising from the “strength of weak links” may reduce the cost of day-by-day adaptation processes; in many cases, SMEs are better than big enterprises in producing and managing the “multiplicity”(of situations, resources, … ), with considerable effects in terms of creativity, innovation and use of cognitive capacities. The response to SMEs and districts’new needs requires knowledge-based economical policies, integrated with technological and organisational innovation policies (Corso et al., 2003). An important aspect is the qualification of education and vocational learning systems (formal learning) and of apprenticeship, the lasting reproduction process of knowledge –largely tacit and empirical – that gives rise to local productive capacity. Nowadays, it stands clear that expert workers often lack of adequate capabilities of knowledge transmission and that new recruits often lack of learning capacity (ENFEA, 2002). In particular, the cost of learning frequently seems higher than the immediate economical value of transmitted knowledge, and this proportionally reduces the social willingness to undertake knowledge transmission processes (Ruffino, 2001). Problem Considering the above situation, a key target of economical, educational and vocational training politics is the reduction of distinctive knowledge transmission costs, locally and at an enterprises’ stage. Apprenticeship is central to this strategy, both in regulations (Italian labour contract reform) 184 Real-Life Knowledge Management: Lessons from the Field and in methods (development of pedagogic models enhancing integration between formal and nonformal learning), and many innovative projects are being developed, some at an experimental stage. In Emilia-Romagna Region the most important consortium managing apprentices’ learning activities (Consorzio Formazione & Lavoro, “Training & Work Consortium”) wants to work out and test a specific KM model for improving apprentices and enterprises capacity to manage their cognitive relations, removing/diminishing hurdles in knowledge transmission. The model is part of a broader strategy of quality improvement in vocational training offer (CF&L, 2005), which aims to define customised vocational training plans for each apprentice. These plans are based on a better integration between formal learning (delivering knowledge fundamentals in order to enhance the quality of contextual learning processes) and non-formal learning (developing the practical teaching capacities and the enterprise’s tutorship). Learning Objectives: • To define practical knowledge transmission problems in SMEs-apprentices relationship; • To define and test a structured approach of knowledge audit, aimed to understand the critical factors of the SMEs-apprentices relationship; • To define strategies for improving learning processes, especially in the relation between formal and non-formal learning. Approach The case study reports the outputs of a test coordinated by the author during 2004, on behalf of Consorzio Formazione & Lavoro, aiming to define and test an easy-to-use Knowledge Apprenticeship Tool (KAT), addressed to trainers and expert workers and conceived to evaluate the coherence of the learning resources possessed and used by the apprentice and by the enterprise with the kind of knowledge to transfer. The final target of the test is to facilitate the initial diagnosis of training needs and the following monitoring of accomplished learning, improving decision making upon management of workers placement. An indirect output expected by using the tool is an improvement of SMEs’capacity to think about its KM capacities in an organisational development approach. The obtained outputs have been analyzed and discussed also referring to the broader reform process of educational and vocational training systems ongoing in Italy, with special regard to formal and non-formal learning alternation models. Case Analysis The Knowledge Apprenticeship Tool development The KAT has been conceived as a tool representing the apprentice-organisation relationship in a more objective and transparent way, in order to support the micro-decisional processes of human resources and production factors management. The development of KAT urged to face two different problems: i) the definition of a theoretically solid model of KM audit and ii) the development of a simple and quick-reference interface for the first users, i.e. the training and enterprise tutors dealing with apprenticeship at a pedagogic level. 185 Sharing Knowledge Between Generations Theoretical Framework The aim of the tool is to support the evaluation of: • the coherence of the learning relation between the apprentice and its organizational context, in order to estimate the efficiency of cognitive resources use; • the intensity of the cognitive resources involved in the relation, in order to identify possible constricting factors. The objective difficulties in knowledge “measuring”(OECD, 2003) and the need to reduce audit cost leaded to choose a comparative evaluation model, based on a comparison of the state of the resources used by each member of the relation, rather than on a direct exam of the relation in itself, which would require a longer time and more complex analysis tools. Coherently with a KM oriented approach, the tools needs in fact to be directly and easily used by the persons in charge of the apprentice’s placement (“enterprise’s tutors”), in order to facilitate “in context” decision making. The comparative evaluation brings two needs: • to have a set of common landmarks shared by the different players of the relationship (the “touchstones”that allow the comparison between different objects); • to have distinct sets of observative variables, defined considering each actor’s characteristics and position in the relationship (e.g. the subject who has to learn or the one who has to transmit knowledge). This exigency led to the architecture of the audit model, based upon the following choices: 1. Simplifying the relation up to just two “players”: an individual (the apprentice) and a “collective subject”, as to say the specific part of workspace where the individual works, made by the sum of the expert professionals working there and of the organizational resources (model of work division and coordination; procedures; use of time; cultural values; … .); 2. Assuming as a common reference the knowledge management macro-processes described in the well-known Nonaka and Takeuchi’s model (1995), evaluating for each of them the level of cognitive resources involved. A correct approach of KM indeed requires looking at the relation between expert workers and new entries not only as knowledge transfer from the first to the second ones, but broadly as an opportunity of “hybridization”among practical and theoretical knowledge. In fact, more and more apprentices show a good level of formal education, in many cases better than the tutors’ one, and this potentially represents a resource for the entire organization for supporting exteriorization and combination processes. It is therefore correct to talk about “sharing”, even though asymmetric, rather than about “transmission”. This approach focuses on the capabilities of i) using theoretical knowledge as a resource for representing and learning practical knowledge and ii) using work experiences to give theoretical knowledge new meanings, in order to “mobilize”and make them productive (CEDEFOP, 2004). Evaluating the involvement of the apprentice and the organization in knowledge sharing processes with regard to three kinds of resources (Figure 1.): • “learning/transmitting capabilities”, as to say: a) for the apprentice, having those meta-competences which enable him to activate and manage cognitive processes coherent with the kind of knowledge and resources typical of formal and informal learning contexts; b) for the organisation, having the competencies of managing its own knowledge (explaining and representing capabilities, pedagogic skills, ..); • 186 “learning/transmitting possibilities”, as to say: Real-Life Knowledge Management: Lessons from the Field a) for the apprentice, having the essential knowledge and personal features (physical and mental abilities, … ) to understand instructions and to reprocess experience; b) for the organisation, offering the organisational resources (time and working conditions, expert workers, availability of information, cognitive division of work stages, … ) necessary to accomplish learning processes; • “learning/transmitting willingness”as to say: a) for the apprentice, the rate of involvement and willingness towards the specific position and role assigned by the enterprise; b) for the organisation, the coherence between behaviours and ways of knowledge transfer (acknowledgment of knowledge value; importance recognised to socialisation and externalisation processes, … ). Learning/transfert capabilities Apprentice learning potential not efficiently used in the apprenticeship relation Overlap area: effective knowledge transfert Learning/transfert possibilities Organization learning potential not efficiently used in the apprenticeship relation Organization learning characters Learning/transfert willingness Apprentice learning characters Figure 1: The analytical dimensions of knowledge sharing Audit Variables The theoretical model was put in practice defining, according to literature suggestions, 77 observative variables, 50 concerning the apprentice and 22 the organization. A stronger emphasis on the apprentice arises from the need to deepen two different aspects: i) the level of owned knowledge, especially the one deriving from formal learning, and ii) his/her behaviour in knowledge sharing process. On the other side, the organization is examined with almost exclusive regard to the latter aspect. Each variable has been assigned a theoretical weight and a measurement scale, conceived on a Likert-like logic and accompanied by brief explanatory profiles for each assessment stage, in order to accomplish a “realistic” evaluation by enterprise’s tutors. Table 1, summarizes the main typologies of the used variables. 187 Sharing Knowledge Between Generations Table 1: Typologies of variables used for the audit Knowledge processes Players Apprentice Organization Socialization Quality of: comprehension and management of social relations, comprehension and respect of procedures, formal and functional hierarchy. Degree of loyalty and trust. Degree of belonging to possible communities of practices. Formal and effective model of labour division and coordination. Human resources structure in terms of age, length in service, skill and provenance. Capability and willingness of social interaction. Knowledge sharing trend. Intensity of the resources made available to the apprentice. Exteriorization Quality of empirical recognition of the key elements of the labour context. Quality of reconstruction of one’s own work experience as “cause-and-effect”relations. Capability of oral and written communication of experience to colleagues and to other possible subjects. Level of activities formalization. Existence and use of quality systems and of non conformities recording system. Frequency of explanations to be given to third parties. Level of causal knowledge in the organization. Combination Quality of information sources research. Level of use of theoretical and formal knowledge in explaining phenomenons and consequent adopted behaviours. Approach towards formal learning. Interiorization Quality of contextual learning processes: importance of improvements in the capacity of using technological and organizational resources, of understanding and controlling variances; social relations management. Frequency and quality of finding and using written sources. Way of decision taking with regard to innovation needs or solving persistent problems. Presence and efficacy of continuing training practices. Quality of contextual learning processes: importance of improvements in the capacity of using technological and organizational resources, of understanding and controlling variances; social relations management. Tool Output The main target of KAT outputs is to encourage the cognitive activation –in the sense of “enacting” given by Weick (1979) – of the actors involved in apprenticeship, helping them to become more aware of the KM aspects coming into play. Rather than giving “answers”or “keys”to the best way for knowledge sharing management, the approach intends to spark questions which can lead to a less “obvious”– i.e. as much as possible independent of enterprise’s original culture - formulation of the problem. This meets a theoretical trend sustaining a tight relation between knowledge management and organizational learning (OECD, 2000), the second one being the cognitive fundament of the first. Without an effective management of collective (i.e. common to all the organizational players) learning it is impossible to manage enterprise’s knowledge effectively. At the moment the tool provides two kinds of output: • the synthetic comparison between apprentice and organization’s profiles, which highlights the intensity and the four macro-processes of knowledge management overlap degree (Figure 2.). The graphical model, very simple and therefore scarcely precise, intends to represent in a single image the audit’s main features, enabling a global and partly “implicit”perception of the result. The elements striking the eye (without knowing well why, potential problems are immediately detectable looking at the figure) are the extent level of the different processes and the different profiles of apprentice and organization; • a degressive ordered list of the most critical factors, based on the intensity of their components (the audit variables) and on the distance between the apprentice and the organization (as to say the problems due to non-efficient use of learning potential). This second (analytical) output wants to stimulate the players (starting from the enterprise’s tutor) to improve either the specific 188 Real-Life Knowledge Management: Lessons from the Field features of the apprenticeship (e.g. apprentice’s work insertion) or, broadly, Knowledge Management inside the enterprise (e.g. coordination processes, level of labour cognitive division, presence of procedures and “memories”, etc.). Exteriorization Socialization Interiorization Combination Apprentice profile Organization profile Figure 2: The KAT’s main output: a comparison between apprentice and organization profiles The outputs come out from a specific heuristic empirically defined, which revises the different weighted variables re-conducting them – for each process – to the three categories of capabilities, possibilities and willingness. The algorithm employed considers some effects of mutual conditioning of the variables, using an “if … then”logic. Testing the KAT The tool was tested on 25 industrial SMEs belonging to 5 local productive systems of EmiliaRomagna Region, for a total amount of almost 40 apprentices, in order to verify: • the coherence of the methodology; • the intelligibility of the variables (especially the measurement scales) and of the outputs; • the usefulness of the audit results for managing the relations within apprenticeship. The tool was presented to a group of enterprise’s tutors in a specific training seminar, where the underlying KM principles and the audit variables were discussed. The seminar also represented an opportunity to evidence the main problems of apprenticeship management, substantially confirming the critical factors underpinned by literature. Tutors were requested to: i) express an empirical and de-structured evaluation, independent from the tool, of the state of the “apprentice-enterprise”relationship; ii) set value on each audit variable for every “apprentice-enterprise”relationship; iii) appraise the intelligibility of the questions and of their measurement scales. Tutors’ answers for each “apprentice-organizational context” couple were elaborated by the research group of Consorzio Formazione e Lavoro according to the given heuristic, and the audit 189 Sharing Knowledge Between Generations outputs were then compared with tutors’empirical evaluation, analyzing the reasons of possible significant variances. The outputs of KAT (redefined, if necessary) were then given back to enterprise’s tutors, thus verifying their intelligibility and their potential usability for improving apprenticeship management. In general, enterprises’tutors appreciated the tool, first of all because it offered the chance to reconsider knowledge transmission processes to newcomers systematically and more objectively. At the same time, the main negative remarks were: i) the considerable amount of time required to survey all the audit variables; ii) in some cases, the uneasy comprehension of some item and measurement scales; iii) the difficult full use of audit outputs in managing apprenticeship. Two fundamental problems emerged: • on one side, SMEs still have scarce capability to “represent”their knowledge and the related transmission processes. Many questions seem “difficult” because SMEs aren’t fully conscious of all the factors that influence knowledge system reproduction. Therefore, in many cases, the tool represented more a chance for “asking oneself new questions” rather than for “giving oneself new answers”. In fact, even when tutors understand the problems, they have troubles in rethinking the organizational management of apprenticeship; • on the other side, at the moment in Italy it is very difficult to provide apprentices with a customized formal learning offer, able to meet the needs pointed out by the KAT. This reduces the potential of the tool, in this case for reasons not dependent on its logics. All the gathered informations led to the revision of KAT both in terms of model (reformulation of some variables; change of the weighs determined by the heuristic) and of textual formulation (way of proposing questions). Results and Business Impacts Key Findings The test pointed out the following important statements: 1. The original working theory is confirmed: reading apprenticeship under a knowledge management logic is possible and useful (also for SMEs), and it helps to have a broader vision of the conditions enabling a better cognitive relation between the apprentice and his/her organizational context. This implies the importance of regarding apprenticeship not only as a transfer of knowledge from experts to new entries, but rather as an “asymmetric” knowledge sharing, which implies the relation between formal and non formal learning. 2. The adopted audit model seems correct with regard to the method (logics, audit variables), but it needs some further developments in users interface (“enterprise’s tutors”, management, apprentices themselves) and especially in heuristic, still too much dependent on the analysis and interpreting competences owned by the users. The introduction of a FCM - Fuzzy Cognitive Maps (Kosko, 1998) - heuristic is under examination, in order to represent the relation between the different variables in a less deterministic way. 3. Anyway, the primary aim of KAT is to draw the attention and the collective learning processes of the enterprise on knowledge management topic, helping the players to examine the apprenticeship relation in a “non obvious”way and to think about the cognitive working of their production system; Within the limits of the examined sample, the tested SMEs evidenced four critical factors: 190 Real-Life Knowledge Management: Lessons from the Field • tacit knowledge at the base of the productive process is not located and represented enough, and this heavily increases transmission costs; • integration between formal and non-formal learning is considerably difficult, with negative effects on the relation between empirical know-how and theoretical know-why. Notably, theoretical explicit knowledge seldom facilitates a better understanding of practical knowledge obtained with working experience, thus increasing learning costs; • expert workers find it difficult to adopt “pedagogical” behaviours consistent with the kind of knowledge they have to transfer. There is an overall scarce attention to knowledge management, due to the habit of considering learning processes between generations as a “natural fact”, and possible problems as just “cognitive limits”of the apprentice (rather than of the “apprentice-organization”relation); SMEs have less and less organisational resources dedicated to their knowledge reproduction, due to the need to reduce costs and time because of the new competitive scenario. “Cognitive economies” which historically favoured SMEs settled in industrial districts are decreasing day by day because of globalization and of changes occurring in local social dynamics. Critical factors of apprenticeship and broadly of knowledge transmission between generations seem much more understandable if a knowledge management approach is adopted (Ruffino, 2005). This leads to reconsider current pedagogies with special attention to: i) the individualization of formal learning; ii) the highlight of relations between know-how and know-why (Lundvall and Johnson, 1994); iii) the strengthening of local networks of knowledge transmission (Trentin, 2004), in learning region logic (OECD, 2001). Business Impacts In perspective, two are the expected impacts: • costs reduction and higher effectiveness of apprentices’ vocational training outside the enterprise, supporting their on-the-job learning. To achieve this goal, a more precise needs diagnosis is requested, with special regard to representation capabilities and to work habits necessary for learning-by-doing and learning-by-interacting; • higher enterprise’s attention towards KM, scheduling specific consultancy interventions and support to apprenticeship management in order to improve skills in setting out tacit knowledge and in managing contextual learning processes. Expected developments of the project (referring to June 2006) are tuning up the tool and putting into place training of enterprise’s tutors in order to achieve three goals: • developing an Internet version of KAT integrated with apprenticeships database in EmiliaRomagna Region, making audit virtually possible; • strengthening the actual heuristic, in order to have a more detailed output of audit, as a support for planning apprentices’customised training activities; • having a standing observatory of the state of apprenticeship, regarded as KM practice, and working in a benchmarking perspective on a middle turn, especially with enterprises of the same district. Conclusions Transmission of knowledge from productive organization to the new recruits is the key process of the reproduction of an enterprise’s distinctive knowledge. The usual apprenticeship practices, based upon alternance of classroom training and on-the-job coaching by expert workers, look more and more insufficient, also in network productive systems like districts. Reconsidering apprenticeship in 191 Sharing Knowledge Between Generations terms of KM, especially in SMEs, is the key to define new pedagogies aimed to integrate formal and non formal learning, know-how and know-why. Within this logic, it seems useful and productive to give the enterprise tools (like the experimented KAT) to diagnose the “cognitive quality” of the apprenticeship, especially if the tools facilitates the activation of organizational learning processes, at the heart of every knowledge management practice. Practical Tips and Key Lessons: • Apprenticeship can be analysed and managed in a knowledge management logic, favouring a knowledge-management-centered approach rather than a knowledge-transfer one. • The developed audit tool seems to be correct as regards the method and the analysis capacity. The main limiting factor is SMEs’scarce level of competences in human resources and knowledge management. By now, the tool works more for “ asking questions”rather than for giving effective answers to knowledge reproduction problems. • Knowledge management requires to activate and manage organizational learning processes: the final aim is the overlap of enterprise’ s productive assets (“ work” ) and cognitive assets (“ knowledge reproduction and innovation” ). • Even in districts SMEs show ever-higher difficulties in preserving and innovating their knowledge capital, due to high transmission costs (problems of cognitive efficiency), to scarce awareness of knowledge management exigencies and to continuous reduction of resources (coaching time) invested in learning processes. • Nowadays, a strongly limiting factor is the insufficient connection between formal and non-formal learning. Explicit and formal knowledge is not much used to reduce the costs of tacit and contextual knowledge learning. The relations between know-how and know-why still remain difficult. • A revision of the methods of alternance and integration between formal and non-formal learning is required, as well as a higher individualization of learning offer in apprenticeship. The relations between education, vocational training and enterprise have to be revised on territorial level. The “ learning region”is an important reference in this sense. Acknowledgements Special thanks to Mr. Edoardino Cavalletto and Mrs. Maria Elena Romanini, Consorzio Formazione Lavoro, for the role played in testing the tool, and to Mrs. Paola Morini, IRSEA, for the editing of this paper. References Albertini S. (2002), La gestione delle risorse umane nei distretti industriali, Etas libri, ISBN: 88453-1183-X Cavalletto E. (2005), Consorzio Formazione & Lavoro: tre anni di attività nel settore della formazione e dell’apprendistato, GMPR group (in press). CEDEFOP (2004), European perspectives on learning at work. The acquisition of work process knowledge, CEDEFOP, ISBN: 92-896-0273-2 Corso M., Martini A., Paolucci E., Pellegrini L. (2003), Knowledge management configurations in Italian small-to-medium enterprises, Integrated Manufacturing Systems, Vol 14, No. 1. 192 Real-Life Knowledge Management: Lessons from the Field CEN (2004), European Guide to good Practice in Knowledge Management. Part III – SME implementation, CEN Crouch, Le Galès, Trigilia, Voelzkow (2001), Local Production Systems in Europe. Rise or demise?, Oxford University Press, ISBN: 0-19-924251-8 ENFEA (2003), Indagine nazionale sui fabbisogni formativi nella piccola e media impresa. Fabbisogni professionali e sistemi di sapere, Neos Edizioni, ISBN: 88-88245-04-9 Kosko B. (1986), Fuzzy Cognitive Maps, International Journal of Man-Machine Studies, 24. Lundvall B-A and Johnson B. (1994), The learning economy, Journal of Industry Studies, 1, No 2. Nonaka I., Takeuchi H. (1995), The knowledge-creating company, Oxford University Press, ISBN: 0-195-09269-4 OECD (2003), Measuring Knowledge Management in the Business Sector, OECD, ISBN: 92-6410026-1 OECD (2001), Cities and Regions in the New Learning Economy, OECD, ISBN: 92-64-18568-2 OECD (2000), Knowledge Management in the Learning Society, OECD, ISBN: 92-64-17182-7 Ruffino M. (2005), L'apprendistato come pratica di gestione della conoscenza, in Cavalletto E. (eds), Consorzio Formazione & Lavoro: tre anni di attività nel settore della formazione e dell’apprendistato, Bologna, cit. Ruffino M. (2001), Formazione continua e competenze delle PMI. Modelli, strumenti e standard al tempo dell’economia dell’apprendimento, Franco Angeli, ISBN: 88-464-2906-0 Rullani E. (2004), Economia della conoscenza, Roma, Carocci, ISBN: 88-430-2839-1 Trentin G. (2004), Apprendimento in rete e condivisione delle conoscenze. Ruolo, dinamiche e tecnologie delle comunità professionali on-line, Franco Angeli, ISBN: 88-464-5165-1 Weick K. (1979), The Social Psychology of Organizing, 2d ed., Random House, ISBN: 0-07554808-9 Wenger E. (1998), Communities of practices. Learning, Meaning and Identity, Cambridge University Press, ISBN: 0-521-66363-6 Author Biography Marco Ruffino is the President of IRSEA - Research Institute on Learning Economy and Society; Director of Koinè – Knowledge in Network, both based on Genoa (Italy). He is teaching: "Knowledge management" at the University of Camerino; "Decision and cognitive processes theories" and "Socials Network Analysis" at the University of Bologna; "Continuous vocational training needs" at the University "La Sapienza" of Rome. Professional since 1985, he carries out research, planning, advisory and training activities in the following fields: learning organisation and knowledge management; learning region and network systems; work analysis, professional needs diagnosis, planning and methodological innovation of initial and continuing vocational training; policy and decision making of education, vocational training and social politics. 193 11 Knowledge based Methods in Cost Reduction Processes Roberta Cuel Real-Life Knowledge Management: Lessons from the Field Knowledge Based Methods in Cost Reduction Processes Roberta Cuel, Dept. of Computer and Management Science, University of Trento (Italy) (roberta.cuel@economia.unitn.it) Abstract This document describes some of the typical knowledge management processes that a consulting company has to go through when dealing with cost reduction. This analysis aims at understanding how consultants manage knowledge in order to effectively produce value from their activity. In particular, our study has been focused on social aspects, namely the relations among individuals that allow people to improve their productivity in terms of expertise in the service activity and innovation of products and solutions. By considering the tacit dimension of knowledge, the persistency of old procedures and routines, the difficulty of unveiling knowledge from social networks, we have attempted to analyze the firm through the ethnographic methodology. In other words, we observed some work activities within the firm (the author and some students have participated to the daily activity of the company) and interviewed some important members of the firm. The interviews have stressed the analysis of knowledge management processes according to the “sense-making approach”. Following this approach, we will describe how consultants develop a project of costs reduction, how they manage knowledge in order to obtain the maximum profit by making innovation, and how they will reuse their knowledge. Keywords: cost management in outsourcing; costs reduction processes; behaviours and processes; sense-making theories. Background In dynamic markets (characterized by work specialization, outsourcing processes, just in time and distributed productions, etc.) companies have moved from hierarchical structures to networked models, based on both intra-organizational networks among strategic units, divisions, groups, and so on; and inter-organizational networks, such as industrial districts and knowledge networks (Hamel & Prahalad, 1990). In these last decades, firms are increasingly focusing their attention on their core competencies, outsourcing a higher percentage of the total costs of their products. One of the main explanations for this attitude derives from the fact that suppliers provide products with lower costs, higher functionality, quality, and technologies, due to the partition of the production chain to different operators. In this scenario, various specialized activities and groups (Ashby; 1956; Numagami, Ohta & Nonaka, 1989) might not totally be controlled by a unique subject, and might grow and differentiate their activities in an autonomous way. These subjects (buyers, suppliers, brokers, etc.) manage knowledge according to personal interests, often in order to achieve antagonistic aims. Thus they will cooperate, and at the same time compete, in various stages of the product life cycle (design, production, and distribution phases), coexisting as in a bio-functional system (Maturana & Varela, 1980) and creating unexpected combinations of processes and products 197 Knowledge Based Methods in Cost Reduction Processes (Chandler, 1962). This coopetition (a blend of cooperation and competition) is practically managed by various techniques such as franchising agreements, outsourcing processes, R&D collaborations, participation to joint ventures and joined spin offs, etc. (Domberger, 1998). The complexity of these processes, and the encountering of different perspectives and interests, increases the difficulty of negotiation processes among different organizations (Cooper, Slagmulder and Drucker, 1999) and cost management processes dependent from various actors and organizations. In this scenario, cost management encompasses a broader scope than in the past, and the increasing trends of partnership participation, outsourcing processes, de-localization of productions, etc. force organizations to accurately manage the total costs of their products even if an increasing amount of items do not rely upon their core competencies. Therefore, specialized expertises and competencies are necessary to effectively manage costs, and new practitioners and consultant firms are offering their specialized knowledge and skills. Industrial Context In this work, a paradigmatic case study is described. Creactive Consulting S.p.A. is an Italian consulting company in cost management for medium and large firms (Creactive, 2005). Established in year 2000, now Creactive Consulting S.p.A. is specialised in offering cost management services such as: expense reduction projects for a specific cost area (e.g. logistics, tools), projects for one specific expense category (e.g. express delivery) or special jobs for critical areas. In year 2004 Creactive Consulting S.p.A. has set up an effectiveness partnership with ACP (an IT company) to develop semantic based technologies and tools aimed at supporting cost management processes, managing catalogues, and comparing products and services. The consultancy firm, composed by 6 partners and 40 experts in cost management, has carried out many projects of costs reduction for over 100 different clients, both public organizations and private companies which belong to Italian and international firms. Some of them are: Telecom, Pirelli, Veronesi Group, Automotive Lighting, Banca Intesa, Siemens, Nestle, etc. At the beginning the firm managed a huge number of projects for small and medium enterprises (almost 50 projects in a year), now it focuses on large organizations and the number of contemporary managed projects was progressively reduced to 10. These projects are long term activities, have a higher level of complexity that requires stronger attention to human and technical resources allocation. Flexibility and concrete approach, together with a steady activity to develop new solutions have allowed Creactive Consulting S.p.A to operate in any area and on any category of cost: from the easier general expenses to the more complex dynamics of core business costs. The keystone to develop successful projects (with almost 15% of savings) is the correct knowledge of customer's costs structure such as the series of products and services that are consumed and purchased within the firm and their functional and technical characteristics. To achieve an effective expenses reduction the company analyses the market, and proposes innovative solutions to the client, maintaining or improving the level of service. Due to the expertise of qualified consultants and partners, new solutions are unveiled and shared with the client. In the 95% of its projects, the firm has guaranteed a media of 15% of savings, in particular it has obtained the following percentages of savings on products and services: 26% on clothing, 15% on insurance policies, 22% on paper and forms, 27% on hardware and software, 32% on copiers machines, 30% on mailing services, 29% on telecommunication services, 25% on waste management services, 16% on cleaning and logistic services, etc. After that Creactive Consulting S.p.A. implements new solutions within clients’firms, consolidates the services and supervises the achieved results in order to make the company completely able of self-governing its expenses. The success of Creactive Consulting S.p.A. is sustained by its system of reward (based on success fees on achieved savings), the active participation in multidivisional teams, and the ability of consultants to understand the corporate cost structure of clients (spending 198 Real-Life Knowledge Management: Lessons from the Field data models, demand analysis, strategy compliance, etc.), the capacity to find feasible deviations in the cost structure of products and services, and the ability to propose and then test innovative solutions (Creactive, 2005). All these features will be described in the following paragraphs. Problem The client’s cost reduction process is developed in a relational context that doesn’t fall anymore into the simple dichotomy of markets and hierarchy (Williamson, 1975), but generates real complex systems of negotiation and product/knowledge sharing. Instead, these relationships might represent intermediate or hybrid forms of governance that enable firms to access the knowledge of their trading partners in more efficient ways, and act on it. These hybrid relational contexts are characterized by incomplete contracting since it is either impossible or unreasonable to develop standard agreements that completely specify all of the probable interactions’outcomes (Cooper and Slagmulder, 2002, 2002b). This causes a more complex system of cost management which should take into account a set of knowledge that is buyer’s or supplier’s property, such as technologies, functionalities, and qualities of products, semi-processed products, and services. Despite the increased interest in interdependencies and information flows that transcend organizational boundaries and their potential implication for management accounting, the topic has largely been ignored in the accounting research literature (Cooper and Slagmulder, 2002, 2002b). In academy, the debate on the relevance and future of Cost Accounting and Management highlighted by the famous Johnson and Kaplan’s book (1997), has driven much attention towards the development of the so called “new cost management techniques and approaches”. This complexity increases the need of specialized expertise on products and cost management methods, tools and organizational processes and encourages the proliferation of consultants and experts in cost reduction and management that often are not employed in one unique organization. In other words, it generates the proliferation of outsourcing processes of costs management which increase the need for consultancy firms specialized in different kinds of cost management methodologies, technologies, products and services. These experts collaborate with a growing number of firms, have strong networks with producers and vendors, know innovative strategies of negotiation processes, are aware of new production technologies, and know the preferences of vendors and buyers. As a result, the role of knowledge becomes a very important matter and at the same time a problem to overcome. Knowledge asymmetry arises among different actors (such as vendors and buyers) because it is mainly caused by bounded rationality (for in depth analysis see the work of James March and Herbert Simon (1958)) and by the information asymmetry between organizations (the outsource) and consultants (outsourcers). At the moment consultants do not have the same information that workers within organizations (i.e. purchasing officers, managers, practitioner) have, and cannot autonomously decide on the selection of components and services required by the firm. In other words consultants (outsourcers), together with organization’s experts (outsource), have to think, analyze, validate and combine the most favourable set of semi-processed products and services that minimize their costs. This continuous interdependency of knowledge among external experts and purchasing officers generates a new need. Methodologies, tools and processes of cost management should be analyzed from an innovative approach that should consider knowledge as the discrete variable. Therefore the aim of this work is to study some of the cost management practices through an innovative approach (the sense-making approach deeply analyzed by Weick (1995)), stressing the continuous interdependencies of knowledge among consultants, vendors and buyers. 199 Knowledge Based Methods in Cost Reduction Processes Learning Objectives: • The market complexity increases the need of specialized expertise on products, cost management methods, tools and organizational processes. • The market scenario is characterized by the proliferation of outsourcing processes of cost management which stress the need for emerging consultancy firms specialized in different kinds of knowledge on cost management methodologies, technologies, products and services. • Cost management consultants develop a new strategy, becoming knowledge brokers among producers and vendors and conducting innovation among them. • As a result knowledge of both workers and organizations arises its strategic importance and it becomes necessary to develop new cost management methodologies based on knowledge. Approach Few theories should be mentioned in this work, with the aim of studying some outsourcing practices of costs management. The methodology that has been used is ethnography and in particular ethnographic interviews that have been used in order to understand what kind of knowledge is important in consultancy firms, and in reduction cost processes. The analysis attempts to study how knowledge can help consultant in sustaining the continuous interdependencies of knowledge among vendors, buyers, and them, according to the sense-making approach. This new approach is based on constructivism theories, which refer to the cognitive and social processes of developing a common or shared understanding (Weick, 1995; Weick and Roberts, 1993; Daft and Weick, 1983). This framework will be analyzed and discussed in this paragraph. Finally some important methodologies of cost reduction will be described in order to understand how the cost management processes occur among Creactive Consulting S.p.A. and other organizations. The Ethnographic Methodology There are a lot of methodologies that stress the social relations within firms, such as social network analysis (SNA) (Wasserman et al., 1994), ethnography (Orlikowski and Gash, 1994), Tropos (Castro et al., 2002), etc. Some of them (i.e. ethnography, ethnographic interviews) adopt an anthropological point of view, using a very rigorous approach of participating in the daily activities in order to understand the organizational cultures as a whole. Observers usually get a thorough understanding of the circumstances of the events that are being studied, and determine the significance of what they observe without gathering broad statistical information. The underling theories of ethnographic methodologies refer to the symbolic interactionism which considers meanings as handled in, and modified through, an interpretive process used by the person dealing with the things she/he encounters (Blumer, 1962). In other words the organizational culture affects the attitude of practitioners, and researchers might interpret these behaviors according to different and incompatible interpretation schemas. Thus researchers should spend a lot of time with practitioners, becoming members of the firm. Observers will understand the culture, the common framework that people share, with the aim of giving the right interpretation on the observed events. In this study, the strong collaboration among researchers and practitioners, allows us to participate in the daily work, understanding the practitioners’points of view, beliefs, and frameworks. In order to obtain more significant results, and more in depth analysis of specific procedures, we decided to carry on a series of questionnaires and long interviews. Due to the high level of confidence among researchers and interviewed, the style of interviews has been completely free, allowing us to discuss significant open issues. 200 Real-Life Knowledge Management: Lessons from the Field The Constructivism Approach According to the constructivism approach (for in depth analysis see (Berger and Luckmann, 1966; Weick, 1979)) members of a group give precise meanings to their activities and roles. These meanings are strongly influenced by (and at the same time manipulate) their actions and environment. In this scenario the sense-making process is defined as an interpretive action in which people assign meanings to ongoing occurrences (Weick, 1995) through three main elements: • a framework: the system of mental constructions that individuals use interpreting objects or reality. In a collective sense, it is the system of values, routines, stories that are embedded in the organizational culture; • an issue: an object that only if connected with the framework has a meaning; • a cognitive shock: a gradual or radical interruption of the continuous flow of issues interpretations. This interruption is caused by a significant deviation between expectations an interpreted issues. Namely, individuals or groups recognize issues and experiences but are not able to interpret them in a sound way as long as framework changes take place. According to Weick, to make sense means to create order and understanding among experiences by applying mental frameworks. The process of connecting a framework to an issue, which has been introduced into the mind or into an organizational environment, is the very core of making sense. Besides, routines and well established practices correspond to a specific framework, and only a cognitive shock allows us to change them. Some Background on Cost Reduction and Cost Management The traditional volume-driver cost system does not fulfil adequately new emerging needs such as: performance measurement, operational control or product costing purposes (Kaplan, 1990), examination of relationships between a firm’s strategy and the design of information systems, cost control and cost management (Yoshikawa, Tanaka, Innes e Mitchell, 1993; Horngren, Foster e Datar, 1998), etc. Under the pressure of the emerging competition, accounting has moved to cost management and has become an integral part of the planning and control system of manufacturing operations (Brimson, 1991). Furthermore, under this perspective, cost management can be seen as a set of techniques and procedures that support decision making (Kaplan, 1990), and overall, as an “attitude and a way of life”that takes into consideration market strategies, value of products, etc. (Cooper, Slagmulder and Drucker, 1999). Propelled by the search for solutions to the problem of the inadequacy of “traditional cost systems”, researchers and practitioners have accepted the idea that, in order to comply with a more complex set of needs, a wide set of possible solutions has to be selected. Therefore, various, and sometimes not well coordinated, approaches and techniques have been designed and proposed, taking a great deal of inspiration from “Japanes Cost Management approaches”. The increasing complexity of cost management can be revealed by the analysis of its methodologies and techniques and the increasing interest in processes and practices that sustain effective processes of costs reduction. For in depth analysis of these different techniques, see the Activity Based Costing (ABC) that supports decisions making on products, analyzing the product life cycle according to Activity Based Management and Activity Based Management Accounting (Turney, 1991; Brimson, 1991) the Life Cycle Costing and the Target Costing (Berliner e Brimson, 1988; Susman, 1989) that aim to enhance value and reduce costs of products throughout the product life-cycle and highlight opportunities for cost reduction (Susman, 1989); the Target Costing, in which a target price and a target profit should be achieved by a combination of products and their components (Sakurai, 1989; Cooper, 2002); the Total Cost of Ownership that takes into consideration the overall costs of the supply chain, analyses processes within the firm and also the relationships among supplier and 201 Knowledge Based Methods in Cost Reduction Processes customers in terms of control and management costs (Ellram, 1995; 2002). At the same time, various tools –such as Value Engineering, Variety Reduction Program, Cost Table, Quality Function Deployment, Design For Manufacturing and Assembly (Monden and Sakurai, 1989; Akao, 1989; Yoshikawa and Innes, Mitchell,1989; Yoshikawa, Innes and Mitchell, 1990; Koudate and Suzue, 1990; Gerthardt, Hutchinson and Mistry, 1991)– have been used to define the most acceptable combination of components which sustain a cost reduction (Cooper and Slagmulder, 2002; 2002b; Monden and Sakurai, 1989). All the combinations of products, semiprocessed products and services, should satisfy the functional requirements explicitly or implicitly needed by the firm and its departments, even if the combinations of various components could change products functionalities. Finally, a lot of studies and works have been devoted to the creation of some organizational norms, such as the active participation of purchasing officers and vendors, the participation of members who operate in different organizational divisions (marketing, production, administration), the creation of multidisciplinary teams, etc. In some studies it has emerged that the continuous interaction between experts of different functions and disciplines helps to generate innovative solutions; the vertical interactive control between top management and middle management supplements the top management’s monitoring activities and helps to formulate their strategy; the continuous interplay of multiple “local technologies”, and the interactions at the boundaries between different units are critical factors for innovation and for creation of new knowledge (Brown and Duguid, 1991); the encounter of different perspectives sustains innovation (Boland and Tenkasi, 1995), etc. However, to achieve good and innovative results, it is not sufficient to organize multidisciplinary meetings and inter-functionality teams since knowledge, values and trust are not shared. Case Analysis In cost management processes, knowledge concerning strategies, products, functionalities, should be trustfully shared, in a multidisciplinary and cross functional team. Even if the team members work using different tools – such as Value Engineering, Variety Reduction Program, cost table, Quality Function Deployment, Design For Manufacturing and Assembly (Monden and Sakurai, 1989; Akao, 1989; Yoshikawa and Innes, Mitchell, 1989;1990; Koudate and Suzue, 1990; Gerthardt, Hutchinson and Mistry, 1991) – people need to share perspectives, create a common agreement and an understanding of promising combinations of innovative products. These significant issues are even more important if the cost management processes are in outsourcing. In this case clients and outsourcers should share knowledge and strategic vision on products and services functionalities and characteristics. Therefore, a new knowledge based approach aiming at analyzing these processes should be used (Collini, Cuel, and Fabrello, 2005). According to constructivism approach and in particular to the sense-making process, our ethnographic analysis (which has been developed through daily participation, and qualitative interviews) allows us to participate in the interpretive action in which practitioners assign meanings to ongoing occurrences (Weick, 1995). In order to clearly describe how sense-making processes allow us to understand these interpretive actions, the typical process of cost management, and some paradigmatic examples will be described in the following paragraphs. A Typical Process of Cost Management Thanks to consultants’experiences, Creactive Consulting S.p.A. has generated and maintained a system of best practices with the aim of offering effective services. This system of routines and processes is usually applied to both general expenses (stationery, travels, telecommunications, etc.) and core costs (logistics, ICT services, maintenance, raw materials, etc.), and it is part of the 202 Real-Life Knowledge Management: Lessons from the Field organizational value chain depicted in Figure 1. Figure 1: Creactive Consulting S.p.A.'s Value Creation It is important to notice that each project, carried on by Creactive Consulting S.p.A., takes few months (from 6 to 18 months) to be completed, and requires the involvement of the customers’ knowledge, particularly in the phases described in the value chain. Forms and times of intervention are established according to personalized purposes, in order to produce savings in a very short time, keeping the level of service absolutely unchanged – indeed, if possible, making it better. After sharing the best solution with the client, Creactive Consulting S.p.A. proceeds to its concrete implementation starting then a check period of consolidation and supervision of the results achieved and making the company completely able of self-governing its expenses. In particular the Creactive Consulting’s Value Chain consists of these main phases: 1. Data acquisition: composed by data collection, data validation, and calculus of expense perimeter. This phase is aimed at unveiling the products and services systems, organizations buy during a certain period of time (usually one year). Consultants should analyze all the purchasing processes that have been carried out, obtaining data from different sources: databases, paper receipts, purchasing orders, interviews. Sometimes, consultants can obtain data directly from the information systems of the client, but some other time they have to copy (by hand) all the paper purchasing requests. After this first analysis as a result there will be a report on the expense perimeter of the firm. 2. The Consumption model is evaluated according to knowledge and purchasing practices on the market, and a common view on the needed product (the benchmark) is shared among consultants and practitioners. In other words, consultants analyze the expense perimeter in order to understand which technical and non technical functionalities are really required within the firm, and create the consumption model. This model will contain all the information that experts need when searching for products and services. All the functional and non functional requirements are analyzed by experts who operate in the market, aiming at finding innovative products and services. Besides, the system of purchasing processes is analyzed and some purchasing best practices are unveiled. In the benchmark phase this knowledge is shared with practitioners allowing consultant to perfectly understand organizational needs, market constrains, purchasing practices, and some possible lacks in products and services functionalities. 3. Once the internal benchmark is set, and appropriate product categories (often the category of products that presents more cost reduction opportunities) are chosen, it is essential to evaluate the maximum achievable saving comparing it with the market benchmark and the best practice needed to achieve this goal. New solutions are proposed, shared and evaluated by both practitioners and consultants, and only the solution that seems more compatible with the client’s strategy is accepted. 203 Knowledge Based Methods in Cost Reduction Processes 4. After the approval, the solution is implemented within the firm as a normal self-governed purchasing phase, reducing impacts on the company's efficiency. The monitoring phase is aimed at evaluating the benefits these new solutions have brought to the clients. In the next paragraphs two paradigmatic activities will be presented, in particular all the phases described above will be analyzed through the sense-making framework (Collini, Cuel, Fabrello, 2005). The Case of the Food Industry In this first case it is described how Creactive Consulting S.p.A. operated in one of the biggest Italian food industry. This industry is the result of several operations of acquisition and fusion that generated a proliferation of purchase offices, each one with different culture, policies, and routines. In the first phase, consultants collected and analyzed data from all the various purchasing divisions, finding solutions for cost reduction in no core products area such as packing, office materials, tools, etc. As explained above, the major cost reduction chances can be obtained only for products that present the better saving opportunities and one of these is the packing area, especially the poultry pack boxes. The second phase attempted to share a common understanding (framework) among consultants and practitioners, unveiling that: • all packs were very expensive, because they were specially made for food conservation, but their primary use wasn’t always for food, often they were used as secondary packaging; • all packs had the same dimensions and didn’t always fit with the product characteristics (height, length, width); • packs had some problems: they weren’t always filled and were difficult to handle because of the fragility of packing structures and the very shoddy material composition. The purchasing officers had never realized these problems, and continued to buy packs in the traditional way. Workers believed that these products had satisfied their needs for a long time and buying the same products was a consolidated practice that in the past never changed. Thus why did they need to change it? When consultants explained them the real situation, they started to think that their knowledge on packs was not complete. The second phase, the internal benchmark, was developed, but clients still didn’t legitimate new solutions. This caused the first step of cognitive shock that changed the organizational frameworks, made acceptable an improvement in purchasing procedures and products, and legitimated consultants to find new ideas and solutions. Considering the system of organizational requirement, packing houses, and the market, consultant detected various solutions composed by a series of products, contracts with vendors and service level agreements (third phase). One of the more innovative solutions has been the adoption of a plastic boxes rent system, which promised excellent percentage of cost reduction for the food industry, but managers preferred to maintain the status quo, because the proposed solution required some changes in the logistic system, and they were not ready to afford that. Other solutions have been analyzed and tested by the interfunctional team composed by Creactive consultants and organization officers, but in this particular case no kind of packing satisfied the users’requirements and frameworks. Thus, through the active collaboration with vendors, practitioners and purchasing officers, a new kind of packing was developed, then introduced, and finally adopted in the firm. This is made of a more resistant and less expensive material and also with different architectural characteristics that allow easier filling and transportation and is available in various measures suitable with standard pallets sizes. In any case organizational purchasing officers and practitioners didn’t adopt immediately the new solutions. They accepted to introduce these new ideas only when, in one special meeting, the CEO wanted to test the resistance of the packs. He is a very big man, and jumped on the packs that traditionally are bought by the firm. The packs broke. Then he jumped 204 Real-Life Knowledge Management: Lessons from the Field on the new packs, and they didn’t break. After that, the CEO was able to persuade all the purchasing officers and practitioners to trust consultants, and buy the new packs. After this event, consultants have been legitimated by the CEO, allowing a more open mind attitude of practitioners. The Case Study of an Automobile Firm As the previous case, the cost reduction issue of this case study concerned packing solutions for headlights and taillights. These are very fragile parts and require very expensive and high quality packing and secondary packaging. Creactive Consulting S.p.A. was asked to find on the market, or to study ex-novo, a new type of packing that could guarantee high protection at lower costs. From a market analysis Creactive discovered that a reasonable number of suppliers already produced suitable packing systems; the problem was to compare these systems because vendors didn’t provide information on functionalities and requirements that allow products evaluation, and added every time additional special costs (second phase). Therefore consultants of Creactive Consulting S.p.A. decided to create an interdisciplinary and interfunctional team, composed by purchasing officers, shipping agents, producers, and vendors. Through continuous trustful interactions, the team found innovative solutions and a new taillight packing system has been proposed (third phase). This presented the same, or even better, characteristics of protection, with a production process that is less complex and expensive then the other packing systems proposed by traditional suppliers. This new packing has been introduced only after very hard suitability tests which have been carried on in order to obtain a design patent. After that the commission gave the patent, and provided an objective and trustable judgment of the product, officers convinced themselves that these new taillight packing were the best solution, and now they use these within the automobile firm (fourth phase). Results and Business Impacts Key Findings The two case studies depicted in the above paragraphs can be analyzed through different traditional perspectives. The cases can be studied according to the cost methodologies that have been used, in particular the Total Cost of Ownership or the Target Cost methodologies in which functional and non functional requirements are defined a priori, and a target cost should be achieved through various combinations of components, services and semi-processed products. Another kind of analysis could be focused on tools and instruments (using for instance Value Engineering, Variety Reduction Programs systems) that have been used to design innovative products. Finally a more organizational analysis could study the relevance of having multifunctional and multidivisional teams. Although, these analysis explain many important aspects of cost management processes, none of them can explain why and how people share perspectives, create a common agreement on promising combination of products, adopt one solution instead of another sustaining innovation. As a result a knowledge based analysis is needed; it should be aimed at understanding how people trustfully participate, share strategic knowledge, achieve a common goal, and adopt an effective solutions, in particular in outsourcing processes of cost management. Analyzing Creactive Consulting’s value chain through the sense-making framework, we can obtain Figure 2. 205 Knowledge Based Methods in Cost Reduction Processes Figure 2: Creactive Consulting’s value chain and the sense-making framework Looking at the cases of food and automobile industries, the active participation of consultants in the daily activities and the revenues based on success fee, facilitate the creation of a relaxing and informal environment in which people feel free to share knowledge and help consultants to make understandable the outsource’s framework (mainly understood through the analysis of practices and needs). The scientific analysis of the sets of products, components, and services purchased by the firm, allows consultants to unveil some asymmetries between the firm needs and the functionalities of purchased services and products. This asymmetry can be used as a real information instrument that generates some inclinations to accept cognitive shocks and pushes people to think about what they really need and want, and how they can achieve these goals. Particularly, in the case of food industry, people didn’t recognize that the packs were never fully laden and difficult to handle even though consultants provided a cognitive shock. The cognitive shock can be caused by the unveiling of non interpretable information or by some lacks in the framework interpretation, that makes people uncomfortable with their system of meanings. These status of feeling push people to think about their practices, often giving a new meaning to some of the activities they automatically carry on. But only a very strong event brings changes in the framework, and encourages the acceptance of innovative solutions. In the examples above mentioned the change happened, in the first case when the CEO jumped on new type of packs and didn’t break them; in the second case when the commission proved the quality of taillight packing. In the particular case of Creactive Consulting S.p.A., these cognitive shocks occur because of the consultant’s ability of being legitimated to look for new solutions, that will be discussed and tested by the outsource. But not all the hypothesized solutions are automatically adopted in the firms. In the case of food industry, the less expensive and more innovative solution has not been adopted, but instead, a less convenient solution was chosen by the organization. This could be explained through sense-making theories. The most innovative solution corresponds to an issue that is not compatible with the decision maker’s framework. In other words the solution was too innovative, required to many changes not only in the procedure and practices but in particular in the manager framework. It could be that the decision maker wasn’t able to understand the great potentiality of this solution, or wasn’t ready to radically change her/his system of meanings. Concluding we can say that even if consultants provide some alternatives, the adopted solution will be the one that is at the same time innovative and compatible with the decision makers’ frameworks. In the case of the automobile company the shared framework between consultants and outsource was clear from the beginning. The principal purpose was to find out an innovative 206 Real-Life Knowledge Management: Lessons from the Field product, that satisfied users, and had lower costs. Therefore a multidisciplinary team was settled up with the objective of creating innovative solutions. When the new taillight packing system was proposed, puzzlement was diffuse among members of the team. The new solution didn’t fit immediately with the members’frameworks, and a cognitive shock was needed. The qualitative tests on the product represented the cognitive shock, in fact after that, members literally changed their mind, and started to ask for the new taillight packing within the firm. In the analysis, this theory has been applied to the Creactive Consulting S.p.A.’s value Chain, and consultant practices have been studied according to the sense-making processes. In particular during meetings and focus groups participants (experts and consultants) are stimulated to perceive the real situation within the firm (combination of products, strategies, contracts and service level agreements (SLA), etc.), confirm their framework or make new meanings (understand and change the framework), help members in changing their perceptions, unveil problems in product combinations and SLA, etc. In this context, and in particular in processes of cost management outsourcing, different frameworks (the one of consultants and the other of purchasing officers) meet. This generates cognitive shocks which are explored and adapted to new interpretations, thus frameworks change and innovation is sustained (Kezar and Eckel, 2002). Business Impacts In this paper the processes of reduction costs and the Creactive’s value chain have been analyzed according to the sense-making approach. As explained above sense-making is the reciprocal process where people seek information, assign it some meaning, act (Weick, 1995), and collectively give sense to uncertain and ambiguous organizational situations (Weick and Roberts, 1993). These sense-making processes become more important when cost reduction processes are developed in outsourcing, different perspectives and cultures are encountered, and information asymmetries persist. Even if in further works, other cases should be analyzed and stronger theories should be defined; in this paper we want to highlight some main characteristics, that according to the sensemaking approach could be used as guidelines for effective processes of cost management. These characteristics are: • the creation of a collaborative partnership. Outsource and outsourcers should become accomplices that share knowledge and strategies in a cooperative way; • the establishment of a collaborative environment in which consultants and practitioners feel free and trustful to share knowledge; • the agreement on a common initial situation in which some profitable solutions can be developed; • the emerging of new meanings and solutions caused by a cognitive shock, which pushes members of the inter-functional and interdivisional group to search for new solutions; • the adoption of the best suitable solutions. Even if innovative and suitable solutions are proposed, other less convenient might be implemented within the firm, only because these last ones are much more coherent and consistent with the decision makers’frameworks. Conclusions In these last decades cost management processes evolved into very complex approaches, which take into account the organizational strategy of the firm, the knowledge and expertise of vendors, the ability of brokers in negotiation processes, etc. This complexity arises in particular when the product value chain depends on a huge number of specialized subjects which cooperate through outsourcing processes, join ventures, and other kind of networked relationships. It derives that cost 207 Knowledge Based Methods in Cost Reduction Processes management approaches, processes, and instruments should explicitly adopt a new perspective which considers knowledge as a valuable matter. According to the constructivism approach, knowledge is a social construction affected by organizational cultures, routines and procedures that practitioners follow in their daily activity, etc. Thus in cost management approaches all these aspects have to be considered. One of the main focuses of this research is to identify some new processes and tools that could easily allow practitioners and cost management consultant to deal with this kind of knowledge. Through the analysis of a consolidated practice (the value chain of Creactive Consulting) we have unveiled some main critical issues and variables that should be taken into account in cost management processes. In particular, it emerged that consultants have to create a friendly environment through which knowledge can be easily exchanged (a kind of “ba”defined by Nonaka and Konno (1998)), client’s points of view, perspectives and needs clearly understood, and finally purchasing practices deeply shared and analyzed. This can be done adopting the sense-making framework based on the following phases: framework sharing, issue creation, and cognitive shocks. An important result of our investigation, is to consider cost management consultancy firms, as brokers, namely superpartes subjects who allow the convergence of both clients’and vendors’ needs. The consultants’expertise is based on knowledge about the client’s consumption model, purchasing processes, the network of specialized vendors and their production technologies. In some cases, vendor’s technology cannot satisfy the client’s needs, thus the encountering of clients’ and vendors’ needs should be facilitated in order to obtain innovative solutions. The role of facilitator is carried on by the consultancy firms, and due to the consultant’s ability to enable free discussion on open issues, innovative solution are made possible. 208 Real-Life Knowledge Management: Lessons from the Field Practical Tips and Key Lessons: • Sense-making framework provides a useful point of view particularly when cost reduction processes are developed in outsourcing, perspectives and cultures are very different, and information asymmetries persist. This has two different impacts on both research and industry. Research should take into consideration that decision processes on cost management are based on four phases: framework sharing, issue creation, cognitive shock, and approval of final solution. Industry should develop decision processes and best practices based on these 4 steps, and should consider differences on cultures and perspectives as strategic values instead of problems to overcome. • Knowledge sharing among practitioners and consultant is a very important matter and can be done through trustful and collaborative partnerships. Thus vendors and clients have to share a common (physical, virtual or mental) space. In order to build a trustful collaborative environment, they have to periodically share the same space (meet in conferences, meetings, etc.), share communication channels (adopt common tools to share knowledge on purchased product and services), compare their knowledge on functional and technical product and services characteristics, etc. In other words, vendors should be allowed to understand and interpret the emerging clients‘needs and, at the same time, clients should be allowed to see how new products and services can be adopted and used for their business. • New solutions can be developed thanks to the convergence of vendors and clients’perspectives and cultures. Consultants, as brokers, allow the encountering of various perspectives by stressing on cognitive shocks and forcing people to look for innovative solutions. Therefore the role of a broker becomes a strategic issue to study and apply in practice. Researchers should better analyze the role of brokers among organizations, and in particular their main competences and abilities in facilitating knowledge exchange. Organizations should consider investments in a periodical analysis of consumption models, vendor portfolios, and negotiation processes as very strategic for their competitiveness on the market. For instance, it would allow them to be periodically aware of how the market changes, what innovative products and services are sold, and what purchasing strategy should be adopted. Acknowledgements The author gratefully thanks Roberto Biscaro for actively contributing to this research activity, and Creactive Consulting S.p.A. for funding the project OASI (Ontologies of Artifacts and Services to Industry). A special thanks to Prof. Paolo Collini who helped me analyzing data and improving my results, and last but not least a credit to Linda Fabrello who did the “dirty”work. References Akao, Y. (1989) “Quality Function Deployment for Product Development”, Union of Japanese Engineers and Scientists, Tokyo. Ashby, W.R., (1956) An Introduction to Cybernetics, John Wiley & Sons, New York. Berger, P.L., and Luckmann, T. (1966) The social construction of reality New York, NY: Anchor Books. Berliner, C, and Brimson, J.A. (1988) Cost Management for Today’s Manufacturing: the CAM-I 209 Knowledge Based Methods in Cost Reduction Processes Conceptual Design, Harvard Business School Press Boston. Blumer, H. (1969) Symbolic Interactionism: Perspective and Method. Los Angeles, CA: University of California Press. Boland, J.R., and Tenkasi, R.V. (1995) “Perspective Making And Perspective Taking In CommuniTies Of Knowing”; Organization Science, Vol.6.4, pp.350-372. Brimson, J. (1991) Activity Accounting. An Activity-Based Costing Approach, Wiley/NAA Professional Book Series, New York. Brown, J.S., and Duguid, P. (1991) “Organizational Learning And Communities-Of-Practice: Toward A Unified View Of Working, Learning And Innovation”; Organization Science, Vol.2. Castro, J., Kolp, M., and Mylopoulos, J. (2002). Towards Requirements-Driven Information Systems Engineering: the TROPOS Project. Information Systems. Chandler, A.D. (1962). Strategy and structure: chapters in the history of the industrial enterprise. MIT Press, Cambridge. Collini P., Cuel R., Fabrello L. (2005) "Sense-making in target costing". Proceeding of “7th Manufacturing Accounting Research Conference”, Tampere, Finland, 30th May-1st June. Cooper, R. (2002) “Target Costing for New-Product Development”, in Journal of cost management, Vol.16, No.3, May/June. Cooper, R., Slagmulder, R., and Drucker P.F. (1999) “Develop Profitable New Products with Target Costing”, in Sloan Management Review, Vol.40, No.4. Cooper, R., and Slagmulder, R. (2002) “Target Costing for New-Product Development: ProductLevel Target Costing”, in Journal of cost management, Vol.16, No.4, July/August; Cooper, R., and Slagmulder, R. (2002b) “Target Costing for New-Product Development: Component-Level Target Costing”, in Journal of cost management, Vol.16, No.5, September/October. Creactive (2005) Creactive Consulting S.p.A. web site, http://www.creactive-consulting.com/ (date accessed: 15 September, 2005). Domberger, S. (1998) The Contracting Organization, A strategic guide to Outsourcing, Oxford Univerity, Oxford. Daft, R.L., and Weick, K.E. (1984) “Toward a Model of Organizations as Interpretation Systems”, in Academy of Management Review, Vol.9, No.2, pp284-295. Ellram, L.M. (1995) “Total Cost of Ownership, An analysis approach for purchasing”, in International Journal of Physical Distribution & Logistics Management, Vol.25, No.8. Ellram, L.M. (2002) “Target Costing and Supply Chain”, in European Journal of Purchasing and Supply Management, Vol.8, Issue 4, pp.235-244, December. Gerthardt, D., Hutchinson, W., and Mistry, D. (1991) “Design for Manufacture and Assembly”, in the International Journal of Advanced Manufacturing Technology, Vol. 6. Hamel, C., & Prahalad, G. (1990) The core competences of the corporation, Harvard Business Review, May-June. Horngren, C.T., Foster, G., and Datar, S. (1998) Cost Accounting – A Managerial Emphasis, 9th Ed., New York. Kaplan, R. (1990) Measures for Manufacturing Excellence, Harvard Business School Press. Kezar, A., and Eckel, P. (2002) “Examining the Institutional Transformation Process: the 210 Real-Life Knowledge Management: Lessons from the Field importance of Sense-making interrelated Strategies and Balance”, in Research in Higher Education, Vol. 43, No.3, June. Koudate, A., and Suzue, T. (1990) Variety Reduction Program, Productivity Press. March, J., and Simon, H. (1958) Organizations, Wiley, New York. Maturana H.R. & Varela F.J. (1980) Autopoiesis and Cognition: The Realization of the Living Dordrecht: D. Reidel. Monden, Y., and Sakurai, M. (1989) “Japanese Management Accounting: A World Class Approach to Profit Management”, Productivity Press, Cambridge (Mass). Nonaka, I., Konno, K. (1998) “The Concept of "Ba": Bulding a Foundation for Knowledge Creation”. California Management Review, vol.40 no.3. Spring. Numagami, T., Ohta, T. & Nonaka, I. (1989) Self-renewal of corporate organizations: equilibrium, self-sustaining, and self-renewing models. Working paper, University of California at Berkeley, No. OBIR-43. Orlikowski, W. J., and Gash, D. C. (1994). Technological Frames: Making Sense of Information Technology in Organization. ACM Transactions on Information Systems, Vol.12, No.2, pp.174–207. Sakurai, M. (1989) “Target Costing and How to Use it”, in Journal of Cost Management for the Manufacturing Industry, Vol.3, No.2, Summer. Susman, G.I. (1989) “Product Life Cycle Management”, in Journal of Cost Management for the Manufacturing Industry, Summer . Turney, P.B.B. (1991) “How Activity-Based Costing Helps Reduce Costs”, in Journal of Cost Management for the Manufacturing Industry, Winter. Weick, K.E. (1979) The Social Psychology Of Organizing. Mcgraw-Hill Inc. Weick, K.E. (1995) Sense-making in Organizations, Sage Publications. Weick, K.E., and Roberts, K.H. (1993) “Collective mind in Organizations: Heedful interrelating on Flight Decks”, Administrative Science Quarterly, Vol. 38 pp. 357-381. Williamson, O.E. (1975) Markets And Hierarchies: Analysis And Antitrust Implications, The Free Press, New York. Wasserman, S., Faust, K., and Iacobucci, D. (1994). Social Network Analysis : Methods and Applications. Cambridge University Press. Yoshikawa, T., Innes, J., and Mitchell, F. (1989) “Cost Management through Functional Analysis”, in Journal of Cost Management for the Manufacturing Industry, Summer. Yoshikawa, T., Innes, J., and Mitchell, F. (1990) “Cost Tables: A Foundation of Cost Management in Japan”, in Journal of Cost Management for the Manufacturing Industry, June. Yoshikawa, T., Innes, J., and Mitchell, F. (1993) Contemporary Cost Management, Cima, London. 211 Knowledge Based Methods in Cost Reduction Processes Author Biography Roberta Cuel has obtained a Phd in Organization and Management of the Firms in 2003, the title of the dissertation was: “Trade off between organization and technology in the knowledge management. A case Study”. Her main interests are: the impact of innovative technologies on teams, communities, and organizational models; the study of distributed tools and processes that allow organizational learning and knowledge management; knowledge representation systems and tools (such as ontologies, classifications, taxonomies) as mechanisms for knowledge reification processes. She works within various projects, two of them are: INCONSPES (http://fandango.cs.unitn.it/net-economy/InConSPES/), managed by the University of Trento and KnowledgeWeb, a FP6 Network of Excellence that aims to support the transition of Ontology technology from Academia to Industry (http://knowledgeweb.semanticweb.org/). She teaches a course on “Marketing and E-commerce”at the Faculty of Economics and one on “Science Technology and Entrepreneurship” at the Faculty of Science of the University of Trento. 212 12 Supporting Mathematical Modelling Management by Guiding and Monitoring Huub Scholten Adrie J.M. Beulens Real-Life Knowledge Management: Lessons from the Field Supporting Mathematical Modelling Management by Guiding and Monitoring Huub Scholten, Wageningen University (hub.scholten@wur.nl) Adrie J.M. Beulens, Wageningen University Abstract Multidisciplinary, model-based problem solving for water management is a complex process. Projects that have to follow this process may encounter many problems, related to miscommunication, malpractice, misuse of models, insufficient knowledge of the problems modelled and overselling of model capabilities. This leads to modelling projects, which are not transparent and difficult to audit. The knowledge based system (KBS) discussed in this chapter provides guidelines on what to do in such projects, derived from an ontological knowledge base (KB), which contains state-of-the-art knowledge on ‘ best modelling practices’ for teams of which its members have different disciplinary backgrounds and play different roles in a project. Furthermore, the KBS monitors what each team member actually does and helps generating project reports for various audiences and purposes. The last component of the KBS consists of multimedia training material helping novice users to find their way in the KBS. The KBS (knowledge base and support tool) has been developed in the context of a European Research and Technology project partly funded by the European Commission. The developers of this KBS learned that arriving at consensus on a process KB (here for model-based water management) has an intrinsic value. Professional users tested the KBS in two series of ten test cases. They learned to like it and their inputs and comments have significantly improved the KBS. But they also expect that it will be hard to persuade large parts of the professional modelling community to using it in their daily practice. Students found it complex and cumbersome, but the quality of their modelling work increased. Keywords: mathematical model, multidisciplinary knowledge, ontological knowledge base, model based decision support, water management. Background Context In many management areas, including water management, model based decision support systems are and have been used by managers to help them to solve decision making problems. During the last decades the scope and nature of the problems that managers are confronted with have changed substantially. More and more an integrated approach taking into account technical, socio-economic and environmental aspects are currently called for. Further, managers that commission modelling 215 Supporting Mathematical Modelling Management by Guiding and Monitoring projects in which integrated and model based decision support systems are used also call for quality assurance and transparency throughout the modelling project. These enhanced requirements have partly been caused by problems encountered with model based decision support in the recent past. The HarmoniQuA project, in which the KBS has been developed, was partly funded by the European Union. The project had 12 partners in 10 countries, each with their own language and practices. Problem The first problem that a project manager is confronted with in a normal project context is to arrive at a shared vision on the nature and extent of a modelling project to support in finding solutions to a stated management problem in the domain of water management. That vision entails amongst others the scope of the study, the solution approach, expected results, duration, costs and resources used. Thereafter, for a commissioned project the problem is to execute it in compliance with specifications agreed upon with associated quality assurance. One part of that quality assurance is ensured by transparency of activities executed thus guaranteeing that the work is auditable and reproducible (Beulens and Scholten, 2004, 2005). These current requirements are caused and fuelled by a multitude of problems and bad experiences with model based studies in the past. Scholten et al. and Refsgaard et al. give a multitude of reasons for these problems, including ambiguous terminology, a lack of mutual understanding between keyplayers, malpractice in regard to input data, inadequate model set-up, insufficient calibration/validation, model use outside of its scope, insufficient knowledge on some processes, miscommunication of the modeller to the end-user, overselling of model capabilities, confusion on how to use model results in decision making and a lack of documentation and transparency of the modelling process. The responses of the modelling community to cope with these problems consist mainly of guidelines, but these are usually nationally based and focused on single domains/disciplines (BDMF, 2000, Middlemis, 2000, Van Waveren et al., 1999, Scholten, 1999, 2000, Scholten et al., 2000, 2001). Resulting model outcomes and decisions based on them are often still non-transparent, irreproducible, non-auditable and not fully comparable among different countries. An additional complicating factor is related to the changing character of model-based problem projects from monodisciplinary, single person and academic oriented research model studies into multidisciplinary, decision support oriented projects, in which teams consisting of members with different background and different roles have to co-operate to complete the complex job. Modelling in multidisciplinary modelling teams facilitates exploring more complex questions, but it also makes co-operation in teams more difficult. Team members with different scientific backgrounds encounter more communication problems, which makes managing multidisciplinary model-based water management projects a cumbersome affair. The HarmoniQuA project aimed at lowering many of the hurdles encountered in present simulation modelling by providing modelling guidelines, structured in a knowledge base and by developing a tool to support projects that use models for problem solving. The context of the HarmoniQuA project with European Commission funding, 12 partners in 10 countries and 10 different languages, introduced new problems. Partly these were associated with language issues, which were beyond the scope of the project as professional modellers were assumed to understand sufficiently English, and partly because of the variety of modelling cultures in various countries ranging from very professional and mature in northwest Europe to a novel and ad hoc state-of-the-art in some central and south European countries. These discrepancies in expertise were further enhance by the level of maturity of the scientific disciplines behind the water domain models, ranging from very mature for groundwater modelling to immature for ecological and socio-economic models. 216 Real-Life Knowledge Management: Lessons from the Field Learning Objectives: • Multidisciplinary projects are instances of processes in which multidisciplinary teams have to cooperate to achieve a result effectively, efficiently, with quality assurance and transparency. • Successful execution and completion of multidisciplinary projects can be supported by a knowledge-based system (KBS). • Throughout the lifecycle of a project team members get guidance on what they have to do customized for their disciplinary background and their role in a project. • What team members actually do is monitored by the KBS, which makes the process transparent and enables auditing. • The KBS helps teams to generate customized reports for various audiences and purposes. • The KBS facilitates communication between team members and helps them to report what has been done, formatted for various purposes and audiences. • For the case study in this chapter the knowledge base is filled with knowledge on model based problem solving in the context of water management. • The knowledge-based technology (knowledge base structure and support tool) is re-useable for other types of mathematical modelling and other complex cooperation processes. Approach To support and facilitate the work of multidisciplinary teams and its project manager in modelbased water management the following approach has been followed. The mathematical modelling process has been described and decomposed in elements. That means that a generic model of a modelling process has been developed. Based on this decomposition and experiences with other processes, an ontological knowledge base (KB) has been designed with levels of increasing specialization i.e. from rather abstract descriptions of process models to a description of modeling processes for water management in all details. This KB and its editor are the backbone of the knowledge-based system (KBS), which further consists of the Modeling Support Tool (MoST) and training material. MoST helps a project manager for a specific project to filter relevant pieces of knowledge from the KB in a structured manner, depending on the problem at hand to arrive at the specification of the work to be done, by whom (experts with differing disciplinary background) and using what (model and tool) resources. Further, in the execution phase of the project, MoST monitors, what all team members do, and helps generating ‘smart’reports for various audiences and purposes. Finally, the training material has been developed to shorten the learning curve of the KBS for novice users. This training material consists of written material, presentations, exercises that encourage using MoST in a training test case project and many screen-recording movies on MoST, its knowledge base, a case study and some background information. The movies are the core part of the training material and aim at helping users to work with MoST and act as a sort of animated help facility. The complexity of the KBS (KB, support tool, training material) sets high demands to the development process. Therefore, a three stage building process has been followed, interrupted by two extensive functional test periods, in which the KBS has been developed and tested. 217 Supporting Mathematical Modelling Management by Guiding and Monitoring Case Analysis Knowledge Base Development process In the previous section we introduced the ontological knowledge base as a core element of MoST. In this section we deal with the development in phases of that knowledge base. In this context we use a combination of the definitions of an ontology as given by Gruber (1993, 1995) and Borst (1997) leading to an operational definition of an ontology also emphasizing the negotiation aspects: an ontology is a formal specification of a shared conceptualization, referring to what can be represented in terms of concepts and the relationships among them. A small team consisting of persons responsible for the knowledge base (KB) has decomposed modelling processes into concepts and relations between these concepts in increasing levels of specialization (level 0: a bootstrapping terminology, level 1: a generic process ontology, level 2: a modelling process instance and level 3: specialized for water management). Subsequently, this decomposition has been used to design and implement that ontology in Protégé2000 with modelling knowledge obtained from the modelling experts in the team as instances of this ontology, together forming the knowledge base. Details of modelling knowledge for domains of water management have thus been uploaded to these instances. Within a larger group of professional modellers for water management, this knowledge base has been discussed in several rounds to achieve consensus, leading to a body of knowledge, shared by larger parts of the modelling community. Ontological structure An ontology can be seen as a formal framework to represent the structure and content of a body of knowledge on a domain that can be processed by a machine. In order to describe the structure and the content of knowledge, ontologies must have one or more standard vocabularies at hand, which define the terms (concepts) and relations between the terms to describe this specific knowledge domain (subject area). Concepts can be discussed and have to be represented. Concepts encompass abstract and concrete things, processes, tasks and ambitions or goals. Concepts are used to define and explain terms. Relations organize concepts in a hierarchical or in some self-defined structure. Often ontologies contain other elements e.g. properties, functions, axioms, but these are not essential to understand what ontologies are. Instances are also parts of an ontology, as they contain the actual knowledge. If task is a concept in an ontology, the instances of task can be go shopping, cook a meal, eat the meal. A comprehensive and clear introduction on what ontologies are and why we need them is given in Chandrasekaran et al. (1999). In short: an ontology can be seen as a model of organized domain knowledge and its content. Protégé2000 (Protégé, 2000) has been chosen as tool for the development of the ontological structure and for filling the KB with collected knowledge. The latter has thus been archived as instances of the ontological structure. In order to improve the usability and user friendliness of Protégé2000 in the context of an international project with many participants, who have to provide for the knowledge to be incorporated in the KB, two extensions have been built that expand the functionality of Protégé2000. Firstly, a plug-in for XML-export has been built, according to a predefined XML-format, interpretable for the KB and for the support tool that has to co-operate with the KB. It facilitates the exchange of knowledge between partners and can be automatically processed. Secondly, a web based front-end knowledge base editor has been built that allows the modelling experts without knowledge engineering skills to view and edit the contents of the knowledge base (Kassahun et al., 2004), because even an easy and user-friendly tool like Protégé2000 could form an obstacle for experts in a specific knowledge domain that are not using 218 Real-Life Knowledge Management: Lessons from the Field knowledge engineering tools in their daily practice. The knowledge base editor reflects the Protégé2000 ontology developed for the modelling knowledge base. When the ontology structure changes, the editor adjusts itself to the new ontology carrying along knowledge items into the new structure. The knowledge base editor presents the knowledge in the KB as web forms. Domain experts can add, edit and delete KB content (i.e. the instances of the ontological structure) within their own field of expertise. The authorization mechanism of the knowledge editor minimizes conflicting updates and errors. Finally, the knowledge base editor provides all interested individuals the possibility of providing their comments and suggestions. The KB distinguished three decomposition levels. At the highest level the modelling process has been divided into steps, which are groups of tasks. To perform a task one or more activities, taking into account the associated precedence constraints, have to be carried out. Activities are associated with the role of a team member and are the smallest ‘doings’in the process. A task is related to what has to be done and it refers therefore to the modelling process. By performing all its activities in a correct manner thus producing deliverables with an appropriate quality and documentation level a task will be completed. Each task has well defined deliverables. Steps are logical groups of tasks and have primarily an organizational purpose for human actors involved in the process and also have well defined deliverables. description name is_a_property_of has step task property isa isa has name definition applicability of method input output description of method explanation sensitivity and pitfall reference software aspect has activity next generic task has previous is_property_of isa task has method is_property_of isa feedback to decision has feedback from customization property has isa review Figure 1. The ontological structure of the KB (Rectangles are concepts, ovals are properties and arrows relations. The relation-type is a stands for ‘is a … ’. The concept customization property is not specified here.) A modelling process has been divided into 5 steps and at a lower decomposition level into 45 tasks. Each task was further decomposed in the following task describing components: name, definition, explanation, one or more activities (most with one or more associated methods, tools and their applicability), references, software aspects, links to other tasks (precedence constraints) and input and output (deliverables) of that task. In the decomposition three types of tasks are distinguished: normal tasks, decision tasks (to decide on advancing to the next task or going back 219 Supporting Mathematical Modelling Management by Guiding and Monitoring to a previous one) and review tasks (i.e. special decision tasks emphasizing the negotiating interaction between water manager (i.e. client) and modeller). Figure 1 presents the ontological structure used for the modelling knowledge base. Modelling experts from each of seven water management domains filled the KB by providing their expertise to each task and indicated the relevance for user type and job complexity. The KB has been tested in several ways, which is discussed in section ‘Testing’. Results of the tests have been used to change the KB structure and content, which appeared to be easy because of the chosen ontological structure of the KB and the functionality developed. Furthermore, domain experts delivered a prototype glossary of almost 1000 entries, which has also been included in the Protégé2000 KB. The glossary entries can be accessed from the guidelines presented by the support tool through hyperlinks. Guidelines for Model-based Water Management The knowledge base is too large and complex to be discussed here in detail (see www.HarmoniQuA.org). See for some details Refsgaard et al. (2005). In the KB the modelling process is divided into the following steps: (1) MODEL STUDY PLAN, (2) DATA AND CONCEPTUALIZATION, (3) MODEL SET-UP, (4) CALIBRATION AND VALIDATION and (5) SIMULATION AND EVALUATION. Steps are decomposed into tasks. In the KB tasks belong to the work of one or more user types, i.e. roles that team members have in a modelling project. The following user types are included: water manager, modeller, auditor, stakeholder and concerned members of the public. The first step (MODEL STUDY PLAN) starts with three tasks for the water manager: DESCRIBE PROBLEM AND CONTEXT, DEFINE OBJECTIVE and IDENTIFY DATA AVAILABILITY. The water manager also has the main responsibility for the fourth task, DETERMINE REQUIREMENTS, but here the opinions of possible stakeholders and concerned members of the public on the overall objectives and context of the modelling study should be taken into account before it is all compiled in the fifth task PREPARE TERMS OF REFERENCE. In the sixth task (PROPOSAL AND TENDERING) there are roles for the water manager, the modeller(s) and the auditor. The seventh task in this step is the decision task AGREE ON MODEL STUDY PLAN AND BUDGET, where water manager and modeller have to discuss how the model study has to be continued. The tasks just mentioned are concerned with the first problem of the project manager of a project as described in the introduction of this paper, that is to arrive at a shared and agreed upon vision on what has to be done. If parties come to an agreement to continue, one may carry on with the execution of the project as described by the steps numbered 2 through 5. The second step DATA AND CONCEPTUALIZATION is then the one to be started with. That starts with the task called DESCRIBE SYSTEM AND DATA AVAILABILITY. This task is typically a modeller’s task (Figure 2). If one decides in the decision task AGREE ON MODEL STUDY PLAN AND BUDGET to redo some of the previous tasks, one has to return to the task DEFINE OBJECTIVES. Figure 2 shows the first two decomposition levels of the modelling process. After the first step MODEL STUDY PLAN the next steps consist mainly of tasks to be done by modellers, but each step concludes with a review task, in which other user types (water manager, auditor, stakeholder and concerned members of the public) participate. The tasks briefly presented in figure 2 consist of activities. Part of which have simple associated methods to used and part of which have complex methods to be used. The latter is for instance the case for the complex task UNCERTAINTY ANALYSIS OF SIMULATION in the step SIMULATION AND EVALUATION. This task consists of several activities to do and a number of methods to use. The guidelines for model-based water management describe several methods for this task. The user may select a method in order to comply with the requirements of the project. Users are not enforced to use one of these methods provided by the guidelines, but can also use other, more appropriate methods. The methods provided by the guidelines for this task include MONTE CARLO SIMULATION, SENSITIVITY ANALYSIS, REGRESSION TECHNIQUES, NUSAP, EXPERT ELICITATION, DATA UNCERTAINTY and ERROR PROPAGATION EQUATION. In addition to short descriptions of 220 Real-Life Knowledge Management: Lessons from the Field Figure 2. The steps and tasks of the modelling process in MoST’s knowledge base (from Refsgaard et al., 2004 with permission). 221 Supporting Mathematical Modelling Management by Guiding and Monitoring methods and their applicability the guidelines contain references to where the user can find more thorough descriptions of the methods and supporting software tools to use the methods. An exhaustive glossary of relevant terms completes the content of the KB. Glossary entries give definitions with reference to the source of the definition, synonyms and – if required – additional remarks in footnotes. The need for a consistent and explicit terminology has been discussed extensively in Refsgaard and Henriksen (2004) and Refsgaard et al. (2005) state that the terminology should be a part of the modelling KB and that it should be presented to guideline users as a glossary. Support Tool Design The support tool MoST (Modeling Support Tool) has been built in a prototyping process, starting with providing just (modelling) guidelines and followed by adding functionality to monitor and store what team members do in so called (modelling) journals. This version with a limited (still complex) functionality was then tested in 10 test cases of normal commercial model projects. Based on the results of these tests, the functionality of MoST has been extended to be able to assist multidisciplinary teams co-operating online (internet) in multi-domain modelling projects for water management. This has been tested in a second series of test cases and the latter results are used for final improvements. Functionality The overall system consists of the KB previously discussed and the support tool, discussed in this section. This system is presented in Figure 3. The support tool consists of four components, together forming the Modeling Support Tool, MoST. These functional components (1) provide guidance from the KB to specify what has to be done, (2) monitor what the project team members actually do in a modelling project and store this in a model journal, (3) help users in reporting what is stored in a model journal and (4) supply advice based on model journals of previous projects. The first three functional components have been developed and are integrated in MoST, while the fourth –advice –component is in the final design stage of development. MoST will typically be used to support practical work of multidisciplinary teams in modelling projects. Modelling projects have normally two phases, an initialization phase and a project execution phase. In this respect MoST resembles workflow management tools, which distinguish the same phases in business processes management (Fischer, 2003). MoST corresponds to workflow management software in many aspects, but it differs in other aspects. Opposite to many business processes, consisting of relatively simple tasks, which have to be executed frequently, modelling is a process consisting of many complex tasks, requiring various types of expertise and undergoing improvements based on scientific progress and increased computer power. In order to facilitate working in distributed groups, the overall software product has been designed in a client-server architecture. To some extent the KB and the tool can be considered as groupware. Modelling teams will often work in a distributed configuration, connected by a LAN or the Internet. A MoST-server contains all shared information (i.e. KB and the work done by a team and stored in the project’s model journal). To speed up browsing in the KB, users will work with a local copy, updated when necessary from MoST’s central server. The results of a multidisciplinary modelbased water management project, i.e. the work actually done, should be safely stored and available for team members that are authorized to use the work of others. Therefore model journals are stored at the server side. MoST-servers can be connected to users by LANs within an organization that want to keep their multidisciplinary model-based problem solving work confidential or connected to 222 Real-Life Knowledge Management: Lessons from the Field users through the Internet for organizations that want to share their work with other distributed persons and organizations. Knowledge Base Model Archive Guidelines Software capabilities Glossary Domains: Model journal, Project A Model journal, Project B Model journal, Project C Groundwater Precipitationrunoff Hydrodynamics Flood forecasting Water quality Biota (ecology) Socio-economics Model journal, Project D MoST Guidance Advise Reporting Monitoring Generic + specific for: - model domain - user From previous model projects Specific for types of users Generic + specific for: - model domain - user User Model Team Single/multiple domain Model Study Plan Data and Conceptualisation Model Set-up Calibration and Validation Simulation and Evaluation Reporting and client review take place in each step Figure 3. The overall modelling support system consists of KB (upper left corner), MoST (middle part) and model archive (upper right corner). The steps in the work of modelling teams are shown in the lower part. The customization aspect Application Purpose is left out in the guidance and monitoring tool components, as this item is not implemented in MoST. MoST can also be used as a smart and powerful browser for the KB guidelines. Browsing is supported in three ways. In a linear (textbook) format or according to the flowchart structure of a modeling process represented in the KB or in way most users are familiar with by using a tree structure as is used by most operating systems nowadays. This is realized in the guideline component by providing three panels: a TREE VIEW (with an layout similar to MS Windows Explorer), a FLOWCHART VIEW (similar to the structure of Figure 1) and a (textual) TASK VIEW (with ‘tabs’to facilitate browsing). The guideline component of MoST with these three panels is depicted in Figure 4. As a modelling project starts, the team member that initiates the project is the initial project administrator. The administrator’s first responsibility is to give a name to the project and to specify one or more subprojects, each consisting of one or more domains (not shown). Subsequently the administrator defines which tasks have to be done in each of the subprojects, using the job complexity templates from the guidelines as starting points (not shown). Next, the project administrator composes the staff of persons to do the project (not shown). Users are added to the 223 Supporting Mathematical Modelling Management by Guiding and Monitoring team and their roles specified. Then, the administrator will give authorization rights, i.e. reading, writing, decision making, to all persons involved, per subproject and per role and appoint – if functional – extra project administrators (not shown). Finally the administrator can add and edit questions and criteria, to be used by auditors (not shown). A project administrator can change all project settings of an initialization phase during the project. One or more team members with a role, associated with a specific task for that subproject can start a task or skip a task, preferably with arguments why the task is skipped. All team members can see, which tasks are completed, skipped, not yet started or in progress. Figure 4. Screenshot of MoST’s guidance component with the TREE VIEW in the left, the FLOWCHART VIEW in the upper right and the TASK VIEW in the lower right panel. In the second phase of a modelling project, team members have to execute the tasks according to their role and their authorization. MoST has to collect information about the execution of these tasks for monitoring, control and auditing reasons (called keeping a model journal). The main window to perform tasks in a modelling project (using the monitor component of MoST) is depicted in Figure 5. In the top-left part of this window, below the main menu, a dropdown menu enables users selecting one of the subprojects to work on. In Figure 5 the GW study (GW) subproject has been chosen, dealing with the groundwater modelling issues in this project. In the lower part of the screen the TREE VIEW is shown in the left panel. This can be used to browse through the tasks to do and also to inspect the status of each task in this subproject. Different icons are used to show this status, being a transparent rectangle for tasks not yet started, a yellow rectangle for tasks started, a green OK sign through the yellow rectangle for tasks completed and a red cross through the yellow rectangle for tasks skipped. The lower right panel is similar to the TASK PANEL in the guiding component of MoST, providing adequate guidance on the task selected in the TREE VIEW with tabs to select different views on the guidance for that task. 224 Real-Life Knowledge Management: Lessons from the Field The upper right panel is called the ACTIVITY VIEW and it is designed to perform the task at hand by executing, skipping or completing the activities associated with this task. This panel is the most complex one to handle and it needs therefore more explanation. At the top of this panel MoST keeps track of the start date and time of an activity. Below this time stamp box, users can select to start an activity, if they are authorized to work on this task. The next user, that also wants to work on this activity, is allowed to do so, but he/she will work in a different copy of the activity. The server application of MoST will later merge all work done in a single and consistent model journal of this project. When an activity in a task has been started, the user will go to the JOURNAL VIEW, where the user has to describe in text what he/she did to perform this activity, select a method to help completing the activity, and attach documents in a variety of formats. Such attachments are implemented by providing a hyperlink in the model journal and sending attached documents to the server for later use (reading, editing, printing, etc.). Time stamps of activities are also automatically set or updated when an activity is later reworked. The list of activities at the task level uses similar icons to indicate the status of the activities as are used for tasks in the TREE VIEW (the left panel). Figure 5. Screenshot of main 'work' window in the project component, where the tasks in a project will be monitored. See text for further explanation. Decision tasks, presented in the TREE VIEW with a diamond shaped icon, require a decision instead of simple completion as in normal tasks. Users, authorized to make the decision for a subproject, can choose to continue to the next task or go back to a previous task as shown in the FLOWCHART VIEW of the guiding component of MoST. Reviews tasks are special decision tasks and require a decision too, but an essential element of review tasks is the discussion between team members with different roles, including water manager, modellers and sometimes others. Decision and review tasks allow users to accept the results of a task or redo one or more tasks. In this way users can redo a model calibration, if they expect to get better results with new settings of the calibration or they can use it for analyzing alternative scenarios with the model at hand or with 225 Supporting Mathematical Modelling Management by Guiding and Monitoring an alternative model. The process of (re)doing a task with a set of models and tools is called a model-scenario. If we do the same task with other datasets we call it a data-scenario. Switching to other tasks, starting, skipping and completing tasks and activities, triggers exchange of information between the client application of MoST and MoST’s server application. In that case, the model journal on the MoST-server will be synchronized with the local copy of the model journal that has been changed. At the same time, all other local copies of that model journal will be synchronized with the content of the model journal on the server. Model journals also have an ontological structure, which resembles that of the KB, but with some extra concepts and relations regarding the time-stamps and the information provided by team members on what they actually have done (scenario information). This information is stored in instances of the model journal ontology on a MoST-server. The content of a model journal is exchanged between the model journal on the MoST-server and a MoST client (and vice versa) as XML-file. Next to the guidance component and the monitoring functionality in the project component, MoST provides a powerful reporting functionality. This reporting facility filters the myriad of logged information, monitored and stored in a model journal, and transfers it into a readable and compact report according to requirements set by the user. In this way reporting is one of the ways to get an overview of the project progress. The purpose of the reporting functionality is to provide a report in a form customized for different types of users, i.e. water managers, modellers, auditors, stakeholders and concerned members of the public. The benefit of the audit trail recorded by the monitoring tool will be poor, without a functionality to filter many recorded decisions made, methods and data used and other information such as time stamps at the task level and at the activity level. Moreover, some information may be confidential, e.g. some part of the audit trail may be restricted to specific types of users. The reporting component ‘understands’the ontological terms from the KB and from model journals, e.g. step, task, activity, method, users and user types, domains, job complexity, and other task describing components. Therefore, the reporting component can handle information requests, which depend on these ontological concepts. These requests are the result of filtering by team members, who select what they want in a report. Subsequently the reporting component collects requested information from a model journal and enables printing or exporting reports to HTML- or PDF-format. In this way the reporting component facilitates generating audience-specific reports. Training Material MoST is a complex tool and novice users need training before they can benefit from all its features to support modeling teams in their daily routine. Therefore, comprehensive training material has been developed for students and professional modelers in water management. This training material consists of written material, presentations, exercises that encourage using MoST in a test case project and many screen-recording movies on MoST, its knowledge base, a case study and some background information. The movies are the core part of the training material and aim at helping users to work with MoST and act as a sort of animated help facility. Testing Scholten and Beulens (2005) have summarized the criteria to test such a KBS, including verification (determining that the KBS is built according to its specifications) and validation (determining that the KBS actually fulfills the purpose for which it was intended). Many of these criteria are difficult to test, as there are no tools or general applicable methods. Here verification and validation will be combined and referred to as testing. 226 Real-Life Knowledge Management: Lessons from the Field The ontological structure of the KB and the process decomposition have been discussed by all partners at project meetings and commented on by various (internal) testers and (external) reviewers. Reading and using the KB were the methods that the testers used to evaluate it. In this way the content of the decomposition elements have been tested according to the following criteria: correctness (i.e. capturing intuitions of domain experts?), completeness (i.e. no gaps regarding steps, tasks, activities, methods and tools), redundancy (i.e. no unintended synonyms), consistency (i.e. different ways of treating the same concept and does the content of the KB include contradictions) and meaningfulness (i.e. intended users should be able to understand). These tests were conducted at three levels: (1) internally reviewed by experts (modellers for water management) not involved in developing the KB, (2) used in two series of test cases by professional modellers, where MoST has been used in normal, commercial projects and (3) commented by three external reviewers. MoST (software) was tested at four levels: (1) by a project partner not involved in the design and implementation of the software on reliability, correct functioning according to requirements, (2) in both test series by professional modellers on adequacy (i.e. does the support tool adequately support daily practice of professionals), (3) by the external reviewers on correct functioning, reliability and adequacy and (4) by professionals attending workshops on adequacy and students attending master degree courses on appropriateness for novel users. Furthermore, all users of the KBS were asked to fill in an online questionnaire. In workshops and courses the training material has been used, which tests its correctness and usefulness for professionals and students. Testing of training material by using it was further evaluated with the online questionnaires. A final test is scientific publishing. Many aspects have been published (Refsgaard and Henriksen, 2004, Refsgaard et al., 2005, Olsson et al., 2004) or are accepted for publication (Scholten et al., 2006). Furthermore, the KBS is presented at many conferences and workshops. Usefulness for Other Applications MoST and its KB are designed to support model-based water management, but a claim that it can beneficially support other complex processes too, seems realistic. Unlike workflow management systems, MoST is designed to assist in complex, science related processes, which will not be repeated many times. However, we expect that components of these processes are reusable in other processes within the same domain. This idea is supported by expert opinions from the domain and by the collected experiences in the HarmoniQuA project. At present this claim is further tested within the EC-funded project AquaStress aiming at decision support in a stakeholder participation centred process to mitigate water stress problems (shortage, excess, quality problems, etcetera) throughout Europe. If this is successful, other fields of application will be assessed. Finally, it is considered to extent the functionality in order to support hierarchies of processes too. Results and Business Impacts Key Findings The case study described in this chapter resulted in a knowledge-based system (KBS) that provides guidance and support for multidisciplinary teams working in complex projects, here instantiated for model-based water management. The KBS consists of several components. The first component is an ontological knowledge base (KB) with levels of increasing specialization, i.e. from rather abstract to describing modelling processes for water management in all details. The 227 Supporting Mathematical Modelling Management by Guiding and Monitoring more abstract levels can be re-used for other processes than model-based water management, as is tested at present. This is realized by filling the KB structure (the more abstract levels) with expert knowledge on the new process (dealing with participatory water stress mitigation support), using the second component, i.e. the knowledge base editor. The third component is the support tool, MoST, which has several functions. It presents guidance from the KB to team members, customized for their disciplinary backgrounds and their role in the project at hand. Next it facilitates to keep records on what is actually done by each team member in its monitoring function. Further, it helps generating reports, customized for various audiences and purposes. Finally, it aims at deriving advice from previous projects, but this function is in the development phase and not yet implemented. The fourth component of the KBS consists of training material to help novice users to get familiar with MoST and employ it easily in their daily work. Test results are promising, as they show – next to some bugs and minor shortcomings – that most users (whether professionals or students) like the KBS and perceive it as useful. Nevertheless, the same users expect significant problems with clarifying other potential users the costs and benefits of using the approach and system and convincing them to use it. The best way to overcome this hurdle is to clearly define the incentives of using it to all participants. First of all managers in their role of clients for projects, for which the KBS is designed, have to understand how they can benefit from its use. That clearly pertains to matters of effectiveness, quality assurance, auditable, and efficiency. For participants in the modelling process incentives may have to do with clear and effective support and guidance in the execution of tasks as enabled by the knowledge base and the modelling log. If participants are convinced about associated benefits and incentives, if they are supported in going through the learning curve, and if there are no hidden agenda’s then managers may enforce its use. One of the major objectives of the KBS is facilitating communication and understanding between members of a multidisciplinary team. The KBS uses English as single language (KB, support tool and training material). In some countries, especially in northwest Europe, the foreign language, English, is hardly seen as hurdle hindering its use by the professional community. In many central and south European countries English will not obstruct researchers to use it, but many consultants that do most of the (routine) modelling work will and cannot use it, unless translated in their language. This is amusing, as the KBS intends to facilitate communication. This language problem may even obstruct the usefulness of the KBS for team members with less professional roles, e.g. stakeholders and concerned members of the public. Translating the KBS will only partly be a solution, as it will introduce a new problem. Maintenance of the KB is now easy, but in the multilingual case, it will be tedious endangering the consistency between the language versions. The KB structure, implemented in Protégé2000, the KB editor and the support tool MoST represents a promising new technology to support projects dealing with other types of complex, techno-scientific processes. This is the result of the use of proper design criteria, which ensures a complete split-up of the content of the knowledge base on one hand and the structural aspects of the support tool and the KB on the other hand. In this way, filling the knowledge base with knowledge related to other types of processes, results in new systems which can be used to run projects by multidisciplinary teams for these other processes. The implementation of the KBS for multidisciplinary model-based water management is a ‘proof of principle’of the correctness of the followed approach. The full potential of this technology has still to be proven. Impacts The knowledge-based system (KBS) discussed in this chapter has different impacts on various sets of persons involved. Individual domain experts (the providers of the knowledge) organized and reviewed their expert knowledge before making it explicit and upload it to the KB. In this way, their daily routine has been made explicit and improved in the direction of ‘best practices’. The same domain experts, but now considered as a group discussed these pieces of knowledge, negotiated it 228 Real-Life Knowledge Management: Lessons from the Field to reach agreement on the KB content, which resulted in a further progress towards ‘best practices’ and consistency in the use of terminology and methodology in the KB. The ontological nature of the KB aims at such consensus and achieving consensus is therefore a major result of this case study. The professional community of modellers for water management (in the Netherlands estimated to be 300-600 persons on a total population of 16 million) appeared to be attracted to the idea of making the knowledge they daily use explicit. Initially they found the support tool cumbersome, but after using it, they perceived it to be beneficial, as it increases the quality of their work without decreasing their efficiency. Managers in their role as clients of modelling projects appeared difficult to interest, but when interested they evaluate the KBS as valuable and often enforce its use. Undergraduate students found the KBS complex and laborious, but teachers found that the KBS increased their efficiency and the quality of the students’work. The multimedia training material helped all novice users significantly in familiarizing with the KBS, especially the students. Some professionals expected initially that the KBS is a cumbersome burden, forcing their daily practice into a straitjacket. Training sessions with the multimedia training material helped them to get a more positive view on its usability. The problems at the start of the HarmoniQuA project (partners from 10 countries with different level of modelling maturity and working in 7 water management domains with different levels of maturity in their disciplinary background) was felt as a confusing starting point, hindering a straightforward approach in the development of the knowledge base and support tool. But during the project the condition sine qua non of an ontological approach, i.e. coming to agreement on expert knowledge, facilitated to overcome the problems. In order to contribute their own disciplinary expertise project partners had to understand the expertise of the other domain experts and formulate their expert knowledge in a clear and understandable way for experts from other domains. Partners from countries with a shorter history in professional model application for water management experienced a fast intensification of their professional skills. In this way, the HarmoniQuA project was also a process in which paradigm islands (countries and disciplines) were connected to a firm network of mutual understanding, opening up challenges for international cooperation and integrated multidisciplinary studies. Conclusions The development of the knowledge based system (KBS) including its ontological knowledge base for multidisciplinary modelling in water management combines knowledge engineering technology with modelling expertise. Modelling team members with different roles and working in different domains of water management get guidance customized for their profile (domain, role, job complexity). This technology seems promising for modelling projects in other application areas than water management and shows potential for supporting other complex, multidisciplinary projects too. This has yet to be proven. Making modelling knowledge explicit and representing it in an ontology are the major benefits of the KBS discussed in this chapter. The ontological approach makes improving, changing and updating the KB easy. This is an essential prerequisite for ensuring that the KB can become a body of knowledge shared by major parts of the professional modelling community. Its specificity for model-based water management does not hinder extending it to other disciplines or application domains, thanks to the flexibility provided by its ontological set-up. The present state of the KB is a cross section in time of relevant and sufficient modelling knowledge. It is an intermediate product open for improvements and updates, if scientific progress requires. The ontological approach of MoST’s KB passed all stages of an ontological knowledge base development with the design of an ontological structure, the development of a knowledge acquisition tool, the implementation of the KB as instances of the ontological structure and the 229 Supporting Mathematical Modelling Management by Guiding and Monitoring building of a tool to use the KB for some purposes. This chapter does not focus on knowledge engineering aspects of ontologies and on developing domain factual ontologies, because here the ontological approach was only instrumental. The development of the KBS and its use in two series of ten test cases seems successful. It solves many of the problems for which it was designed, but several questions are still unanswered. Technically the KB can easily be maintained and updated, but reaching agreement on its content, outside of the shelter provided by an externally financed project as HarmoniQuA, is a hard job. Persuading substantial parts of the professional water management community to use the KBS is another hurdle to overcome. Developing this KBS is worthwhile in itself, but it will be worthless if this tool cannot be found in the toolbox of professional modellers for water management. Practical Tips and Key Lessons: • Implementation of a complex knowledge-based system (KBS) like MoST and its knowledge base can be facilitated by clarifying costs, benefits and incentives to clients of multidisciplinary model-based problem solving projects for water management, as they can enforce its use. In addition, all participants of such projects must be convinced about the incentives associated with the use of KBS. • Set-up of an ontological knowledge base requires knowledge engineers that speak the language of domain experts instead of domain experts that are enforced to do the work of knowledge engineers. • End-user involvement in the early stages of KBS development helps avoiding crucial design blunders. • Communicating basic concepts of a KBS with intended users encourages them to use it. • A Babylonian language problem is an often-neglected issue in knowledge management research. • The complete KBS (KB, support tool and multimedia training material) can be obtained from www.HarmoniQuA.org/. Acknowledgements The present work was carried out within the Project ‘ Harmonizing Quality Assurance in model based catchments and river basin management (HarmoniQuA)’ , which is partly funded by the EC Energy, Environment and Sustainable Development programme (Contract EVK1-CT2001-00097). The authors thank all persons involved in this project (see http://harmoniqua.wau.nl/public/credits/credits.htm). They are also grateful to Pasky Pascual (Environmental Protection Agency, Washington, USA), Nils Ferrand (Cemagref, Montpellier, France) and Hugh Middlemis (Aquaterra, Kent Town, Australia), who acted as external reviewers of MoST and its knowledge base. The constructive comments of an anonymous reviewer are acknowledged. References BDMF, 2000. Protocols for Water and Environmental Modeling. Bay-Delta Modeling Forum. Ad hoc Modeling Protocols Committee. www.sfei.org/modelingforum/. Beulens, A.J.M. and H. Scholten, 2004, An ontological framework for structuring process knowledge specified for the process of model-based problem solving. In: M. Makowski (Ed.), 18th Workshop on Methodologies and Tools for Complex System Modeling and Integrated Policy Assessment, 6 –8 September, 2004, Laxenburg, Austria, 4-8. 230 Real-Life Knowledge Management: Lessons from the Field Beulens, A.J.M. and H. Scholten, 2005, Towards a process ontology for a model based support system for problem solving: the ontology bootstrap problem. In: M. Makowski (Ed.), Knowledge Creation and Integration for Solving Complex Problems. The 19th International Workshop on Complex Systems Modeling (CSM) jointly with the 6th International Symposium on Knowledge and Systems Sciences (KSS), August 29-31, 2005, Laxenburg, Austria, 3-8. Borst, W. N. 1997. Construction of engineering ontologies for knowledge sharing and reuse. University of Twente, Enschede, The Netherlands. Chandrasekaran, B., J. Josephson, V. Benjamins. 1999. What are ontologies and why do we need them? IEEE Intelligent Systems 14, 20-26. Fischer, L., 2003. Workflow Handbook 2003. Future Strategies Inc., Book Division, Lighthouse Point, FL, USA, 362 pp. Gruber, T. R. 1993. A translation approach to portable ontology specifications. Knowledge Acquisition 5(2), 199-220. Gruber, T. R. 1995. Towards principles for the design of ontologies used for knowledge sharing. International Journal of Human-Computer Studies 43, 907-928. Kassahun, A., H. Scholten, G. Zompanakis, and C. Gavardinas. 2004. Support for model based water management with the HarmoniQuA toolbox. In: C. Pahl, S. Schmidt, and T. Jakeman, editors. iEMSs 2004 International Congress: "Complexity and Integrated Resources Management". International Environmental Modeling and Software Society, Osnabrück, Germany, June 2004. Middlemis, H. 2000. Murray-Darling Basin Commission. Groundwater flow modeling guideline. Project no. 125, Aquaterra Consulting Pty Ltd., South Perth. Western Australia. Olsson, J., H. Scholten, B. Arheimer, and L. Andersson. 2004. Quality Assurance support tool for catchment-based modeling: a test on the HBV-NP model for eutrophication assessment. In: 8th International Conference on Diffuse/Nonpoint Pollution, 24-29 October 2004. International Water Association, Kyoto. Protégé (2000). The Protégé Project. http://protege.stanford.edu (date accessed: 14 September, 2005). Refsgaard, J. C., and H. J. Henriksen. 2004. Modeling guidelines - terminology and guiding principles. Advances in Water Resources 27:71-82. Refsgaard, J. C., H. J. Henriksen, B. Harrar, H. Scholten, and A. Kassahun. 2005. Quality Assurance in model based water management - review of existing practice and outline of new approaches. Environmental Modeling and Software, accepted for publication. Scholten, H. 2001. An ontological approach in quality assessment of modeling and simulation. In: A. W. Heemink, L. Dekker, H. d. S. Arons, I. Smit, and T. L. v. Stijn, editors. PROCEEDINGS OF EUROSIM 2001, SHAPING FUTURE WITH SIMULATION, The 4th International EUROSIM Congress, in which is incorporated the 2nd Conference on Modeling and Simulation in Biology, Medicine and Biomedical Engineering. TU Delft, 6 pages on CDROM, ISBN: 90-806441-1-0, Delft, The Netherlands. Scholten, H. and A.J.M. Beulens, 2005. Testing ontological support for multidisciplinary modelbased problem solving for water management. In: M. Makowski (Ed.), Knowledge Creation and Integration for Solving Complex Problems. The 19th International Workshop on Complex Systems Modeling (CSM) jointly with the 6th International Symposium on Knowledge and Systems Sciences (KSS), August 29-31, 2005. IIASA, Laxenburg, Austria, pp. 51-55. 231 Supporting Mathematical Modelling Management by Guiding and Monitoring Scholten, H., 1999. Good Modeling Practice. In: M. Makowski (Ed.), Abstracts of the 13th JISRIIASA Workshop on methodologies and tools for complex system modeling and integrated policy assessment, IIASA, Laxenburg, 57-59. Scholten, H., A. Kassahun, J.C. Refsgaard, T. Kargas, C. Gavardinas and A.J.M. Beulens, 200x. A methodology to support multidisciplinary model-based water management. Environmental Modeling & Software accepted for publication. Scholten, H., R.H. Van Waveren, S. Groot, F. Van Geer, H. Wösten, R.D. Koeze and J.J. Noort, 2000. Good Modeling Practice in water management, Proceedings HydroInformatics2000. International Association for Hydraulic Research, Cedar Rapids, Iowa, USA. Scholten, H., R.H. Van Waveren, S. Groot, F. Van Geer, J.H.M. Wösten, R.D. Koeze and J.J. Noort, 2001. Improving the quality of model-based decision support: Good Modeling Practice in water management. In: A. Schumann, J. Xia, M. Marino, D. Rosbjerg (Eds.), Regional Management of Water Resources. Proceedings of Symposium S2 of the 6th Scientific Assembly of the International Association of Hydrological Sciences, Maastricht, The Netherlands, July 18-27, 2001. IAHS, Maastricht, The Netherlands, pp. 223-230. Van Waveren, R.H., S. Groot, H. Scholten, F. Van Geer, H. Wösten, R. Koeze, J. Noort, 1999. Good Modeling Practice Handbook, STOWA, Utrecht, The Netherlands, in Dutch, English translation: http://www.informatics.wur.nl/research projects/pub-pdf/gmp.pdf (date accessed: 14 August, 2005). Authors’Biographies Huub Scholten is employed as senior scientist and assistant professor in Applied Systems Science, in the Information Technology Group of Wageningen University. His professional interests lie in the field of simulation model quality, ontological knowledge engineering, model development, calibration, uncertainty analysis, validation and simulation modeling methodology and also in the development of software to support these activities. He participated in many research projects, of which some as project leader. He is involved in the EUprojects HarmoniQuA as coordinator and AquaStress as partner responsible for knowledge management issues. He has authored more than 75 publications in domain specific model development, model application and in more generic methods and tools in his fields of interest. Besides research he gives four courses in Modeling and Simulation at Bachelor and Master level, supervises Master thesis and PhD thesis work at Wageningen University. Adrie J.M. Beulens (1948) is currently Professor of Information Systems, head of the Information Technology Group at Wageningen University in the Netherlands. He was the founding director of Wageningen School of Management at Wageningen University and its dean until 2002. He is (co-)author and editor of many articles in journals on Operations Research and Information Systems. He is active as a management consultant for a large variety of companies especially in the areas of ECR, SCM, logistics, information systems and E-business. From 2002 till 2005 he was scientific director for the focus area of Transparency for KLICT. He is member of a number of (inter)national professional organisations. Finally he is member of the board of ACC (Agri Chain Competence) and AKK (Agro KetenKennis). 232 Design and Implementation of KM Solutions 13 Knowledge Management for Organisations Dealing with Critical Incidents Andrew Lewis Ben Diamond Real-Life Knowledge Management: Lessons from the Field Knowledge Management for Organisations Dealing with Critical Incidents Andrew Lewis (alewisnew@gmail.com) Ben Diamond, West Midlands Fire Service (Ben.diamond@wmfs.net) Abstract The RIMSAT project’ s goal was to develop and implement knowledge management tools and processes for use by fire fighters. Advanced technologies such as case-based reasoning software and new knowledge formats such as the “unit of experience” enabled the delivery of appropriate, easily comprehensible knowledge to fire fighters in a very short amount of time. The unit of experience is a way of communicating lessons learned in the field in a simple, structured way without necessarily defining them as best practices. The most difficult barriers to acceptance of these methods and tools were the fears that the widespread discussion of errors would lead to liability claims and that computer tools would interfere with the rapid decision-making that characterises incident command. The key to building support for the tools was to clearly define their role in the decision-making process. They had to be introduced as auxiliary resources rather than as obligatory tools that could interfere with normal command processes. The liability issue required a careful analysis of the fire service’ s responsibility with regard to the extinguishment of fires and a review of jurisprudence in this area. The conclusion following this review was that the fire service is indeed permitted to make non-negligent mistakes and that discussion of those mistakes should be allowed and encouraged. Keywords: critical incident, knowledge management, fire fighter, liability, trust Background Industrial Context Fire fighting has always been a job for which hands-on experience is essential. Though some aspects of the job can be taught through training courses, many must be acquired “the hard way”, i.e. through participating in incidents. For this reason, fire fighters have a great deal of respect for the knowledge of colleagues who have been fighting fires for many years. Nevertheless, while the importance of hands-on experience remains true, there has been a growing sense that more could and should be done to share knowledge and experience about fire fighting operations. Industrial fires and the associated procedures and regulations are becoming increasingly complex and diverse. Even the most experienced fire fighter cannot expect to know how to deal with all of the different hazardous materials and equipment potentially present at industrial incidents. 237 Knowledge Management for Organisations Dealing with Critical Incidents Problem The RIMSAT consortium sought to explore how knowledge management (KM) processes and technologies could be used in the fire service to improve training for and management of these diverse, complex incidents. The challenge was to develop KM techniques and tools that would be usable and useful in an environment teeming with time pressure, high stakes and stress on the user. If the system proved to be useful in the fire service, it would likely have applications in other safety-critical domains such as medicine, the transportation and energy industries, the military, and the police. If the system were to be used, it was imperative that it not contribute to a common problem in critical incident management: “information overload”. An incident commander can generally cope with no more than five spans of control (i.e. individuals, processes and/or systems that he must supervise). Beyond this number, tasks should be delegated so that he does not lose control. KM tools for incident commanders had to be able to deliver highly relevant knowledge without adding a span of control and slowing down the decision-making process. In addition to the technical difficulties of the task, there were cultural challenges as well. Fire fighters can be distrustful of computer systems that claim to give advice about how to respond to an incident. Many believe that such systems are more likely to get in the way of a good commander’s split-second decision-making. How is a computer system going to give the appropriate solution to incidents that are almost always unique? Every fire has its own particular characteristics and takes place in unique environments and circumstances. To make matters even more complicated, knowledge must be delivered quickly enough to be taken into account in the five minutes or less that a commander has to make his/her decisions. The prospective users also asked themselves whether the system could potentially diminish the need for experience and allow inexperienced officers access to a ‘fast track’promotion? The Learning Objectives for this chapter (below) summarise the questions that the project faced at its inception. Learning Objectives: • How can a computer system deliver relevant knowledge in an appropriate time frame for critical incidents that are highly complex, unique and quickly evolving? • How can critical incident managers integrate outside knowledge into their decision-making without experiencing “ information overload” ? • How can KM methods and tools gain the trust necessary for their deployment in domains where lives are on the line and where trust is generally built through long-standing relationships? Approach The RIMSAT project consisted of researching the user needs (in terms of the form and sources of knowledge) and then developing and testing custom KM methods, processes, and a prototype computer tool. In order to establish the user needs, a series of twelve focus groups were run with the Staffordshire, West Midlands, London, South Wales and Hampshire fire brigades from the United Kingdom. The project team included several members of the West Midlands and London fire brigades and the final user trials were performed at these two organisations. A modified version of the prototype was ultimately deployed at the West Midlands Fire Service, which is served by 400 full-time operational fire fighters who attend roughly 60,000 incidents per year over 238 Real-Life Knowledge Management: Lessons from the Field an area including three major cities (Birmingham, Wolverhampton and Coventry) and four metropolitan districts (Sandwell, Dudley, Solihull and Walsall). Early in the project, it was clear that a knowledge base could never contain solutions for all of the myriad industrial fire scenarios. The goal was to deliver applicable knowledge to the fire fighters, not just information, but these incidents required complex solutions that would take so long to read and understand that the fire would have completely changed character by the time anyone could determine whether a particular solution was appropriate. Furthermore, a lot of fire fighting knowledge is inherently tacit – it is based on experience and cannot be applied in any simple, logical manner. Often it is difficult to explain why fires behaved in certain ways or why certain fire fighting actions worked or didn’t work. For these reasons, the project team decided to implement tools and processes based on the following key elements: • • • Unit of experience –a self-contained atom of knowledge including a single, specific lesson, its important context details, and an explanation. Rather than addressing entire incidents, a unit of experience applies to a punctual, specific set of circumstances within an incident. The storytelling technique. Within the “Explanation” section of the unit of experience, the author can simply tell the story of what happened in the original incident from which the lesson came. This allows fire fighters to record their experiences without necessarily having a complete understanding of the reasons for observed phenomena. Integrated case-based reasoning (CBR) and model-based reasoning (MBR) technologies. The CBR tool allows for highly structured, precise searches of knowledge bases while MBR further refines the search and quickly performs otherwise time-consuming calculations and predictions. The Unit of Experience The unit of experience is a lesson learned with an explanation of how it was learned and in what contexts it is applicable (Delaitre 2000). Rather than addressing an entire incident, each unit of experience focuses on one particular task within the incident. This compartmentalisation, i.e. the breaking down of complex situations into smaller, more manageable parts, helps the user to quickly concentrate on the most relevant information. For instance, if a fire fighter returns from a fire and lists the lessons that he/she learned, one lesson might concern the identification of entry and exit points for a building. Such a lesson could apply to a variety of different incidents, whether they are fires, chemical spills, rescue operations, or building collapses, so it is important that the lesson not be buried among irrelevant details of the particular incident from which it came. The incident might have gone on for hours, generated a number of lessons, and involved many different fire fighters, hazardous materials, and actions, but the particular unit of experience will address only the lesson about identifying entry and exit points. It outlines the basic limits of the lesson’s applications, but the user is expected to be able to judge whether it is useful in another set of circumstances (Lewis 2004). Following an incident, a fire fighter enters units of experience into a database through a standard quality control process. During incidents or training exercises, fire fighters can describe their current circumstances using pre-defined descriptors (e.g. “tunnel, underground”, “non-breathable air”, “complex building design”) and retrieve relevant units of experience using the CBR search engine. Unit of Experience - A lesson drawn from an incident, presented with an explanation and the key context information from that incident, so that a recipient can understand when and how to apply the lesson. 239 Knowledge Management for Organisations Dealing with Critical Incidents Figure 1 shows an example of a unit of experience. The context details are organised according to attributes and values of each attribute. Attribute Value Breathable Air Quality non-breathable Tactical mode offensive Objectives save life Risk Assessments trapped Incident Type generic Complex Building Design yes Narrow Corridors yes Type of premises tunnel, underground Current factors affecting access/egress miscellaneous access/egress complications Rescue Actions evacuation, search and rescue of civilians, search and rescue of fire fighters, withdrawal of breathing apparatus (BA) team Lesson When committing BA crews from a plan of a site into an incident, confirm the exact location of entry points in relation to the plan and actual site prior to committing personnel into a potentially hazardous area Lesson Level basic Explanation When committing BA crews into an underground complex the committing officer confused the entrance and exit points with those marked on the plan and as a result briefed crews incorrectly on internal layout and search patterns. The officer believed he was committing crews into the entrance when in fact he was committing into the exit of an underground complex. Address Black Country museum Preferred recipient BA Entry Control Officer, BA Main Control Officer, Incident Commander, Sector Commander Incident Date April 9, 2003 Author Barlow Validator Martin Clark Authoriser Andrew Lewis Source and History Training exercise in simulated underground mine museum. Figure 1: Unit of experience Storytelling in the Unit of Experience Communicating fire-fighting knowledge is not always easy. Following an incident, it can be difficult to recount the exact sequence of events or provide in-depth explanations of why certain phenomena occurred. The whirlwind of activity during an incident can make it hard to remember 240 Real-Life Knowledge Management: Lessons from the Field precisely what happened and often the witnessed phenomena are not understood by even the most advanced experts. Expert knowledge in fire fighting is often “tacit”because it cannot be explained through simple rules. Despite all of these complications, fire fighters can almost always communicate their experiences and lessons learned in a coherent way through stories. One example of such a case is a unit of experience that recounted a tunnel fire in which the fire fighters were exposed to falling debris being projected from the ventilation shafts of the tunnel. Some experts doubted that dangerous debris could travel up the long ventilation shafts and endanger fire fighters. Based on what was known about the incident and physical laws, it couldn’t be explained. Nonetheless, the author of the unit of experience had witnessed the phenomenon and it was thus considered worthy of note. For receivers of knowledge, the story is often the form of knowledge that allows them to understand and relate most quickly to others’ experiences (Denning 2002). This mode of knowledge transmission is particularly appropriate to domains such as fire fighting. Studies have shown that the best decision-makers in safety and time critical domains tend to make their conclusions by matching current situations with past experiences. They do not usually go through deductive reasoning, i.e. cause-effect analyses (Klein 1998). For this reason, training in the fire services often relies largely on the exploration of case histories. The unit of experience contains an explanation that justifies the lesson. In many cases, the explanation will tell the story of the incident from which the lesson came. This was an important feature of the unit of experience because it allowed fire fighters to express themselves in a way that was comfortable and effective for them. Fire fighters are accustomed to recounting on-the-job adventures in informal settings like the coffee room, the dining hall or the gym. The readiness with which they take part in such knowledge sharing was an advantage that had to be harnessed. Like fire fighters, industrial technicians often prefer to explain lessons learned through stories rather than through structured presentations. Many assembly line workers are not comfortable explaining a lesson in an academic way, i.e. defining a problem context, taking a position, supporting it with evidence, addressing counter-arguments, etc. In many cases, the storytelling method is more effective, particularly in such domains where there is little time for exploring the causes of every event. The same people that will not contribute lessons learned when they are asked to do so in an academic manner will often readily contribute valuable experience in the form of on-the-job stories. The unit of experience could be applied in such domains. Integrated Case-Based Reasoning (CBR) and Model-Based Reasoning (MBR) Technologies CBR is a technology that allowed the storage and retrieval of units of experience (the “cases”) in a structured way according to their context details. A set of generic context details for industrial fires was defined (called the “domain model”) and the units of experience were stored according to these pre-defined terms (attributes and values). Users can select the values related to their current context in order to access similar units of experience and compare them in a structured way with their current situation (Bergman 1998). Figure 2 demonstrates this case retrieval process. 241 Knowledge Management for Organisations Dealing with Critical Incidents Search Query Attribute Number of Stories in 3 Building Case 1(x% similarity) Case 2(y% similarity) 3 6 Smoke Colour Red Red Red Rain Condition Heavy rain Light rain No rain Preferred Recipient Incident Commander Sector Commander Safety Officer Lesson Na It is important… . Beware of… . Explanation Na In this incident, the When there is red smoke… . rain… . no Figure 2: Case retrieval and comparison For aspects of critical incident management that are well understood and can be distilled into reliable models, it was considered worthwhile to do so. The RIMSAT MBR models were integrated with the domain model used for CBR. Without delving into the mechanics of RIMSAT’s model-based tools, their basic functions are to: • • • • Suggest potentially important context details based on the current incident description (thereby speeding up and optimising the case-based search) (MéridaCampos 2003) Prioritise risks based on the specified context Refine the search according to risk priorities (Klein, R. 2001) Calculate resource needs and safety margins (thereby providing precise answers for a range of circumstances within well-understood aspects of incident management) (Mérida-Campos 2003) Recognition-Primed Decision-Making It is widely accepted that the dominant form of decision-making for fire service incident commanders is Recognition-Primed Decision-making (RPD), as defined by Gary Klein (1998). In RPD, commanders search their memories for experiences that are relevant to their current situation. They test these experiences mentally, envisioning whether they are truly applicable. When they find the most relevant experience, they adapt it in order to develop a proper course of action. Case-based reasoning, as it is implemented in RIMSAT, proposes relevant experiences based on a structured search query. In doing so, it draws on the collective experience of the entire network of users. It provides the user with access to an organisational memory. Such technology can be seen as feeding the RPD process with additional experiences (Lewis 2004). This relationship has been described by military theorist Thomas Killion (2000). Killion proposes that a computer system support the RPD process by widening the experience base of the decision-maker. Figure 3 outlines this process. 242 Real-Life Knowledge Management: Lessons from the Field A2 A2 C1 C2 1 2 3 UoEs reside in RIMSAT experience base CBR engine supplies UoEs based on user request User evaluates and adapts the most relevant UoEs using RPD Figure 3: Units of experience in the Recognition Primed Decision-making (RPD) process Case Analysis The Importance of the User Role Vis-à-vis the Computer System Though the RIMSAT team had worked in close collaboration with the fire service to adapt the tools and methods to the specific constraints of fire fighting, many fire fighters still felt that a knowledgebased decision support system would complicate the incident commander’s task and that it would never be able to provide appropriate solutions as quickly as an experienced commander. They said that they would have much more confidence in an experienced commander than in a computer system. The project team completely agreed with this point of view but suggested that it was not incompatible with a well-constructed, well-used KM system. The team proposed to run a series of training sessions that would explain the role of the incident commander vis-à-vis the system and the difference between KM and artificial intelligence. There was a sense that KM was being confused with artificial intelligence and that the role of the KM system had not been made sufficiently clear to the user population. During the half-day KM training session that was organised, fire fighters readily admitted that there was not enough dissemination of lessons learned following incidents. As mentioned earlier, they were also very aware of the risk of information overload. When presented as a means of overcoming precisely these two problems, KM appealed to many fire fighters who had previously viewed it as another dot-com era catch phrase. In addition to providing an introduction to KM, the training session also explained the envisioned roles of the tool and the user in the decision-making process. There was a tendency among the user group to view the KM system as an artificial intelligence tool that would actually make decisions in place of the incident commander. It was important to explain that the system was, on the contrary, only intended as a supporting resource for the commander. It was explained that the system was only expected to give a set of possible solutions to a given problem, thereby complementing the RPD decision-making process. Ironically, this evoked a concern over the fact that the system would sometimes propose incorrect advice. This is indeed the case: no matter how good the validation process and how complete the knowledge base, the knowledge proposed by the system will not always be appropriate to the current situation. Herein lies the role of the incident commander. He/she must have the experience and ability to recognize the proper solution among those proposed… and to know if none of the 243 Knowledge Management for Organisations Dealing with Critical Incidents advice is appropriate. This is comforting to the user because it implies respect for and preservation of the incident commander’s primary role in decision-making. The fire fighters accepted this breakdown of roles and responsibilities. The tool is expected to provide the user with the most relevant cases in response to a search query. It is the user’s responsibility to make appropriate decisions, regardless of the cases proposed by the system. The system brings the collective memory of the entire network of users to the aid of the decision-maker. It provides him/her with additional resources. However, the system advice does not change the commander’s accountability for the decisions taken. The fire service decided that the decision support system would be operated by one of the incident commander’s staff because the operational commander of the incident has no spare time to deal with a computer system. However, future evolutions of such decision support systems might be voice activated and incorporated into helmets, perhaps allowing them to be used directly by commanders1. It is particularly important to emphasise these roles and responsibilities in the fire service because of the potential consequences of poor decisions. If someone does not take the time to evaluate advice given by the tool, lives could be lost. Anyone using such a decision-support system should be certified to use it through a training program that ensures a full understanding of these concepts. Making clear distinctions of roles and responsibilities can also avoid a phenomenon called “malicious compliance” that can occur in high-stress hierarchical organisations. Malicious compliance is when a person obeys the order of a superior despite knowing that the order is inappropriate. The failure of the action is then attributed to the superior, while the lower rank is free of responsibility. This phenomenon can also happen with unwelcome computer tools when users purposely follow erroneous advice in order to prove the inefficacy of the tool or to shirk responsibility. Such phenomena are less likely when the users have been taught that they are expected to make good decisions with or without the decision support tool, and that they are accountable for their decisions regardless of the knowledge presented by the tool. Building Trust Over the course of the project, there were several trust-related barriers working against effective KM in the fire service. One barrier that nearly prevented the launch of the project was a fear that the discussion of errors or the delivery of erroneous advice would expose the organisation or individuals to criticism or liability claims. Once these fears were conquered, there remained distrust of the system’s ability to achieve its stated objectives. Liability Fears Liability is one of the most sensitive issues surrounding KM in safety-critical domains. Almost all critical incident managers will agree that discussion of errors is one of their primary learning methods. That is why there is a debrief after almost every fire fighting intervention, military operation, and surgery. However, such discussions are generally not communicated to an audience beyond the actual participants, despite the obvious utility of such communication. The reason is that the legal establishment (laws, governments, judges) has not evolved to protect this key learning process (Cole 2003). Though fire brigades have not been targeted to the extent of doctors in malpractice suits, such lawsuits are still a concern that causes some legal departments to seek to restrict the discussion of errors. Any wide inter-organisation discussion of errors is seen as running the risk of exposure to 1 The EC-sponsored AMIRA project is currently researching the viability of such a system: http://www.amira.no. 244 Real-Life Knowledge Management: Lessons from the Field liability claims. Before such open discussion can take place, there needs to be an acceptance that, in the heat of critical incidents, poor choices will be made and accidents will happen. Every industrial fire cannot be handled perfectly, just as every surgery cannot be a success. The goal is to learn from errors, not repeat them, and minimise their frequency and consequences. The RIMSAT project was nearly grounded because of such liability fears. It was extremely difficult to find fire fighting organisations that were willing to participate in such a project. One local government was worried that any system that led to poor decisions could be a source of liability. Another group did not want any debrief reports to be shared, regardless of confidentiality agreements within the project, because it was worried that past errors (if there were any) might be exposed. There appeared to be a deeply ingrained policy of limiting liability exposure, even at the cost of potential learning. Similar mentalities can be seen in business environments where confidentiality is sometimes pursued excessively or blindly to the detriment of knowledge sharing. Though many key people in critical incident management recognize that the path must be cleared of legal barriers to make way for better organisational learning, such changes take a long time and involve many players. A lot of the organisations are under the control of government entities that are slow to evolve. There is a need to convince upper management, legal departments, and even the operational users themselves. All levels of the organisation must agree to change. The RIMSAT project and the participating fire brigades managed to overcome these liability concerns by taking a close look at previous legal judgements in this area and thereby elucidating their risks. This analysis brought clarity to the fire service’s role and set the stage for a much more open and confident sharing of knowledge. First of all, it should be noted that, in the event of litigation regarding a fire or other event, an organisation is obligated by law to divulge all information and knowledge that it has about the event. A litigator will obtain damaging information if it exists, and attempts to ‘hide’any such information would be detrimental to the defendant in a court case. It is rather pointless to prevent the open discussion of errors so as to not divulge compromising information if that information can be requisitioned at any time. When lawyers try to recover damages from the fire service for allegedly poor fire fighting performance, the fire service’s defence is often based on the idea that when the fire service is called to a building on fire, something catastrophic has already happened. The efforts of the fire service are always well intentioned, and it is very rare that actions taken by the fire service actually make matters worse than they already are. Fire fighters do their best to put fires out and they should not be blamed for interventions that do not go perfectly. In fact, it has been widely accepted that legally, fire brigades are not obligated to put out fires, but merely to respond to calls. As long as they do not make the fire worse, they are not responsible for the outcomes. The fire brigades in the RIMSAT project concluded that there was enough legal protection and sufficient anticipated benefits to push forward with more open sharing of knowledge. Nonetheless, legal departments of other organisations are still limiting the extent of knowledge sharing, so there is a need to communicate to a wider audience on this subject. The ultimate goal should be complete transparency, in which the practitioners, public, and legal authorities have a common understanding of the risks associated with critical incident management and the expectations of each person involved. When such an understanding exists, lessons learned can be discussed freely and errors properly distinguished from malpractice. Associated legislation would allow critical incident management organisations to work under the assumption that they could freely exchange lessons learned without exposing themselves to unjust lawsuits. Meanwhile, they would be aware of their responsibilities and know that they would be accountable for errors resulting from negligence –i.e. malpractice. The prevention of such errors would serve as an incentive for everyone to implement and use the most effective knowledge sharing processes. 245 Knowledge Management for Organisations Dealing with Critical Incidents Fire services like those participating in the RIMSAT project have taken a number of steps to encourage a knowledge-sharing culture. They use terms like “learning points”and “development opportunities”rather than “errors”or “mistakes”in order to emphasise the fact that errors can be foundations for progress and should be accepted as inherent in their jobs. The brigades feel that this encourages fire fighters to be more open and frank about discussing what happened at incidents. It was very important in the RIMSAT project to reassure fire fighters that the system was not intended as a means of increasing scrutiny of their job performance. For this reason, video recording of incidents was ruled out for the present time, despite its potential benefits for the system. The fire service unions feel that video recording would interfere with the decision-making process and bring about unreasonable post-incident scrutiny of individuals’performance. Trust in the Tool A number of people in the fire service had seen too many big ideas come and go and/or had become entrenched in an anti-technology mindset. Such a state of mind has many parallels in the industrial world. How many companies have adopted complicated tools and then seen them neglected and forgotten because they don’t fit the user needs and constraints? The same thing has taken place in the fire service. In industry, one sometimes comes across line managers who have been doing their job for 30 years and are going to be damned before they let a computer system tell them how to do it. Many of these companies work in a state of constant crisis in which “putting out fires” (figurative term for managing business crises) is considered part of the everyday job of a line manager. His ability to manage such crises is rooted in his experience, creativity, and years of hard work. These attitudes are very much present in the fire service, where the literal putting out of fires is also seen as rooted firmly in the experience, skill, and talents of the incident commander. One of the only ways to convince these sceptics is through concrete examples of the computer tool’s utility. For example, a powerful argument in favour of the RIMSAT tool was made via a fire involving plastic crates. During the user trials, the prototype system was taken to a difficult fire involving plastic crates. With the particular crates involved, the fire spread very rapidly, did not appear to be retarded by water, and radiated intense heat. Several mistakes were made: the fire fighters placed themselves and their vehicles too close to the fire (it was spreading rapidly and they could have been trapped between the fire and the outer fences) and they actually accelerated the spread of the fire by use of water jets instead of foam. They entered units of experience into the database that said that, for fires involving such plastic crates, it is important to immediately call for backup resources, place vehicles and personnel a good distance from the fire, and use fine sprays and foams to extinguish the fire rather than water jets. A year later, there was an incident involving the same type of plastic crates, but on a much larger scale. Unfortunately, the units of experience from the previous incident were not available to the attending fire fighters (being only a prototype, the tool was not yet deployed). The same mistakes were made but with more serious consequences. The incident commander said that the units of experience from the previous incident would have been an enormous help. Stories like this one have led to significant pushing by senior management to implement a knowledge-based decision support system. Certification of Users A certification process is essential to guarantee the integrity of such a KM system. Requiring certification of users ensures a certain level of competence and instils confidence in the user population. As the system is often consulted in high-stress situations, a user’s lack of familiarity with the system quickly translates into panic and frustration. This was witnessed in the first trials of the 246 Real-Life Knowledge Management: Lessons from the Field RIMSAT prototype, when users were unfamiliar with the interface and had a difficult time describing their situation with the RIMSAT domain model (structured search query). If users are unable to get appropriate results within an extremely short period of time (one or two minutes), they consider the system to be a failure. By requiring that users go through a training process in which they familiarise themselves with the domain model, many of these complications can be avoided. Such training prevents them from making pre-mature judgments of the tool and ensures that they are well acquainted with the tool before they use it during incidents. Certification programs also define roles and responsibilities (thereby avoiding the malicious compliance phenomenon mentioned earlier) and provide a strict set of procedures for contributing to and managing the system. Attainment of the certification provides a sense of achievement and should also be a positive point in employee performance evaluations. The human resources department can help provide incentives for certification. Nonetheless, the training should be mandatory for all of those using the decision-support system during incidents. Those who use the tool in their spare time for self-training purposes do not necessarily have to be certified but should be encouraged to do so. Results and Business Impacts Key Findings The user trials of the decision support prototype demonstrated that incident command teams could indeed retrieve relevant knowledge quickly. Nonetheless, for budgetary reasons and technical issues (no network capabilities on the command vehicles), the tool was at first only deployed for use in the training of operational fire fighters. Fire fighters could explore a library of units of experience at the firehouse and add new ones based on their experiences in the field but they did not have access to the CBR search interface. These deployment obstacles turned out to be blessings in disguise. By introducing it slowly in a low-stress training environment, the West Midlands Fire Service was able to generate acceptance and appreciation of the tool. After a year and a half of using the system to improve training, the contribution and consultation of units of experience has become a regular part of the fire fighters’ jobs. The creation of units of experience has been integrated into the established business processes such as the debriefing and reporting carried out by monitoring officers. Among the 400 operational fire fighters, there are over 150 consultations of the case base per month and 1-2 new units of experience created per month. The support for the initiative has helped resolve the budgetary and technical issues and the complete CBR system will soon be used for real-time incident support. For training, the West Midlands Fire Service has used a simplified version of the unit of experience. Each unit of experience in the current system contains only a title, the lesson learned and an explanation. The titles are listed alphabetically, allowing users to peruse the list and open those units of experience that interest them. Fire fighters are apparently willing to take the time to dig around in the library of units of experience. These unstructured units of experience and the “perusing” search method would not be quick enough for use during incidents, but they are sufficient for self-training. The basic process of building and reading units of experience has important benefits for organisational learning (Prencipe 2001). The fire fighters have shown a great deal of appreciation for the units of experience that have been gathered. Many of the units of experience deal with circumstances and lessons learned that could never have been anticipated before the actual event. They often treat issues that are not covered by procedures or other training resources. Once the implementation took place, there was very little reluctance or negativity with regard to the system. While contributors have been proud to share 247 Knowledge Management for Organisations Dealing with Critical Incidents their achievements and good practices developed on the job, they have also shown a great willingness to communicate about their mistakes. Though the deployment of the system and processes at West Midlands Fire Service was carried out almost entirely by a single officer, it was essential to have the full support of the Chief Fire Officer and to constantly communicate about the initiative. Reminders about the system were sent out monthly in addition to alerts about new units of experience. Though the current use is already satisfactory, the project leader in the fire service expects a large increase in use when the new interface has been implemented. Business Impacts Organisations dealing with critical incidents have many of the same requirements and constraints as regular businesses, but in an amplified form. For example, businesspeople want to be able to access and understand information and knowledge as quickly as possible; in the fire service, every second of delay can mean lives lost. When deploying a new system in a corporation, buy-in needs to be won through the rapid servicing of problems; in the fire service, if the system hinders the management of one incident, trust in the system might be irrecoverable. Thus, the application of KM to the fire service provides interesting insights into problems dealt with in the business world. High Expectations and Gradual Deployment KM systems can often be victims of the high expectations that they generate. In the fire service, it was essential to introduce the system as a tool for fire fighters to store, share and use their accumulated knowledge. By design, the system is only as good as the people contributing to it and using it. If the fire fighters had expected to be able to sit back and let RIMSAT tell them what to do, the initiative would have been doomed. The introduction of the system as a training resource was a perfect way to make its usefulness and limitations clear. The same measured expectations and gradual introduction would likely foster wider acceptance of systems in some corporate KM initiatives. Domain Models can be Built for Complex Domains The RIMSAT case also demonstrates that a domain model for a case-based reasoning tool can be created for a complex domain like industrial fires. The same could likely be done for other complex domains – markets, behaviours, medical conditions, etc. The resulting system allows for rapid retrieval and comparison of relevant knowledge. Units of Experience as an Alternative to Best Practices A common problem with best practice systems is that the time and energy necessary to define and validate a best practice can be a barrier to its use. Furthermore, the best practice can only be defined for a generic context and will always be vulnerable to differences in circumstances, tools or environment. This is particularly true in the fire service and other critical incident domains. Procedures (i.e. best practices) have been established for years, but they really only form the tip of the iceberg in terms of shareable knowledge. The unit of experience method provides a way of formatting and sharing good practices, new ideas, warnings, and lessons learned. There are very few cases when fire fighters can determine with certainty whether their course of action was the best one or whether it would be the best in another set of similar circumstances. However, they can still profit from the experience. By being simple to create and not raised to the level of a best practice, the unit of experience can alleviate peoples’ inhibitions to using and contributing to knowledge sharing systems. They also allow people to 248 Real-Life Knowledge Management: Lessons from the Field express “bad practices”, warnings, and other forms of advice. These benefits have applications to both safety-critical domains and more mainstream domains. Conclusions Though this chapter has focused on the cultural barriers that needed to be overcome to institute knowledge sharing in the fire service – namely, the complexity of the domain and the mistrust of technology and KM –it is important to note the aspect of fire service culture that greatly facilitates knowledge sharing: fire fighters want to learn and share their knowledge with colleagues beyond the bounds of their own organisation. This is true for many critical incident domains and should be capitalised upon. Those who work in the KM field are used to dealing with employees who guard their knowledge like state secrets and organisations that are progressing by baby steps towards the paradigm of the knowledge-sharing extended enterprise. In fields like medicine, emergency services, and transportation, there is a refreshing willingness to collaborate across typical frontiers. This opens up enormous possibilities. In the UK, a KM system linking all of the 55,000 UK fire fighters is currently under consideration. Afterwards, why not connect them with fire fighters in other countries? Could the same be done for doctors in order to help with patient diagnosis and treatment? For police trying to solve crimes? While there are cultural barriers and trust issues like the ones mentioned in this chapter and budgetary and bureaucratic difficulties associated with public service institutions, they are certainly surmountable. If introduced in a careful, well-planned manner that takes these obstacles into account, KM should soon make important contributions to the improvement of critical incident management. 249 Knowledge Management for Organisations Dealing with Critical Incidents Practical Tips and Key Lessons: • In high-stakes, high-pressure domains, slow deployment of KM systems (e.g. in a training environment) can be a good way of avoiding resistance. • The unit of knowledge exchange has to have the appropriate “ granularity” , i.e. it must have a breadth or specificity that corresponds to the types of questions posed by the users. • In complex domains, many people find it easier and more effective to explain lessons learned with real stories from the field rather than with logical arguments. Such stories can be captured and shared through a variety of KM systems. • KM has to help reduce “ information overload” , not exacerbate it. • For safety-critical decision-makers, it is important to make the distinction between KM and artificial intelligence (AI). KM supports human decisionmaking by organising knowledge and information while AI actually takes an active part in the decision-making process. • The best weapon against “ malicious compliance”with the KM tool is clear communication of the fact that the user is accountable for his/her decisions, regardless of the knowledge delivered by the tool. • The discussion of errors is one of the most valuable sources of knowledge, but in order for it to be effective, it is important to associate errors more with learning than with fault. Using terms like “ learning points”or “ development opportunities”rather than “ errors”or “ mistakes”can be helpful. • Evidence of the repetition of mistakes is a powerful argument for organisations to develop their KM processes and tools. • Mandatory user certification programs, organised in conjunction with the department of human resources, are a good way of building trust and understanding of KM systems, particularly in safety-critical domains. They prevent pre-mature judgments and improper use of the system by ensuring that all users have completed the required training. • Within critical incident management and public service communities, there is a refreshing willingness to share knowledge between organisations. Acknowledgements We would like to thank all of the members of the RIMSAT project team, their organisations, and the European Information Society Technologies Program for making this research possible. In particular, we would like to thank Eric Auriol, Andrea di Trapani, Axel Antoniotti (Kaidara Software); Peter Cox (TMPL Consulting); Martin Hunn, Graham Stagg (London Fire Brigade); Carlos Mérida-Campos, Emma Rollon, Ignasi Rodriguez-Roda, Ulises Cortès (Lequia – University of Girona); Ben Ward, Dave Bowen (Teradyne); Frank Sheehan, Martin Clark (West Midlands Fire Service); Claude Koemmerer, David Faure (Nemesia); Paul Hearn (European Commission) and Patricia Arundel. References Bergmann, R., Breen, S., Göker, M., Manago, M., Wess, S., (1998) Developing Industrial Case Based Reasoning Application, The INRECA Methodology. 250 Real-Life Knowledge Management: Lessons from the Field Cole, M. (2003) The accretion of error : Professional Knowledge and the Making of Mistakes in Health Care. KnowledgeBoard, http://www.knowledgeboard.com/cgi-bin/item.cgi?id=98601, 2003. Delaitre, S., Moisan, S., Mille, A. (2000) Instrumentation d’un processus de retour d’experience pour la gestion des risques. Proceedings of the conference IC2000, pages 3-10, N. AussenacGilles Editeur, Toulouse, May, 2000. Denning, S. (2002) Advance text of Squirrel Inc. : A Fable of Leadership Through Storytelling. Accessed via : http://www.knowledgeboard.com/cgi-bin/item.cgi?id=95935, November, 2002. Killion, T. H. (2000) Decision-making and the levels of war. Military Review, Fort Leavenworth: Nov/Dec, 2000. Klein, G., (1998) Sources of Power: How people make decisions. MIT Press. Klein, R. (2001) The Information Gap – Risk Assessment and Operational Command at Incidents Involving Hazardous Materials. Where Should We be Going? VectorCommand Information Bulletin, Summer 2001, International Edition 0.4, page 11. Lewis, A., ed. (2004) Learning from Critical Incidents: Knowledge management methods and technologies for supporting critical incident managers. Editions Sapientia, Paris: 2004. Mérida-Campos, C., and Rollon, E.(2003) "Using a Relevance Model for performing Feature Weighting.” In Proceedings of CCIA 2003, IOS-Press 2003. Prencipe, A., Tell, F. (2001) Inter-project learning: processes and outcomes of knowledge codification in project-based firms, University of Sussex. Authors’Biographies Andrew Lewis is currently Knowledge Management Coordinator for Accenture Financial Services in France. During the RIMSAT project, Andrew was working for Nemesia, a French consulting company specializing in knowledge management. He is co-author and editor of the book Learning from Critical Incidents: Knowledge management methods and technologies for supporting critical incident managers (Editions Sapientia 2004). He is also editor of the KM & Critical Incident Management special interest group (CIM SIG) on the KnowledgeBoard website (www.knowledgeboard.com). Ben Diamond is a Station Officer with West Midlands Fire Service in the UK (www.wmfs.net). He has worked in this busy urban emergency service since 1988, gaining a wide experience of this domain. He contributed to the user trials and evaluation during the RIMSAT project and is now taking this work forward with the AMIRA project (www.amira.no) in which West Midlands Fire Service are users. 251 14 prodela –On-demand Training for Public Administrations Liza Wohlfart Dorothee Frielingsdorf Real-Life Knowledge Management: Lessons from the Field prodela: On-Demand Training for Public Administrations Liza Wohlfart, IAT, University of Stuttgart (Liza.Wohlfart@iat.uni-stuttgart.de) Dorothee Frielingsdorf, IAT, University of Stuttgart (Dorothee.Frielingsdorf@iat.uni-stuttgart.de) Abstract As the modernisation process of the German public administrations proceeds, theoretical concepts have to be transferred into real life practice, a time-consuming process that seriously threatens the productivity of public servants. What is urgently needed is ad hoc support in the work process that helps to learn about basic ideas, to apply them and to find fast solutions for upcoming problems and challenges. Aim of the German project prodela was the development of an ondemand training for tackling this problem. It was realised by combining e-learning, traditional seminars and knowledge management in an innovative mixture that enables on-demand support and strengthens community aspects. The basic platform adapted for providing the prodela on-demand training accordingly was not an e-learning but a knowledge management system, ready to provide easy browsing and communication facilities. Apart from developing a technical prototype, the project also led to scientific insights concerning both the necessary requirements for designing on-demand support for public servants and for implementing it. Keywords: on-demand learning, e-learning, knowledge management, public administrations Background Industrial Context The public sector in Germany employs around 4.8 million people, 1.57 million of whom work in the 13,800 communities of the country (Bundesministerium des Inneren, 2002). The working conditions of these communities have dramatically changed in the last decades. The demands of citizens have risen, customer-orientation is now considered to be an essential part of the service mentality. At the same time, the financial situation of public bodies has dramatically changed, as their budget has become tighter. As a consequence, public administrations are currently confronted with a modernisation process that focuses on the implementation of business management instruments and challenges both the traditional working procedures of public bodies as well as their cultures. In a survey of 297 German cities, 72% of them reported to have optimised their processes in the last five years in the course of re-structuring projects. The use of Internet, e.g. for eGovernment, is one of the big issues in this process, for improving internal, as well as governmentto-business (G2B) and government-to-citizens (G2C) relationships (Kommune21, 2005). Learning about new processes and adapting to them is a time-consuming process. The learning processes related to the modernisation of the German administrations seriously threaten the productivity of the public servants, as they have to try to keep updated on changes and 255 prodela: On-Demand Training for Public Administrations developments, search for necessary information and transfer it into their daily practice. The German project prodela, which was funded by the German ministry for economy and work (BMWA) from January 2002 to July 2005, focused specifically on reducing this loss of productivity: "prodela" = Produktivitätssteigerung durch problemorientiertes on demand-Lernen am Arbeitsplatz (increase in productivity through problem-oriented on demand learning in the work place). Problem A main problem of the modernisation process of public administrations in Germany is that its realisation is oriented on theoretical models, such as the "Neue Steuerungsmodell" (new steering model), whose implementation in real-life practice has to be done by the single public administration. The related problems that subsequently occur are then experienced by different people in different administrations – but not shared. Solutions that have proven to be successful for a specific case are not documented and made public, so that others can profit from them. This fact is even more important as there is already a growing awareness of the importance of inter-communal exchanges and collaborations, in areas such as eGovernment (Kommune21, 2005), IT infrastructure, business support or tourism (Städtetag Nordrhein-Westfalen 2005). Apart from the lack of a community perspective, the available training for public servants often fails to provide ad hoc support on up-to-date contents. Traditional face-to-face seminars e.g. can be a good introduction to a topic, they however cannot help to cope with the upcoming problems and challenges thereafter and cannot keep the learners updated on new standards and regulations. In addition, although there is a range of scientific findings on didactical models, many traditional trainings do not make a real use of them. Traditional seminars often base on purely instructionalist approaches, which can be useful for teaching the basics, but are not sufficient for on-the-job support. The knowledge thus acquired is stored and can be reproduced, but it is difficult to apply it for coping with daily tasks. If learning is to be a continuous process, integrated into work, other approaches have to be favoured that provide more of an on-demand support. This on-demand support can be related to the didactic approach of situated learning, which is based on constructivistic ideas (see e.g. Mandl, Gruber & Renkl, 1997). It considers knowledge as context-dependent, i.e. as a construct that is build up individually by each learner. The situation the knowledge is created in is thus of great importance and should not be too different to the situation it is applied in to ease the transfer. E-learning can be an effective means to provide training in the work process. It however challenges the discipline and self-organization competences of learners, so an effective support e.g. via online tutoring is important. The exchange in online communities can provide a useful frame for this, as well as for the exchange with other learners, which is crucial for motivation and knowledge transfer. These elements are, however, neglected by many e-learning applications, which are based on a traditional course model, sometime supported by glossaries and FAQ (frequently asked questions) lists. A general problem of public administrations in Germany today is that their available budget is shrinking and shrinking, despite the high costs for trainings and experts. What they thus need is a training that is both low prized and provides practical ad hoc support in the work process. 256 Real-Life Knowledge Management: Lessons from the Field Learning Objectives: In this case study you will learn about • the main characteristics of on-demand training; • the specific requirements of the target group public administrations; • the critical success factors for creating and implementing on-demand training in public administrations; • how to evaluate the efficiency of on-demand training. Approach The prodela on-demand training was designed by creating a first prototype, based on an assessment of the user requirements, which was then optimised through various user tests. The user requirements analysis was mainly done by means of work observations in public administrations. In addition, experts were interviewed and a literature review was done. On basis of the results of the user requirements analyses, standard learning scenarios, i.e. the most common situations where ondemand support is needed during the modernisation process, were identified and the necessary means of support derived. The standard learning scenarios then formed the frame for designing the didactical concept of the prodela on-demand training with its mix of traditional seminars, e-learning and knowledge management. The evaluation of the prodela prototype was done on the basis of a four-step evaluation model. This model was mainly informed by the level-based evaluation models of Kirkpatrick and Schenkel 1. Kirkpatrick's four level evaluation model is one of the most known evaluation models. It distinguishes between the levels "reaction", "learning", "behaviour" and "transfer" for evaluating the efficiency of a training. Schenkel added two levels to Kirkpatrick's model to consider as well the evaluation of the learning solution by experts during its development ("product" level) and the economic success of the training measure ("return on invest" level). As the timeframe of the prodela project was restricted, it was not possible to assess the long-term return on investment. In addition, the levels "behaviour" and "transfer" were merged into one ("transfer"). The evaluation model of prodela thus consisted of the following four levels (see Figure 1): • Product: how is the training designed, what are its features? • Reaction: how is the training used, how many users make use of it, how often do they do so and when? • Learning: what learning effect can be observed, which knowledge could be acquired, deepened, expanded? • Transfer: how strongly is the acquired knowledge and the ad hoc support used in the daily work processes, how has the behaviour changed? The evaluations were then done by means of interviews (especially for the "product" level) and surveys ("reaction" and "learning" level) with test users as well as through observations of the learners' behaviour in the Fraunhofer IAO learn lab2, a specific laboratory designed for analysing the learning behaviour of e-learning users ("transfer"). Schenkel, P. et al. (2000). Qualitätsbeurteilung multimedialer Lern- und Informationssysteme. Evaluationsmethoden auf dem Prüfstand, BW Bildung und Wissen Verlag und Software GmbH, pp. 59. 2 More details on the IAO learn lab are provided in later sections. 1 257 prodela: On-Demand Training for Public Administrations End of project Focus of the evaluation Transfer Learning Reaction Product Project start Figure 1: prodela evaluation model In addition to the feed-back of the users, the developed prototype was also evaluated by interviewing the trainers leading the face-to-face seminars and providing help for the users as well as the call center tutor. The focus of the evaluation changed from product and reaction to learning and transfer in the course of the development. Case Analysis User Requirements Analysis The observation of the work processes in the public administrations produced some concrete requirements for the prodela on-demand training and showed some standard learning scenarios, from which further user requirements could then be derived. The main concrete requirements for the prodela on-demand training the observations revealed are the following. • Most public servants did have an own computer at their work place. E-mail was used more and more regularly, while not all of them did have an Internet access. The experiences of the employees with the Internet varied accordingly. • Especially the public servants working in direct contact to customers need short, independent modules for learning, as they cannot interrupt their work processes for a long time. • A stronger exchange of experiences with employees of other administrations was strongly requested. This exchange of experiences was already realized by means of informal work groups, which however were rather short-termed due to the lack of moderation and management. In addition, these work groups were not transparent to other people, so they were rather closed with a more or less casual choice of members. In addition to these concrete requirements, four main standard learning scenarios could be identified during the work observations the prodela solution would have to support. From these learning scenarios, further requirements for the solution design could be derived. 258 Real-Life Knowledge Management: Lessons from the Field • 1st learning scenario: learning for a concrete effect. The aim in this situation is to learn about a concrete process or procedure, such as the design of a controlling report. This scenario can e.g. be supported by checklists and FAQs-lists. • 2nd learning scenario: learning about new guidelines. The challenge for learners in this situation is to familiarise themselves with a new area or task. Useful support material here includes case studies from other public servants and the exchange with others in forums and chats. • 3rd learning scenario: learning for rationalisation and effectiveness. Public servants are confronted with more and more complex tasks, so learning how to rationalise things and how to be more effective in one's work processes is crucial. Tutors and professional experts can be a good guide in this respect. • 4th learning scenario: learning for acquiring implicit corporate knowledge. In the course of the modernization process, it is indispensable to inform public servants about the strategic goals and vision of the organization and to help them see the impacts for their daily work. A restricted forum for employees of one administration can be a good place to discuss these things. Community Building The first prototype of the prodela solution was then designed in the following way. A typical prodela course would start with a face-to-face seminar providing an introduction to the topic; the second phase was then based on e-learning modules (web-based training, WBT); the third was a face-to-face seminar again, focusing on certain aspects of the topic in more detail and the practical application in the daily work. The fourth and final phase then was the self-managed on-demand phase, where learners would apply their acquired knowledge in the work process, supported through a rich document data base of so-called "on-demand contents" (articles, case studies, etc.; see also below). offline elements face-to-face seminar (introductory) online elements (platform) e-learning modules (WBT) face-to-face seminar (details/application) on-demand documents (ODD) tutoring services: call center tutor supported by platform provider and seminar trainers; contact details (mail, phone) online forums (moderated by tutor respectively seminar trainers) time Figure 2: Overview on a typical prodela course to a specific topic Right from the start of the course, the learners were supported by a call centre tutor (mail, phone, forum contact), who supported them in organisational, technical and topic-specific issues. 259 prodela: On-Demand Training for Public Administrations Furthermore, an on-line community of practice (CoP) was build up by means of topic-related forums (moderated by the seminar trainers), a general forum (moderated by the call-centre tutor) and contact lists showing the contact details of all learners in a course as well as their function and position. Community of Practice An important aspect of the prodela solution was the support of the collaboration of the learners of the prodela community (peer support). This aspect had a specific importance for the on-demand focus of prodela, as many problems in the course of the modernisation process arise from the practical implementation of modernisation concepts. These problems can often be solved much faster by peer contacts than be professional experts. In addition, it was important to pay respect to the limited budget of the administrations, so peer support was considered as an economical alternative to expert tutoring and a useful means to update the content database (as learners themselves were asked to provide case studies, checklists and so on). The Platform The platform that was used for prodela was an adapted knowledge management platform, not an elearning platform. This decision was made on basis of the specific requirements of the on-demand approach, such as the strong interlinking of the learners and the dynamic and heterogeneous character of the offered contents. Figure 3: The prodela platform 260 Real-Life Knowledge Management: Lessons from the Field Design of the Contents prodela was conceptualized as a dynamically growing system, where new contents are regularly added. The identification of the main learning scenarios here helped to identify, on the one hand, the most crucial contents (e.g. e-learning modules, checklists, case studies). On the other hand, they informed the concrete design of these contents, as e.g. the e-learning modules were primarily designed as basic introduction to a topic, while other contents such as checklists and FAQ-lists were offered as add-on for on-the-job support. The main content types offered by prodela were: • web-based modules: e-learning modules designed to provide basic information and training for a certain topic. Every topic was introduced by means of 6-10 single modules, which were kept short (10-15 minutes needed for each) to enable working with them during short breaks in the work process, but which related to each other to provide a holistic introduction to a topic. • on-demand contents: all contents ready to provide practical on-demand support in the work process were summarized as "on-demand content". This included e.g. FAQ-lists, case studies, articles and templates. On-demand contents were offered by professional experts, as well as by the learners themselves, who provided case studies on tasks they had realized and templates they used in their daily work. The quality of the prodela contents was ensured by means of a quality management process. All contents provided by learners were checked by experts for professional correctness and by the prodela call center tutor for design aspects and correct spelling. The quality inspection status of each document was indicated. Figure 4: prodela e-learning module (on “controlling”) 261 prodela: On-Demand Training for Public Administrations Tutoring Tutoring can have a whole range of different functions, from the active pushing of information to the passive pulling of support. It can be personal and electronic. In prodela, there was online- as well as offline tutoring, the first being provided by online documents (e.g. administrative FAQ, user guide), forum and mail contacts to professional experts and the call center tutor. Offline support was offered during the face-to-face seminars and via phone. Evaluation and Feed-Back The main evaluations in the course of the prodela project focused on the levels product, reaction and learning and were done by means of a survey done with all course participants. The survey questionnaire was formulated on the basis of detailed interviews with single learners, who tested the very first prototype of the prodela on-demand training and provided important feed-back for its further adaptation. Some of the feed-back of the survey evaluation pointed to the contents' lack of focus on the specific target group public administrations at the time. Some of the first contents still e.g. featured examples from private companies or offered standard templates that were hard to transfer for an application in the public servants' daily job. To prevent this problem in the future, a detailed authors' guideline was developed that clearly explained the focus, style and quality expected for prodela contents. Other feed-back tackled the functionalities of the platform in general as well as of the forums and the e-learning modules in specific. The user guide that explained all technical features and the available contents and tutoring offerings was also a feed-back result. An important output of one specific survey on technical problems and requirements revealed that many learners could not make use of the audio function of the e-learning modules that was at first implemented as a standard feature for using them properly. As a consequence, the e-learning modules were then equipped with a text that could be blended in as substitute for the audible explanation. The design of the on-demand contents was another source for further improvement. A detailed design template was elaborated to ensure the homogenous presentation of all contents. In addition, content templates were realized for all important content types to help learners offer their own contents to the learner community in an appropriate form (e.g. how to write a case study). Concerning the tutoring, most learners wanted to be regularly updated on new contents and courses. A newsletter was thus designed, which was prepared and sent out by the call center tutor. Apart from providing help (pull function), the prodela call centre tutor thus also got an active push role as he informed the users of new courses and contents as well as events and articles related to public administrations in modernisation processes. Scientific Insights The learn lab observations and the interviews with the trainers near the end of the project mainly served for validating the real effects of the developed training solution (transfer level), i.e. the application of the contents and the use of the platform in the daily work. In addition, they helped to obtain more scientific insights concerning the general requirements of on-demand training for public servants. 262 Real-Life Knowledge Management: Lessons from the Field Learn Lab Observations The learn lab consists of two rooms, separated through a semi-transparent window, where users can work with e-learning applications in one room, observed through the window and via screen sharing by the test leader in the other room. In the prodela learn lab observations, participants were asked to cope with typical challenges and tasks arising in the work processes of public servants, such as preparing themselves for a new topic or informing themselves about how to implement a certain method in the practical work. Before and after the observations, they were interviewed to find out about the influence of using prodela on their attention, exhaustion, etc. Figure 5: Learn lab test at Fraunhofer IAO The learn lab observations were a first possibility to really watch people work with the prodela platform, some using it already as support in their daily work, some being confronted with it for the first time. The test users in general could be seperated into three categories: • learners that had participated in face-to-face seminars and had used the platform reguarly; • learners that participated in the seminars (where there was also an introduction to the platform), but had not used the platform a lot since then; • learners that had neither participated in seminars, nor made regular use of the platform. During the learn lab observations, they thus worked with the prodela platform for the first time. It quickly turned out then that the users' experience with the system had a big influence on how they used it. Learners that had participated in seminars and had often used the platform worked very structured and fast with the system and used all its features (e.g. consulted forums and used their contacts to other prodela learners working on similar topics). They also used other on-demand support, such as Internet search engines, so that prodela seemed to have been integrated in their daily work, as supplement to their usual tools and contacts. What is interesting is that these learners used the e-learning modules they had formerly used to learn about a subject in a step-by-step way now as an additional work of reference, i.e. not working through them, but browsing them in a fast and very structured way. The regular users handled most of the tasks without any problems. The users that had participated in seminars but had not made a lot of use of the platform used the elearning modules in a very sequential way. Contrary to the experienced learners, these modules also were the main content they focused on, they hardly used any on-demand documents and did not make use of existing contacts to other learners (although they identified contact details of people involved in similar topics). After a first start with the system, where they worked rather slow and unstructured, these learners however also quickly came to use the platform in an efficient and speedy way. The irregular users had some problems in solving their tasks, which mainly resulted 263 prodela: On-Demand Training for Public Administrations from their low level of experience with the platform (they e.g. were not familiar with some features of the forums). For the third category of users, the prodela platform was an entirely new medium; they only got a short introduction to its features through the test leaders. These users kept working in a rather slow and step-by-step way, concentrating on e-learning modules. They used the forum to find information and identified contact details of other learners. When trying to solve their tasks, the unexperienced learners had to cope with various problems. One of them reported that this kind of learning was more exhausting for him than traditional seminars; another one had the feeling that it had taken her too long to find the necessary information. The main conclusions that could be drawn from the observations of the different learner groups are the following: • There is a qualitative development of the learners' use of the platform, from the concentration on e-learning contents to an experienced on-demand usage of various media. • Being familiar with the platform's functionalities and contents is a basic precondition for its usage. It is thus crucial to give new learners a good introduction to it. • The use of contacts to other learners (community aspect) depends on the users' familiarity with the community elements of the platform (forums, contact lists), as well as on how long they have been working with the system. • For new learners, it could be useful to get a step-by-step introduction to the system, so that they e.g. first learn about the basic functionalities of the platform, then participate in a blended learning course, and then get an introduction to the on-demand usage. Interviewing the Trainers The focus of the interviews with the trainers was on their experiences with the courses, as the ondemand concept was a new experience for all of them. The training they usually offered were pure face-to-face seminars or pure e-learning, so the main feed-back of them accordingly concerned the blending of the online and offline phases, i.e. how to successfully interlink the contents and means of the different mediums. The main scientific insights from the trainer interviews were that: • there has to be a holistic concept for the tutoring and a profound introduction to the specific course concept. Trainers usually offering traditional seminars have to be prepared on how to structure their seminars and their online support to ensure a good blending of the different phases. • learners need fixed learning times during the week, especially for learning the basics of a topic. • the training must be supported by the top level of the administration, i.e. the head and the HR responsible. Results and Business Impacts Key Findings The prodela project revealed some important success factors for on-demand training for public servants. These factors can be summarised according to the categories contents, course design, tutoring, technical issues and implementation. 264 Real-Life Knowledge Management: Lessons from the Field Concerning the contents, it is crucial that there is a specific focus on the target group public administration. The training provided by e-learning contents that are designed for private companies and/or feature their examples is hard to transfer to the work processes of public servants. This is one of the reasons why it is crucial to provide a style guide for the authors of the online training concerning the design, the content and the structure. E-learning modules should e.g. be short and illustrative and have cross-references to other modules. For the on-demand contents, it is important to provide templates for the learners as well as the experts as a guideline on how to draft them. As far as the courses are concerned, it turned out to be of major importance that there is a good scheduling of the face-to-face seminars, so that there is an optimal time span in between them for the online phase. In addition, the trainers as well as the learners should be instructed on the ondemand concept. Trainers e.g. have to have some guidelines concerning how to make a good blend of online and offline phases, what to present in the first present seminar, what in the last, and how to support learners in the online phase in between and after. Learners alike have to be informed about how they can make an optimal use of the different phases. Concerning the participants in the courses, a mixture of learners from different communities in the face-to-face seminars should be fostered to strengthen cross-organisational community building. The main problem of the trainers turned out to be the initiation of the online communities of practice. They found it difficult to initiate collaboration and knowledge exchange in the different forums and via sharing practice reports. There should thus be a holistic concept on how to activate the communities of practice, from which tutoring guidelines can be derived. This concept should not only focus on forum activity, but also pay respect to the correlation of the different mediums, i.e. how the interplay between forum moderation, content publication and newsletter announcements can be optimised to get a more active participation of the learners. For the newsletter itself, a specific guideline is also necessary that specifies – on basis of the tutoring concept –its whens, hows and whats. Some of the crucial success factors concerning technical issues were a detailed and regularly updated user handbook and an automated user administration. To support the successful implementation of the on-demand training in an administration, it proved to be important that the there is promotion from the top level. User should have fixed learning times per week. And there should be a training responsible in each administration. Business Impacts The prodela on-demand training presented in this case study provides a useful example of how ondemand support for public servants can be designed and implemented. Moreover, the insights gained in the project can also stimulate future adaptations of the on-demand approach for other target groups and further scientific investigations on the successful blending of e-learning approaches with knowledge management aspects in general. Conclusions As promised in the introduction to this chapter, the prodela case study presented has specified the main characteristics of on-demand training as well as the specific implications for the target group public administrations. On-demand training can be understood as an ad hoc support of learners in the work process, which can be realised by a blend of e-learning, traditional seminars and knowledge management. Aspects of community building and tutoring are especially important in this respect, as peer and expert support are crucial for the fast handling of upcoming questions and problems. 265 prodela: On-Demand Training for Public Administrations For public servants, it is especially important to consider their work reality, often marked by constant contact with the public and/or colleagues, which makes longer, concentrated learning periods difficult. In addition, the exchange with other employees, also from other communities, is an important requirement in the modernization process. When creating on-demand training for public administrations, it is thus indispensable to pay respect to the appropriateness of the contents (e.g. focused to public servants), the course design (e.g. optimal timing of online and offline phases), the tutoring (e.g. optimal blending of online and offline contents) and the technical aspects (e.g. user guide). The success of its implementation then depends on the support of the administration itself by granting fixed learning times. The evaluation concept employed in the project is a guidance on how to ensure a holistic evaluation of on-demand training, beyond pure usability considerations. It points to the importance of noticing how learners make use of the training, what they really learn and how they apply this in their practical work. Together with the concept, possible means of evaluation such as interviews, surveys and observations were presented. As general advantages of the prodela on-demand training in contrast to e-learning approaches it can be stressed that: § prodela provides a better integration of the learning into the work process; § it is a demand-driven approach, as it provides ad hoc contents in the situation they are needed in; § it strengthens community aspects and merges the learner-teacher roles, as everyone can provide input to the training contents (all learners can also be teachers). An important emerging issue for further exploration is fast supply with up-to-date contents. In public administrations, there are many changes in regulations and templates that would need further instructions beyond the mere information on them. It would thus be very useful to develop a concept for the fast transfer of this information into short e-learning modules providing a more holistic information on the expected changes and their implications. Practical Tips and Key Lessons: • Always pay respect to the specifics of the target group when designing ondemand support. • On-demand training should provide ad hoc support in the work process, which not only impacts the design of the contents, but also the support structures (peer/expert support); community building is essential. • It is crucial to provide guidelines for the involved trainers and users, such as style guides and instructions, to make them acquainted with the concept. • A holistic evaluation of the success of an on-demand training initiative should consider various levels, from the design of the concept to its acceptance to the actual learning and its transfer into real-life application. Acknowledgements We especially want to thank our colleagues Dr. Gerd Gidion and Dipl.-Psych. Kathrin Schnalzer, who collaborated with us in the prodela project. In addition, specific acknowledgements go to the other organizations involved in the project, Hyperwave, memoray, Tellur and Wirtschaftsförderung Region Stuttgart (WRS). We also want to thank all public servants, who participated in interviews, surveys and work/learning observations and thus helped us to get the necessary feed-back for optimizing the concept and deriving scientific insights. 266 Real-Life Knowledge Management: Lessons from the Field References Bundesministerium des Inneren (2002) Der öffentliche Dienst in Deutschland, Bundesministerium des Inneren, http://www.staat-modern.de/Anlage/original_548856/Der-oeffentliche-Dienst-inDeutschland.pdf, pg. 6, 25 (date accessed: 18 October 2005). Kommune21 (2005) Modernisierungsstrategien der Kommunen. http://www.kommune21.de/meldung.php?id=5031n (date accessed: 18 October, 2005). Mandl, H., Gruber, H., and Renkl, A. (1997). Situiertes Lernen in multimedialen Lernumgebungen. In: L. J. Issing and P. Klimsa (eds.). Informationen und Lernen mit Multimedia, Beltz, ISBN: 3621274499, pp. 167-177. Schenkel, P. et al. (2000). Qualitätsbeurteilung multimedialer Lern- und Informationssysteme. Evaluationsmethoden auf dem Prüfstand, BW Bildung und Wissen Verlag und Software GmbH, ISBN: 3821470208. Städtetag Nordrhein-Westfalen (2005) Engere Zusammenarbeit zwischen den Kommunen eröffnet große Chancen für effektivere Verwaltung, http://www.staedtetagnrw.de/schlagz/archiv/2003/s_20030604.htm (date accessed: 1 November, 2005). Authors’Biographies Liza Wohlfart studied Economics, English and French at the University of Stuttgart, Germany, where she graduated as an M.A. in 2002. Since her degree, she has been working at the IAT, University of Stuttgart, in several industrial and research projects. She has strong experience in leading and collaborating in national and EC-funded projects in the area of business development, corporate learning and knowledge management. Dipl. Wirt.-Ing. Dorothee Frielingsdorf is a senior researcher and consultant. She has eight years of experience in research and industrial consultancy in national and international projects ranging from the implementation of e-learning and business TV approaches in companies to innovation management and new product development. 267 15 Building KM @ Patni Shashi Kadapa Real-Life Knowledge Management: Lessons from the Field Building KM @Patni Shashi Kadapa, Patni Computer Systems Ltd. (shashi.kadapa@patni.com & shashikadapa@rediffmail.com) Abstract The Knowledge Management Initiative (KMI) at Patni is a show case example of how to build and sustain a focused KM solution to meet the challenge of generating knowledge value for a highly mobile global 10,000+ workforce, serving Fortune 1000 customers. With increased high end work the KMI solution needed to be highly agile and allow Patni workforce to leverage legacy learning’ s. This case study brings into focus the salient issues and features of the Patni KMI solution. It explains in details how business drivers were harnessed to form the knowledge strategy and how community learning’ s is fostered to bring mass movement that aligns itself with the organizations goals. Keywords: knowledge management, CoP, contributions, architecture, KMI brand building Background Patni Computer Systems Ltd. (Patni) is a global IT services provider with revenues of US$ 326.6 million in 2004. The organization was founded in 1976 by its US based CEO, Naren Patni, an MIT and Sloans School of Management alumni. Committed to quality, Patni adds value to its client's businesses through well-established and structured methodologies, tools and techniques. Patni is an ISO 9001: 2000 certified and SEICMMi Level 5 organization, assessed enterprise wide at P-CMM Level 3. In keeping with its focus on continuous process improvements, Patni adopts Six Sigma practices as an integral part of its quality and process frameworks. This high level of interaction generates a large amount of information and data. The Patni KMI helps to turn this information and latent data into Knowledge that can be reused and applied to reduce through put time and shorten the learning curve. Industrial Context Our Customers Patni has about three decades of IT presence serving blue chip organizations that operate in diverse industry segments. The portfolio covers more than 180 clients including leading names like General Electric, Hitachi, NBC, Royal Bank Scotland, Metlife, Southern California Edison, Electrolux, Le Meridian, Schindler, BaaN. Over 10,000 professionals service clients from 24 international offices across the Americas, Europe and Asia-Pacific, and eight offshore development centers. Patni has registered a compounded annual growth of 34% in the last four years and is ranked among the “top 10 best companies to work for in India”. 271 Building KM @ Patni Our Competitors Patni is one of the leading IT services providers and along with others, provides software services to companies across the globe. The market is quite large and companies have to prove themselves on fronts like technology, service and customer satisfaction. When bids are floated by the clients, interested companies apply and the companies that have consistently excelled and those who have proven expertise, bag the order. It is a question of how fast resources can be deployed and how effectively existing knowledge can be reused. All the top service providers have a knowledge center that helps to accelerate deliveries. The worldwide software services are estimated at a few billion dollars and there is ample scope for all to grow. The market witnesses healthy competition and each company operates in its own space. How We are Organized Patni is organized into various Strategic Business Units (SBU) and Centers of Excellence (CoEs). It caters to its clients through its industry-focused practices, including insurance, manufacturing, financial services, telecommunications, and its technology-focused practices like Product Engineering Services and Independent Software Vendors. The service offerings include application development, application maintenance and support, packaged software implementation, infrastructure management services, product engineering services, business process outsourcing and quality assurance services. The CoEs at Patni keep pace with the latest development in the IT world and provide service for practices like business intelligence and data warehousing, IT Governance, Verification & Validation. In addition, Patni has a number of essential functional units like Quality and Delivery Innovation (QDI), Knowledge Management (KM), Six Sigma, Corporate Management Information Systems (CORMIS). These units provide metrics framework, productivity improvement, competency development and roll out of best practices & processes across business units. Problem Patni has thousands of man-years learning’s covering almost the whole IT spectrum. The skills and learning’s were accrued by development and marketing teams from different SBUs, spread across multiple cities in India and regions like US, Europe and Asia Oacific. At Patni, passion to share Knowledge was always there and without a formal initiative there were a number of active isolated repositories maintained by different SBUs. While valuable documents were available in the repositories, they were static and used by a few employees. Hundreds of applications and technologies like Java, .Net, Mainframes and specialized applications like SAP, Embedded Systems and many more are used. While the tools and application used across many projects are the same, the solutions delivered differ in requirements, functionality and intent. Teams that had managed to handle a technical issue had no means to share the learning throughout the organization or could only share it in a closed loop. Other teams from different SBUs, handling similar problems would in all probability spend time trying to solve the same problem. ‘Reinventing the wheel’did happen a few times. The SBUs operate within their expertise areas and interaction and exchange of knowledge was occasional. Besides there is the issue of IPR and copyrights and core information, software components could not be shared. This lead to more estimated efforts and lower productivity. Drafting proposals is another area where knowledge sharing is crucial. Capabilities, expertise and projects completed in a specific area are illustrated through case studies. While responding to RFP, 272 Real-Life Knowledge Management: Lessons from the Field it helps if case studies that illustrate past experience in handling similar requirements are used as supporting documents. Collating case studies and other proposal collaterals was an issue since the required documents resided in isolated pools. Consequently the won rate of proposals needed to be improved. A mechanism was needed to make these barriers permeable and allow knowledge to flow smoothly while respecting the IPR issues. The Knowledge Center has addressed this issue very satisfactorily. Learning Objectives: This case study will provide information on: • Getting people to contribute to KMI • Harnessing various drivers like market, people, technology and others to make KMI a success • Desired features of KMI • Process flow for information • How to involve other employees to create a knowledge army • How to create dynamic knowledge generation mechanisms • How to build a taxonomy • How to build the KMI brand in an organization Approach At Patni, passion to share Knowledge was always there and without a formal initiative there were a number of active isolated repositories maintained by different SBUs. While valuable documents were available in the repositories, they could not be harnessed effectively to address the new market demands. Aggressive growth plans mean substantial investment in improving Sales and Delivery capabilities. Starting from a small base of employees based at its Mumbai development centre, Patni now has development centers in major Indian cities like Chennai, Gandhinagar, Pune, Bangalore, Hyderabad, Navi Mumbai and NOIDA (near Delhi). Earlier there were about a thousand employees and now there are now more than 11, 000. The projects executed encompass a variety of technologies and domains. Software applications developed for the customers are typically an amalgamation of multiple technologies. As a result, projects using similar technologies and tools like .NET, mainframes, Oracle, among others, are found across all SBUs. Additionally, a customer focused ODC would be interested in adding value by replicating processes followed by the customer, whereas an SBU with a vertical focus (say, Insurance Business Unit) would be interested in developing and retaining domain and implementation expertise within its ranks. The SBU structure and customer-specific ODCs have need for having their own Intranets for IPR protection and security reasons. But these intranets tend to become “islands of information”, over a period of time. The key KMI inducted persons in such intranets; upload what can be shared across Patni, thereby bridging these islands of information. 273 Building KM @ Patni People Drivers Patni workforce is the most important asset. There are two kinds of people, those who have put in some years with Patni and new recruits. People who have been working with Patni for some time have a good understanding of their expectations and duties. The need is to keep them updated about the latest developments in their areas of interest, give information related to metrics, QMS, new projects and other business development. Patni had a 37% increase in the head count over the past year and this includes experienced professionals and trainees with no experience. These new members of the Patni family need accelerated learning and adapt to the Patni culture quickly. Fresh software trainees are given through practical training in different software languages through the famous ‘Bootcamp’. Senior level people need information related to customer, business, methods and RoI models. They need to be given qualified information that speaks about how technology is applied in Patni and how customers are serviced. Patni KMI sends an automated welcome mail to all new employees that explains succinctly the KMI role and mission and what they can find in the knowledge center and more important, how they can apply this knowledge in their projects. The mail includes a link that opens the KMI portal invariably people click the link to see what this is all about. Once they are there a user friendly and uncluttered interface allows them to visit different sections and see the knowledge that is available. Some document types like case studies, proposals and others are restricted to people with senior designations. Market and Technology Drivers Patni marketing teams work with clients in US, Europe, Asia Pacific and have a good understanding of the market trends, developments and opportunities. The technology cells analyze these opportunities and a techno-commercial scenario is forecast. Through a diligent learning process, the market drivers are worked on, competencies forged and the drivers are metamorphosed into capabilities that can be offered as services. KMI interacts with the technology cells and a sublime documentation set of learning’s called kits is created and a special space for them is provided in the KMI portal. The kit includes case studies, approach notes, estimation and requirement analysis studies, proof-ofconcept documents, details of other technologies used, configuration and deployment methods, contact details of the key personnel, etc. Future projects that need to operate with these technologies now have a ready base of ‘qualified’information that they can use to shorten their learning curve. This epitomizes the KMI slogan ‘Building Knowledge, Creating Value’. It also endorses the main theme ‘build once, reuse many times’. It takes dedication and grit but the KMI team does it with élan. Kits have been prepared for technologies like Embedded, SAP, RFID, V&V and many more. The reaction time to identify an opportunity, address it through proposals, service it through projects and finally deploy solutions is considerably reduced by these kits. 274 Real-Life Knowledge Management: Lessons from the Field Case Analysis KMI Features This section provides details about the KMI architecture and the KMI features. KMI Features The core features of the KMI solution: • One Stop Source – The main goal is to make the Patni KMI a single stop source for the collective Patni learning’s that run into thousands of person years. KMI is used by individuals to train themselves, by projects to shorten the delivery time and by the BU think tank to frame the three year growth plan • Knowledge for individuals - To make learned decisions by offering them an optimum knowledge base. It may be as complex as using a .jar or a .ini file for coding to something as simple as giving a good orientation to employees who are going on onsite assignments • Pincer Knowledge Generation Mechanism - To keep knowledge fresh, it needs to be captured, applied, organized and most important disbursed to the right people at the right time. The KM team has come up with different mechanisms to capture current knowledge and disburse it effectively. Mechanisms like case studies, project summary and completion reports, relationships with different clients and others, capture distilled project knowledge in all phases of the project. The discussion forum provides invaluable tips and tricks that glean and store in KMI. • Blending with the organization’s culture – Patni’s highly mobile work force keeps moving from projects and locations, taking their latent learning’s with them. Effective mechanisms are in place that encourage and reward team members to document their learning’s and share them on the KMI portal. Mechanisms like knowledge sharing sessions in which team members who have developed competencies on different topics, give informal presentations through the Community of Practice (CoP) in which like minded people with interests in specific technologies come together and discuss current issues, relevant to Patni • Focussed marketing - KMI offers a ready bouquet of qualified case studies, project summary reports, learning’s in different technologies, proposals and many more, arranged with keywords and as per the KMI taxonomy. When developers need tips to overcome a technical problem, they use the KMI search engine. When proposal owners need to submit a proposal, they can browse through the past proposals, pick up the supporting documents and quickly submit the proposal. Focussed marketing ensures that each employee knows about the latest contributions • IPR - A very crucial aspect is protecting the customers’IP rights. As a matter of policy, Patni does not disclose or share even internally IP artefacts like source code, reusable components, confidential or proprietary data that the client has given, among different SBUs. This does hinder the process of knowledge sharing but protecting clients’IP is very important. • Cutting Edge Paradigms –CoP –KMI has initiated a number of communities of practices like Java, .Net and Mainframes where people who use these technologies and applications meet and share best practices. Patni stalwarts give presentations on various aspects of a technology. People at other locations join in through web casts. 275 Building KM @ Patni Figure 1. KMI Features A central core KM team mentored by the Patni senior thought leaders nurture the KMI solution. KMI performance and strategy for growth is continuously analyzed, measured, and improved. The KMI solution is not just the KMI portal and the core team but blends the mindset of the entire Patni delivery engine. It includes all the processes and work drivers, HR and administration departments, sales and marketing teams, front office personnel and the top officers of Patni. The KMI offering The KMI solution at Patni is: • Embraced and endorsed by all SBUs who consider it as another arm • Scalable to quickly absorb new technologies, as they came up in the IT market • Mirrored throughout all worldwide Patni locations through remote cache servers • Blends with the company culture and moral fabric without inciting feelings of resentment • Driven by a robust search engine with refined and advanced search features that uses keywords to search in the metadata and content • Encourages knowledge generation, capture and reuse as a part of the KM process fabric 276 Real-Life Knowledge Management: Lessons from the Field Figure 2. KMI Offering Building the KMI Solution Getting the Right Fit To frame the requirements for the Patni KMI solution, the following issues were addressed in depth: • Participants – There was an intense internal debate and polling on whether to make the KMI portal accessible to all employees or only a selected few leaders from each SBU. After weighing the options, it was decided to make the KMI a mass movement and involve all personnel. As a matter of prudence, sensitive documents like business proposals, relationship documents with clients and others were restricted to employees of a certain grade. Technology related documents like coding tips, sample code snippets, installation guidelines, etc. were available to all employees. Considering the industry turnover rates of young software engineers, this was thought of as a prudent move • Central versus decentralized model. The past experience with a decentralized model was not pleasant. So Patni adopted the central model. The KMI solution is a designated Patni internal project and is administered by a central core team of developers and content management experts. • Knowledge artefacts. Content is the essence of the KMI portal. People visit KMI to gain knowledge by reading documents. The repository has documents like case studies, project summary reports, DD/FS documents, approach notes, informal presentations that are generated in the knowledge sharing sessions, fact files, proof of concept documents, etc. Suitable document templates were created to ensure a minimum common structure for the documents. Documents have a validity date and authors are sent an automated mail that asks them to send updated versions. Old documents are deleted and purged from the repository 277 Building KM @ Patni KMI Rollout Plan For executing external KMI projects, Patni uses a structured roll out plan for the hardware and content related issues. A time and milestone tagged approach is used. These are illustrated in the following image. Figure 3 KMI Rollout Plan KMI Taxonomy Taxonomy is the basis on which content is organized. SBU stalwarts, technology and functional experts, project engineers and leaders, SBU heads and other roles were polled through structured questionnaires and face-to-face meets and firm requirements of the portal were framed. This intense exercise crystallized into the KMI Taxonomy on which the KMI solution is built. The taxonomy is not static but live, dynamic and scalable and allows more nodes to be added as and when they come up. It is true to life and represents the organizations activities and business processes. In effect it brings to life the over three decades of Patni activities into one chart and with a few clicks, users can delve into legacy technologies and shift to the latest in .Net or embedded applications. It allows users to reach back into history and move forward into the future. Care is taken to ensure that each node of taxonomy has relevant documents. KMI submissions from different SBUs are scanned and if new technologies have been used, then the source is tracked down, qualified documents are obtained, gaps filled and published in the KMI portal. This allows KMI to keep up with the latest developments. 278 Real-Life Knowledge Management: Lessons from the Field Process Flow KMI uses a structured information flow process where documents are qualified by taking it through a review process. The documents are verified for technical accuracy, relevance, authenticity and copyright issues. The process is illustrated as below: Figure 4 KMI Process Flow The Knowledge Army KMI at Patni is a cooperative movement. It is enabled by people who remain the key drivers. Without an unprecedented mass movement, the initiative would be hollow. While the core KM technical team focuses on the technology front to ensure smooth flow of information across different internal and external networks, the content management team, lead by a spirited project manager and a visionary KMI manager, forays into the realms of different technologies. Individuals are strongly encouraged to contribute the learning’s and insights they have gained to the KMI. The core KMI team is assisted by more than 50 voluntary experts who spend extra time and efforts in assimilating and collecting knowledge artifacts and furthering the KMI cause. They are location, SBU and technology specific. They are also called the Knowledge Champions and help the core team to reach out to far-flung project teams and also find suitable subject experts. 279 Building KM @ Patni Figure 5. KMI Assets A growing band of over 300 subject experts helps the KMI in evaluating and giving suggestions to improve quality of the contributions. Subject experts are people who have gained sufficient expertise in different areas like software languages, software tools, design, methodologies, etc. After they evaluate a submission, they assign K points that contributors can accrue over the quarter or a year. Prolific authors are awarded a quarterly “Knowledge Star”award. Subject experts and knowledge champions who have performed excellently are also recognized and awarded. Contests are organized for white papers, tutorials, use cases, code snippets, creating reusable components and so on. An expert panel of reviewers selects the best documents and the winners are given awards. Knowledge Generation Mechanisms Information is power but a static information is just figures and facts. But information needs to be converted to knowledge that can be applied. KM team seeks knowledge actively and does not wait for it to come. Experts in different domains are actively sought, persistently encouraged to write and the KM content team members sit with them, record their thoughts and knowledge and transcribe them into documents. A number of innovative mechanisms are used and some of them are illustrated in the following figure and explained in the following sections 280 Real-Life Knowledge Management: Lessons from the Field Figure 6. Knowledge Generation Mechanisms Formal mechanisms As a part of the project completion process and the audit systems, projects and SBUs create case studies, project summary reports, customer relationship documents, proof of concept and other documents. These are sent to the KMI and published as per their taxonomy and keywords. Access restrictions are also assigned so that certain documents can be seen by people with specific designations and roles. We Listen and Learn Voice of the Customer (VoC) is a valuable feedback mechanism and is the pulse of the organization. Both eulogizing bouquets and brutal brickbats are given. VoC has told the KMI what is lacking, what should be done to improve, information gaps and the new technologies Patni is using. All suggestions, criticisms, complements are debated and applied when feasible. VoC is collected meetings with project teams and also through the feedback form, provided in the KMI portal. Rather than feel righteously hurt and wait for a chance to get back, the KMI team reacts proactively and immediately hastens to take corrective actions. Many improvements in the way the KMI database tables are structured, faster display of pages, secure modes, encryption sequences are organized, page layouts and many others were suggested by irate users who faced problems. Discussion Forum The KMI Discussion Forum is one of the best examples of community learning and cooperation. It provides an informal platform for people who use specific technologies to pool their learning’s and knowledge and help each other to resolve technical showstoppers. There are more than 260 forums on subjects like Java, .NET, COBOL, AS 400, C#, SAP, RFID and many more. Users register to the forums of their interest and post queries and others post solutions. The turn around time is in minutes and the community sharing spirit and drive is immeasurable. We have more than 3000 registered users and the number of threads has crossed 7000. 281 Building KM @ Patni There are many examples when problems faced by a developer in US were solved by another developer working in Mumbai, India. Innumerable practical solutions are given. The person who raised the query rates the answers. Top contributors who have given the maximum points are given the quarterly K Star award. Main points from the threads are extracted along with the query and a put in a document. This document serves as a FAQ and the knowledge carried there is practical and invaluable. Inviting External Faculty Professionals like doctors, photographers, scientists, lawyers, etc. are invited to address multiple locations through web casts called Mindshare. The professionals speak on topics like managing stress, avoiding heart attacks, improving photographic skills, etc. These web casts have a considerable attendance and ensures the all round development of the employees. Regular technical knowledge sharing sessions like K-Unlimited, are conducted and the gist is captured and stored in the KMI portal. In such sessions, experts in different technologies share their tacit knowledge with other employees. Creating Knowledge Nuggets Every week, a presentation of general interest on self improvement, sent by KMI users is featured as a Knowledge Nugget in the KMI home page. The contributor’s name and SBU is given along with a link for other users to view the document. This initiative is highly appreciated by the employees as they get instant global recognition and there is long-waiting list of potential contributors. Express Learning is a weekly capsule that is mailed to all employees. The capsule gives information on a variety of topics like management, data warehousing, self-improvement, etc. These capsules are featured on KMI. Building Learning Communities The KMI initiates communities of practice (CoP) where people of like interests join to share their knowledge, exchange tips and where subject experts are invited to talk about an aspect of technology. People from other locations join in through the web casts. The learning’s are documented and published in the KMI portal. Annual meets for the CoP members have been organized and this is a two day gala affair. Guest speakers from other companies and Patni employees give presentations on selected topics. The attendance is very impressive and the main goal of knowledge generation and exchange is achieved. Extending Brand Building to other SBUs The Patni KMI has a considerable fan following among the Patni ranks. Other practices use the KMI portal to announce new initiatives and to gain wide public recognition. The KMI portal is integrated with the Patni Intranet and also provides links to dedicated and specialized SBU servers on a restricted access basis. Evoking Contributions from Employees A common challenge for implementing the KMI solution is non-willingness to share information. Any KMI solution needs individuals who contribute voluntarily and with a passion for sharing. Hoarding information or maintaining silence does not lead anywhere. So how does the KMI solution get people to share knowledge. This is addressed with the excellent HR policies, the wholehearted support of the top management and recognition of the top contributions. Issues related to 282 Real-Life Knowledge Management: Lessons from the Field employee growth, their hopes, aims in life, desire to excel, rewards and recognition, etc. have been suitably addressed. Recognition is one of the best forms of encouraging knowledge flow. Prolific authors of good documents win the quarterly K Star award and the annual K Super Star award. When young software engineers get to see their names in the KMI hall of fame, the warm glow of contentment is immeasurable and the KMI has a passionate convert to its legion, who would continue enriching the knowledge base in the years to come. The SBU heads and other senior managers present the awards in an SBU meet or on special occasions with large gatherings. Senior members of SBU’s access the Dashboard that gives a snapshot of KMI usage by their teams. This nurtures a healthy competition amongst SBUs. Building the KMI Brand Building the KMI brand was indeed a very challenging task. It took a lot of creative ideas and intense advertisement campaigns and today, the KMI solution is the best known brand in Patni and people from different Patni locations in various cities in India and across the continent instantly recognize it. This section illustrates the efforts we took to create the KMI brand. All the advertisements given in this case study have been created and run by the author: Challenges The following tasks illustrate how difficult the challenge was: • Patni onsite teams operate on a 24x7 basis across the world. Our development teams are spread across multiple SBUs in different Indian cities • The project pressure is very intense and people do not have the time to indulge in other activities • Contributions have to be voluntary. So the Ad campaigns have to be eye catching enough to move the people to work extra and contribute • The bandwidth available for mailers has restriction due to server space. So, the Ads had to be small, move people and keep them asking for more. Patni KMI works under a tight budget and splurging on expensive gifts is frowned up on. Advertisement Campaigns To build the KMI brand, we launch periodic contests for web designs, punch line competitions, as shown in Table 1. 283 Building KM @ Patni Table 1. KMI Advertisements Quarterly K Star Award Winners A Flash movie with good animations is mailed to all employees giving the winners bio and picture giving winners a lot of publicity. Flash Movies Sequence created for Six Sigma week at KMI We celebrate the KMI birthday in a big way. A series of Flash movies, posters, Quiz and other events are run in all Patni Centers We used Obelix to launch a KMI module. This is one of the Flash movies in a series Results and Business Impacts Results The Patni KMI solution has over 17,000 knowledge assets that translate to a ratio of 1.7 documents per employee. It has received over 1.3 million hits since the initiative started about two and half years ago. The KPI index and contributions per employee shows an increasing trend. Systems are in place that track how knowledge and artifacts are used and the extent to which efforts and time to deliver projects have been reduced. KMI has initiated a high level of cross resource sharing and cooperation between the SBUs, both through informal and formal means. The KMI solution has consistently received a rating of 4.4 (out of 5) in the internal customer satisfaction survey. This means that the customers are fully satisfied and that KMI has exceeded expectations. The Patni KMI solution was awarded the Best KMI Solutions Award at the Livelink Up conference, 2003, in Paris. The judges comment read, “Knowledge Management marketed to the users and not force fed or left to the committed few". Given below is the picture of the award. 284 Real-Life Knowledge Management: Lessons from the Field Figure 7. Inukshuk figurine made of stone that was awarded Business Impacts There have been many-sided impacts since KMI was implemented: • Technical showstoppers have reduced and lesser time is needed to solve such issues. • Proposal creation and submission that used to take days has now been shortened to a few hours • Knowledge transition is much smoother and employees don’t spend hours trying to find out information. It is on KMI is the common refrain. • Number of efforts and rework has reduced. This is reflected in the quarterly SBU metrics study analysis • SBU knowledge barriers have been done away with. Conclusions While KMI in Patni has become very popular, it still needs to have increased document hits and contributions that speak of technology as applied in the projects. Issues of acceptance and making employees contribute have been successfully tackled. 285 Building KM @ Patni It is essential to make the KMI an integral part of the organization. Core technical data and implementation details should be documented in a systematic way by the end users. Quality and document usability are critical. Practical Tips and Key Lessons: • Individuals need to be motivated enough to spend extra time to contribute learning’ s and their tacit/implicit knowledge • Given a conducive environment, people take pride in sharing their learning’ s • The KMI solution should not attempt to change the organizations fabric but blend with the it • Fresh recruits are most susceptible to a warm welcome • Feedbacks and suggestions from users are most important. Act on the suggestions and more important implement nag give due credit where needed • Involvement of seniors is very important • Usability engineering plays a very important role in customer satisfaction. People should be able to find what they want quickly and easily Acknowledgements The author wishes to express his thanks to Pradeep Waychal, Vice President, Quality and Delivery Innovation at Patni who mentored this work and also Rajiv Deo, Manager, KMI and Harshita Goyal, Project Manager, KMI for their help. Author Biography Shashi Kadapa nurtures the Patni KMI and helps to drive and sustain it throughout the organization. He also looks after the brand building activity and has created many Ad campaigns to make the initiative popular. He has as a Bachelor of Engineering degree in Manufacturing and an MBA in Marketing. He has worked in the IT industry for about 7 years and has also worked in manufacturing dept at Cummins India. Shashi has also worked as a Sales Manager with companies like Balzers AG, Carborundum Universal and Ashok Iron Works. A person of many talents, he has a flair for creative writing and has also worked as a journalist with many reputed Indian print and on line companies. He lives with his wife and two daughters in Pune, India. 286 16 Identifying Key Skills and Competencies Across the Enterprise Gary Cairns Real-Life Knowledge Management: Lessons from the Field Identifying Key Skills and Competencies Across the Enterprise Gary Cairns, AMEC NNC Limited (gary.cairns@amecnnc.com) Abstract In the UK nuclear industry, and many other sectors where safety is a major issue, it is very important to provide evidence to the regulator that staff are suitably qualified and experienced for the work they carry out. Also, the international standard, ISO 9001:2000 requires that staff skills and competencies are determined, evaluated and effective training provided. Many organisations have a poor understanding of the skills, experience, and qualifications etc. that are available in their staff. Some organisations use a database of CV’ s or provide staff profiles via their intranets. This paper describes how a bespoke enterprise solution is provided to assist in identification and communication of skills & competencies using a structured database approach based on web technologies. Following a two-year study and implementation programme, a competency based taxonomy for identifying qualifications, skills and experience has been successfully created and implemented across the enterprise with details of over 1000 staff captured. The solution known as “QuEST” (Qualifications and Experience System Tool) is regarded as one of the organisation’ s key knowledge management tools allowing particular expertise to be quickly located. Keywords: Skills, qualifications, experience, competency, taxonomy, knowledge capture, knowledge sharing, enterprise solution, identifying knowledge, SQEP, QuEST Background Industrial Context AMEC NNC and other companies that make up the British nuclear industry have been engaged in the design, build and commissioning of civil nuclear power stations for over 40 years. The UK nuclear industry provides about 22% of the UK’s electricity needs, employs directly and indirectly about 55,000 highly qualified people, and earns the UK about £500 million per year from overseas business. The UK has 23 operating commercial nuclear power reactors, of three different designs. The comprise: 8 Magnox (gas-cooled reactors), 14 AGRs (Advanced Gas-cooled Reactors) and one PWR (Pressurised Water Reactor). Britain’s oldest reactor, and the world’s first commercial nuclear power station, Calder Hall, a Magnox-type station, has only recently closed, having exceeded 40 years of life. Britain’s newest station, and only PWR, Sizewell B, started commercial operation in 1996. At the present time the UK focus is on safely operating the newer stations and 289 Identifying Key Skills & Competencies Across the Enterprise decommissioning the older stations but given climate and other issues relating to the use of oil, gas and coal there is a possibility that a new build programme may be initiated. AMEC NNC operates in the nuclear and defence sectors where compliance with public and personal safety issues is regarded as a key ingredient to all activities undertaken from concept design through to construction, operation and eventual de-commissioning of nuclear facilities. In the UK nuclear sector the independent government regulator is the Nuclear Installations Inspectorate (NII) and as part of the licensing conditions for nuclear sites, it is a requirement to demonstrate that key operating and supporting staff are “SQEP” (Suitably Qualified and Experienced People). The SQEP requirement has a similar impact on the supply chain supporting nuclear operations at site and suppliers are also required to demonstrate that its staff are suitably qualified and experienced. This fundamental requirement from the NII is one of the main drivers to establish a formal system as described in this paper. Another more general requirement is for those organisations who are seeking accreditation to the international standard ISO 9001:2000 (ref 1). Section 6.2 of ref 1 outlines the requirements for education, training, skills and experience, which require organisational commitment. The AMEC NNC Qualifications and Experience System Tool (QuEST) was developed specifically to address both areas. Problem This case study describes AMEC-NNC’s approach in finding a system and process for capturing, assessing and interrogating qualifications, skills and experience of its entire staff across the enterprise. Such a system should be capable of satisfying the compliance requirements as outlined above for SQEP staff and also ISO 9001:2000 requirements. Additionally, the system should be a key knowledge repository for identifying skills and competencies for general use in the business, in particular as a tool for managers to identify suitable candidates for projects when they arise. The specific business problems that the case study addresses are listed below: 1. To identify and capture qualifications, skills and experience for all staff in all locations worldwide to demonstrate staff are competent in support of activities in the nuclear sector. 2. To provide evidence that staff are competent and experienced in the skill areas claimed. 3. To share information about staff skills and competencies for use throughout the organisation in all locations. 4. To integrate skills information with other related issues such as training and development, CV’s, academic and professional qualifications. 5. To provide a process and a system that is easy to use by all staff requiring minimal training. AMEC NNC’s initial strategy was to locate a system “off the shelf”that would do the above but market research showed that there was no such system available that would meet all the necessary requirements. A development programme was thus established with a team leader and a small number of support staff to design and implement a process and system from first principles. 290 Real-Life Knowledge Management: Lessons from the Field Learning Objectives: The reader of this case study can expect to learn: • How to create an enterprise system to identify staff with particular qualifications, skills & experience. • How to create a taxonomy of skills and competencies and build a database for enterprise sharing of this information. • How to demonstrate and record, via assessment, that these competencies are genuine • How to apply change management principles to gain “ buy-in”from all staff involved in the implementation and roll out. Approach The need and business issues relating to the implementation of an enterprise wide qualifications, skills and experience system tool are described in the previous sections. AMEC NNC’s approach to the implementation of such a system began in January 2001 when the Company’s technical director was nominated as sponsor for the project. A project team was established with a structure outlined below in figure 1. Project Sponsor Phase Review Team Business Rep 1 Business Rep 2 Business Rep 3 Business Rep 4 Project Manager IT Development Team Database Developer Web Developer Process Development Team Business process analyst QA support engineer Figure 1: Project Team Structure The roles of the team members were as follows: • Project Sponsor – To liase with members of the Executive to ensure adequate funding, benefit realisation and to co-ordinate communication activities throughout the organisation. • Project Manager –To plan, control resource and ensure that the project was run to budget, quality and time constraints. Also to liase with business leaders to ensure that their needs were being adequately addressed. • Process Development team – To develop the concept and provide the necessary process amendments to existing procedures. Also when implemented, to audit and gather feedback on the implementation. 291 Identifying Key Skills & Competencies Across the Enterprise • IT Development team – To develop the database and web front end of the technical solution. • Phase Review Team – To provide an independent assessment of benefits and progress to ensure correct alignment with the needs of the organisation. Apart from the Project Manager, the project team were not engaged on the project full time. To obtain early buy-in and ensure that the work would reap business benefit, members of the main business units were involved in reviewing the project on a periodic basis (Phase Review Team). One of the first activities undertaken in July 2001 was to produce a Technical Specification describing the aims of the system and general requirements of what scope it would cover and what it needed to achieve for the business. The Technical Specification is aimed at vendors as it was assumed at this time that an off-the-shelf system would be procured and configured in-house. The Technical Specification, therefore, contained not only typical database requirements but also details of user interface, training, reports, data management, response times, system security, system integrity, administration features etc. By September 2001, it was clear that there was no readymade solution for qualifications, skills and experience management and that a development programme was needed. Case Analysis The implementation of AMEC NNC’s Qualifications and Experience System Tool (QuEST) is a development and implementation project rather than a research project. The content and layout of this section therefore reflects this type of project. QuEST Concept Derivation As with most development projects of this nature, the main driver for change came from senior business managers who were struggling to meet customer requirements to demonstrate staff competency. Initial meetings with managers suggested that a database approach was needed as typical CV information in the organisation didn’t address the concept of demonstrating competency. Anecdotal information suggested that competency was best measured via a mix of educational and practical application experience gained on the job. Evidence for qualifications was relatively straightforward to collect. Experience, however, needed a different approach requiring evidence from personal knowledge of performance, customer feedback, written reports etc. The concept of building a taxonomy to codify these aspects fell out naturally from discussions within the team and due to a lack of available information elsewhere, this idea was developed over several months from first principles. Project Programme An outline project programme for the implementation of QuEST is given below in table 1 with major milestones indicated: 292 Real-Life Knowledge Management: Lessons from the Field Table 1: Project Milestones Date January 2001 July 2001 September 2001 November 2001 December 2001 May 2002 June 2002 November 2002 December 2002 Milestone Project agreed and sponsor and project manager assigned Technical Specification available Commercial products evaluated Taxonomy Defined Database development commenced Database & user interface complete User training complete Data load from users complete Data attributes validated The full duration of the project from inception through to roll-out and data validation of user information (1000 staff) was two years. Taxonomy Development Table 2 below defines the main areas where a taxonomy was needed to support the QuEST database construction. Table 2: Taxonomy Scope Area Technical discipline Skill Experience Level of competence Academic qualification Professional Qualification (Chartered status) Client awarded qualification Understanding of regulatory requirements Definition The main technical disciples for staff (e.g. mechanical, electrical, safety, IT, QA etc.) Particular areas and sub areas of expertise within the technical discipline Industrial sectors (e.g. nuclear, defence, aerospace, automotive etc.) and for nuclear the types of reactor system and locations worked. 6 levels of competence for each skill from international expert to basic knowledge University and School qualifications for UK awarding bodies Levels of award (e.g. CEng, fellow, member, associate member etc. for all recognised professional institutions. Client specific awards and accreditations. Licensing regulations and standards experience Fortunately much of this information was already available within the organisation but a considerable amount of effort was required to develop the relationships between discipline, skill and experience. (The full taxonomy comprises 30 pages of tables and thus cannot be fully reproduced in this document. However, the full listing can be made available on request by contacting the author.) 293 Identifying Key Skills & Competencies Across the Enterprise Web User Profiles & Interface All inputs, reports, administrative actions etc. required for interfacing with QuEST is carried out using a standard web browser. Access to the system is available to all users via the company intranet. In total there are 9 user interface areas or profiles, each with the following functionality: 1. Administrator – Used to set up user permissions, upload/download data into other applications, system messages, general database admin etc. 2. Statistics – Used by managers to review incomplete user profiles, status of assessments, number of logins etc. to help measure full roll out across the enterprise. 3. Attribute Maintenance – Used by the systems manager to set up taxonomies and data attributes in these taxonomies. 4. Engineering/Technical Manager –Used by senior management to set up and allocate staff to job roles. 5. Manager – Used by line managers to search entire database for any attribute, including training & development data. 6. Training & Development Plans – Used to collate training and development plans across the enterprise and for approval of specific training objectives. 7. Technical Supervisor – Used by line managers and senior staff to oversee the assessment process 8. Assessments –Used by line managers and senior staff to provide an overview of the status of the assessment process 9. Member –Main end-user interface with the system. A typical end user will have restricted access to only his/her skills & competency details, training & development plans and CV’s. A screen shot showing the layout of these is given below in Figure (2) with the “experience”attributes expanded. 294 Real-Life Knowledge Management: Lessons from the Field Figure 2: QuEST database –Members Area Database Structure The QuEST database is a SQL Server 2000 database that is designed to hold details of its member’s competences and provide an assessment process that verifies the information entered is accurate. All business rules are encapsulated in SQL stored procedures. Client applications access the stored procedures through a thin VB COM layer. The following diagram illustrates the N-Tier architecture used: IIS VB COM SQL Figure 3: QuEST N-Tier Architecture Database tables are structured to allow the uploading of personnel data from other in-house systems. A database attribute structure is designed as shown in figure 4, which allows drill down functionality against each main attribute type. 295 Identifying Key Skills & Competencies Across the Enterprise Register Attribute Type Academic Qualification Membership of Professional Body Skill Experience Client Qualification Certification Regulatory Requirements Measure Members assigned at Attribute 1st level Attribute 1st level Attribute 1st level Figure 4: Database Attribute Structure Competency Assessment Workflow Within AMEC NNC, a process was developed and agreed to ensure validity of the following data provided by staff: • Academic qualifications (evidence from certificates obtained from awarding bodies) • Professional Qualifications (evidence from certificates obtained from awarding bodies) • Skills (evidence of significance competence from technical papers, personal knowledge, verbal questioning, witness testimony) • Experience (evidence of significance competence from technical papers, personal knowledge, verbal questioning, witness testimony) 296 Real-Life Knowledge Management: Lessons from the Field In QuEST colour coding is used to distinguish between information that has been accepted (green), not assessed (blue) or rejected (red). To ensure that competency attributes can be assessed and validated by the relevant person, the QuEST system has a built-in workflow to allow managers to delegate assessment where these are needed. For example a line manager may delegate the assessment of technical skills to a technical expert who may be better qualified to make the judgment. A permanent record is kept on the system of the individuals who made the assessment and the assessment criteria used. Implementation Strategy and Roll Out To trial the system before full roll out, a small business team was chosen to take part in a pilot project. This demonstrated the feasibility of the concept and provided valuable information on expected timescales for full implementation across the whole organisation. For complete Company roll out it was decided to run the project as a change management initiative and adopt best practices such as: • Effective sponsorship and communication (to ensure that top-level commitment was obtained and that all stakeholders were aware of developments. Communication was targeted at several organisation levels with details available in corporate communication briefs and newsletters.) • Education and training (Educating users of why these changes were needed together with the basic simple training needed to interface with the system.) • Adoption of project management and planning techniques (All aspects of this initiative were carefully planned with resourced project plans and full supporting documentation) • Risk management (Risk management techniques were deployed which identified the major project risks together with planned mitigating actions) • Stakeholder buy-in analysis (An analysis was undertaken to look at particular stakeholders and identify those who needed to be targeted to ensure buy-in. This was part of the above risk analysis) • Process integration (To ensure that the new processes emerging from this initiative were successfully integrated into the Company’s existing processes and procedures. This involved updating engineering and HR processes found in the Company’s Quality Procedures and providing additional guidance documentation describing the new process.) • Technical support (Assistance with entering and viewing information via the web interface and the database) • Budget provisions for time and cost allocation (To ensure that costs were correctly monitored and controlled) Technical skill areas across the business were targeted first and, after this had been completed, the system was then implemented for all support staff. In total approximately 1200 staff in various locations in the UK, Canada, South Africa and Eastern Europe were added to the system and input data validated. 297 Identifying Key Skills & Competencies Across the Enterprise Results and Business Impacts Key Findings Implementation of the QuEST system was generally regarded as a success story but like with the introduction of any new system or processes there were a few teething troubles along the way. In general, the system implementation and software was completed without too many problems. The main issues centred on user acceptance as described below: • Time to input data. Typically 1-2 hours is needed per person to input all the relevant data relating to qualifications and experience. Although not considered excessive, there have been numerous occasions where individuals have claimed that they hadn’t enough time to do this. Strong line management is needed to overcome such objections for success. • Non-standard data. The decision was made early in the project to pre-populate the database with various attributes (e.g. skill types, experience areas, types of qualification etc.) and to make these accessible to users via drop-down menus. Although relevant to most users, occasionally there was found to be an ongoing needed to add non-standard data to allow users to complete their profile. In the early stages of the project this proved to be a bottleneck but with time proved to be less of a problem. • Database search facility. The database search facility, used by predominately by managers, allows advanced search capability across numerous areas simultaneously. However, it was later discovered that managers also wanted very simple search criteria such as locating all engineers in the organisation with a mechanical engineering background. Modifications had to be made to the search facility to allow this. • Taxonomy describing experience. Following extensive use of the system it was decided to abandon the taxonomy describing experience. Due to the large diversity of experience within the organisation it was decided to allow users to input their experience in more of a free format nature but based on an internal guidance note for consistency. Metrics on user input and validation were built into the administration modules of the system to show the uptake of new users, new data entry and validation statistics. From these measurements, we now know that over 95% of staff details have been correctly input into the system and are being used by others (mainly line management) for knowledge sharing purposes. Early in the project it was feared by some staff that the competence data could be misused by some and used for poor remuneration awards, targeting redundancies etc. There were also fears regarding the Data Protection Act. In the last 12 months however, cultural issues like this have begun to wane and the next update of the system will allow the search facility to be used by all staff –not just line managers. From other feedback comments and staff surveys, it has been decided to increase the functionality of QuEST to allow: • Integration with training and development systems • Tracking of training and development objectives at Department and individual level • CV information to be input and linked to skills • Easier searching These improvement are planned to take place in the last quarter of 2005 and early 2006. 298 Real-Life Knowledge Management: Lessons from the Field Business Impacts The main business impact of this work was the launch of a new process and system that for the first time captured all the qualifications, skills and experience within an organisation. Internally, it meant that line managers and those responsible for resourcing projects could readily identify relevant skills and with confidence allocate the right person to the right job. For the individual, it meant that skill strengths and weaknesses were evident that allowed a structured approach to career planning, training and development in line with the organisation’s HR policies and processes. Externally, the main business impact was the ability to maintain business operations in the nuclear sector. Without QuEST, or an equivalent system, it would have been impossible to satisfy the regulatory needs of our customers and consequently a substantial amount of business would have been lost (difficult to quantify exactly, but this could have been as high as €50m/year) resulting in a near business collapse. Following the implementation of QuEST, our major clients had increased confidence in our technical abilities and this has helped business growth, however, it is very difficult to isolate the benefits against many other factors. A further spin-off from the QuEST development work is the interest shown from clients and other organisations in purchasing the system for their own use. AMEC NNC are currently now actively involved in marketing and promoting QuEST as a product. Conclusions The introduction of a qualifications and experience database into an organisation is a key first step in identifying “knowledge” that exists in the workforce and the level of competence that is associated with the application of that knowledge. In most organisations, systems exist that identify staff skills using techniques such as expert yellow pages, staff profiles or CV’s on-line but with these systems there is no evidence of an individual’s level of competence. AMEC NNC’s QuEST system combines the functionality of traditional approaches and provides evidence of competency. This approach has been successful in that our clients have full confidence in the abilities of our staff and independent assessors have confirmed our compliance with the international standard ISO 9001:2000. In implementing a process and a system around a staff competency framework, AMEC NNC has met stringent requirements set by the nuclear regulator and currently leads the nuclear sector in developments in this area. By measuring system deployment, user interaction and listening to feedback from all stakeholders AMEC NNC is confident that QuEST is here to stay and has already begun implementing plans for its future development. 299 Identifying Key Skills & Competencies Across the Enterprise Practical Tips and Key Lessons: • Identifying and capturing qualifications, skills and experience of staff is an important first step in any knowledge management strategy. • Validating the competency of staff and making this visible is a valuable enabler to the business. • The success of running projects in the knowledge management arena is invariably dependent on the people and the processes involved rather than the technology. • Run all major knowledge management initiatives along side change management best practice. • Taxonomies describing skills and competencies are important concepts in knowledge management. • Always seek feedback from all stakeholders on new system deployments. • For this type of project, success is measured better by perception rather than financial ROI. Acknowledgements Many thanks to Graham Kelly of AMEC NNC, who provided the technical development focus for the QuEST system. References International Standard EN ISO 9001: 2000 –Quality Management Systems Requirements Author Biography Gary Cairns is employed as Head of Management Consultancy within AMEC -NNC Limited specialising in knowledge management and change management activities. In his current role, Gary provides management consultancy support to the nuclear, defence and allied industries. Previously, Gary was Head of IT within AMEC-NNC and Head of Management Systems and has been involved with knowledge management concepts and implementation aspects for over 10 years. 300 17 Open Source CMS for a Sports Centre Arthur Visser Real-Life Knowledge Management: Lessons from the Field Open Source Content Management System for a Sports Centre Arthur Visser, I.C.E. Europe (arthur.visser@skynet.be) Abstract Implementation of a Content Management System (CMS) is no longer the exclusive domain of large companies. Using a CMS may bring considerable benefits to any organization using an interactive dynamic website as an additional communication channel to add value to the services provided to their customers. Like many other Small and Medium sized Enterprises(SME), sport centres often have no or limited access to the technical resources required to study and analyze the potential benefits of a CMS to their organization. Outsourcing this job is often considered (too) costly and license fees for proprietary systems may be barriers to even consider using a CMS. In this case study we have analyzed the business processes in a typical sports centre in The Netherlands. Based on this analysis, conclusions are drawn about the usefulness of a CMS for the sports centre, the potential benefits, feasibility and cost. As one of the criteria was to find a 'low cost solution', the focus has been on Open Source CMS solutions. . We build a prototype website in OpenCms 5.0 to evaluate our findings. Keywords: Open Source, Sports Centre, OpenCms 5.0, Evaluation Criteria CMS, Benefits CMS for SME, Cost of Ownership Background Industrial Context Content Management Systems have been around for many years and the rapid growth of the Internet in all levels of society has made 'content management' an important element for commercial enterprises, governmental organizations and other organizations interacting with customers, stakeholders or others using the Internet as a communication channel. In the nineties, the use of CMS has been almost exclusively the domain of large, often multi-national, companies and governmental organizations. This has changed and CMS are now used by Small and Medium Sized Enterprises (SMEs) to deliver 'content' to their customers and/or employees. SMEs often have a limited capacity to allocate the necessary resources (money & people) to conduct the required analysis of their business processes, evaluate CMS software and develop and implement applications. This has opened the door for vendors to offer 'standard' CMS solutions usually based on a limited selection of templates. By adding the company logo and colours these 'out-of-the-box' solutions offer SMEs alternatives to ‘expensive’customized developments. The other solution for SMEs may be found in using Open Source CMS. Using Open Source software requires no license fees and allows customized development so that the company can use its creativity to build a system in line with its image, philosophy and mission, without the limitations of fixed templates. In addition it also allows companies with existing websites to 303 Open Source Content Management System for a Sports Centre develop a new dynamic website using Open Source CMS with the same look and feel as their existing site and thus remain consistent in the communication to their customers. The sector of ‘Sports Centres’ in The Netherlands has initially been slow to adopt the new technology made available for content delivery. This is not surprising as this sector is driven by mostly non-technical people and the services they provide to their customers do not (did not) require the use of technology other than purpose build exercise machines and a database for membership management and accounting purposes. In addition many privately held sports centres did not or do not have the resources to start with software development. In the last 5-7 years this has been changing as the larger centres, often part of an international group or franchise, started using the Internet as an interactive tool to communicate with their members and provide information on health related issues. The use of electronic media has since been growing fast. Sector related organizations, such as the ‘Nationaal Gezondheidsplan’whose mission is to promote a healthy lifestyle are developing applications to make people more aware of their health and the need to exercise. Not in the least thanks to the relative large investments made by the Dutch government in public health and prevention as % of the health expenditure. In addition, or perhaps because of this, software vendors have started to target this market and have been developing sector specific software products. Some software vendors are specializing in software tools for sports centres to manage e.g. membership administration, fitness programs and other applications. In other words: content for healthy lifestyles is growing in this sector in The Netherlands and independent sports centres are becoming aware of the necessity to keep up, communicate with their members and deliver interactive content via the Internet. Summarized, the need to venture into the world of content management for sports centres is driven by: • To need to keep up with competition and market trends • The pressure from own members who want ‘online’content & services • The need to run the sports centre, its communication and administration, as efficient as possible to remain financially healthy Problem The sports centre in our case study has been growing consistently since its establishment in 1996. A growing number of club members, staff, and activities triggered the need for better and efficient communication between all these parties to improve overall efficiency. As the organization became more complex, accurate, timely and correct information (exchange) became more challenging and the existing communication channels proved to become insufficient to do the job. The sports centre we used in this case study had a primitive static website. This website was considered 'very poor' by the club members which became clear in a communication survey that was conducted in 2004 to investigate the quality of communication in general. The sports centre did not have any in house resources or the financial means to start any major new development so the problem it faced could best be described as: “How to create a website that meets both the needs of the club members and of the management of the sports centre, use it as a professional communication channel, at low cost, and, if possible, without the need for technically skilled personnel to maintain the site.” The key issue was therefore to come up with a solution to deal with the growing information flow and communication requirements that could be used as an additional, mature and valuable communication channel. 304 Real-Life Knowledge Management: Lessons from the Field Our proposal was to investigate the possibility of building a new, dynamic website, based on CMS technology. This solution could prove be capable of handling the information flow in a dynamic interactive way and improve overall communication efficiency. Learning Objectives: • CMS for sports centres (SME): evaluation criteria • CMS for sports centres (SME): benefits and pitfalls • Interpreting differences between Open Source CMS and Proprietary CMS • Evaluating cost of ownership when considering the use of (Open Source) CMS Approach In order to fully understand the problem described in the previous section, and the business processes that are related to this problem we have systematically analysed the company’s business processes and used feedback and input from the company management, staff and club members to get a thorough understanding of the communication requirements. The steps we have taken are listed below: • Business analysis and familiarization with the help of the company management • Business Process analysis and definition • Market scan: Analysis of websites of other sports centres & related businesses • On line survey for club members using the (new) static website • Interviews with club members • Definition of the content requirements • CMS pre-selection (short list) • CMS evaluation & selection • Development & Implementation of prototype In the next section we will summarize our actions and findings for each of these steps. For ease of understanding, throughout this case study, some symbols are used as follows to provide/indicate: Intermediate conclusions; Practical tips or lessons; (+) Benefit; (-) Possible Pitfall Case Analysis Business Analysis The sports centre is located in the centre of The Netherlands. It has about 1200 club members and 20 largely part-time staff. The company is in full expansion after its creation in 1996. The sports centre offers about 18 different scheduled activities for adults and an additional 8 scheduled activities for children. To take part in these scheduled activities club membership is required. Besides the scheduled activities the sports centre takes part in or organizes various events and also runs short term courses. An example is a 6 weeks outdoor inline skating course in the 305 Open Source Content Management System for a Sports Centre summer or a 10 weeks training in self-defence for girls. To take part in such a short term course club membership is not required. In addition the sports centre organized scheduled sports activities for schools, companies and communal organizations. Finally the sports centre invites individuals and groups/companies for one-off activities such as parties, team building weekends and sportive social activities. Its communication channels consisted of a primitive static website; a paper based Fitness newsletter (every 3 months), a notice board (in the centre) and face-to-face communication. Business Processes In table 1 we have listed a summary of some business processes that will be affected by our proposal to implement a dynamic, CMS based, website as communication channel. We included in the table an indication of the expected return in terms of increased efficiency and elimination of cost related to inaccurate, incorrect communication. Table 1 Business processes sports centre Main process Information Personal Performance Membership Activity planning Special actions Target Business processes Frequency of Characteristics change(*) Login Complexity Expected return one-way traffic, general information about company/ program/ actuality / lifestyle / health Low no Low Medium customers interactive / twoway traffic, specific information / training schedules / progress / ask trainer High yes High High customers interactive / twoway traffic start/stop/change membership (details) / pricing Low no/yes Low Low Medium no Medium High Low no Medium High customers, stakeholders, employees customers, employees customers, employees interactive / twoway traffic consult agenda/register for activities/events interactive / twoway traffic participate in actions & promotions / activity on request (*) High : daily Medium : weekly Low : > weekly Below we provide a short definition of each of the processes in the table: 1. Information: To provide (general) information on the sports centre, its activities, its contact details, and other relevant company information. 306 Real-Life Knowledge Management: Lessons from the Field 2. Personal Performance: Relevant information exchange between the sports centre and an individual club member about his/her performance and progress 3. Membership: Information about membership (profile/account), which can be changed and/or updated by the club member 4. Activity Planning: Planning and scheduling of sports activities and events, allowing club members to register and/or provide feedback and consult the planning agenda 5. Special Actions: Launch of special actions to recruit new members, to promote new activities and to highlight specific events These processes are generic for most sports centres. They all have a need for activity and events planning and they need to communicate these (and changes to the schedule) to their members in an easy and uniform way. What is interesting is that the highest expected return comes from the personalized performance follow-up since this represents a new marketing & communication tool. Analyse your business processes and check where value can be added before embarking on a CMS journey. Market Scan In order to get a better picture of the market in which our sports centre is operating and the kind of website development that is going in this market we included in our research: • websites of other sports centres in The Netherlands, mostly in the same province; • websites of companies active in the health & sports market. From the websites of other sports centres we have included in our research, most of them in the same geographical area as they can be considered competitors, we concluded that website development, especially when using a database driven dynamic architecture, has not yet matured in this segment. Most websites were ’information’driven and static sites. Interactive, personalized, communication with the visitors was not included in any of the websites we included in our research. The websites of companies active in the health & sports market illustrate that the health market (in The Netherlands) is quite dynamic and that there is no lack of new initiatives to make people aware of the importance of a healthy lifestyle. Exercise, food, and general lifestyle aspects are all covered. These websites tend to be more sophisticated and dynamic. At the same time, software companies are discovering a niche in providing specific software targeted at this market. This phenomenon shows that people are interested in advice and personalized interactive communication about their health and lifestyle, which supports our initiative for the development of a CM-architecture for ‘local’sports centres. Analyse your business environment (local competition & market trends) to get a feel for the technology currently used in the market and the need to develop applications. Online Survey The purpose of the online survey was primarily to get feedback from club members on their browsing experience and their expectations in terms of content requirements for the new dynamic website we intended to develop. A secondary target was to increase the number of visitors to the website. Since the existing website was considered very poor and club members had virtually stopped visiting the site we decided to 307 Open Source Content Management System for a Sports Centre completely renew the static website before launching the online survey for club members. The new site offered an improved user interface, more and better information and simple interaction between club members and the sports centre. The launch of this new site was used as a vehicle to launch the online survey. The idea of this intermediate step was to use the same user interface when building a site in a CMS. This can be an important criterion for other SMEs as well since the communication style, look and feel, should be kept as consistent as possible and according to the house style. At the same time the new site offered the possibility to obtain valuable feedback from users about their browsing habits, which, in this case, would have been impossible (or at least more difficult) if the existing site was not changed (they stopped visiting). We will not discuss all results in detail. However we do want to highlight a couple of interesting findings. We collected 18 responses divided in 15 members and 3 non-members. The number of members at the age of 10 years and older was at the time 1058. From an earlier research (2004) we know that about 65% of the members rarely or frequently visited the (old) website. Among members using the Internet, the response rate was therefore roughly 15/(0,65x1058) = 2,1%. • Everybody was using Internet Explorer • Most respondents were between 20-49 years old which follows the age distribution in the sports centre. No respondents in the age group 50-59 years! • The frequency visiting the website was low on average (majority visits only once a month or less!) • Most people visited the website to see the latest news or get information on the activity schedule • Hardly anybody at the time of the survey visited the website to register for events / courses • The interest for a personalized section is clearly present for one third of the respondents while 50% hesitate (depending on the content). Only 3 respondents had no interest at all. • Most respondents are interested in their personal results, personalized advice and downloading of their (personalized) fitness programs. In addition they like to be able to (electronically) communicate with the trainer and change their account information. Since building a personalized section is one of the main design objectives for our CM architecture with the highest expected return (see table 1), the interest for a personalized section is an important result and it justified to continue development! The overall conclusion from this survey was that it supported us in the continuation of this project and the selection of a CM-architecture to develop a dynamic website. Although your ideas to develop new applications on your website for members look great on paper, do not omit to check them with the potential users before starting to implement them. This will determine the scope of your project. Face-to-Face Interviews Since the development of the personalized section was at the core of the project and the choice of our CM-architecture, we decided to follow up on the survey by inviting some of the respondents who were clearly interested in the personalized section for an interview in order to clarify in more detail what exactly they expected from this feature in terms of content. 308 Real-Life Knowledge Management: Lessons from the Field These interviews showed that in general the user interest is focused on the online follow up of personal progress and results as illustrated in table 2 (content requirements). The scope of the project has been determined by combining the survey with face-toface interviews. Content Requirements Based on the business process analysis, the online survey, the interviews and input from the management we made a short list (table 2) of the content/functionality requirements for the personalized section of the website. Table 2 Simplified list of content/functionality requirements Selected functions Check Weight & Body Mass Index Check Fat Percentage Check Condition Check (max) Heart Beat Check Blood Pressure Get Personal Advice Download fitness programs E-mail to trainer Get Health report Remark These functions should be included in the first release of the website. They were also used to test the CM-architecture and set up some programming examples in the prototype The architecture should support this functionality but implementation was not planned for the first but eventually a second release of the website For the functions that were to be integrated in the first release of the software (see table 2) we have defined very simple Use Cases as shown in table 3. Table 3 Simplified Use Cases Simplified Use Cases Login / Logout View progress (history) Enter target value (objective) Enter current value (today’s value) Clear values (delete history) The content & functionality requirements in table 2 refer to the personalized section of the website. From table 1 we learn that the highest return was expected from this new development. In fact, it would be a competitive advantage to provide club members with this functionality, which we learned form the market scan. However, the content requirements are of course not limited to the ones in table 2. The website should also cover the following content and functional requirements: • provide (general) information • allow membership/account consultation and changes • provide schedules of activities • allow registration as new member (and end membership) 309 Open Source Content Management System for a Sports Centre • allow registration for events and short term courses • ask questions (faq section) and provide feedback • provide general information (electronic newsletters) on food, weight, health etc. • offer information on other facilities in the sports centre • offer information on and allow requests for ‘customized’group activities The ultimate goal therefore is to build a CMS based website which can be linked to the club members administration (database) so that the membership details in this central database can be shared and used to be completed with personalized performance data for those who are using this option. Make sure when starting to work with databases and (sensitive) membership information that (data) security and integrity issues need to be taken into account. Personal information is protected by law. CMS Pre-selection Since we are about to select a CMS to build our website, it makes sense to first try and define what a Content management System actually is. There are many definitions, but we’ll use one from Wikipedia (a free online encyclopaedia, created in a CMS itself!): “A content management system (often shortened to CMS) is a system used to organize and facilitate collaborative content creation.” A typical way to represent a CMS is illustrated in Figure 1. Publishing Content Creation Content Management Presentation Figure 1 Basic representation of a CMS The CMS facilitates content creation, which can be managed within the CMS and, after approval, published for presentation. When evaluating our CMS we need to consider: • Content –what goes into the system and what should come out! • People –who is using/managing the system and what do they expect/is expected of them! • Processes –how do we manage and maintain the system (incl. security issues, procedures) • Architecture –how to integrate it into the current system design • Future of the organization –plans, strategy, future requirements Based on these evaluation criteria, we summarized the CMS requirements for our sports centre as follows: • 310 Simple workflow management: Selected staff members should be able to create content which can be published after approval by the management/owner. Currently only the owner provides content. Real-Life Knowledge Management: Lessons from the Field • Integration in the existing IT infrastructure: Many sports centres use (often dedicated) software for member administration and have a relative simple IT infrastructure. Our sports centre only has a few PC’s, an Internet connection and no internal network. • Easy to use: As we are dealing with non-technical staff the CMS should be easy to use (intuitive handling). • Language support: In our case English can be used (for the CMS, not the content itself!) although support for the Dutch language would be a plus. • Customizing: The CMS should allow us to create our own templates, look & feel and user interfaces. We want to be able to use the same interface as is used for the static website. • Security: Since the website will be database driven special attention goes out to the security features that can be implemented to protect data and data integrity as well as authentication. We will use login procedures and protected databases. The database will run on a different server than the web application. • Others: We prefer support for multi-users, version control & archiving, content re-use (RSS), Metadata creation, no license restrictions. We now reached the point where we had to test various CMS and make our final. Since there are so many CMS available these days we had to make a pre-selection first of CMS we want to examine closer. The selected CMS were then installed to get a better understanding of the functionality and easy of use. We made a pre-selection based on the criteria in table 4. Table 4 Pre-selection criteria Criterion Low budget Well established IT integration Customizable Description Our sports centres cannot afford to spend a lot of money on a CMS. We are looking for a CMS that is already established in the market, can produce reference installations and has an active support and development community. We are in principle looking for an OS independent CMS that fits into existing and future infrastructures. Since we started with an existing website and want to retain a similar (but improved!) look and feel. Customization is a must. Conclusion We will try and find a solution in the Open Source community. Not all Open Source CMS are in production phase. We focus on high end solutions with market presence only. The CMS has to fit in the existing IT infrastructure (Windows, no network) We are looking for a CMS that allows easy customization to create a similar user interface. Since the market is flooded with CMS it is important to make a pre-selection of 3-4 products you want to evaluate in more detail, in order not to loose yourself in information and details. CMS Evaluation & Selection Based on these criteria in table 4, we made a pre-selection of four different Open Source CMS. Three software packages were downloaded and installed for testing purposes. The fourth (Midgard) 311 Open Source Content Management System for a Sports Centre was not installed as it did not support a Windows environment and this was one of our requirements (it was short listed since it is a well known and established CMS and could be used as benchmark for the other packages). Please find an overview of our findings in table 5. Table 5 Overview of evaluation results Open Source CMS FEATURES Midgard project 1.6 Plone 2.0.5. OpenCMS 5.0.1. Web server Apache Zope Tomcat, Apache Application server Midgard framework PHP All Linux/ BSD/ Unix-like OS - no Windows! Zope Tomcat Tiki CMS 1.7.5. Apache or other PHP enabled PHP4.1.2+ OS independent OS independent OS independent OS Database Core language CMS Support community Professional support in Benelux Ease of set-up & installation (1=very difficult - 5=very easy) > remarks installation Dutch language support Can be extended (own development) Easy to import existing site/templates (1= very difficult 5= very easy) > remarks about import Features (1=very poor ; 5=very good) License User interface Development status : production Security issues (e.g. SSL ) Complexity for first time user (1=very easy - 5=very complex) MySQL most relational database systems C, PHP Good no Python, Zope Very good yes MySQL, other SQL db with JDBC connector Java Good yes n/a 4 3 2 fine tune TomCat conflict existing mySQL MySQL; PostgreSQL JavaScript, PHP4.2+ Very good no no no no 97% done yes yes yes yes n/a 2 4 3 n/a write import scripts integrate into jsp pages convert to Tiki format 3 5 GNU Library or Lesser GPL Web based stable GNU Library or Lesser GPL Web based stable limited good 2 4 GNU Library or Lesser GPL Web based stable good n/a GNU GPL Web based stable limited (free add-ons) 3 As we can see in table 5, some criteria (in red) were bottlenecks for our particular project. Others (in blue) were considered a plus. This can naturally be completely different for other projects and applies only to our specific case! The Midgard project did not support a Windows environment which made it less useful for us. Plone was written in Python / Zope which meant a new language had to be mastered to use it. This left us with OpenCms and Tiki. Although its standard functionality was more limited than e.g. Tiki CMS, OpenCms was fairly easy to use for a first time user and importing existing templates was not too difficult which made us decide to select OpenCms as our platform for further development. Final selection of a CMS must depend on the individual project requirements. No two projects are the same and therefore you need to define your own criteria. You can also opt to build a more complex evaluation system with weighing factors, but beware for too much detail, which makes this process unnecessary complex and time consuming. 312 Real-Life Knowledge Management: Lessons from the Field Development & Implementation The final step was to develop a prototype of the new website, including the database, and set up a test environment. As OpenCms supports de Model-View-Controller architecture (figure 2), we used this architecture to build our prototype. Sqlyog.lnk Apache Tomcat/5.0.18 Figure 2 Model-View-Controller architecture Our experience during the development of the website illustrated that, although ‘on paper’ everything looks straight forward, the reality is often not ideal. Trying to find solutions for programming problems in Open Source software can often be time consuming. In this case we encountered some problems with the implementation of Java Beans and Applets. In addition, not all JSP commands were supported (e.g. <jsp:forward>) and the implementation of the Lucene Search Module required some changes in the setup of our Tomcat application server which was not documented. In other words, the fact that full compatibility with JSP is not guaranteed in OpenCms 5.0 and that not everything is documented resulted in a development phase that took more time than initially anticipated! In addition we discovered that the website build in version 5 of OpenCms (the version we used) could not simply be imported in version 6 which was due for beta release at the time. This could mean that support for version 5 from the community would slowly disappear in favour of version 6. OpenCms also supports SSL connections. Security is a very important issue and should not be underestimated for any website development project as we already mentioned earlier. Especially for projects that involve a database with sensitive information. We learned through the user forums that some of the problems that were encountered in Version 5.0 with SSL are supposedly solved in Version 6.0 but have not verified this. 313 Open Source Content Management System for a Sports Centre Developing a website in OpenCms can be time consuming due to (undocumented) restrictions or incompatibilities and the reliance on support forums and development communities. Results and Business Impacts Key Findings: Benefits & Pitfalls OpenCms Software: The Product (+) OpenCms 5.0 is a mature and stable Open Source software. The OpenCms platform allowed us to develop a prototype of a new dynamic website according to our requirements. (-) The fact that there was no full compatibility with e.g. JSP and that not everything was documented resulted in time consuming development. OpenCms projects are, as Open Source software, by definition driven by the community and in that context virtually anybody can contribute to the development. Contributions were made in the form of core system development , such as the development of Version 6.0, or the development of modules, such s the LDAP module or bug fixing , writing documentation and “how to ‘s” or localize the workplace (for example in the Dutch language). (-) One of the major pitfalls we encountered during our development stage is that actual development took much more time than anticipated due to a lack of documentation and some incompatibilities (e.g. with JSP). (-) Another pitfall was that this project could not have been realized without a thorough technical knowledge and programming skills, despite the fact we choose a CMS that was, at first sight, easy to use. So, while the software license is free of charge for OpenCms, professional support (if required) is provided by commercial companies such as Alkacon and has to be paid for. (-) We also discovered that our development in Version 5.0 could not be migrated to version 6.0. In other words there is no upwards compatibility. In the case of OpenCms de development was driven mainly by Alkacon, although many other companies are involved. Alkacon also provides professional support for development. (-) The bottom line remains however that for future development and improvement of OpenCms depends on the ‘goodwill’of the community and as a users, you get no guarantees on compatibility, integration or future releases Development: The Customer A survey among the club members which was conducted in 2004 showed that about 65% of the members had at least once visited the website (the old one at the time). (+/-) For our sports centre the website is an additional communication channel to the existing channels in the communication strategy of the company. (-) At this point in time we are still working with the new, but static website. The proposal for the development of a dynamic website using OpenCms has been put to the management/owner of the sports centre, but no final decision has been taken on the continuation of the project. 314 Real-Life Knowledge Management: Lessons from the Field Why not? Two main reasons: 1. Lack of time to study the proposal and its implications in more detail 2. For the project to be successful it is necessary that the Internet/website is used by management and staff as an integrated part of the business. Currently we see that the website is still very much an ‘add-on’and used on an ad-hoc basis. Only by providing a positive browsing experience and continuous updating the website will increase the number of returning visitors, and thus increases the value of the channel and return on investment. We have to conduct a second (online) survey based on the existing but completely renew website. A third survey will be required to evaluate the dynamic website using CMS once launched. Development: The OpenCms Community (+) OpenCms has an active user & developer’s community. This was one of our selection criteria. Our experience with the user forums (also those from the other CMS we tested) is that they can be very helpful and in active communities you regularly get some kind of answer fairly quickly. (-) Our experience in this case study is it wasn’t always easy to solve a programming problem using the forum. It was hard to get anyone to answer a second question on the same subject (i.e. a thread), if the first hint wasn’t helpful or properly understood. (-) In addition, we were always depending on the goodwill of the others and were never sure when someone would answer. In this sense the user forum was for us a time consuming way to find an answer to certain problems. (-) The community working with OpenCms was nevertheless very active and in general helpful. However, during the last month or so, they seemed mainly occupied with the beta release of Version 6.0 and we got the impression that Version 5.0 questions became less of a priority. Development: Maintenance & Hosting Before we launched into the development of our own website based on Open Source software we checked the availability of professional support in the Benelux (see table 5). What we omitted was to thoroughly check the hosting options for OpenCms. It turned out that the possibilities to host our OpenCms project are quite limited. (-) Since our sports centre does not have the IT infrastructure to host their own website a third party had to be found. We found a possible hosting partner for our OpenCms product in the Netherlands: Proteon in Delft. OpenCms: Cost of Ownership One of the benefits of OpenCms is the fact that the licenses are free of charge and the software can be freely used, modified and expanded. We have not found literature in which the real cost of ownership is calculated for OpenCms projects compared to e.g. proprietary CMS. What we do find in literature about commercial CMS projects is that the software usually only represents 10% of the total project cost and that development and maintenance takes up 75%! 315 Open Source Content Management System for a Sports Centre (-) In this context the bonus of not having to pay any license fees for OpenCms may in fact look already far less attractive. The flipside is namely that there is typically no product guarantees, support is either on a goodwill basis or has to be paid for (as in a commercial project) and the total development time may increase due to unexpected ‘behaviour’ of the products, bugs or other functions that are not or not well documented. (+) No license fees have to be paid and the software can freely be used. We have no experience paying for professional support in this particular case study and can therefore not quantify the (potential) impact. Business Impact The development of our prototype proved the feasibility to create a CMS based solution for the sport centre using OpenCms (see above). Using the new features offered by a CMS, especially the ‘personal performance’functionality, adds value for the club members and thus to the company. However, as we have not yet gone beyond the prototype development and continuation is pending a decision from the management/owner of the sports centre, we cannot yet provide feedback on its use, the way it is perceived by the customers/members and whether it helped to further increase the number of visits to the website. What we do know is that the renewed static website, made as an intermediate step, already receives much more visitors than the old one. We cannot put numbers on it yet, but base this conclusion on the feedback that the management receives and the increased number of e-mails. Members and staff alike use the electronic forms provided and this communication channel is generally appreciated. The FAQ section is however hardly used at all. The site is frequently used to consult schedules and activities. As mentioned earlier, a second online survey is due to measure the impact of this site compared to the first survey we did. The current site provides the following functionality: • up to date and accurate activity schedules o using the website for publishing new schedules and planning information • up to date and accurate membership information o allowing members via electronic forms to register changes in address, phone number, e-mail etc. Also offers the option to end membership. • an extra channel to communicate special events and allow visitors to register o electronic form to register for short term courses • an extra communication channel to promote customized group activities • an extra communication channel to publish (electronic) newsletters o not only the fitness newsletter but also a new newsletter about eating habits is now launched online. • Visitors can calculate their BMI (Body mass Index) online • The site is used to promote facilities (e.g. sauna, child care during training) and other activities (e.g. sports massage) Currently, as the CMS is not yet installed, we use a blog to allow the management to write and publish ‘news’items by themselves. The introduction of OpenCms should make this blog obsolete. 316 Real-Life Knowledge Management: Lessons from the Field Once the green light is given to continue development of the CMS in OpenCms Version 5.0 we can add the following important functionality: • a personalized browsing experience for club members • content creation by the management and possibly staff members Since we manage most other content requirements using the static website these two items will have the biggest business impact after the introduction of OpenCms. A personalized section should give the visitor/member a unique browsing experience. The ability to create content without having to ask this to third parties (technical support), and thus handle changes in schedules, activities, photos etc. independently will be a major benefit for the sports centre. As mentioned in the previous section, we should however remain aware that the website must become an integrated part of the communication strategy! It cannot survive on its own and omitting all other forms of communication in favour of the website is not the right way either. For this case study we developed a prototype of the website using OpenCms. The business impact in terms of club member satisfaction, reduced cost through improved process control and increased revenues by additional online marketing is therefore not yet calculated. These are variables that can be measured over time mainly by monitoring derived variables such as operational cost, increase in memberships, revenues from events and other special activities and bottom line results. Club member satisfaction can be measured by organizing surveys on a regular basis. Conclusions OpenCms offers a framework to build a CM-architecture that meets all the requirements we defined sport centre. Professional support is available if this is required and also for hosting the site we found a solution. The OpenCms community is active and new products (versions) are being released. However, we also concluded that developing the application in OpenCms has taken a considerable time and required significant technical resources. Although the end result is an application in which the content creation can be organized without the need for any technical or html skills, the development and maintenance definitively requires those skills. We defined earlier in this report that it would be desirable to find a solution where no technical skills were required to maintain the site but this criterion can not be met with our solution. The business impact looks promising in a positive sense but could not be measured yet since we have not yet implemented the final solution. Nevertheless, from our research and development work up until the prototype we can conclude that: Conclusion 1: Building this dynamic website, using OpenCms, will bring a significant added value to the sport centre and will give it a leading edge compared to local competitors when it contains a personalized section for members where they can monitor and update their personal progress and results. One of the major obstacles we identified is the lack of technical skills in our sports centre to maintain the site which means that external professional supports remains required even though we’ve build our application in a ‘license free’Open Source software. Add to that the fact that further development cannot be guaranteed yet since there is no real ‘project owner’in the sports 317 Open Source Content Management System for a Sports Centre centre (the management/owner is too busy with other priorities) and a successful future of the dynamic website becomes uncertain. Assuming the decision is made to develop a CMS application based on our first conclusion, it leaves us to decide between the use of OpenCms (or another Open Source CMS) or a proprietary solution. Taking into consideration that we lack technical skills in the sports centre and have no clear project owner combined with the time consuming development phase and the fact that a hosting partner was not easy to find, there are many reasons to opt for an ‘off-the-shelf’solution. Conclusion 2: Sports centres (SME) are probably better off to select a proprietary solution and outsource the complete project. We suggest using OpenCms (or Open Source alternatives) when the proprietary solutions cannot offer the required functionality and/or when there are specific reasons why the sport centre does not want to rely on one particular vendor. The total cost of ownership will most likely not be much lower by using OpenCms, despite the free license. 318 Real-Life Knowledge Management: Lessons from the Field Practical Tips and Key Lessons: • Analyse your business and business processes: which processes can be optimized and made more efficient by using a dynamic database driven, CMS based website? Determine the added value to your organisation. • Check what your local competitors are doing by visiting their websites. Follow online trends in the health market • Verify the ‘ needs’of your members/users for new applications before starting to develop them (such as personal progress reports). This will help you to define the project scope • When developing and application involving personal information (of members), take into consideration that this information is protected by law. You need to take measure to secure the data and guarantee data integrity. Does your solution covers these issues in a sufficient way? • Create a short list of 3-4 CMS systems to evaluate based on 4-7 key criteria, before making a final choice. • Final selection of a CMS depends on individual project requirements. Build your own evaluation matrix and use weighing factors if required. • Include proprietary ‘ off-the shelf’systems in your evaluation • Developing an OpenCms application can be time consuming due to (undocumented) restrictions or incompatibilities with existing standards in the market combined with a reliance on support forums and development/user communities (goodwill). Although no license fees need to be paid, Open Source CMS applications are not free of charge! Can you afford a relative long development phase? • Think about hosting alternatives before developing an application and include this in your selection criteria • Check for the availability of professional support if no in-house resources are available as one of your selection criteria. Do not focus solely on the product functionality itself • Check the type of license that comes with your Open Source CMS before you start an application and include this in your selection criteria • OpenCms 5.0 is not upwards compatible with OpenCms 6.0 (migration is possible but takes time!), so check compatibility issues where relevant. • Is there an active community, are there reference sites and is continuous development visible (bug fixing, upgrades)? • User forums are helpful but no guarantee for solving your problem. Is there any other source available for support? • Which OS and hardware is required for your solution? • Check other tools needed for your application (database, application server,...) Acknowledgements Mr. J. Van Hoolandt –KPMG Mr. W. Steurs –KPMG 319 Open Source Content Management System for a Sports Centre References Horstmann, Cay S. & Cornell, Gary (2002) Core JAVA 2 Volume II: Advanced Features, Sun Microsystems Press , ISBN: 0-13-092738-4 Kroenke, David M. (2004) Database Processing 9: Fundamentals, Design, and Implementation, Pearson Education International –ISBN: 0-13-120971-X Butcher, Matt (2004) Building Websites with OpenCMS, Packt Publishing, ISBN: 1-904811-04-3 Zeldman, Jeffrey (2003) Designing with web standards, New Riders, ISBN: 0-7357-1201-8 Veen, Jeffrey (2001) The Art & Science of Web design, New Riders, ISBN: 0-7897-2370-0 Harold, Elliotte Rusty & Means, W. Scott (2002) XML in a nutshell, O’Reilly, ISBN: 0-596-00292-0 Internet references of interest: Evaluated CMS Systems (table 5): http://www.opencms.org/opencms/en/ http://www.midgard-project.org/ http://plone.org/ http://tikiwiki.org/ Open Source License information (one of the evaluation criteria): http://www.fsf.org/ Open Source MySQL database used in or project (figure 2) : http://www.mysql.com/ http://dev.mysql.com/doc/mysql/en/secure-connections.html (SSL secure connections) User Forum OpenCms (used during development): http://synyx.de/board/ http://www.opencms.org/opencms/en/development/mailinglist.html Technical support/Hosting OpenCms: http://www.alkacon.com/alkacon/en/ http://www.proteon.nl/proteon/opencms/nl/home/index.html Author Biography Arthur Visser started his career in 1987 as Product Engineer at Océ Corporate Headquarters, Venlo, the Netherlands. Arthur has held positions in Product and Marketing Management, and executive sales at OMRON Electronics and as General Manager at HARTING from 1998-2003. In 2003, Arthur chose to become an independent management consultant and started his own company I.C.E. Europe in Brussels, Belgium. Arthur obtained a Masters degree in E-media Engineering at Groep T Technology College in Leuven, Belgium in 2005. Arthur has in addition a B.S. degree in airplane engineering and degrees in marketing and finance. He speaks Dutch, English, French, and German. I.C.E. Europe focuses on Corporate Performance Management, IT integration, Process Optimization and Electronic Media Solutions. 320 18 Virtual collaboration in the Brazilian Mould and Die Making Industry Rolando Vargas Vallejos Patricia Wolf Real-Life Knowledge Management: Lessons from the Field Virtual Collaboration in the Brazilian Mould and Die Making Industry Rolando Vargas Vallejos, Universidade de Caxias do Sul (rvvallej@ucs.br) Patricia Wolf, Hochschule für Wirtschaft (HSW) Luzern (pwolf@hsw.fhz.ch) Abstract In Brazil, several SMEs in the mould and die making industry recognised that they could learn trough collaboration with competitors applying the Virtual Enterprise concept. Competitors decided to join efforts and competencies and tried to establish stable relationships through the creation of a Virtual Organisation Breeding Environment. One of the most important reasons for these efforts was the insight that the collaborative dynamic of co-operation networks generates valuable innovation. This paper describes the journey of a successful establishment of a Brazilian mould and die Virtual Organisation Breeding Environment. Keywords: Virtual Enterprise, inter-company collaboration, mould and die making industry. Background Caxias do Sul Context The region of Caxias do Sul, located in the South of Brazil, is considered as one of the main Brazilian industrial clusters. The main characteristic of this cluster is that there are concentrated big, medium and small automotive manufacturers, auto-parts suppliers, mould and die makers, and plastic processing industries. The mould and die sector, actually, is considered as a key sector and enloses more than two hundred enterprises, employing directly more than thousand and eight hundred persons. Most of the mould and die enterprises of this sector are classified as small and medium enterprises (SMEs) (Pioneiro Newspaper, Informe Comercial, 2005). Mould and die manufacturing occupies a key position in the industrial value-added chain. The effectiveness of this sector results from a considerable influence on the competitiveness of production companies. According to Eversheim and Weber (2000), mould and die external boundary conditions are: • high pressure of time and costs as well as • high quality standards caused by fierce competition, new technological developments and lack of qualified personnel. Internal boundary conditions are a complex production system of “one-of-a-kind”tools for a high product spectrum that are disturbed by a high percentage of alteration orders, repair orders and rush orders. Because of these work environment conditions, the mould and die industry companies are always acting within a turbulent, dynamic and uncertain environment. 323 Virtual Collaboration in the Brazilian Mould and Die Making Industry To minimise the uncertainty of this turbulent environment, specific collaboration concepts, philosophies, techniques, methods and tools are used. One of the concepts applied successfully in Brazil is the Virtual Enterprise concept addressed in this paper. The concept represents a new approach concerning management and chain production processes (Mitrovic et al., 1999). It is based on the obvious trend for manufacturing processes towards no longer being carried out only by a single enterprise but by a virtual network. Here, each enterprise is considered to be a node that adds some value in the production cycle of the whole network. According to the concept, a Virtual Enterprise is formed by a number of pre-existing enterprises with some common goals come together. These companies form an interoperable network that acts as a single organisation (Camarinha-Matos and Afsarmanesh, 1999). Problem The world economy has forced changes in business processes. Organisations are adopting new forms of work, in order to become more competitive in terms of price, quality, and time-to-market. In this new paradigm, enterprises are establishing different collaborative relationships with customers, suppliers and even competitors. Such relationships are based on collaboration, sharing of resources, competencies and knowledge. Here, the companies are aiming at complementing the resources of all organisations involved in order to make the whole network more competitive. This kind of collaboration can be that intensive and continuous, that the companies involved form a Virtual Organisation where certain rules for the cooperation are applied - a more stable and serious version of a simple network. This scenario is not different in Brazil. In the last decade Brazil has been identified as an attractive market for the automotive manufacturers. As a result, foreign automobile industries are establishing modern plants in different places of the Brazilian territory, resulting in the creation or consolidation of automotive clusters. In Brazil, the mould and die industry is going through a critical moment, presenting some particularities. The mould and die sector requires specialised personnel as most of the mould and die designs and manufacturing processes are based on previous experiences, sometimes without technological innovations (Weingaertner et al., 1998). Actually, most of the mould and die used is still imported, at least those parts considered as big (size and weight) and complex (design and geometry), representing the goods with a more aggregated value for the production companies. Even though, the Brazilian mould and die sector is increasing in infrastructure, technology and knowledge in order to attend the necessities of automotive manufactures. The customer usually decides to purchase a mould or die product considering three main factors: quality, cost and delivery time. Besides that, another factor is emerging in importance, which is the agility in the business negotiation process. This work describes a research project experience related to the creation of a Virtual Organisation Breeding Environment in the Brazilian mould and die sector. Twelve enterprises decided in 1999 to apply the theory of emergent Collaborative Network Organisations in order to become more competitive. The question was: How can SMEs, being competitors in the mould and die sector, become more competitive in terms of price, quality, and time-to-market in the actual market trough collaboration? 324 Real-Life Knowledge Management: Lessons from the Field Learning Objectives: • From this case, the reader gains insights into a real collaboration project between competitors in the Brazilian mould and die industry. • The case presents major success factors as well as pitfalls for collaboration in mostly virtual collaborative networks. • The description serves as a success story for similar activities even in other industry sectors. Approach Nowadays, working alone means to miss opportunities. The company that does not participate in collaborations with other companies is predestined to lose its competitiveness in the near future. For this reason, organisations are establishing alliances, coalitions, joint ventures, and other emergent Collaborative Network Organisations (CNO). One of these emergent CNO is the Virtual Enterprise (VE) concept that has the potential to be applied with SMEs. As the VE concept is relatively new, there are some open questions to be answered for its practical application. In this paper, it is assumed that a “virtual enterprise is a temporary alliance of enterprises that come together to share skills or core competencies and resources in order to better respond to business opportunities, and whose cooperation is supported by computer networks” (Camarinha-Matos and Afsarmanesh, 1999). According with the authors, networking and cooperation are the keywords that characterize the VE concept. Despite the fact that cooperation between enterprises is not new, the use of Information and Communication Technologies (ICT) to support agile communication added a new value for these CNO. In the recent years, the VE paradigm has been moved from the research domain to the business application, supported by the recent developments in the ICT. The VE life cycle considers four interrelated and iterative phases: • Creation, where the VE is configured (partners’selection, contracts negotiation, definition of access rights and sharing level, etc.); • Operation, where the VE is performing its business processes in order to achieve its common goals (requires secure data exchange mechanisms); • Evolution, might be necessary during the operation of a VE when it is necessary to add and/or replace a partner, and • Dissolution, when the VE finishes its business processes. During these four phases the members’interaction, exchanging information and knowledge is intensive. In the VE life cycle, information and knowledge are used and created, new procedures are defined, trust between people grows - in other words, value assets (tangible and intangible) are created. To make the management of these value assets most effective and efficient - especially the intangible ones, it is proposed to apply the theory of Knowledge Management in a Virtual Organisation Breeding Environment (VBE). A VBE represents an association or pool of organisations that have the potential and the will to cooperate on the base of a long-term cooperation agreement. A VBE, being a long-term networked, presents the adequate environment for the establishment of cooperation agreements, common infrastructures, common ontologies and especially, the development of trust between their members, which is the necessary precondition for creating successful VEs (Camarinha-Matos and Afsarmanesh, 2004). When a VE is created, a Distributed Business Process (DBP) is formed that is split into Business Processes (BPs), where each BP corresponds to an individual part of the process or of the product. The information, procedures and knowledge created in this BP rarely will be reused along the DBP 325 Virtual Collaboration in the Brazilian Mould and Die Making Industry again if this process is not facilitated. However, the reuse of information, procedures and knowledge in other future VEs seems to be a good mechanism. The authors assume that by forming a VBE and creating and using an efficient Knowledge Management system, people, companies and future VEs will become more competitive. This becomes even more crucial as the number of enterprises in a VBE is not limited like in a VE. This paper focuses on a particular case study of an alliance between SMEs that are competitors. Although the alliances with competitors seem to be risky, the value of them can be high. The cooperating companies have the same types of products, purchasing activities, market interests, operations, processes and technologies. Those similarities create more opportunities for the collaboration than those among companies of different sectors. The establishment of a collaborative network among competitors can bring more benefits than disagreements, since the objectives, interests and limits of this cooperation are clearly defined. Case Analysis VIRFEBRAS Case Study VIRFEBRAS is a VBE that resulted of a research project coordinated by the University of Caxias do Sul (UCS), and the partnership between twelve mould and die makers, a Brazilian agency for supporting SMEs (SEBRAE-RS), and the State of Rio Grande do Sul government. These twelve enterprises, that are competitors, decided to take part in a research project with the purpose to learn how to build a collaborative environment using ICT (GALELLI et al., 2001). The main objectives of this VBE are: • Qualify the mould and die industries from Caxias do Sul region; • Learn how to work in a collaborative way, applying the VE concept; • Become more competitive in the national and international market. Initially, VIRFEBRAS members adopted the VE concept proposed by Camarinha-Matos and Afsarmanesh (1999) to establish a new collaborative form of partnership. As the concepts of VE were new, one of the major challenges was to set up this particular VE without previous knowledge in this area. The collaboration model of VIRFEBRAS VBE is designed as follows: Whenever an order is submitted to the VIRFEBRAS VBE, a VE is created, with one of the companies being the coordinator (VE-C), and other companies being the members (VE-Ms). The VE-C takes the responsibility on technical and legal aspects of the order. When the mould(s) and/or die(s) are delivered to the customer and there are no more issues to deal with that order, the VE is dissolved. This way, within the VBE several VEs may exist at the same time, with one specific company being coordinator of one or more VEs, and member of others. It is worth noticing that every company keeps its identity, and is also allowed to do business alone. In figure 1 are represented two VEs in action at the same time. VE1 is formed by four enterprises, where CJN is the VE-C and Coprima, Elite and NTC are VE-Ms and in the VE2, NTC is the VE-C and Gama and Sadel are the VE-Ms. 326 Real-Life Knowledge Management: Lessons from the Field VE1 VE2 Figure 1: of the VIRFEBRAS VBE with two VE in operation The creation of VIRFEBRAS went through several phases, namely training and education, (VBE harmonisation in both cultural and technological aspects), technology set up, market strategy, benchmarking, identification of shareable resources, organisational structure, and operational issues (GALELLI et al., 2001). These phases are described in detail in following sections. Education and Training In the early stages, four courses by the academic consortium partners had been offered for entrepreneurs. The first two courses (Virtual Enterprise: Creation and Dissolution, and Virtual Enterprise: Operation) targeted general concepts on VE. The third course was about mould and die budget. The fourth course was about Production Planning and Control (PPC). It was decided to offer courses on budget and PPC because for the mould and die industry those topics are quite complex and it was necessary to establish patterns for the collaborative work. Since the beginning of the project, participants have been alerted that behavioural issues are fundamental for the success of implementation of VEs. In order to foster development of skills related to teamwork, trust, cooperation, and participation, a two-day course on Outdoor Training Experience was carried out. During the research project, a course on Technology for Mould and Die Manufacturing had been specifically designed and held for employees of the enterprises that take part in the project. Technology Set-up As technology is a critical issue in the mould and die industry, entrepreneurs have a constant need to have access to up-to-date information in this field. In order to gain insights into alternatives for technology access, it was decided to visit mould and die shows and to pay for specific applied 327 Virtual Collaboration in the Brazilian Mould and Die Making Industry research in areas hat where critical to all VBE partners. In November 1999, VIRFEBRAS members travelled to Europe to visit the Euromold Show (in Frankfurt) and research institutes in Germany and Spain. In September 2000, the group travelled to North America to visit IMTS-2000 (International Manufacturing Technology Show) in Chicago and industries in USA and Canada. In October 2000, a one-year research project was contracted with IPT-Fraunhofer (Germany) having financial support from SEBRAE-RS. The research objectives were defined according to common problems for the mould and die industries. Market Strategy VIRFEBRAS as a VBE can offer a larger spectrum of products and services than an individual industry can and for that reason it becomes more attractive for customers. Due to this differential, VIRFEBRAS managed to reach important customers like the automobile industry. In September 2000, VIRFEBRAS members visited a General Motors plant located in São Paulo. In December 2000, VIRFEBRAS representatives took part in a conference held in Salvador, Bahia, which addressed the automobile complex where Ford Motor Company installed a new plant. Up to now, VBE representatives have been always invited to participate in that kind of activities. Benchmarking At the beginning of the research project, it was possible to observe that the participating companies were used to hide information from the other competitors. As time passed by and mutual trust and engagement into the common work has been developed, participants realised that this behaviour should be replaced by a new one, more suitable for a collaborative environment. They started sharing information and they learned that they usually have similar problems. The companies involved into the project understood that by sharing solutions, every enterprise involved could benefit from that exchange process. After the end of the research project in 2002, the VIRFEBRAS members decided to intensify the information exchange and sharing experiences in a systemic way, for that reason a specific Benchmarking methodology has been developed. The VIRFEBRAS Benchmarking methodology is divided in five phases and was developed to compare/evaluate technological resources and processes, identifying “best and worst practices” through specific technological performance parameters (Figure 2). Through the application of this Benchmarking methodology, it was possible to identify the core competencies and shareable resources of each enterprise involved. Since the application of the Benchmarking methodology, entrepreneurs and employees changed their behaviour from the initial posture of hiding information dramatically towards a frank exposure of even confidential technological issues (Vallejos and Gomes, 2004). PLANNING VIRFEBRAS database CREATION. INTEGRATION ACTION CHECKING Worst Benchmark Figure 2: Representation of the VIRFEBRAS Benchmarking methodology 328 Real-Life Knowledge Management: Lessons from the Field With the Benchmarking methodology, more than 150 benchmarking analyses were obtained. The result of this work is reflected within the organisational and technological strategies for the VIRFEBRAS enterprises. Another important result is the behavioural change that entrepreneurs went thorough. They noticed that they usually have, if not the same problems, at least similar ones. Once they started sharing solutions, they got the evidence that every enterprise could benefit from this exchange process. Nowadays, entrepreneurs usually share information; and they regularly invite each other to visit the different companies to present its resources and internal processes. Identification of Shareable Resources One of the major VIRFEBRAS advantages is the fact that its members can exchange and share their resources to the full extent. Entrepreneurs got used to share information about manufacturing resources, which allows every enterprise to accept a customer orders knowing in advance whether one or more partners will have the necessary machine capacity available. During the research project, one of the main issues discussed in the group was the development of an infrastructure to operate the VBE and procedures to handle customer orders and to share resources. As these procedures require quick and precise communication to meet the customer demands in terms of time and quality, the partners developed a web-based network structure called VIRFEBRAS Information System - VIS. There are two areas that can be accessed in the VIS: The first area is open for everybody and focuses on marketing information. The second area is only allowed to the VIRFEBRAS partners and dedicated to the exchange of the necessary information to run the VEs in operation. The shareable resources of each enterprise were well identified after the implementation of the VIRFEBRAS Benchmarking methodology. During the application of these procedures and while using the VIS, entrepreneurs noticed that a good management of information and knowledge would be the key issue for the VBE success. For that reason VIRFEBRAS, is now developing a Knowledge Management Program in order to speed-up the knowledge dissemination and reuse and to increase the enterprises competitiveness. Organizational Structure One challenging objective of the research project was to discuss and agree on how VIRFEBRAS should work. It is remarkable that the entrepreneurs decided to form a VBE. Creating a VBE through the establishment of a long-term cooperation agreement makes it possible to identify and plan actions to improve the competitiveness of enterprises and future VEs. In that sense, also specific research or consulting projects can be developed based on a common need. Those projects can be conducted in cooperation with different external partners like research centres, universities, consultancies companies, etc.. Each project has an assigned leader, who has the responsibility to guarantee the project success. The VBE members decided for that kind of hierarchical structure in order to guarantee efficient VBE operation. The overall VIRFEBRAS VBE organisational structure shows a directory board composed by a president, a vice-president and a financial responsible. One important VBE strategy is the search of business opportunities. This search is usually done by a Broker. The Broker has also the responsibility to support the VE creation and the search of potential future partners. For that reason, the broker needs to know precise information, abilities and competencies of the VBE members. The Broker will identify the necessity of additional competencies in order to serve potential future customers. In the VIRFEBRAS context, the Broker as a person doesn’t exist. The functionality of the Broker is taken over by each entrepreneur when a business opportunity appears. The VIRFEBRAS VBE developed a statute and ethical rules. The VBE statute covers entrance criteria for companies, members responsibilities, etc.. In the ethical rules are defined the behavioural aspects within the network, members and employees’sanctions, etc.. Those documents are reviewed periodically. 329 Virtual Collaboration in the Brazilian Mould and Die Making Industry The VIRFEBRAS Information System (VIS) is considered as a part of the VIRFEBRAS VBE structure (Figure 3). Each member uses a particular information infrastructure that contains a database and the appropriate software tools to manage the information about product model, mould and die design, production capacity, available resources, administrative and business-related issues, etc.. Each member defines the information that will be stored in the VIS and shared with the VBE. The VIS is accessible via an ordinary web browser or through the Information System Manager. The first option offers to the clients some marketing information and the current status of a given order (using access rights previously assigned to each client). The second option is used only by the VBE members. They can have access to the shared resources within the VBE and change the information related to its own production capacity available. Virfebras Information System Customer_1 Customer_1 Customer_2 Customer_2 Virfebras Site Information System Manager Virfebras Common Information DB Partner 1 Partner 1 Information BD PPC Applications Other Applications Partner 9 Customer_n Customer_n INTERNET Partner 9 Information BD PPC Applications Other Applications Figure 3: General representation of VIRFEBRAS Information System configuration Operational Issues One of the main issues discussed with the entrepreneurs group has been the development of a series of operational procedures to handle customer orders. The basic principle of the procedures is that a customer order is shared among the companies and the best offer is selected to fulfil customer’s requirements. This may result in the creation of several VEs at the same time in the VIRFEBRAS VBE. These procedures require quick and precise communication to meet the customer demands in terms of time and quality. For instance, one of the defined procedures for VE-C selection is when a business opportunity appears: A meeting is organised for the budgets presentation elaborated by each interested enterprise. The enterprise that presents the best proposal considering price and delivery time will be the VE-C of that service. Another procedure is used when the customer wants to take part into the decision how VIRFEBRAS VBE will assist him. Sometimes the customer 330 Real-Life Knowledge Management: Lessons from the Field wants to decide which enterprises will participate in the VE, besides which enterprise should be the VE-C. Results and Business Impacts Key Findings VIRFEBRAS is today a “best practice” example for a successfully established VBE. The VIRFEBRAS VBE will be documented constantly by the partners involved. Up to now, the VBE shows like every healthy enterprise network constant improvement and evolution. In an interview published by the Pioneiro Newspaper in March 2002, VIRFEBRAS members affirmed that the EV theory applied to SME competitors is valid, and that through joining forces it was possible to have access to new technologies, to share information and knowledge, to qualify employees, to contract research projects and consultancy work. The VIRFEBRAS members are convinced that a VBE is a collaborative network that must be in constant evolution, where the first paradigm to be broken is trust (Pioneiro Newspaper, 2002). Business Impacts It is possible to conclude that through joining core competencies, SMEs, even being competitors, can become more competitive offering a larger spectrum of products, developing new markets and serving additional potential customers. All VIRFEBRAS VBE members grew in infrastructure, technology, knowledge and hired more employees. During the development phase of the present work, entrepreneurs felt the need to systematise their information and knowledge exchange. VIRFEBRAS VBE entrepreneurs are convinced that an effective way to be more efficient and competitive is through a systematic exchange of information and knowledge. Conclusions The VIRFEBRAS case shows very clearly that virtual collaboration happens in a paradox environment: VBE member organisations need both autonomy and a feeling of belonging and certainty within a dynamic collaborative working environment. This case study can certainly serve as a best practice case for a big number of companies aiming at the establishment of a similar collaboration structure. 331 Virtual Collaboration in the Brazilian Mould and Die Making Industry Practical Tips and Key Lessons: • The start up phase of a collaboration network –be it virtual or regional – between competitors needs specific efforts for generating trust among the network members. In the described case study an especially clever method has been used to generate this trust: Common travels to events that have been thematically relevant for all members. This method is definitely creating a feeling of belonging to a group. • The members of a network can not be forced to share information, especially not confidential one. They must detect and articulate the need for knowledge exchange themselves. Only than they can develop common processes for knowledge and information sharing and develop tools that serve their own needs. • The written formulation of ethic rules and of operational procedures seems to be one of the key success factors in networks between competitors. These written documents support the growing of trust into the operational system (this is another level of trust than the one between single persons based on personal relation). • The organisational structure in the above described network is hierarchical and clear on the one hand side and case based, democratic and fair on the other hand side. The ability of the network to establish that kind of flexible but very well- defined structures can bee seen as one of the major success factors of the collaboration. References Camarinha-Matos, L. M.; Afsarmanesh, H. The virtual enterprise concept. In: Infrastructures for Virtual Enterprises –Networking Industrial Enterprises. Kluwer Academic Publishers, 1999. Camarinha-Matos, L. M.; Afsarmanesh, H. Collaborative Networked Organizations – A research agenda for emerging business models. Kluwer Academic Publishers, 2004. Eversheim, W.; Weber, P. The right strategy to success – Strategic orientation in die and mould manufacturing. Presentation in the colloquium “Werkzeugbau mit Zukunft”. Aachen: 22.-28. September, 2000 Pioneiro Newspaper. Matrizarias unidas crescem 30 %. Matéria publicada. Jornal Pioneiro, Caxias do Sul, 12 mar. 2002. p. 2. Pioneiro Newspaper. Informe Comercial – Setor de Ferramentarias. Matéria publicada. Jornal Pioneiro, Caxias do Sul, 20 abr. 2005. Mitrovic, D.; Hunter, I.; Male, S. Characteristics of networked enterprise in global construction. 5 th International Conference on Concurrent Enterprising. The Hague. The Netherlands, 15-17 March, 1999. Vallejos, R. V.; Gomes, J. de O. Applying a Benchmarking methodology to empower a Virtual Organization. In: Camarinha-Matos, L. M. Emerging Solutions for Future Manufacturing Systems. Springer, 2004. Weingaertner, W. L.; Vallejos, R. V.; Gomes, J. O. Uma reflexão sobre as ferramentarias nacionais. Revista do Plástico Industrial, São Paulo - Brasil, v. 1, n. 3, 1998. 332 Real-Life Knowledge Management: Lessons from the Field Authors’Biographies Dr. Rolando Vargas Vallejos obtained his PhD in Industrial Engineering in 2005 at the Universidade Federal de Santa Catarina (Brazil). He obtained his MSc in Mechanical Engineering in 1992 at the Universidade Federal de Santa Catarina, too. Since 1992, Rolando is working as a lecturer, researcher and consultant at the Universidade de Caxias do Sul (Brazil). Currently, he is the Industrial Engineering Course Coordinator. He worked on numerous research and consulting projects in the areas of Mould and Die, Collaborative Networked Organizations, specially in Virtual Enterprises. Dr. Patricia Wolf obtained her PhD in Business Administration in 2003 at the University of Witten-Herdecke (Germany). Whilst writing her doctor thesis on ‘ Success Measurement of Communities of Practice’ , she worked from 2000 till 2002 on a Knowledge Management Implementation Project at the DaimlerChrysler Passenger Car Development. Currently, Patricia is working as lecturer, researcher and consultant at the Hochschule für Wirtschaft (HSW) Luzern in Switzerland. In the meantime, she writes her habilitation on a European- Russian collaboration project at the ETH Zürich, Switzerland. Her research interests include Communities of Practice and the transferability of management concepts between different cultures. Prior to this, Patricia worked for three years as Researcher and Consultant at the Institute of Human Factors and Technology Management at the University of Stuttgart (Germany) worked on numerous consulting and research projects in the areas of Knowledge Management and Innovation Management. Patricia is leading the Zone ‘ Knowledge Management in Central Eastern Europe’ at the KnowledgeBoard. 333 Real-Life Knowledge Management Lessons from the Field Edited by: Abdul Samad Kazi & Patricia Wolf Real-Life Knowledge Management: Lessons from the Field is about the art and practice of knowledge management in real life settings. Knowledge is both created and shared within a context. Based on the hands-on experiences of the authors’where the knowledge was created and valuable lessons learned, this book provides the context for the sharing of this knowledge through a set of case studies spanning several domains and areas of practice. Through the eighteen case studies presented in this book, we learn about practical experiences in consultancies, financial institutions, fire fighting, global project management groups, public administrations, research and development organisations, small and medium enterprises, sports centres, the aerospace sector, the automotive industry, the construction industry, the IT sector, the maritime industry, the mould and die making industry, the nuclear industry, the oil and gas industry, and the water management sector. The case studies draw from a pool of experience spanning Austria, Belgium, Brazil, Finland, Germany, India, Israel, Italy, Norway, South Africa, the Netherlands, and the United Kingdom. Structured around industrial experiences and communities of practice, industry analysis and business modelling, and the design and implementation of knowledge management solutions, each case study features sections on industrial context, problem definition, learning objectives, approach, case analysis, key findings, business impacts, a set of conclusions, and most importantly, offers a valuable set of practical tips and lessons learned. Illustrations by Arye & Ron Dvir ISBN 952-5004-72-4