produktiviti - Ilmu Online
Transcription
produktiviti - Ilmu Online
jurnal PRODUKTIVITI BIL. 12, JUN'92 PERBADANAN PRODUKTIVITI NEGARA WORK CULTURE AND WORK ETHOS By Dr. Rajen Mehrotra (Page 5) PLANNING FOR PRODUCTIVITY: DISCUSSION ON A CASE EXAMPLE By Professor R.P. Mohanty (Page 18) THE DETERMINANTS AND ALLOCATIVE EFFICIENCY OF COCOA PRODUCTION IN WEST MALAYSIA (Page 37) KE ARAH MENINGKATKAN PRODUKTIVITI USAHAWAN WANITA SELARAS DENGAN MATLAMAT WAWASAN 2020: KES KAJIAN UTARA MALAYSIA Oleh Sabitha Marie an (Page 52) KESAN-KESAN KUMPULAN DAN PERSEKITARAN KE ATAS KEBERKESANAN PERLAKUAN KUMPULAN KERJA DI LEMBAH KLANG, SEMENANJUNG MALAYSIA By Guok Eng Chai (Pago 66) ISSN 0127-8223 0000053835 Jurnal Produktiviti - [Journal]. jurnat PRODUKTIVITI jurnal PRODUKTIVITI Penasihat/Adviser Ir. Haji Arshad Haji Marsidi (Ketua Pengarah) Ketua Pengarang Halimah All (Pengarah) Tim. Ketua Pengarang Mohd. Zaki Hamzah (Tim. Pengarah) Pengarang Sujaidi Dasuki Sidang Pengarang Isa Abu Bakar Muhamad Saufi Ahmad Dr. Abd. Wahab Muhamad Joseph Paul Annie Thomas Jurina Abd. Hamid Noorunsah Jakkaria Lilian Monica Kam Swee Lian Penerbit/Publisher Perbadanan Produktiviti Negara (National Productivity Corporation) Peti Surat 64 Jalan Sultan 46904 Petaling Jay a, Malaysia Tel: 7557266 Kami mengalu-alukan sumbangan rencana untuk dimuatkan di dalam jurnal ini. 'Jurnal Produktiviti' diterbitkan enam bulan sekali, menampung semua aspek ekonomi dan pengurusan serta lain-lain bidang yang ada hubungannya dengan konsep produktiviti. Rencana-rencana yang tersiar akan diberi honorarium dan tidak semestinya raerupakan pendapat NPC. RflPCE 'Jurnal Produktiviti' diterbitkan oleh Perbadanan Produktiviti Negara (Kementerian Perdagangan Antarabangsa dan Industri) Peti Surat 64, Jalan Sultan, 46904 Petaling Jaya, Selangor, Malaysia. Telefon: 7557266(15 talian), Teleks:MA 36312PDPN. Telegram: Dayapeng. NAFAS BAKU Respon yang menggalakkan dari para ilmuan untuk 'JP' ini tidak cukup sekadar diberi ucapan terima kasih. Semuanya yang sampai di unit penerbitan NPC menjadi 'bank ilmu' yang tidak ternilai harganya dari aspek pembangunan pengurusan dan pembangunan tenaga manusia khasnya. Justeru kami juga menerbitkan banyak lagi majalah yang menangani isu-isu produktiviti dan kualiti, adalah lebih bermanfaat seJdranya rencanarencana yang tujuan asal penulisnya ditujukan kepada 'JP'kami siarkan di dalam majalah terbitan NPC yang lain tanpa menjatuhkan nilai dan martabat penulisnya. Mulai tahun 1993, tiga penerbitan NPC iaitu Produktiviti, Spektrum QCC dan TQC akan disatukan menjadi satu penerbitan sahaja dengan nama bant 'Produktiviti & Kualiti'yang sekaligus memperluaskan lagi ruang dan fokusnya, di mana rencana-rencana ilmiah dan berat dimuatkan bagi memberikan kekuatan kepada penerbitan berkenaan. Dengan gagasan ini kita memohon prihatin para ilmuan menyumbangkan rencana-rencana ilmiah dan separuh ilmiah yang ada hubungkaitnya dengan produktiviti dan kualiti, pembangunan usahawan dan IKS bagi memberikan nafas baru pada penerbitan itu. Kami juga merasa sama-sama dukacita kerana terpaksa menyimpan rencana-rencana yang anda kirimkan untuk 'JP'ini dengan penantian yang agak lama. Sekali lagi jutaan terima kasih dan ribuan maaf - SD. Biodata Name : Rajendra Nath Mehrotra Date of birth : 26 January, 1945 Academic Qualification: B.E. (Elect.) (Hons), University of Bombay,1966 B.E. (Mech.) (Hons), University of Bombay, 1967 Master of Management Studies, University of Bombay, 1970. Post graduate Diploma in Industrial Management, University of Delft, The Netherlands, 1979. Ph.D (Mgmt.) University of Bombay, 1982. Present Position General Manager (Works), Sandoz (India) Ltd., Thane and Hon. Professor, Jamnalal Bajaj Institute of Management Studies, University of Bombay, India. WORK CULTURE AND WORK ETHOS Dr. Rajen Mehrotra* Background: "Work Culture" and "Work Ethos" is an area which of late, has commenced receiving increasing attention. Work is part of our life and the only way to derive benefit from nature's resources, is by altering or processing which finally leads to working on or with them. Work is surrounded by an array of attitudes, beliefs, norms, values, forms and customs which have differed with the passage of time. Work has had two sides which are paradoxical in character. On the one hand work is painful and difficult and on the other it is need fulfillment and enjoyment of life. People have experienced joy in work and have realised that work itself is a reward. Barry Z. Posner, W. Alan Randolph and Max S. Wortman in "A New Ethic For Work; The Work Ethic" have shown how feelings and attitudes of work have changed, over time and a diagramatic representation is attached. Work ethos is culture specific. Traditionally we as Indians have been people who looked upon work with respect and dignity and did not work for reward. However, with rapid industrialisation, we seem to have lost these precious traditional values and are now left with very little love for one's work, or pride in our own work. In our present day environment we do not hesitate to "stop" or "slow down" work so as to achieve our own desired objective. During the pre-1947 era this approach was adopted for achieving the country's independence. Today the same approach with higher intensity and coupled with violence is adopted by either side (i.e. management and trade unions or ruling political party and opposition political party) but the objective has changed. This approach has led to an absence of trust and faith on both sides with attitudes getting hardened and the final impact is that the common man suffers by paying a higher price for goods and services and the pace of economic hampering of the development of the country. Every country inherits a culture along with history and arising out of this inheritance flows a work ethos. Similarly, every organisation in a country with the passage of time and based on its own history builds a work ethos in its work environment. Loyalthy, declining commitment and falling work ethos are making Indian companies look out for Indian models to improve work ethos. While management principles are universal, management practices are culture specific and one can learn from success stories of companies in our country wherein the managements have made a conscious effort at improving the working climate and achieving higher work ethics. Mr. D.M. Silvera in his book "Human Resource Development - The Indian Experience" has identified the management practices from various angles at improving work ethics in the following seventeen companies (M/s. Hindustan Lever Ltd., Steel Authority of India Ltd., Indian Hotels Company, Bharat Heavy Electricals Ltd., National Therman Power Corporation, Petrofils Cooperative Ltd., International Airport Authority of India, Steel Tubes of India Ltd., Maruti Udyong Ltd., The Malayala Manorama Group, Neyveli Lignite Corporation Ltd., Crompton Greaves Ltd., Hindustan Development Finance Corporation, Voltas Ltd., Larsen & Toubro Ltd., The Tata Iron & Steel Co., Ltd., I.T.C. Ltd). This documentation helps one to explore the feasibility of visualising the application of some of these practices in ones own environment. There may be many more companies in India that have high work ethics; but because they are not documented, it does not mean that they do not exist. In the small scale sector work ethics is high though in most cases this attitude amongst labour stems from fear of the loss of employment while in management because management is none other than the owner. Work ethos in each organisation will depend on how we design work and its relationships. In today's organisation, work is economically compensated on a time-rated relationship and not a piece-rated relationship. Incentive schemes is a super imposition of the latter on the former. This paper deals with "Work Culture & Work Ethos" only in the context of the large-scale organised manufacturing sector. This paper does not deal with the service sector, agricultural sector nor the small scale manufacturing sector. The paper mainly concentrates on Productivity which is the need of the hour for our country. Concept of Work Work consists of the proper application of brain and body; work available is of two types (i.e. innovative and routine). With continuity of service in an organisation or profession work develops a future expectation which is called career. Changing technology also changes the character of work, however revolutionary technological changes brings in rapid and extensive change in skills required for work. Most of us are daily present for eight hours at our place of work but do we really work for the time we are present, what is our rating as per industrial engineering concept when we work. Pandit Jawaharlal Nehru said, "Work is Worship", when we look at our coun- try we find this has just remained a slogan and in some cases the slogan has also got transformed to "Worship is Work". Do we really have an environment for work in our country? A comparative study made by the Government of India revealed that no country has so large a number of holidays as ours. We have recently joined the band wagon of the industrialised countries by having 5 work days per week without cutting down on our festival holidays. In our environment a certain number of employees tend to enjoy sick leave as an annual entitlement of their service condition and not when they are really sick. If every holiday fell on a day other than Saturdays and Sundays and if the leave entitlement taken by Government of India employees in a year was taken into consideration then they would not be present for more than 174 days in a year. It means that they would take leave every alternate day. Can we really afford this luxury? Or are these decisions political in nature so as to keep the employees happy? While one recognises the need to cele- brate festivals, have a weekly rest and an annual vacation, one cannot lose sight of affordability of these benefits by organisations and the development of the country by keeping resources idle. Work has two components i.e. the prescriptive and the discretionary; it is easy to define the prescriptive component, it is the discretionary component that lies in the grey area. Increased automation helps in reducing if not eliminating the discretionary component. The concept of "Go Slow" / "Work to Rule" is the reflection of the attitude and behaviour pattern of labour in using the discretionary component of work for projecting their point of view. Similarly, allocating "Lower Grade/Skill Work" though "Similar Grade/Skill Work" is available is reflection of the attitude and behaviour pattern of management in using the discretionary component of work for projecting their point of view. The importance of work to the employee is to earn a livelihood and also obtain a role identity within the organisation and the community. Work thus leads to an economic as well as an emotional relationship between the employee and the organisation. Organisations that have built up strong emotional relationship with their employee have had lesser problems on work ethos as well as productivity. Also increasing affluence of society arising out of either a higher remuneration or because husband and wife both are working has brought about a change in attitude towards extra work. This behaviour can be seen when employees today refuse to work extra hours or on weekly/festival holidays even though they are paid extra remuneration for the extra hours of work. At the same time one can see some employees working extra hours not only on normal days but also on weekly/festival holidays without any additional remuneration. This differential behaviour pattern is because of a personal satisfaction in work commitment towards the organisation/profession and at times expectation of career growth so as to achieve something in life and excell. Business Ethics: When we talk about "Work Culture" & "Work Ethos" there is going to be a reawakening of "Business Ethics" and not only labour but also Government, shareholders and consumers are going to question the practices of corporate sector. It is true that major industrialisation in our country only took place after the sixties but I have no reason to believe that managements in industry today are any more ethical or unethical than their fore-fathers in business 50 or 100 years back. But one thing is clear that "Business Ethics" will be talked about more openly and will also be questioned by labour in organisations. Managements will not only have to learn to distinguish between but also learn to answer questions to the satisfaction of labour with reference to the operations being healthy or sick; buying being competitive or incompetitive; executives being capable or incapable; paying taxes or evading taxes; sales being white or black. The grey and dark areas of management will get questioned by labour, because of increasing literacy, rising aspirations, soft corner by Government, liberal interpretation of laws by courts and easy availability of information regarding occurance of dark and grey areas of operations in other organisations. Recently I had opportunity to read Philips Employees' Union's "White Paper On Proposed Sales of Assets and On Prevalent Practices In The Name of Housing In Peico Electronics & Electricals Ltd. Logic of Interest" dated 10th. April, 1989. The same union had earlier also made a presentation to the Company Management on "Fiscal Discipline" and on 29th. May, 1989 the same union did another presentation on "Analysis of Publicity Expenses And Advertising Reaching People Economically". Peico Electronics & Electricals Ltd's profitability has drastically fallen and one can see the changing trends wherein the Union today is not only questioning but also offering some suggestions on what is normally construed as "Management Prerogative". I see a changing trend for the future wherein Unions are going to question managements for their performance, more so when organisations become sick. Also organisations will find it uncomfortable avoiding answering questions and one hopes that the practices of the managements are ethical and not in grey areas. Organisations cannot expect labour to observe cost reduction when managements them- selves indulge in extravagant spending. We cannot ask for high work ethos from labour if the managements itself indulges in visible unethical practices. I do firmly believe that it is a managerial failure if an organisation becomes sick. One of the main job's of management is to see that the organisation not only lives but grows. Michael Josephson of Josephen Institute For the Advancement of Ethics, Los Angeles, USA, writes "Ethical looseness is partly inspired by the deregulatory, anything goes mood of the people convince themselves that a new norm of acceptability applies because of the general atmosphere of corruption". Productivity: Quite often productivity is confused with profitability. Manufacturing organisations that are highly profitable are not necessarily having high productivity, however, organisations having,high productivity are likely to be profitable. The various areas for productivity improvement in an organisation are capital, raw material, land, plant and machinery, product, process, technology, market, labour and management. Improving plant and machinery availability by reducing break downs and having periodic preventive maintenance is part of manufacturing management's work ethics. Ensuring availability of raw material at competitive prices and selling the products profitably is part of commercial management's work ethics. Maintaining fiscal discipline is part of financial management's work ethics. Improving product and process technology is part of R & D management's work ethics. Ensuring productive quantity and quality output of work is a joint act of line management and labour work ethics. Unfortunately, this area gets debated heavily and solutions take a very long time to emerge. Quite often people argue that labour cost varies from 4% to 15% depending upon the industry and the concentration of productivity improvement must be in other areas. The relevant question is not labour cost, but productivity, of labour, if productivity of labour is low it clearly results in lower capacity utilisation of plant and machinery and hence lowering the productivity by an underutilisation of an asset which in most cases is purchased out of borrowed capital from the nationalised banks. Activity sampling studies in the large size manufacturing sector indicate that productivity is low. Our culture on work ethics is poor and presently there is hardly any legislation in the- country that helps in improving productivity of bargainable employees. While we have legislation in terms of maximum working hours per week and minimum paid holidays and leave, the practice varies from one industry to another depending upon historical reasons and the bargaining powers of the unions and management. Also legislation will not be able to solve the problem of work ethics. A tabulation of comparative Study of Productivity of Labour based on studies conducted by Bombay Productivity Council in 25 organisations in Western India as part of the consultancy assignment is given in Annexure I. These studies are over a five year period and are only a reflection of the present state of affairs in Industry. It is easy for everybody to continue status quo rather than bring about change. The impact of continuing to live in the wonderland of low productivity is that the cost of production goes up and if there is competition the survival of the manufacturing unit itself is threatened. Quite a few manufacturing units that enjoyed a sheltered market and did not concentrate on labour productivity because the consumer paid a higher price for shielding and safeguarding low productivity are in problem today. With the development of technology and also entry of new manufacturing units the consumer is not only getting a choice but is able to buy goods at a competitive price. Organisations that have low labour productivity are bound to become sick in the future. Factors That Hinder Productivity Inadequate/poor infrastructure such as power cuts, delays in travel/transport, poor communication systems, delays in governmental approvals, poor quality of education, inadequate medical facilities at ESIS/Civil hospitals, shortage of raw materials are factors which do hinder productivity. In spite of these, the Indian Manager has learnt to live and grow in this environment because change/improvement in these factors will take time. Absence of a stable growing market will hinder productivity. I firmly believe that this is a challenge to the managerial personnel in marketing and companies must ensure that they have a continuity of demand for their products if they want labour productivity to improve. An inefficient and outdated technology coupled with poor maintenance of plant and machinery and use of poor quality raw material will affect productivity badly. Uncontrolled high overtime and built in restrictive work practices by the workmen will hinder any productivity improvement. Low morale, absence of team spirit, among the employees of an organisation will only result in a bad industrial relations environment which will finally affect productivity. Also, absence of a value system for work ethics at all levels will hamper productivity. 10 Over protection of bargainable employees because of the sympathetic attitude of the government, legislation and judiciary. In the name of social justice, maximum damage to productivity has been achieved. This has resulted presently in bargainable employees having very poor work ethics and no fear for perpetuating poor productivity norms. Non-Conventional Approach Behavioural scientists strongly believe that the building of a positive work climate can result in improvement in productivity. A manufacturing man's problem is to ensure that the positive work climate is really positive and not an approach of avoiding to recognise the presence of low productivity of labour, The presence of shop floor problems such as refusal, delay in working on modified/new equipment, process, products by labour is an indication that management needs to invest time and effort to change the work climate and make it positive. Some of the approaches that could be adopted are listed below. However, this is not an exhaustive check list. A continuous monitoring and evaluation of these need to be done to ensure that they are achieving the desired result. Also the involvement of top management is essential for their success. i) Quality Circles/Productivity Circles/Small Group Activity ii) Suggestion Scheme iii) Shop Committees iv) Sports/Drama Club v) Credit Society vi) vii) viii) ix) x) Committees for Religious Celebration Canteen Committee Contest Open Forums Workmen Development Programme In order to make non-conventional approach successful also managerial personnel need training so that they are cost and productivity conscious. They also need to develop skills for ushering in change in a planned manner. They have to develop a desire to retrain their workmen and interact with them, at the same time they need to set a self example on high work ethics. Also managerial personnel need to question deviations, and build a culture of management by walking around (mbwa). Managerial personnel need to develop bias for action in time frame by a good follow up and also have speedy communication (upward and downward). The bargainable employees at the workmen level once recruited cannot be easily retrenched in today's environment even if their peril formance is below par. At least selfish interest forces a major responsibility on management to continuously upgrade the knowledge and skill of the workmen. The development of the bargainable employees will be incomplete until we are able to build them into effective team members for the organisation and understand their responsibility towards their family. The bargainable employee's central focus in most cases is on regularly getting monthly salary so as to combat infla- tion and look after the family while the central focus of the organisation is on surviving and then growing in today's competitive business environment. The approach in training the bargainable employees is to make them visualise that the central focus of the organisation is not in contradiction of the bargainable employees focus. Unfortunately, the task becomes tough because a large number of trade unions in our country have tried to tarnish the image of managements by branding them as exploiters in the economy. Trade Unions in order to build up solidarity and team spirit amongst the union members have over several years built up a negative attitude of the workers towards their management. This attitude can partially be changed by class room training and a face to face dialogue with the bargainable employees. Also a visible genuine concern for bargainable employees by the management would reduce if not eliminate the problems towards improving plant availability and productivity of labour. Conclusion Individual large size manufacturing units will have to find their own solutions of improving work culture and productivity by use of technology, systems and behavioural science. The benefits of apply- ing some non-conventional approaches to productivity improvement is that a positive work climate can be developed and the employees visualise themselves as members of a team and put in honest efforts to achieve the desired goal. A challenging task ahead is not only to make bargainable employees members of the team, but also to ensure that managerial personnel continue to work as a team. Quite often executives in their enthusiasm to excel start competing with each other for the up-man-ship and forget that they are all members of a team supposed to work for achieving the organisational goal. The process of organisational change for improving work ethos is never as neat and tidy as it appears on paper, it involves overcoming hurdles and obstacles which may come from Union Leaders, workmen and at times from managers. Bibliography Jeffrey Gandz, "Ethics Comes Out of The Closet", Business Quarterly, School of Business Admn., Univ. of Ontario, Canada, Autumn 1988, Vol. 53, No. 2. 12 Mali Paul, "Improving Total Productivity", John Wiley and Sons, New York, 1978. Me Farland D.E, "Management & Society - An Instructional Framework". Prentice Hall, 1982. Mehrotra Rajen, "Improving Productivity and Work Commitment", ILO/CIE National Conference on Improving Productivity & Work Commitment, lOa and 11 Sept. 1987, Bombay. Mehrotra Rajen, "Work Ethics and Productivity", Conference On Work Ethics, Cffi, 20 and 21 Jan. 1989, Bombay. Mundel Marvin E, "Improving Productivity and Effectiveness", Prentice Hall Inc., New Jersey, 1983. Naydamma Y, "Factors which Hinder or Help Productivity Improvement In the Asian Region", APO, Tokyo, 1980. Ovid P.J., "New Cultures For Managers And Workers", ACHIEVE, Journal of Bombay Productivity Council, April-June, 89. Smith I.G., "The Measurement of Productivity".Gower Press, U.K. 1973. Sumanth D.J., "Productivity Engineering and Management", McGrawHill Book Company, New York, 1985. Singh B.K. "Improving Productivity and Work Commitment - Theme Paper", ILO/CIE National Conference on Improving Productivity & Work Commitment, 10 & 11 Sept. 1987, Bombay. Silvera D.M. "Human Resource Development, The Indian Experience", Newsindia Publications, New Delhi, 1988. 13 ANNEXURE1 COMPARATIVE STUDY OF PRODUCTIVITY OF LABOUR (All figures in %) Type of Company Dept. 1 Dept 2 Overall Dept. 4 Dept. 3 Name Eff. Name Eff. Name Eff. Name Eff.Eff. 1. Petroleum Co. Bulk Delivery Section 73 Operation 42 Maintenance 62 Stores 31 46 2. Ship Yard Ship Building 26 Ship Repair 21 Maintenance 24 Paint Shop 35 27 3. Steel Mfg. Unit Furnace 48 Rolling Mill 85 Maintenance 60 Delivery Section 55 52 4. Automobile Battery Unit Plates Mfg 36 Assembly 42 Charging 28 Testing 31 34 5. Material Handling Eqpt. Co. Machine Shop 48 Assembly 45 Testing 32 Packing 60 42 6. Carbon Black Mfg. Unit Operations 43 Packing 58 Maintenance 47 Material Handling 51 48 7. Rayon Mfg. Unit Viscose 38 Spinning 30 Textile 68 Packing 54 39 8. Civil Engg. Structural Machine Shop 41 Welding 36 Assembly 51 Paint Shop 29 40 Dept 1 Type of Company Dept 2 Dept 4 Dept 3 Overall Name Eff Name Eff Name Eff Name Eff Eff Basic Mfg 40 Tableting 33 Maintenance 36 Packing 52 37 Manufacturing 32 Packing 49 - - - - 35 11 Cable Manufacturing Co Coiling 52 Winding 46 Packing 51 - - 49 12 Machine Shop 46 Inspection Testing 46 Painting 33 Assembly 37 39 9 Pharmaceutical Unit 10 Gum Manufacturing Co Light Engineering Co 13 Machinery Mfg Co Pre-fabn cation 38 Fabrication 40 Glass Lining 41 Assembly 44 42 14 Pipe Mfg Co (Engg Unit) Machining 48 Welding 38 Inspection 69 Testing 64 61 15 Engg Co Machine Shop 47 Assembly 41 - - - - 42 16 Pharmaceutical Unit Manufacturing 49 Packing 58 - - - - 52 17 Electronic Unit PCB 68 Machine Shop 53 Fabrication 36 Assembly 54 56 18 Container Mfg Unit Machine Shop 46 Assembly 13 Shot blasting 62 Painting 58 48 Dept. 1 Type of Company Dept. 3 Dept 2 Dept 4 Overall Name Eff Name Eff. Name Eff. Name Eff Eff 19. Pharmaceutical Unit Chemicals 48 Tablets Making 62 Packing 53 - - 54 20. Cosmetics Co. Shampoo 63 Lipsticks 78 Creme 69 Powder 73 70 21. Textile Mill Dyeing 38 Printing 41 Finishing 43 Packing 40 22. Tubes Mfg Unit Production 59 Maintenance 41 Inspection 56 - - 53 23. Hoists Mfg. Unit Machine 64 Assembly 52 Painting 56 Packing 46 46 58 24. Engg Unit Machine Shop 50 Assembly 46 Testing 41 - - 46 25. Car Repairing Unit Servicing 68 Repairs 43 Painting 51 Testing 56 56 49 Biodata Dr. R.P. Mohanty is currently a Professor at National Industitute for Training in Industrial Engineering (N1TIE), Bombay, India. Previously he was a visiting Professor in the Division of Industrial Engineering and Management at Asian Institute of Technology, Bangkok. He was Head of Production Management Department as well as Dean of Research Programmes at National Institute for Training in Industrial Engineering (NITIE). He was also the National Chairman of Indian Institution of Industrial Engineering. He has very wide ranging experiences in education, management development, research, consultancies in both government and industries. He has published more than 120 papers in various reputed international journals and has also completed some national level research projects. He has received 'National Awards' for his outstanding constribution in the field of industrial engineering and management. He has also chaired in several international connferences. PLANNING FOR PRODUCTIVITY: DISCUSSION ON A CASE EXAMPLE By Professor B.R Mohanty INTRODUCTION The case study presented in Appendix-1 is a real-life situation experienced by the author during his study of an organisation in India. The company is a Private limited organisation manufacturing a variety of engineering products, medium in scale of operations and catering mostly to the domestic markets. The company started off very well, but in mid 80's, it began experiencing problems which are described in a summary form in the case example. The author has used this case study in some of his management development programmes, and recently, in a 'LONG PRODUCTIVITY COURSE' for the India Oil Corporation. This large corporation is one of the excellently managed organisation in the Public Sector and has a market share of 70% or more. The company has a highly professionalised management cadre and a very dedicated technostructure. The participants involved in the discussion of the case study include executives with engineering background and having 5 to 10 years of experience in various functional areas of management. The objective of the exercise was to develop simulated experience and learn the complex dynamics of productivity management. The discussions were very participative, interactive and stimulating. Therefore, the author has made an attempt here to present the synopsis of their findings for the benefits of management professionals. Some of the references used for making this discussion are presented in reference section. However, the author provided the following basic guidelines for discussion in the class room;- Description of the situation and constructing a rich picture. - Assessment of the situation by stretching the imagination and developing a conceptual style to embrace intricacies of the situation. 18 - Casual analysis of the situation and explanation by eliminating unrealistic experiences. - Projecting the future by developing a flexible organisation structure and integration instruments. SITUATION ANALYSIS The Chairman of ABC Co. Ltd., appointed Mr. Venkatraman to evolve and implement productivity improvement programmes in the company. Mr, Venkatraman could not muster enough support from the line managers in implementing the ideas and procedures evolved by him in direct consultation with the Chairman. The productivity of the company had steadily decreased over the last 3 years, with adverse implications on all the key parameters like profitability, pro- duction, employee-morale etc. At the insistence of the Plant Manager (Mr. Agarwal), the Chairman agreed to a meeting of Managers to evolve a suitable plan of actions for the future. The objective of the meeting was to provide an answer to a simple question: where to go from now? In Table 1, a synoptic analysis of the situation is presented. Some key parameters are taken for assessment. Preferences and judgments are exercised to establish the trends based upon whatever factual information the case provides. Some of the preliminary questions were raised in the case example. They are presented as follows:Sr. No. Question Answer 1. Is the Chairman right in The Chairman is right in involving Mr. Venkatraman in formulating the Productivity improvement selecting Mr. Venkatraman in view of his wide experience and expertise in the field programmes? of Plant Engineering functions. Is Mr. Venkatraman Mr. Venkatraman is competent to handle the productivity affairs, because he possesses 2. competent to handle the productivity affairs? the requisite personal attributes i.e. persuassiveness, willingness to work hard and the necessary technical skills. 3. What are the basic The bottlenecks to 19 bottlenecks to productivity drive? productivity drives are:- (i) Improper management of change. (ii) Lack of involvement of managers in the process. (iii) Absence of communication channels between the various management levels. (iv) Low morale of the workforce, (v) Absence of a system to share the gains of productivity. 4. How do you suggest to organise for driving up Productivity? The suggestions are presented in the subsequent sections. CAUSE - EFFECT ANALYSIS The cause-effect relationship of various attributes are presented in Table 2. In an ideal organisation, the sub-systems represented in Fig. 1 should aim at functioning in perfect harmony for attainment of corporate objectives such as profit, growth and survival. Line activities are normally performed by the techno-structure and operating-core. Support-structure carries out staff functions to assist the line management. The diverse pulls and pushed from various sub-systems and from environments give rise to conflicts and discords, which if moulded properly, may lead to the healthy growth of an organization. Free flow of communication among the various sub-systems is an important pre-requisite for successful attainment of corporate objectives. In the present case, there is no free flow of communication between support structure and other sub-systems. The strategic apex, carries out policy formulation tasks and direct down below. The techno-structure and operating core are not engaged jointly to implement the productivity plans. Rather, it has been assigned to MR. VENKATRAMAN, who is a manager in the support structure. The various natural pulls among the sub-systems are therefore leading to conflicts which are barriers to productivity drives. In summary, it can be said 20 that Mr. Venkatrdman through the Chairman of the company has not been able to eventuate a rythm, a tone and above all a harmony in the total productivity management set-up. SOLUTIONS ENVISAGED The solution strategies have been conceptualised as per the following guidelines: (i) Global manner of perceiving as opposed to the micro-level analytic approaches, (ii) In Corpprating new ideas with experiential memories by holding on to the factual premises of the case. A. DEFINE - OBJECTIVES AND STRATEGIES FOR THE ORGANISATION (i) OBJECTIVES TO INCREASE PRODUCTIVITY through the development and formulation of a five year productivity improvement programme. (ii) STRATEGIES Long Terms strategies a) Scientific forecast of demands. b) Evolution of a scientific pricing policy for the products. c) Identification of technological requirements in line with the market requirements. d) Introduction of human resource development programmes. e) Modernisation of plant and equipment, Medium Term strategies a) Introduction of incentive schemes by designing through productivity measurement systems for employees at all levels. 21 b) c) Improvement in working environment by creating a culture conductive to change through management by examples or management by ideologies. Standardisation of systems and procedures to discard adhocracy in decision making. Short Term strategies B) a) Development of a proper communication channel between various levels of management and work groups. b) Introduction of productivity improvement techniques by educating the workers and supervisors. ORGANISATION STRUCTURE The organisation structure presented in Fig. 2 is suggested to achieve the above objective and implement the strategies: C) ROLE OF THE RESPONSIBILITY CENTRES: The role of each responsibility centre is briefly mentioned in Table 3. D) COMMUNICATION SYSTEM A proper communication system has to be designed during the following three phases: (a) (b) (c) Productivity Formulation Phase Productivity Implementation Phase Productivity review and Maintenance Phase The communication requirements during the above three phases could be categorised in terms of various channels as given in Table 4. E) CONSTITUTION OF COMMITTEES As suggested in the organisation structure. Constitution of the various committees for implementation of the Productivity programmes is described in Table 5. 22 F) IMPLEMENTATION GUIDELINES A detailed schedule for the implementation of the action Plans maybe as follows:[i) While long term strategies will be formulated by work consultative committee, the translation of strategies to detailed action plans and their implementation will rest upon productivity working team. (ii) Detailed action plans for the strategies formulated are presented in Table 6. CONCLUSION Success or failure of any system largely depends on the initiatives and enthusiasm of the human elements constituting the organisation. However, to manage the complex process of productivity affairs of an organisation, one needs to develop a concept of management by ideology rather than the styles such as, management by objectives or management by information. Such styles are necessary but may not be suffi- cient. These are only instruments for organisation. Management by ideology is workable provided the following premises are built: - Superordinate organisational missions Long term strategic objectives - A two-way communication system - Consultative decision making culture The case study has been analysed with these motives in mind to develop and perpetuate a culture of management by ideology. ACKNOWLEDGEMENTS The author gratefully acknowledge the Indian Oil Corporation, particularly to Mr. Bakshi, Director of Marketing, Mr. MGK Masud, Deputy General Manager of Management Services Dept. and others in the Training Department of the company. Deep sense of appreciation is expressed to those beloved participants of Indian Oil Corporation who deliberated and spent some fruitful time to discuss the case example. APPENDIX-1 Planning for Productivity: A Case Example Three years ago, the Chairman cum Managing Director of ABC Ltd. began implementation of a five-year productivity improvement 23 plan. As part of the productivity improvement programme, the Chairman recruited Mr. Venkatraman as a Special Assistant and positioned him in the plant operations department under Plant Manager Mr. Agrawal, but reporting directly to Chairman. Venkatraman had a very wide range of operating experiences in many plant engineering functions; though not diplomatic, he was very persuasive and hard working. By now things were moving, but not everyone agreed on the direction. Mr. Venkatraman and the Chairman cum M.D. seemed to be spending most of their time convincing each other that the organisation was on the verge of a great era and that the current economic and political situations demand that the business and organisational conditions should be stabilised before further take-off. In contrast other managers in the organisations were sceptical about such comments and were considering productivity improvement plans as the designs of those two persons namely, the M.D. and Venkatraman. The past three years have been characterised in the following way: Three years ago: Production output was high, demand was very strong, prices were low, profits were marginal. Employment level was at 250, receiving average wages and reasonably content; no job descriptions or standards were in use; employees were nonunionised. Two years ago: production output, prices, profits were all higher than the previous year. Employment level increased up to 350; some junior managers left the company and some new ones were recruited. Work standards were formulated in some departments, but not implemented. One year ago: Production outputs began to level off, but prices climbed higher and profits held up fairly well. Some portions of the plant were modernised. Employment level was 350; but employees complained of being bored with their work, and others began to resist the pressures for more output. Unionised efforts were under full activity, labour standards were difficult to implement. To-day Production outputs have fallen down. Input costs have grow higher, prices of the products are stable. Demands stills continues to rise. Profit figures have fallen. Employment level has remained at 350. Complaints about the work methods, safety programmes, fringe benefits were gradually mounting up. At the request of the Plant Manager Mr. Agrawal, the M.D. agreed 24 to conduct a senior-level meeting to review the situations. How do you organise the discussion? Answer the following questions? 1. 2. Was the Chairman right in involving Mr. Venkatraman in formulating the productivity improvement programme? Was Mr. Venkatraman competent to handle the productivity affairs. 3. What are the basic bottlenecks to productivity drive? 4. How would you suggest organising the drive for productivity improvement? REFERENCES 1. Mohanty, R.P.; Lecture Notes on Productivity Management. 2. Mohanty, R.P.; Primary Tasks and Root Definitions for Action Research in Productivity - This paper was presented at the International Productivity Congress, Bombay, Feb. 1983. 3. Mohanty, R.P.; Consensus and Conflicts in Conceiving Productivity, Malaysian Productivity Journal, Vol. 3, Jan., 1987. 4. Riggs, J.L.; Productivity by Objectives, Prentice Hall, New York, 1986. 25 Table 1: SITUATION ANALYSIS ATTRIBUTES YEAR PRODUCTION OUTPUT DEMAND PRICE PROFITS EMPLOYMENT WAGES STANDARDISATION HIGH STRONG LOW MARGINAL 250 AVERAGE NOT EXISTING EMPLOYEE MODERN UNION a 3 YEARS BACK HIGHER _ HIGHER HIGHER 350 _ 1 YEAR BACK REDUCED _ HIGHER HIGHER 350 _ PRESENT POSITION FURTHER REDUCED 2 YEARS BACK INCREASING STABLE (-) DENOTES UNFAVOURABLE TREND (+) DENOTES FA VOURABLE TREND LOWER 350 PRESSURE FOR MORE WAGES STANDING DEFINED IN SO ME DEPTS. DIFFICULTY FACED IN IMPLEMENTATION - _ _ INCRESED - _ - SOME RETURN OF PLANT MODERN- NOT EXISTING - ACTIVE - TABLE 2 : CAUSE - EFFECT ANALYSIS Effect 1. Reduction in Output Cause (i) Discontentment among the Managers and workers due to complaints on wages, working methods, safety programs etc. (ii) Lack of experience and skills on the part of the work force. (iii) Unionised activities are growing and resulting in making the organisation more grievance-oriented. Demand increment (iv) Increasing employee turnover. (v) Lack of involvement of people in the process of management. Due to external factors relating to economic conditions and market mechanisms. Price stability (although demand is increasing) (i) Lack of a rational pricing policy of the company. (ii) Price increase may not be sustained by the market. (iii) (iv) Manpower Strength has increased by 40%. Capital cost has increased due to modernisation. (v) 4. * Declining Profits Reduction in output with prices remaining stable. Input costs have gone up particularly in the form of material cost. 5. Increase of Manpower (i) Over-optimism of the Chairman regarding expension programmes. 27 Table 2 (Contd.) Cause Effect (ii) Lack of a rational assessment for the requirements of manpower. 6. Pressure for increase (i) in salaries and wages Principle of work justice has not been applied in evolving wage structure. Further, profit sharing plans or incentive schemes do not exist. (ii) Evolution of the union has lead to forceful collective bargaining power. 7. Failure to introduce (i) Lack of systematic work study job standard sprogrammes and their implementation. 8. Employee-turnover (i) Lack of motivation (ii) Lack of involvement of the employees in the decision making process. (iii) 9. 10. Modernisation Unionised Activity Inadequate job-contentment (i) Need and potential for growth (ii) To increase productivity (i) Need for collective bargaining (ii) Culminating effect of changes, feeling of indifference between workers and the management. 28 Table 3 : ROLE OF RESPONSIBILITY CENTRE RESPONSIBILITY CENTRE 1. Shop Councils FUNCTIONS AND RESPONSIBILITIES (a) To act as intermediary among the workers, productive coordinator, productivity coordinating committee. (b) To synthesise the activities of work with the corporate policies enunciated by productivity coordination committee, 2. Supervisors (a) To act as a vital link between workers and the line management in the process of implementation of productivity improvement techniques by motivating the workforce, and by tracking productivity programmes. 3. Productivity Co-ordinal or (a) To collect data and information relevant to productivity improvement programmes, analyse them and formulate action plans for the use of the productivity coordination committee and work consultative council. 4. Productivity Co-ordinating Committee (a) To make frequent interactions with the work consultative committee, productivity coordinator, shop councils to evaluate the productivity improvement proposals during the phase of formulation. (b) To act as an effective agency to evolve the workable plans so as to percolate them to all 5. Works Consultative (a) 29 levels. To examine productivity Table 3 (Contd.) RESPONSIBILITY CENTRE FUNCTIONS AND RESPONSIBILITIES Committee management policies and creat a conducive climate to bring about quantum jumps in productivity through an interactive process based on mutual-trust and on the principles of work justice for all. 6. Productivity (a) To act as the custodian of productivity management process and to be instrumental in active implementation and monitoring of the productivity improvement programmes. Table 4 : COMMUNICATION SYSTEM Sr. No. Phase Co minimic ation Requirement 1. Feed-forward (F/F) F/F - Information inputs and feed-within from outside environment, (F/W) economic, technological, social and political. Formulation Communication Channel F/W - Information relating to the influences of proposed changes within the organisation from the techno-structure, operating core and the support structure. 2. Implementation Feed-Within 30 F/W - (i) The nucletts of the information channel will be the Productivity Co-ordination Committee. Table 4 (Contd.) Sr. No. Phase Communic ation Requirement Communication Channel (ii) Actual impact of changes within the organisation at all levels and resultant communication to correct negative effects. The communication should mainly centre around the middle level linemanagement. 3. Maintenance & Review F/B - Feed backs on Feed-Back (F/B) impact of final changes introduced from supervisors and workers to productivity co-ordination committee and to the apex body for review and rewards. Table 5 : CONSTITUTION OF COMMITTEES Committee Members Work Consultative Headed by CMD. Members are Senior Level Managers Committee and the representatives of the shop councils. Frequency of Meetings Quarterly Productivity Co-ordination Headed by the General Manager (Operation). Members are all the line Managers. Productivity Co-ordinator as the Secretary of this Committee. Monthly Productivity Working Team Headed by CMD with all Senior Managers as Monthly 31 members 4. Represented by elected members of the trade Union and supervisors as opinion Shop Council Weekly leaders. Constitutes like managers Downline Management Weekly responsible for on-the-job implementation. Table 6: ACTION PLANS Strategy Functional Team Action Plan responsible [i) LONG TERM Scientific Evolve a computerised forecasting system Marketing/Production Pricing Policy evolution Study sensitivity of Production/Marketing/ Finance Technological Requirements in line with the market requirements Technological scanning, feasibility analysis, cost-benefit analysis. Production/Finance Introduction Job enrichment, redeployment, job Personnel/Production Demand forecast of human Pricing to demand and develop a pricing model resource development programmes rotation. Improvement Modernisation and Standardisation (a) in working environment, training, counselling, design of reward systems Replacement of old, obsolete equipments Production/Management Services with automated systems. (b) Work standards be made by work study techniques. Manualisation of detailed job descriptions 32 Production/Personnel/ Management services Table 6 (Contd.) Action Plan Functional Team Productivity linked incentive policy Productivity parameters related to labour should be identified and a detailed weightage based formula can be evolved. Management services/ Production/Personnel Improvement in work environment Work environment should be designed in principle with human engineering Production/Management Strategy responsible ii) MEDIUM TERM Services (iii) SHORT TERM Development proper channel of communication Formal communication Management Services channels should be developed in line with those suggested in communication systems. Informal communications should be encouraged through participative Production/Personnel approach. Crystalise the organisational Role analysis and Goal setting, and Management of Productivity by objectives. Personnel/Management Services/Production Different contemporary productivity techniques be Management services/ Production structure Introduction of modern productivity evaluated and applied improvement based on their stability. techniques 33 STRATEGIC APEX TECHNOSTRUCTURE SUPPORT STRUCTURE OPERATING CORE FIG. 1 AN ORGANISATION STRUCTURE 34 PRODUCTIVITY WORKING TEAM CONSULTATIVE COMMITTEE PRODUCTIVITY COORDINATION GROUP DOWNLINE MANAGEMENT PRODUCTIVITY CO ORDINATOR ACTION PLANS, PROGRAMMES FOR IMPLEMENTATION WORK GROUPS FIG. nnnnnnn nnnn 2 SUGGESTED ORGANISATIONS STRUCTURE 35 Biodata Name : Dr. Nasuddin b. Othman Date of Birth : Place of Birth : Muar, Johore 19.2.1951 Education: 1. Muar High School 2. Diploma In Planting Industry and Management (ITM) - 1972 3. M. Sc. (Agriculture Development) - Ghent, Belgium (1983) 4. Ph.D. - University of Stirling, Scotland (1987 - 1990) Occupation: Senior Lecturer and Principal of ITM Cawangan Pahang THE DETERMINANTS AND ALLOCATIVE EFFICIENCY OF COCOA PRODUCTION IN WEST MALAYSIA By DE. NASUDDINB. OTHMAN ABSTRACT The principal objectives of this study are to identify the production factors that determine cocoa production and to evaluate the efficiency of Malaysian cocoa smallholders in allocating the resources available to them. Cross-sectional data collected from 260 cocoa smallholders were used for the study. The average production function estimated by the Ordinary Least Squares techniques was employed in the analy- sis. The results indicated that farmer's age, land size, labour, fertilisers, farm implements, extension contact, living capital, farmer's education and farm records and accounts were the main determinants of cocoa production. The study also established the fact that the cocoa smallholders were highly inefficient allocatively. INTRODUCTION In spite of the dominant role agriculture plays in the overall economic development of the country mainly through its contribution to the Gross Domestic Product, employment and foreign exchange earnings, this sector is still beset with the problem of low agricultural productivity in the production of major export crops (rubber, oil palm and cocoa) at the smallholder's level (Information Malaysia Yearbook, 1989). As for cocoa although this crop is the third major export crop in the country, at the farm level production per hectare from the smallholders is relatively low averaging about 400 to 600 kg of dried beans per hectare as compared to the about 1000 to 2500 kg from the plantation sector (Economic Report, 1988/1989). It has been observed that in spite of all the various efforts undertaken by the government in recent years such as the provision of extension and credit facilities, there seems to have been not much change in the productivity status of this group of producers. Persistent low productivity would be detrimental to the government's objective of eradicating poverty and achieving an equitable dis37 tribution of wealth among its population. Thus if agriculture was to play a more important role in the development programmes in Malaysia, increasing attention should also be given to the strategy of increasing cocoa productivity. There are actually several factors which lead to the farmers to produce below their potential. Among them is the presence of either allocative inefficiency and or technical inefficiencies. This study however, concentrates on the question of allocative efficiency and at the same time attempts to identify the production factors that determine cocoa productivity at the farm level. It is hoped that the new information generated could be utilised to improve the productive capacity of the existing farms as well as the new cocoa areas which the government wish to develop at the rate of 20000 hectares annually. PRODUCTION FUNCTION USED IN THE ANALYSIS Average production functions are used in this analysis. The Cobb-Douglas form of production function was chosen as the basis of the analysis in this study mainly on a priori grounds connected with the logic of production, its attractive economic theory properties and its statistical manageability. The estimated farm production function used in its logarithmic form is written as: log Y = log a0 + aj log X t +.....+ a8 log X8 + b^ +.....+ b 1Q D 10 + u Where log Y = log of expected income from cocoa and coconut (measured in terms of Malaysian $) log Xj = log of age of farmers (in years) logX 2 = log of land size (acres) log X3 = log of labour (man-days) log X4 = log of services from farm implements (Malaysian $) log X5 = log of extension contact (number of contacts per year) log X6 = log of chemical cost comprising cost of weedicide and pesticide (Malaysian $) log X7 = log of fertiliser cost (Malaysian $) log X8 = log of living capital comprising cocoa and coconuts (Malaysian $) 38 D-i D2 = Region Teluk Baru = Region Bagan Datoh D3 D4 D5 = Region Rungkup = Region Hutan Melintang = Soil-Selangor Series D6 D7 = Soil-Kangkong Series = Educational Level of Farmers D8 = Educational Level of Spouses D9 D10 = Educational level of Children = Farm Records and Accounts Cross-sectional data collected from 260 cocoa smallholders from the region of Hilir Perak which is considered as one of the largest cocoa growing areas of the country were used for the study. The data gathered were confined to the calendar year 1988. A number of regression models were estimated by using the Ordinary Least Squares regression technique and all the variables except the dummies were transformed into the logarithmic form to the base e. To obtain regression models that were meaningful and interpretable for the problem under investigation, a number of computer runs were undertaken. In each run, minor modifications were made on the regression equations based on the inclusion of different sets of independent variables. Initially, the following variables, namely; credit, farming experience, maintenance and harvesting labour, pesticides and weedicides were supposed to be incorporated into this analysis. Based on the data collected, only three farmers were reported to take credit for the production of cocoa under coconut. Owing to their small number, this input was, therefore, not included in the analysis. Farming experience is normally associated with the age of the farmers. Because of the inconsistencies in the results, farming experience was dropped from the main equation, Similarly, the splitting of labour into maintenance and harvesting labour also produced inconsistencies in the results obtained. Thus, it was decided that these two types of labour should be aggregated into one variable, that is, total labour. The same principle also applies in the case of weedicides and pesticides, where they were grouped into one input,' namely, chemicals, in this analysis. As regard to the dummy variables that were included in the production function analysis, the rule which was applied was to drop one variable less than the number of values of the original variable. Otherwise, the Ordinary Least Squares technique would breakdown because of the perfect collinearity between the intercept and all the dummy groups. In this study, the regional dummy, Hutan Melintang (D4) was dropped from the analysis. This dropped dummy is mea39 sured as a norm and coefficients of other regional dummies measure the shift from this normal level. STATISTICAL RESULTS AND INTERPRETATION From the results (see Table 1.1) the adjusted coefficient of multiple determination (that is the R square) obtained was 0.8680, which means that approximately, 87 per cent of the variation in the depen- dent variable could be explained by the variation in the independent variables included in the analysis. Thirteen per cent of the variation might be due partly to input factors which were not being taken into account such as climatic factors and quality differentials. From the examination of the correlation coefficients it was shown that land size was highly correlated with living capital (r = 0.91) and labour (r = 0.85). Such a high value of the bivariate relationship according to Heady and Dillon (1966) indicated the presence of multicollinearity among the explanatory variables. The pertinent question that arises is the extent or the 'degree' of multicollinearity that is acceptable in the analysis. Until now no consensus has been reached regarding this issue (Thomas, 1985). TABLE l.l: OVERALL PRODUCTION FUNCTION STATISTICS FOR THE ENTIRE SURVEY AREA INPUTS REGRESSION (R,) PARAMETERS Constant Farmers' age Land size Labour Farm Implements Extension contact Chemicals Fertilisers Living Capital Region Teluk Baru Region Bagan Datoh Region Rungkup Soil-Kangkong Series Farmer's Education Spouse's Education Children's Education Farm Records/Accounts Adjusted R square F - Statistic D - W Statistic No. of Cases 4.8918*** -0.1190* 0.5091*"* 0.1481*** 0.0092* 0.0057* 0.0032 0.0167*** 0.2207*** 0.0029 -0.0043 0.0331 0.0120 0.1399*" -0.0418 -0.0087 0.1139** ao ai a2 a 3 84 a 5 36 a? as bi b2 b3 be b7 be b9 b io 0.8680 105.39*** 1.95 260 # Figure in brackets are the standard errors. Level of significance: * 10 per cent, * * 5 per cent *** 1 percent 40 (0.5300)* (0.0697) (0.0779) (0.0526) (0.0050) (0.0032) (0.0021) (0.0029) (0.0585) (0.0880) (0.0656) (0.0399) (0.0708) (0.0699) (0.0628) (0.0326) (0.0546) Klein (1962) suggested that multicollinearity was not a problem for prediction if rij<R where R is the square root of the coefficient of multiple determi- nation and r,j is the correlation between Xj and Xj where i = 1 ....k. Applying this method, the outcomes obtained showed that for land and living capital, R value of 0.8947 was less than the value of the sample correlation of 0,907, thus indicating that the degree of multicollinearity was quite severe. On the other hand, for land and labour, the situation is reverse since the R value of 0.9022 was higher than the sample correlation of 0.849. The same also applies in the case of labour and living capital where the R value (0.8958) was higher than the value of r (0.777). To reduce the problem of multicollinearity in this study, it was therefore, decided that living capital should be expressed on a per acre basis. From the correlation coefficients all the bivariate relationships were below 0.8 indicating the absence of multicollinearity among the variables. Further, the results obtained in Table 1.2 are similar to Table 1.1 in terms of the level of significance of the run on explanatory variables, as well as the value of the adjusted R square. Only the magnitude of land size differed. From the result it was indicated that farmers' age had a significant and negative relationship with expected income. The plausible explanation is that older farmers in this area might find difficulties in coping with the latest technology in cocoa farming compared to younger farmers who tend to make better decisions concerning their farming operations because of their access to knowledge about cocoa production through the various sources available. Spouse's education did not contribute significantly towards expected income analysis. The plausible explanation is that since the husbands were more dominant in the decision making process, it appeared that although the spouses might possess the necessary technical knowledge, they were not able to influence their husbands to be more innovative and receptive towards modern farm practices. In this study, it seemed that formal education of the children did not contribute significantly to expected income. From the survey, it was found that the farmers rarely involved their children in their farming operations. This probably could be attributed either to a lack of interest on the part of the children to be involved in cocoa farming or might be because of the positive attitude that farmers had towards their children's education that encouraged them to study and excell 41 TABLE 1.2: OVERALL PRODUCTION FUNCTION STATISTICS FOR THE ENTIRE SURVEY AREA (AFTER REDUCING THE MULTICOLLINEARITY PROBLEM) INPUTS Constant Farmer's age Land size Labour Farm Implements Extension contact Chemicals Fertilisers Living Capital Region Teluk Baru Region Bagan Datoh Region Rungkup Soil-Kangkong Series Farmer's Education Spouse's Education Children's Education Farm Records/ Accounts Adjusted R square F - Statistic D - W Statistic No. of Cases PARAMETERS REGRESSION (R) 4.8918*** -0.1190* 0.8779*** 0.1481*** 0.0092* 0.0057* 0.003Z 0.0167*** 0.2207*** 0.0029 -0.0043 0.0331 0.0120 0.1399" -0.0418 -0.0087 0.1139*' ao a i 32 as 34 as % a7 ae bi b2 b3 be D7 be b9 b io (0.5300)# (0.0697) (0.0299) (0.0526) (0.0050) (0.0032) (0.0021) (0.0029) (0.0585) (0.0880) (0.0656) (0.0399) (0.0708) (0.0699) (0.0628) (0.0326) (0.0546) 0.8680 105.39*** 1.95 260 # Figure in brackets are the standard errors. Level of significance: * 10 percent, ** 5 percent *** 1 percent for the pursuit of other more lucrative professions. Under such circumstances, it was logical to find that children's education did not have a significant impact on cocoa production. Regional influence did not contribute significantly to the income obtained as none of the regional dummies were significant in this analysis. Perhaps the underlying factor why there was no significant difference among the regions was because of the fact that all the regions concerned produced the same type of crops and used similar technology for crop production. Soil type as an input was also found not to be significant in this study. In this survey area, the two types of soil that were being extensively used for cocoa and coconut production were the Kangkong and Selangor series which were predominantly marine clay. According to Kee (1967) this marine clay had been found to be the richest soil in the country in terms of its nutrient status. However, exhaustive use of the soil due to long period of cultivation might deplete the nutrient contents available. 42 From the correlation coefficient, it was found that D (Kangkong Series) had a positive significant association with fertiliser and this was probably one of the reasons why it did not contribute significant- ly to the production of cocoa since its influence has been 'blurred' by fertilisers which was statistically significant in the estimated function. During the reference period, there was no major insect infestation and most of the farmers did not apply any insecticides for control measures. Those who applied it used only a small amount. Such a quantum of course, would have a negligible effect on cocoa production. The same applies in the case of weedicides where, on the average only about 1.5 litres were used for every acre annually. Hence the low quantity of chemicals applied was too small to cause any variation in the production of cocoa. Another possibility was that the lack of technical knowledge among older farmers might result in improper application techniques. Thus from this analysis the inputs that were found to have significant influence on expected income were the farmer's age, land size, labour, fertilisers, farm implements, extension contact, living capital, farmer's education and farm records and accounts. COMPARISON WITH OTHER INTERNATIONAL STUDIES Comparison with other cocoa production function studies which have been undertaken by other research workers at the international level was hampered due to the differences in the specification of the variables adopted. As such in this section concentration was given only to those variables which had been treated individually in these studies. For land size as an input, the finding from the present study corresponds to the outcomes with all the previous investigations that were conducted by De Souza Menezes et al (1974), Thirtle (1984) and Boateng (1982) except in the case that was carried out by Costa and Reiss (1982), where this input was not statistically significant. In the case of labour, the result from the present research is in accord with the findings undertaken by Costa and Reiss (1982), De Souza Menezes et al (1974) and Thirtle (1984). Finally, as for farmer's age, only Boateng (1982), incorporated this input in his production function study. He, however, indicated that this production factor was not statistically significant in the analysis conducted. This result, therefore, differs from the present finding. 43 ALLOCATIVE EFFICIENCY In the analysis made, only the essential inputs comprising land size, fertilisers, labour, living capital and farm implements which were significant in the model were chosen and non-significant inputs were left out as they had no impact on the expected income (Knenta, 1971: Koutsoyiannis, 1977). These significant factors of production were then regressed onto the dependent variable and the new estimates obtained are shown in Table 1.3. From the regression model as depicted in the table 1.3 all the elasticities as reflected by the values of the regression coefficients, were less than unity which gave an indication that diminishing marginal returns to each of the input factor: holding each of the inputs constant, the marginal return of each input will decrease the more that factor is used. This conclusion is vital in the economic analyses for it indicates the first condition for the optimum use of resources. RETURNS TO RESOURCES From the estimated elasticities we can obtain a set of estimated marginal productivities. The Cobb-Douglass production function is very convenient for calculating these values, especially, when the variables are measured in value flows. Because of the multiplicative nature of the production function used in this study, the estimated marginal revenue products were calculated at the geometric means of the variables and consequently related to the average farm. TABLE 1.3: PRODUCTION FUNCTION STATISTICS - EFFECTS OF THE SIGNIFICANT INPUTS ___ INPUTS POOLED DATA 4.3267* 0.9289" * 0.0091* * Constant Land Size Farm Implements Fertilisers Labour 0.0213* 0.1301* 0.2452* Living Capital /acre Adjusted R Square F-Statistic D - W Statistic No. of Cases 0.8601 319.38*** 1.81 260 Ib 1.33 Figure in brackets are the standard errors. Level of significance: * 10 per cent, * * 5 per cent **" 1 per cent 44 (0.4436)# (0.0283) (0.0048) (0.0025) (0.0523) (0.0572) Strictly speaking, allocative efficiency exists if there is a situa- tion of perfect competition. The latter implies price taking behaviour and perfect markets which are characterised by perfect communication, instantaneous equilibrium and costless transactions (Pasour, 1981). In this area, while factors market tend towards partial competition, the capital market for land was relatively much less perfect. Under such a situation, the factor share had also to depend upon the demand elasticity of output and the supply elasticity of the input. Yotopoulos and Nugent (1976), however, stated that since these two values were not easily available, the assumption of perfect competition served as the next best alternative in detecting resource misallocation in the analysis of production function. Since in this study, farmers seemed to have approached a perfect knowledge of some of the relevant variables and were price-takers both in the output and input market, it was reasonable to assume that they were operating in a competitive environment. In this case, we could then express the equilibrium condition as the equality between the marginal revenue product of each of the input factor and the marginal cost to detect whether there was any resource mis allocation in the production process. In the calculation of the marginal revenue products of the input factors, it was assumed that the prices of the cocoa beans and the nuts were fixed. Since the data used were cross-sectional in nature, prices did not exhibit much variation during the reference period. MARGINAL FACTOR COST The marginal factor cost of fertiliser used in this study was based on the average price of the input per kilogramme. As for labour the marginal factor cost was based on its opportunity cost. From field observations, during the period where no harvesting was undertaken or no maintenance work had to be performed, some farmers remained totally unemployed and under such situation during this slack season the opportunity cost of labour should be zero. Because of the seasonal nature of agricultural production the opportunity cost of labour tends to vary with season (Upton; 1987). Yotopoulos (1967) suggested that the opportunity cost of labour could be computed throughout the year by weighing the seasonal wage rate by the proportion of the total agricultural work that was performed during the peak season. However, in this study, this technique was not adopted owing to the lack of the relevant data. Sen (1966) and Bardhan (1973), however stated that the opportunity cost of family labour is equal to the wage rate multiplied by the 45 probability of success in securing alternative employment. If the probability is equal to one which happens during the situation of full employment the opportunity cost of labour will be zero when the probability of success is zero. In this study, a probability level of 0.5 was taken to compute the opportunity cost of labour. Based on the response given by the respondents, the chances of success in securing alternative employment such as plantation and factory workers as well as odd jobs were only 50%. The wage rate used by the Department of Agriculture in the computation of this input was M$12.00 per man-day. Thus based on the probability level of 0.5, the opportunity cost of labour was M$6.00 per man-day throughout the year. As for the case of land size, it was rather difficult to determine its opportunity cost in this study area. During the study period, it was found that the average annual rent for every acre of land was MS300.00. Assuming that this figure is correct, since data on annual rent are not easily available, so the marginal factor cost of this input would then be based on the average rent that was being computed. In the case of capital inputs comprising farm equipment and living capital, the marginal factor costs were based on the opportunity cost of a dollar worth of these inputs invested in the Agricultural Bank. ESTIMATES OF MARGINAL REVENUE PRODUCTS The estimates of the marginal revenue products with respect to the significant inputs were presented in Table 1.4. The marginal revenue products indicate the returns which on, the average, are expected from the addition of one more unit of the various input factors. As shown in Table 1.4, a dollar's worth of labour contributed M$0.89 to the expected income. Such a low return from this input might be attributed to the measurement error that arises. Since there are great variations in the age and skills of the labour used, this might cause a downward bias in the coefficients and thus causes the estimates to be very low. The low returns from labour, therefore, makes cocoa farming a less attractive activity to the rural youth. This has resulted in the exodus of this labour force to the cities as is now being observed. The marginal returns for land was MS3.00. This implied that this input was consistently too sparingly being used in the region involved. This might be attributed to the imperfections in the land market. Also it could be that the market rental of land was below the economic value of land. However, since this factor of production is a constraint in this study area, no further expansion could take place in order to get higher returns. 46 TABLE 1.4 : MARGINAL REVENUE PRODUCT AT THE GEOMETRIC MEANS _______OF THE INPUTS_________'_______________________ INPUTS POOLED DATA Marginal Revenue Product us Labour Land Size Farm Tools Fertilisers Living Capital 0.89 3.00 3.06 4.45 0.20 (0.3593)# (0.0915) (1.6125) (0.5227) (0.0455) Geometric Means us Labour (man-days) Land Size (Acres) Farm Tools (M$) Fertilisers (M$) Living Capital (MS) 67.97 2.89 8.34 13.40 3519.24 # Figures in brackets are the standard errors. As shown in Table 1.4, the marginal returns for fertiliser was around MS4.45. Owing to the very low level of fertilisers being applied, while from the agronomic experiments it is known that the output of cocoa is closely associated with the amount of fertilisers used, an estimated marginal returns of M$4.45 was quite high. This shows that the cocoa farms in this area were still underfertilised. As for living capital, the returns from this input was very low in the analysis made. Such a low marginal returns for this input factor was anticipated since it was composed of two different types of crops, namely; cocoa and coconut with varying ages, therefore, there is bound to be great variation in the productivity status of this input. This as consequence might bias the production coefficient downwards and thus caused the estimates to be very low. Futhermore it was suspected that the use of expected yield concept obtained from field experiments might not actually reflect the true yield potentials of the cocoa and coconut trees planted by smallholders owing to the differences in agronomic and management practices. In the case of farm implements, the returns was MS3.06 in the analysis made. Considering the low level of investment in agricultural implements such a high marginal return implied that the farms were underequipped during the period under study. The extent to which the farmers, on the average, should change the relevant MRP through resource reallocation in order to arrive at 47 TABLE 1.5: PERCENTAGE CHANGE IN MRP REQUIRED TO EQUATE WITH MARGINAL COST OF INPUTS CATEGORY FERTILISERS Pooled Data 77.53 CHEMICALS LIVING CAPITAL - 432.50 LAND SIZE FARM TOOLS LABOUR 66.67 65.20 12.36 the equality of MRP and MC is given in Table 1.5. The great change in the marginal revenue products for most of the inputs indicates that there are major deviations from allocative efficiency in the study area. This is at variance with the conclusions of most studies on traditional agriculture such as those conducted by Schultz (1964) and Sahota (1968). Because of the inequality between the marginal revenue products of these inputs with their respective marginal costs we can, therefore, conclude that these factors of production were not allocatively efficient in crop production in relation to their ruling input and output prices. SUMMARY AND CONCLUSIONS This study has clearly identified that among the input factors used by the cocoa smallholders, the ones which had significant impact on the production of cocoa were land size, labour, living capital, farm implements and fertilisers. Among the management proxies, only farmer's age, extension contact, farmer's education and the practice of keeping farm records and accounts were important. Inputs such as chemicals, spouse's and children's education as well as soil types did not have any significant influence on cocoa production. The data presented in this study also pointed to the fact that the cocoa smallholders were highly inefficient allocatively. Computation of the ratios of the Marginal Revenue Products indicated that appreciable deviations from allocative efficiency were found for land size, labour, living capital, fertilisers and farm implements. From this study, it emerged that land size was the most important determinant that affects cocoa production. However, since this input is a constraint and was too sparingly used by the farmers, in order to achieve allocative efficiency, it is therefore suggested that more efforts should be directed at group farming in the area. The low dosage of the complementary inputs used in the production process might imply that the farmers still lack awareness of the benefits of these inputs. Because of the risk involved and because of 48 their limited resources, the extension efforts must not only be in the form of routine advice but must seek to convince them by specific demonstration and economic evidence relating to the costs and benefits. Farmers also should be encouraged to keep a record of their farm activities in order to assist them in monitoring, understanding and evaluating future problems. It is recommended that more intensive effort must be made by the extension workers to encourage more farmers to undertake this form of activity to enable them to make effective decisions at the farm level. BIBLIOGRAPHY BARDHAN, P.K. (1973) 'Size, Productivity and Farm Returns to Scale : An Analysis of Farm-Level Data in Indian Agriculture', Journal of Political Economy, Vol. 81 (3), pp. 13701386. BOATENG, M.Y. (1982) 'Problems of Increasing Output Of Small Cocoa in Ghana. A case-study of the Ashanti Cocoa Project', Ph. D. Thesis, University of Missouri, Columbia. COSTA, A.D.S., and REIS, A.J.D. (1982) 'Eficiencia Economia Dos Recursos Em Dois G r u p o s De Propriedades C a c a u e i r a s Do Municipio De Ilheus, Bahia, Proceeding of the 8th International Cocoa Research Conference, 1823 Oct. Lagos, Nigeria, pp. 621-626. DE SOUZA MENEZES, J.A., PANIAGO, }., LADEIRA, H,O. and BANDERA, A.L. (1974) ' E c o n o m i c i d a e Dos I n s u m o s M o d e r n o s em Fazendas De Cacau', Revista Theobroma, Vol. 4 (2), pp. 21-33. HEADY, E.G., and DILLON, J.L. (1966) Agricultural Production Function, Iowa State University Press, Ames. KEE, N.S. (1967) 'Fertiliser Problems in Mixed Cocoa-Coconut Plantings', in Cocoa and Coconuts in Malaya', edited by J.W. Blencowe and P D. Turner, Kuala Lumpur, pp. 23-31. KMENTA, J. (1971) Elements of Econometrics. The Macmillan, New York. KOUTSOYIANNIS, A (1973)Theory of Econometrics, The Macmillan Press Limited, London. 49 M A L A Y S I A , M I N I S T R Y OF F I N A N C E (1988). ECONOMIC REPORT 1988/1989 Jabatan Percetakan Negara, Kuala Lumpur MALAYSIA (1989) I n f o r m a t i o n Malaysia Yearbook, B e r i t a Publishing, Kuala Lumpur. PASOUR, E.G. Jr. (1981) 'A F u r t h e r N o t e on the M e a s u r e m e n t Of Efficiency and Economics of Farm Size', Journal of Agricultural Economics, Vol. 32 (2), pp. 135143 SAHOTA, G.S. (19G8) 'Efficiency of Resource Allocation in Indian Agriculture', Journal of Agricultural Economics, Vol. 50 (3), pp. 586-602. SCHULTZ, T.W. (1964) Transforming Traditional Agricultural, Yale University Press, New Haven. SEN, A.K. (1966) 'Peasants and Dualism With or Without Surplus Labour', Journal of P o l i t i c a l Economy, Vol. LXXIV (5) Oct. pp. 438-450. THIRTLE, C. (1984) 'Cocoa P r o d u c t i o n in Eastern C a m e r o o n ' , Manchester Paper on Development, Issue 10, pp. 45-54. THOMAS, R.L. (1985) Introductory Econometrics: Theory and application, London, Longman. UPTON, M, (1987) African Farm Management, Cambridge University Press. YOTOPOULOS, P.A. and NUGENT, B.J. (1976) Economics of Development Empirical Investigations, Harper International Edition, Harper, Row Publishers. YOTOPOULOS, P.A. (1967) A l l o c a t i v e Efficiency in Economic Development. A Cross-section Analysis of Epirus Farming, Athens, Centre of Economic Research. 50 Biodata Sabitha binti Marican dilahirkan di Johor. Mendapat Diploma dalam bidang Mikrobiologi dari Institut Teknologi Mara pada tahun 1982, sebelum bertugas sebagai Penolong Pegawai f • ; ib-,- • . ...... - - . . ,,.<•;. Penyelidik selama 3 bulan, dan 7 bulan sebagai Pegawai Perhubungan Awam di Mardi, Selangor. Kemudian melanjutkan pelajaran di Amerika Syarikat dalam bidang Kesihatan Alam Sekitar dan menerima Ijzah Serjana Muda dari Point Park College pada tahun 1985. Selepas itu beliau berpeluang menjalankan praktikal selama 2 bulan di Department of Environment Resources di Pittsburgh, sebelum melanjutkan pelajaran ke peringkat Ijazah Lanjutan dan menerima Ijazah Pentadbiran Awam di Universiti Pittsburgh, Pennsylvania pada tahun 1987. Pada masa ini bertugas sebagai Pensyarah di Universiti Utara Malaysia dalam Bahagian Pentadbiran Awam. Bidang pengkhususan beliau ialah 'Dasar Awam', 'Stress Management', 'Conflict Management'dan 'Career Development'. Pernah juga menjalankan penyelidikan tentang kesan kependudukan setinggan di Bandaraya Kuala Lumpur. KE ARAB MENINGKATKAN PRODUKTIVITI USAHAWAN WANITA SELARAS DENGAN MATLAMAT WAWASAN 2020: KES KAJIAN UTARA MALAYSIA Oleh Sabitha Marican Peranan wanita mendapat perhatian yang lebih besar daripada kera- jaan dalam Rancangan Malaysia ke Enam (RM6) memandangkan golongan ini mempunyai potensi besar dalam bidang ekonomi dan pembangunan sosial. Ini disebabkan walaupun harnpir separuh daripada penduduk negara ini adalah kaum wanita, jumlah tenaga buruh hanyalah 35% sahaja. Maka selaras dengan matlamat kerajaan, di bawah RM6, kerajaan telah menyediakan peruntukan sebanyak $20 juta bagi membantu Urusetia Hal Ehwal Wanita (HAWA) melaksanakan program-program dan projek-projek menurut Dasar Wanita Negara untuk pembangunan kaum wanita. Maka salah satu dari aspek yang patut diberikan perhatian yang lebih ialah bidang keusahawanan, terutama sekali setelah kerajaan Malaysia melaung-laungkan kejayaan kehidupan mereka. -Dengan itu penulis telah membuat kajian ke atas usahawan kecil wanita di Utara Malaysia, untuk menyingkap sedikit sebanyak masalah. Usahawan kecil wanita dalam mencapai produktiviti dalam bidang ini. Pertama penulis akan membincangkan mengenai mengapa penglibatan usahawan kecil wanita penting di negara kita. Kedua faktor-faktor yang telah digunakan oleh penulis sebagai asas untuk mengkajrhalanganhalangan dan masalah-masalah yang dihadapi oleh usahawan wanita. Ketiga mengulas data yang telah diperolehi dan akhir sekali akan diutarakan cadangan-cadangan untuk mengatasi halangan dan tanggapan ke atas usahawan wanita. Penglibatan usahawan kecil wanita perlu diberikan tumpuan kerana industri kecil menyumbangkan 19% kepada guna tenaga, 12% kepada hasil keluaran negara, dan 7% kepada harta tetap dan nilai ditambah. Dan memandangkan 35.5% daripada gunatenaga di negara kita terdiri daripada kaum wanita ini menunjukkan penelitian terperinci ke ats penglibatan wanita dalam ekonomi dan produktiviti negara tidak dapat diketepikan. 52 Seterusnya faktor yang telah digunakan sebagai asas untuk kajiannya mengenai masalah dan halangan yang dihadapi oleh usahawan kecil wanita adalah seperti berikut. Pertama ialah mengenai faktor-faktor asas mengenai kualiti asas seorang usahawan. KUALITI ASAS USAHAWAN KEUSAHAWANAN Usahawan o Sikap o Pengetahuan o Kemahiran o Mengenai Peluang Peluang dan Suasana Ekonomi Sumber Bantuan Dari rajah di atas kita dapat melihat bahawa faktor-faktor seperti pengetahuan, kemahiran, mengenai peluang dan dibantu dengan suasana dan peluang ekonomi bersama sumber-sumber bantuan yang boleh didapati dapat menentukan naik turunnya seseorang usahawan itu. Faktor seterusnya yang digunakan sebagai asas untuk kajian ini ialah melihat dari sudut sifat seorang usahawan yang hampir mirip dengan sifat seorang pemimpin. Antaranya ialah harus: - - mempunyai semangat dan ketahanan, berdisiplin. konsisten dalam perilakunya. berkebolehan menyelesaikan masalah. berani mengambil risiko. membuat keputusan dengan cepat. mempunyai daya pemikiran kreatif dan inovatif. rajin serta bersungguh-sungguh dalam usahanya. berkebolehan dalam mengenalpasti peluang-peluang yang sedia ada. 53 Faktor ini diberikan perhatian kerana tidak ramai dalam masyarakat kita yang yakin bahawa wanita boleh jadi pemimpin. Dan memandangkan sebagai usahawan yang berjaya perlu sifat-sifat kepimpinan yang sedemikian, maka pandangan stereotaip seperti ini perlu dikaji sama ada benar atau hanya sebagai tanggapan yang menjadi batu penghalang dalam usaha wanita industri kecil ini. Bercakap mengenai tanggapan, gambarajah yang berikut menunjukkan faktor-faktor tanggapan am terhadap wanita. lanya diteliti untuk mengetahui sejauhmana ianya benar dalam mempengaruhi penglibatan wanita sebagai usahawan kecil. Dari gambarajah ini jelas kelihatan bahawa kaum lelaki dipandang lebih positif daripada kaum wanita. TANGGAPAN Tanggapan terhadap usahawan wanita adalah berlainan sedikit. Secara ringkas wanita dan lelaki digambarkan secara berikut. - kuat agresif - lemah pasif - berdikari - tdk mampu diri - berorientasi - berorientasikan objektif - subjektif Seterusnya penulis akan membentangkan penemuan-penemuan penting dari kajian yang telah dijalankan. PROF AIL AM 1. Umur 21-30 31-40 41-50 2. Status Perkahwinan Peratus 31.8% 37.9% 30.3% Bujang Berkahwin Janda 3. 18.2% 69.7% 10.5% Taraf Pendidikan Sekolah Rendah Sekolah Menengah 23.1% 44.6% Kolej/universiti 21.5% Sijil-sijil dalam bidang keusahawanan atau yang setaraf dengannya 10.8% 54 Pada amnya kita dapat melihat bahawa ada perkembangan yang positif di negara kita. Di mana kita dapat melihat bahawa lebih lima puluh peratus daripada usahawan wanita adalah dalam lingkungan usia yang muda iaitu antara 21 - 40 tahun. Ini menunjukkan kerajaan mempunyai harapan untuk meningkatkan lagi penglibatan mereka kerana usahawan-usahawan wanita ini telahpun mula menjinakjinakkan diri dalam bidang usahawan. Satu lagi faktor di sini ialah kebanyakan usahawan wanita ini telah berkahwin (70%). Peratus ini menunjukkan walaupun telah berumahtangga ianya tidak menjadi halangan untuk mereka menceburkan diri dalam bidang perniagaan. Maka ianya tidaklah seperti tanggapan orang ramai di mana tempat wanita adalah di dapur. Mengenai taraf pendidikan mereka kebanyakkan adalah sama ada sekolah menengah atau sekolah rendah. Di samping itu 10.8% sahaja mempunyai sijil-sijil dalam bidang keusahawanan atau yang setaraf dengannya. Maka ini merupakan satu faktor yang perlu diperhatikan kerana tidak ramai yang mendapat pengetahuan secara formal mengenai selok belok perniagaan. Pengetahuan formal ini merupakan salah satu faktor yang penting dalam membantu usahawan berjaya dalam perniagaannya. Kemahiran melalui pengalaman boleh diperolehi, tetapi bersama-sama dengan pengetahuan formal ini ianya akan menjadikan usahawan itu lebih peka dalam mengendalikan urusan niaganya. Penemuan-penemuan penting yang berikut adalah mengenai pengalaman, latihan dan modal usahawan kecil wanita. Ianya adalah seperti dalam rajah yang berikut: Pengalaman, Latihan dan Modal 1. Peratus 2. 3. Bekerja sendiri sebelum menceburkan diri dalam bidang sekarang - 60 Bekerja dalam bidang yang sama (usahawan) - 50.8 Mendapat modal dari saudara mara dan simpanan sendiri - 56 4. Memerlukan modal sebanyak 55,000-510,000 - 44 5. 6. 7. 8. 9. Memilih bidang ini kerana berminat Perniagaan ini milik sendiri Menjalankan perniagaan selama 2 hingga 5 tahun Mempunyai kurang dari 10 pekerja Pekerja-pekerja dari adik beradik atau saudara-mara - 83.1 73 50 84.6 55.2 10. Tidak pernah mengikuti apa-apa kursus formal yang ditawarkan oleh kerajaan 11. Membuka perniagaan atas inisiatif sendiri 12. Tidak setuju untuk makan gaji jika diberi pilihan 13. Tidak setuju bahawa bekerja dengan kerajaan member! mereka status yang tinggi berbanding dengan apa yang mereka lakukan sekarang 55 - 55.3 - 93.8 - 90 - 80 Secara amnya kita dapat melihat bahawa kebanyakan mereka sebelum menceburkan diri dalam bidang usahawan bekerja sendiri dan dalam bidang yang sama atau yang berkaitan dengan perniagaan mereka. Bermakna jika dahulu mereka makan gaji mengambil upah menjahit pakaian, sekarang mereka telah membuka kedai jahit sendiri, Majoriti daripada mereka menceburkan diri dalam bidang yang mereka pilih kerana berminat. Mengenai modal mereka, kebanyakan memerlukan modal antara $5,000 dan 310,000 ringgit. Walaupun modal yang mereka perlukan kecil, tetapi malangnya kebanyakan terpaksa mendapatkannya dari saudara mara ataupun simpanan sendiri. Separuh daripada usahawan kecil wanita ini merupakan orang baru dalam perniagaan yang mana perniagaan mereka adalah antara 2 hingga 5 tahun. Mereka juga tidak mempunyai pembantu yang ramai, iaitu 84.6% mempunyai kurang daripada 10 orang pekerja. Dan kebanyakan daripada mereka adalah adik beradik sendiri ataupun saudara mara. Ini merupakan satu halangan kerana kebanyakan mereka kekurangan modal dan dengan itu mereka tidak dapat mengambil ramai pembantu, dan ini kerapkali menganggu mereka dalam mengendalikan pasaran dan permintaan pelanggan. Bukan sahaja kebanyakan mereka adalah orang baru dalam arena ini, malah lebih separuh daripada mereka tidak pernah mengikut apaapa kursus formal yang ditawarkan oleh kerajaan. Walhal latihan itu amat penting untuk meningkatkan pengetahuan dalam mengendalikan perniagaan mereka. Seterusnya lebih 93% daripada mereka membuka perniagaan atas inisiatif sendiri. Maka ini merupakan satu lagi ciri-ciri positif di mana wanita itu tidaklah pasif seperti yang dikatakan selalu, tetapi mempunyai motivasi dan sanggup menghadapi cabaran. Di samping itu mereka juga memandang tinggi bidang usahawan kerana 90% daripada mereka tidak setuju bahawa bekerja dengan kerajaan memberi mereka status yang tinggi berbanding dengan apa yang mereka lakukan sekarang. Perlu diingatkan bahawa kebanyakan mereka adalah kecil dalam bidang makanan, teksitil jahitan dan bermodalkan kurang daripada $10,000. Ini menunjukkan mereka yakin dengan usaha mereka walaupun perniagaan mereka kecil. Sikap Seterusnya adalah mengenai sikap usahawan wanita seperti yang ditunjukkan dalam gambarajah berikut. Sikap Peratus Tidak harus mengutamakan persahabatan, kemurahan hati serta sifat malu atau segan. 56 - 62.1 Menjadi usahawan bukan kerana ingin dikenali (terkenal). - 65.1 Tidak percaya bahawa kejayaan dalam keusahawanan bergantung kepada jantina. - 85 Usahawan wanita masih boleh menghadapi berbagai cabaran. - 74.2 Percaya terhadap usaha sendiri. - 82.7 sokongan dan bantuan dari pihak swasta. - 1.9 Masalah mendapatkan bantu an-bantu an yang disediakan adalah lebih tinggi untuk kaum wanita dari usahawan lelaki. - 56.5 Tidak tahu tentang wujudnya agensi-agensi kerajaan dan swasia yang boleh membantu meningkatkan prestasi perniagaan mereka. - 72.2 Mengatakan telah berjaya dengan adanya Maklumat wujudnya agensi-agensi kerajaan yang boleh membantu: - kurang tahu tidak ambil tahu - 51.4 - 21.4 - merasa kewujudan agensi-agensi tidak penting - 21.4 - 71.2 Wanita juga mempunyai daya ketahanan yang tinggi terhadap tekanan dan berupaya mengendalikan perniagaan samabaik kalaupun tidak lebih baik dari kaum lelaki Secara amnya, sebahagian besar daripada masyarakat kita beranggapan bahawa wanita itu lemah, emosional dan pasif. Namun begitu data menunjukkan sebaliknya. Penemuan yang pertama menunjukkan bahawa mereka tidak hams mengutamakan persahabatan, kemurahan hati serta sifat malu atau segan. Ini menunjukkan mereka tegas dalam menjalankan perniagaan. Tanggapan yang meny- atakan wanita kebanyakkannya bersifat materialistik juga dapat disangkal kerana ramai yang menjadi usahawan bukan kerana ingin terkenal tetapi kerana minat dan yakin atas usaha sendiri, dan masih mempunyai sifat rendah diri. Seterusnya walaupun ramai yang mengganggap bidang ini merupakan monopoli kaum lelaki tetapi ramai yang tidak percaya kejayaan sebagai usahawan bergantung pada jantina dan yakin bahawa kejayaan mereka adalah atas usaha sendiri (82.7%). Hakikat ini 57 menunjukkan usahawan wanita tidak merasakan diri mereka lemah (74%), tetapi boleh menghadapi berbagai cabaran. Lebih separuh daripada usahawan wanita mengatakan wanita lebih sukar untuk mendapatkan bantuan jika dibandingkan dengan usahawan lelaki. Memandangkan hanya 15.7% sahaja yang mengatakan mendapat sokongan kerajaan. Ini mungkin disebabkan ramai (72.2%) tidak tahu tentang wujudnya agensi-a^ensi kerajaan dan swasta yang boleh membantu meningkatkan prestasi perniagaan mereka. Ini disebabkan lebih separuh kurangtahu mengenai kewuju- dan agensi agensi tersebut, dan 21.4% memang tidak ambil tahu, dan 21.4% merasakan kewujudan agensi-agensi tidak penting. Maklumat ini penting kerana hampir setengah daripada usahawan wanita tidak mengambil berat mengenai maklumat wujudnya agensiagensi kerajaan yang boleh membantu dalam meningkatkan pernia- gaan mereka. Keadaan ini hams diperbaiki, kerana tanpa maklumat dan bantuan kerajaan maupun dari pihak swasta hanya akan menjejaskan peluang mereka dalam perniagaan. Dan dari sumber-sumber maklumat dan bantuan yang sedemikianlah mereka boleh membesarkan dan mempertingkatkan perniagaan mereka, agar tidak hanya bergantung kepada modal sendiri atau saudara mara sahaja dan di samping itu dapat mempelajari selok belok perniagaan dan cara-cara mengendalikan perniagaan kerana kebanyakkannya adalah berpendidikan rendah. Sebagai wanita mereka tidak dapat lari dari tanggungjawab rumahtangga. Seterusnya adalah mengenai persoalan pembahagian peranan rumahtangga dan kerja. Persoalan pembahagian peranan rumahtanggan - kerja Kegiatan perniagaan jarang sekali menjejaskan penumpuan mereka terhadap masalah rumahtangga Peratus - 95.3 Tidak setuju bahawa usahawan wanita yang berjaya tidak mempunyai ciri-ciri kewanitaan dan justeru itu kurang kebolehan dalam peranan sebagai pembimbing rumahtangga - 87.8 Tidak setuju wanita mengutamakan masalah rumahtangga daripada masalah di tempat kerja - 73.9 Sepertimana yang dirujuk dari rajah di atas, lebih 95% daripada usahawan wanita mengatakan penyertaan mereka sebagai usahawan tidak menjejaskan tumpuan rnereka terhadap rumahtangga. Ini menunjukkan mereka peka dalam membahagikan masa antara kerja dan tanggungjawab di rumah. 58 Sepertimana tanggapan masyarakat bahawa kebanyakan wanita tidak dapat berjaya dalam dunia yang penuh dengan cabaran dan menjadi pembimbing anak-anak pada masa yang sama. 87.8% tidak setuju bahawa wanita akan hilang ciri-ciri kewanitaan dan justeru itu kurang kebolehan dalam peranan wanita ini juga berpendapat bahawa mereka berupaya menyelesaikan masalah di tempat kerja maupun di rumah. Mereka pandai membahagikan masa untuk keluarga dan perniagaan. Perlu diingatkan di sini bahawa ramai wanita yang terpaksa bekerja dua kali lebih besar untuk menunjukkan bahawa mereka berupaya menjalankan tugas mereka dengan kerjaya. Rumusan Kajian Secara amnya dari penemuan di atas kita dapat merumuskan seperti yang berikut: iaitu ciri positif usahawan kecil wanita ialah: 1. Mempunyai cita-cita untuk membangunkan perniagaan. 2. Sanggup menyediakan modal dengan usaha sendiri atau pinjaman dari saudara mara. 3. Mempunyai minat dalam bidang ini dan ada peluang untuk meningkatkan diri dalam bidang yang diceburi. 4. Keupayaan untuk menghadapi tekanan menunjukkan mereka sanggup menghadapi cabaran. 5. Mereka tidak berapa gemar untuk makan gaji. Jika ada pilihan, menunjukkan boleh bergantung pada diri sendiri. 6. Kebanyakan usahawan wanita berpendapat wanita boleh menceburkan diri dalam bidang usahawan dan tidak menjejaskan tanggungjawab mereka pada rumahtangga. Seterusnya ciri-ciri usahawan kecil wanita yang perlu diatasi ialah : 1. usahawan wanita menghadapi masalah dalam mendapatkan modal, sama ada untuk memulakan atau memperkembangkan perniagaan. 2. kurang mengambil tahu tentang peluang-peluang yang disediakan dan kurang menerima/tidak tahu tentang bantuan seperti khidmat nasihat atau latihan dari pihak kerajaan dan swasta. a. tahap pendidikan yang rendah dan kurang pengetahuan mengenai pengurusan moden. 59 Cadangan Setelah kita meninjau penemuan di atas maka halangan penglibatan wanita, dalam bidang usahawan perlu dikaji dari banyak aspek. Mengikut El-Namaki, 1989 jenis-jenis halangan yang sering dihadapi oleh usahawan wanita dalam membangunkan bidang usahawan mereka ialah seperti berikut: 1. 2. 3. Halangan struktur (teknologi, kredit) Halangan pekerjaan (tradisional, kemahiran dll.) Halangan pendidikan (latihan dan vokasional) 4. Halangan sosial dan budaya (nilai dan norraa) 5. 6. Halangan peranan (status, minoriti, ciri-ciri kepimpinan) Halangan tingkahlaku (keyakinan diri, harga diri, dll.) Kesemua halangan ini jika tidak di atasi boleh berlaku dan akan membelenggu penglibatan usahawan wanita dan akan terus menanamkan sifat stereotaip dan tanggapan negatif terhadap mereka. Di antara cara-cara untuk mengatasi halangan usahawan wanita ialah pertama memberikan bantuan atau nasihat dari segi jenis dan lapangan perniagaan yang hendak diceburi. Ini disebabkan ada yang masih ragu-ragu dan tidak tahu yang mana yang perlu mereka ceburi memandangkan ramai mempunyai pengalaman yang kurang dalam arena ini. Seterusnya teknik-teknik jualan juga harus diperkenalkan kerana kebanyakkannya berniaga secara setempat dan untuk mengurangkan persaingan mereka harus diberi tajuk dalam memperluaskan lagi skop jualan, misalnya memperkenalkan produk mereka ke seluruh negara dan mengadakan pengiklanan. Faktor ini perlu diberikan perhatian kerana kebanyakan pengusaha kecil menghadapi persaingan sesama sendiri apabila sesuatu perusahaan atau pengeluaran berasaskan sumber tempatan yang hanya tertumpu di satu-satu kawasan sahaja. Oleh kerana perniagaan usahawan wanita berskala kecil maka selain daripada masalah pengurusan, kerana mereka kurang bersedia dengan sumber maklumat, kajian pasaran, mutu dan hal teknikal seperti bungkusan dan reka bentuk mereka juga tidak peka dengan arah turun naiknya permintaan pasaran. Maka garis panduan umum mengenai barangan, pasaran, persaingan harus diperkenalkan, lebih-lebih lagi kepada pendatang baru dalam arena usahawan ini. Dengan itu usahausaha untuk meningkatkan penglibatan mereka dalam kursus-kursus keusahawan perlu difikirkan. Di samping itu usahawan kecil wanita menghadapi masalah jurang teknologi yang besar, dengan rata-rata belum mencapai tahap yang tinggi. Sebahagian besar pengusaha kecil masih bersifat tradi60 sional dalam pengerakan serta teknik pengeluaran mereka. Dengan itu hasil dan mutu pengeluaran juga akan menjadi rendah dan tidak dapat memenuhi kehendak dan kualiti pasaran. Menyentuh tentang kursus seperti mana yang kita dapati dalam kajian ini, tidak ramai yang tahu tentang wujudnya kursus-kursus sedemikian, walaupun terdapat begitu banyak program-program yang wujud untuk meningkatkan usahawan. Contohnya seperti yang ditunjukkan dalam gambarajah berikut: 1. MEDEC (Malaysian Enterpreneurial Development Centre). 2. NPC (Perbadanan Produktiviti Negara). 3. MARA (untuk Bumiputra). 4. Kementerian Belia dan Sukan (Untuk usahawan-usahawan muda). 5. Pusat Pembangunan untuk peniaga kecil (UPM). 6. Pusat Pembangunan Usahawan untuk graduan (dikendalikan oleh JPA). 7. Pusat Pembangunan Usahawan, iaitu suatu program usahasama dengan MARDI PORIM FRIM (Forest) CIAST (Centre for Instructor and Advanced Training Skill). 8. CIAST mengadakan usahasama dengan Pusat Latihan Belia. Dari penyelidikan penulis walaupun program-program usa- hawan adalah banyak tetapi terdapat rungutan bahawa tidak ramai peserta. Ini mungkin disebabkan di samping ramai yang kurang tahu mengenainya, kebanyakan kursus dianjurkan di bandar-bandar besar dan bukannya di kawasan setempat usahawan. Terdapat juga kursus-kursus lain yang berjangka masa panjang dan ada yang sampai enam bulan. Ini merupakan masalah besar kepada pengusa- ha kerana kebanyakan mereka menjalankan sendiri perniagaan mereka di samping masalah kekurangan pekerja. Selain daripada itu kebanyakkan kursus-kursus juga mengenakan bayaran antara $400 - $3000 yang mana adalah tinggi untuk usahawan-usahawan kecil. Dari itu kelayakan kursus itu haruslah diadakan dengan kerap, padat dan pendek di samping memperbanyakkan latihan percuma. 61 Satu lagi masalah utama dan yang serius adalah masalah modal. Kebanyakannya menggunakan modal sendiri atau saudara mara. Dengan itu mereka tidak dapat memperkembangkan perniagaan dan akan berada di takuk lama. Kebanyakan mereka sukar mendapatkan modal dari bank. Selalunya pihak bank akan mengambil kira faktorfaktor asas dalam membuat pinjaman, iaitu sikap, modal dan syarat- syarat pinjaman, penjamin dan sandaran. Manakala pengusaha sendiri mempunyai masalah yang menyebabkan bank tidak meluluskan pinjaman. Lazimnya masalah mereka adalah pengusaha tidak ada akaun di Bank, modal yang dikeluarkan oleh pengusaha adalah lebih kecil daripada pinjaman yang diharapkan. Seterusnya sikap pengusaha, iaitu mohon pinjaman hari ini dan berharap diluluskan esok, tidak mempu- nyai pengalaman dalam bidang yang dtceburi, tidak tahu dengan tepat berapa banyak yang diperlukan untuk membuka perniagaan dan tidak ada rancangan perniagaan juga menjadi batu penghalang dalam men- dapatkan pinjaman perniagaan mereka. M e l i h a t k a n masalah yang sedemikian bank-bank harus memainkan peranan yang penting iaitu memperbanyakkan lagi skimskim yang mudah untuk membuat pinjaman dengan kadar faedah yang rendah dan pinjaman jangka masa panjang. Bercakap tentang sikap, sikap stereotaip pegawai-pegawai bank juga harus diperbaiki dengan memberi peluang yang lebih banyak kepada usahawan wanita. Misalnya, mengikut Presiden Usahawan Wanita Bumiputra Datin Salmah Supawan, pengalaman telah membuktikan kaum wanita lebih bertanggungjawab dan peka dalam membayar balik pinjaman atau hutang mereka dengan mana-mana institusi kewangan berbanding dengan kaum lelaki. Seterusnya sikap bank lebih mengutamakan keuntungan dari memberi perkhidmatan untuk meningkatkan taraf hidup wanita yang berkecimpung dalam perniagaan juga harus diubah. Ramai juga wanita gagal mendapat pinjaman dan kemudahan kredit dengan bank kerana tidak cekap dalam membuat kertas kerja pinjaman, memandangkan ramai berkelulusan rendah. Maka harus ada inisiatif untuk membantu mereka. Seterusnya pihak bank juga bukan sahaja mengutamakan pinjaman tetapi perlu disusuli dengan perkhidmatan selepas pinjaman dan memberikan perundingan percuma ketika mereka menghadapi kesukaran dalam perniagaan bagi menjamin kejayaan usahawan kecil wanita yang berkenaan. Akhir sekali sikap stereotaip bahawa wanita tidak berupaya menjalankan dua kerjaya harus dikikis. Memandangkan dasar kepen- dudukan 70 juta akan dicapai lebih awal daripada yang dijangkakan, maka kerajaan juga harus menyediakan lebih banyak pusat-pusat penjagaan kanak-kanak yang berkualiti ianya penting kerana dapat membantu mengurangkan beban wanita dalam menjalankan perniagaan. Memandangkan lebih ramai lagi wanita yang akan berkecimpung 62 dalam ekonomi negara pada masa akan datang. Ini juga adalah selaras dengan kehendak Wawasan 2020 untuk membina masyarakat yang bukan sahaja maju tetapi penyayang. Kesimpulan Memandangkan negara kita sekarang ini giat berusaha untuk melengkapkan diri menjadi negara yang maju lagi moden menjelang tahun 2020, maka peranan wanita sebagai usahawan juga tidak harus diabaikan dalam pembangunan negara, kerana bukan sahaja bilangan wanita merupakan hampir separuh dari tenaga kerja di Malaysia, malahan bidang usahawan juga merupakan salah satu cara yang dapat mendokong cita-cita Wawasan 2020. Dengan menyediakan peluang yang lebih banyak kepada mereka yang menceburi bidang ini, negara akan dapat meningkatkan ekonomi serta kualiti kehidupan rakyatnya. RUJUKAN A.Aziz Deraman. Budaya niaga usahawan Melayu. Mastika, Okt., 1990. Baharudin Omar. Delima peniaga bermodal kecil di ibu kota. Mastika, Feb. 1990 Ciri-ciri dan kuatiti usahawan berdaya maju. Utusan Malaysia, 1/7/1991. Data' Khalid Ibrahim. Bahaya 'Broker Agen' dalam mencapai Wawasan 2020. Mastika, Ogos, 1991. Dato' Seri Rafidah Aziz. Usahawan Melayu mesti ada disiplin. Mastika, Okt., 1990. Kao, J. Entrepreneurship, Creativity and Organization, Englewood Cliff, N.J.: Prentice Hall, 1989. Masabumi Suzuki. Outline of Japan's policies for SME. International Conference on SME, 28 - 30 May, 1990. Mahmood, N.M. an exploration of the personality profile of small scale business b u m i p u t r a and n o n - b u m i p u t r a entrepreneurs. Malaysian Management Review, 25, 2, Aug, 1990. Mohd Yusuf. Usahawan kecil dan masalahnya. Dewan Masyarakat, Jan., 1988. Pelan Induk Perindustrian. Dasar-dasar utama Kerajaan. INTAN, 1988. Sabitha, M. G Mahmood, N.M. Profile, Challenges and Strategies of Woman Entrepreneurs. A case study in Northern Malaysia. Kertas kerja, XVII Pacific Science Congress, Hawaii, Mei, 1991. 63 Sudin Haron. Small scale entrepreneurs; Perceptions of Malaysian commercial bankers. Malaysian Management Review, 25, 2 Aug. 1991. Usahawan wanita tubuh persatuan. IUB, Sept. 1990. Wanita tidak mampu buat keputusan punca gagat jadi pengurus. Utusan Malaysia, 14/8/1991. Yep Putih. Keusahawanan. Kuala Lumpur: Dewan Bahasa dan Pustaka, 1989. 64 Biodata En. Guok Eng Chai ialah Pegawai Penjnding, di Unit Penyelidikan Produktiviti dan Pembangunan Sistem di bawah Jabatan Pengukuran dan Penyelidikan Produktiviti, Perbadanan Produktiviti Negara (NPC). Sebelum penyusunan semula struktur organisasi NPC, beliau menjalankan tugas sebagai Pegawai Latihan dan Penyiasatan dalam bidang Perkembangan Pengurusan (Management Development). Beliau memperolehi Ijazah Sarjana Sastera (M.A.) dalam bidang Pengurusan, Universiti Sains Malaysia pada Ogos, 1991. Encik Guok pernah mengetuai beberapa projek penyelidikan produktiviti dan kualiti anjuran NPC. KESAN-KESAN KUMPULAN DAN PERSEKITARAN KE ATAS KEBERKESANAN PERLAKUAN KUMPULAN KERJA DILEMBAH KLANG, SEMENANJUNG MALAYSIA GUOKENGCHAI ABSTRAK Rencana ini merupakan tesis penulis untuk memenuhi keperluan Ijazah Sarjana Sastera (M.A.) dalam bidang pengurusan, Universiti Sains Malaysia, Mei 1990. Artikel ini juga merupakan sambungan daripada rencana pertama tentang kajian tersebut di atas yang dikeluarkan dalam Jurnal Produktiviti Bil 11 Disember 1991 yang menumpukan kepada penemuan-penemuan berikut: (1) penemuan univariat; (2) penemuan dwi-variat; dan (3) penemuan variat berganda. PENGENALAN Artikel ini mengemukakan penemuan penyelidikan berasaskan data yang diperolehi daripada soal-selidik kajian (sila lihat Lampiran 1 dalam rencana pertama). Penemuan yang dikemukakan oleh pengkaji di sini mengikut pembolehubah kumpulan dan persekitaran, pembolehubah proses kumpulan (termasuk sumber bahan) serta pembolehubah keberkesanan perlakuan kumpulan kerja; kesemua itu yang dibincangkan di bahagian rangka teoritis dalam rencana pertama. Laporan penemuan univariat tentang pembolehubah-pembolehubah tersebut dari segi corak taburan akan dibincangkan terlebih dahulu. Penemuan univariat itu akan juga menerangkan perbezaan keberkesanan perlakuan kumpulan kerja dari sudut jenis kumpulan kerja 'Small Group Activity'- (SGA) yang disukat dengan nisbah "F". Seterusnya perhubungan dwi-variat di antara pembolehubah kumpulan dan persekitaran serta pembolehubah proses kumpulan (termasuk sumber bahan) dengan keberkesanan perlakuan kumpulan kerja akan dikemukakan. Akhirnya artikel ini akan membincangkan penemuan tentang perkaitan variat berganda di antara pembolehubah-pembolehubah tersebut. Artikel ini juga menekankan penemuan empirik tentang model keberkesanann perlakuan kumpulan kerja di Semenanjung Malaysia. Untuk menguji perkaitan variat berganda, kajian ini menggunakan rosot kembali (Multiple Regression) berganda dua kuasa terkecil. 66 Analisis variat berganda itu akan menganggap pembolehubah kumpulan dan persekitaran serta pembolehubah proses kumpulan (termasuk sumber bahan) sebagai pembolehubah antejadian sepertimana diterangkan dalam rencana pertama. Dari penemuan penyelidikan yang diperoleh kita dapat menentukan samada data empirik mempunyai konsistenan demi menyokong model keberkesanan perlakuan kumpulan kerja. PENEMUAN UNIVARIAT Taburan kekerapan untuk selurub, sampel (Jadual 1) tentang peratusan cadangan projek diterima oleh pengurusan menunjukkan satu kadar penerimaan yang sangat tinggi secara perbandingan. 76.5 peratus sampel itu melaporkan kadar penerimaan sebanyak 80 peratus ke atas, manakala 87.9 peratus melaporkan kadar penerimaan 60 peratus ke atas. JADUAL I KOD-KODIDENTIFIKASI DAN TABURAN UNIVARIAT UNTUK PEMBOLEHUBAH-PEMBOLEHUBAH YANG DIGUNAKAN DALAM KAJIAN INI Kod-kod Pembolehubah-pembolehubah N % Pembolehubah Berg ant ung: Keberkesanan Perlakuan Kumpulan Kerja Yj Peratusan Cadangan Projek Diterima oleh Pengurusan (CADANG) Di bawah 20% 20-39% 40 - 59% 60-79% 80% ke atas 0 3 0 2.3 13 15 9.8 11.4 101 76.5 132 100.0 Skor Kesanggupan Ahli-Ahli Kumpulan Bekerjasama Secara Pasukan (PASUKAN) Kurang dari 4 markah 0 4-5markah 4 3.0 6 - 7 markah 8 - 9 markah 10-11 markah 8 33 45 6.1 25.0 34.1 67 0 JADUAL 1, SAMBUNGAN Kod-kod Pembolehubah-pembolehubah N % 12-13markah 30 22.7 Melebihi 13markah 12 9.1 132 100.0 Y3 Skor Kejayaan Perubahan Sikap Positif Ahli-Ahli Kumpulan Hasil Daripada Pengalaman Kumpulan (SIKAP) Kurang dari 4 markah 4 - 5 markah 6 - 7 markah 8 - 9 markah 1 0 7 33 0.8 0 5.3 25.0 10 - 11 markah 12 -13 markah Melebihi 13 markah 33 25.0 41 31.1 17 12.8 132 100.0 Pembolehubah Antejadian: Faktor Kumpulan dan Persekitaran, Faktor Proses Kumpulan serta Sumber Bah an Xl Skor Proses Intra Kumpulan (INTRA) Kurang dari 6 markah 6 - 8 markah 9 -11 markah 12 -14 markah 15 -17 markah 18 - 20 markah Melebihi 20 markah 0 0 0 0 4 3.0 8 6.1 46 34.8 58 43.9 16 12.2 132 100.0 X2 Sejauhmanakah Perbincangan Strategi Dipraktikkan (STRATEGI) (1) (2) (3) (4) TidakPernah Antara di bawah Kadang-Kadang dan Tidak Pernah Di bawah Kadang-Kadang Kadang-Kadang 68 25 18.9 9 10 30 6.8 7.6 22.7 JADUAL 1, SAMBUNGAN Kod-kod Pembolehubah-pembolehubah N % (5) (6) Di atas Kadang-Kadang Antara di atas Kadang-Kadang dan Selalu 20 16 15.2 12.1 (7) Selalu 22 16.7 132 100.0 X3 Sejauhmanakah Pertimbangan Input Individu Dipraktikkan (INPUT) (1) TidakPernah (2) Antara di bawah Kadang-Kadang dan 3 2.3 (3) (4) TidakPernah Di bawah Kadang-Kadang Kadang-Kadang 3 5 32 2.3 3.8 24.2 (5) (6) Di atas Kadang-Kadang Antara di atas Kadang-Kadang dan Selalu 33 29 25.0 22.0 (7) Selalu 27 20.4 132 100.0 Skor Pengurusan Sempadan (SEMPADAN) Kurang dari 4 markah 4 - 5 markah 6-7markah 8 - 9 markah 10-11 markah 12 -13 markah Melebihi 13 markah 35 51 26.5 38.6 23 17.4 15 5 1 2 11.4 3.8 0.8 1.5 132 100.0 X5 Sejauhmanakah Lengkapnya Sumber-Sumber Bahan (BAHAN) (1) Tidak Lengkap Langsung (2) Antara di bawah Sederhana dan Tidak Lengkap Langsung (3) Di bawah Sederhana (4) Sederhana (5) Di atas Sederhana (6) Antara di atas Sederhana dan Sangat Lengkap 69 5 3.8 4 3.0 4 18 11 3.0 13.6 8.3 31 23.5 JADUAL 1, SAMBUNGAN Kod-kod Pembolehubah-pembolehubah (7) Sangat Lengkap N % 59 44.8 132 100.0 X6 Pembahagian Jantina (LELAKI1) Dibawah20% 20-39% 31 16 23.5 12.1 40 - 59% 60-79% 9 16 6.8 12.1 80% ke atas 60 45.5 132 100.0 Kombinasi Keturunan (TURUN) (1) (2) (3) Satu Kombinasi Melayu/Cina/India (termasuk dll.) Dua Kombinasi (Melayu dan Cina) [Melayu dan India (termasuk dll.)] [Cina dan India (termasuk dll.)] Tiga Kombinasi 14 10.6 56 42.4 62 47,0 [Melayu, Cina, dan India (termasuk dll.}] 132 100.0 X8 Sejauhmanakah Tahap Pelbagai Kebolehan dan Kemahiran (KEBOLEH) (1) Rendah 1 0.8 (2) AntaradibawahSederhana dan Rendah 6 4.5 (3) Di bawah Sederhana 11 8.3 (4) Sederhana 42 31.8 (5) (6) Di atas Sederhana Antara di atas Sederhana dan Tinggi 40 27 30.3 20.5 (7) Tinggi 5 3.8 132 100.0 1 Menunjukkan perkadaran bilangan ahli-ahli lelaki berbanding dengan a h l i - a h l i perempuan. 70 JADUAL l, SAMBUNGAN Kod-kod Xg Pembolehubah-pembolehubah N % Skor Kesepaduan (SEPADU) Kurang dari 4 markah 4 - 5 markah 0 0 6 19 6 - 7 markah 8 - 9 markah 10-11 markah 12 - 13 markah Melebihi 13 markah 44 43 20 0 0 4.5 14.4 33.3 32.6 15.2 132 100.0 X10 Skor Kepimpinan (PIMPIN) Kurang dari 4 markah 4 - 5 markah 0 4 15 33 39 23 18 6 - 7 markah 8 - 9 markah 10-11 markah 12 - 13 markah Melebihi 13 markah 0 3.0 11.4 25.0 29.5 17.4 13.7 132 100.0 Xn Sejauhmanakah Aktifnya Komunikasi (KOM) (1) (2) (3) (4) (5) (6) (7) Tidak Aktif Langsung Antara di bawah Sederhana dan Tidak Aktif Langsung Di bawah Sederhana Sederhana Di atas Sederhana Antara di atas Sederhana dan Terlalu Aktif Terlalu Aktif 2 1.5 1 4 35 24 0.8 3.0 26.5 18.2 40 26 30.3 19.7 132 100.0 Saiz Purata Kumpulan (SAIZ) Kurang dari 6 ahli-ahli 6 - 9 ahli-ahli 10 - 13 ahli-ahli 23 17.4 76 57.6 29 22.0 71 JADUAL 1, SAMBUNGAN Pembolehub ah-p embolehub ah Kod-kod 14 - 17 ahli-ahli N % 1 3 Melebihi 17 ahli-ahli 0.8 2.2 132 100.0 X 13 Jenis Kumpulan Kerja (SGA) (JENIS) (!) BukanQCC (2) QCC 39 93 29.5 70.5 132 100.0 X14 Skor Teknik Keputusan Berkumpulan (TEKNIK] Kurang dari 10 markah 10-14 markah 15-19 markah 0 7 25 51 37 12 0 20 - 24 markah 25 - 29 markah 30 - 34 markah Melebihi 34 markah 0 5.3 18.9 38.6 28.0 9.2 0 132 100.0 Xis Skor Alat Statistik (ALAT) Kurang dari 14 markah 14 - 20 markah 21-27 markah 28 - 34 markah 7 7 22 42 38 13 3 35 -41 markah 42 -48 markah Melebihi 48 markah 5.3 5.3 16.7 31.8 28.8 9.8 2.3 132 100.0 ^16 Skor Pembahagian Tugas (BAHAGI) Kurang dari 4 markah 1 11 15 31 35 4 - 5 markah 6 - 7 markah 8 - 9 markah 10 - 11 markah 72 0.8 8.3 11.4 23.5 26.5 JADUAL 1, SAMBUNGAN Kod-kod Pembolehubah-pembolehubah 12-13 markah Melebihi 13 markah N 22 17 % 16.7 12.8 132 100.0 :17 Pembahagian Jam Mesyuarat (PEJABAT1) Di bawah 20% 20-39% 7 3 5.3 2.3 40 - 59% 60 - 79% 6 6 4.5 4.5 110 83.4 80%keatas 132 100.0 :18 Skor Latihan (LATIH) Kurang dari 20 markah 20 - 29 markah 30-39 markah 40-49 markah 50-59 markah 60-69 markah Melebihi 69 markah 9 7 16 37 47 15 1 6.8 5.3 12.1 28.0 35.6 11.4 0.8 132 100.0 X19 Skor Sistem Maklumat (MAKLUM) Kurang dari 4 markah 4 - 5 markah 6 - 7 markah 8 - 9 markah 10-11 markah 12 -13 markah Melebihi 13 markah 1 6 10 26 46 29 14 0.8 4.5 7.6 19.7 34.8 22.0 10.6 132 100.0 1 Menunjukkan perkadaran jam waktu pejabat yang digunakan dalam mengendalikan mesyuarat berbanding dengan jam waktu sendiri. 73 JADUAL 1, SAMBUNGAN Kod-kod X20 Pembolehubah-pembolehubah N % Skor Sistem Ganjaran (GANJAR) Kurangdari 2 markah 2 -3 markah 4 -5 markah 6-7markah Melebihi 7 markah 34 44 33 15 6 25.8 33.3 25.0 11.4 4.5 132 100.0 X21 Skor Sokongan Pengurusan (SOKONG) Kurang dari 8 markah 8-11 markah 12 -15 markah 16 - 19 markah 2 0 - 2 3 markah 24 -27 markah Melebihi 27 markah 1 1 13 31 39 37 10 0.8 0.8 9.8 23.5 29.5 28.0 7.6 132 100.0 Dari jadual tersebut di atas kita dapati 90.9 peratus sampel itu mengatakan bahawa mereka sanggup bekerjasama secara pasukan di antara "sederhana" dan "sangat sanggup" sepertimana dicerminkan oleh pencapaian skor 8 markah ke atas pada skel kesanggupan ahliahli kumpulan bekerjasama secara pasukan. Di samping itu 31.8 peratus sampel itu melaporkan bahawa ahli-ahli kumpulan mereka hampir sangat sanggup bekerjasama secara pasukan sepertimana dicerminkan oleh pencapaian skor 12 markah ke atas pada skel kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan. Tentang sejauhmanakah kejayaan perubahan sikap positif ahliahli kumpulan hasil daripada pengalaman kumpulan, 93.9 peratus sampel itu mengatakan bahawa kegiatan kumpulan mereka adalah di antara "sederhana berjaya" dan "amat berjaya" sepertimana dicerminkan oleh pencapaian skor 8 markah ke atas pada skel kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan. Manakala 43.9 peratus sampel itu melaporkan bahawa kegiatan kumpulan mereka hampir amat berjaya dalam mencapai perubahan sikap positif ahli-ahli kumpulan sepertimana dicerminkan oleh pencapaian skor 12 markah ke atas pada skel kejayaan 74 perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan. Nampaknya taburan-taburan untuk pembahagian jantina, kombinasi keturunan, saiz purata kumpulan, jenis kumpulan kerja (SGA), pembahagian jam mesyuarat, dan skor sistem ganjaran menunjukkan darjah-darjah kepencongan (skewness) yang berlainan. Begitu juga dengan pembolehubah-pembolehubah seperti proses intra kumpulan, perbincangan strategi, pertimbangan input individu, pengurusan sempadan, sumber bahan, kebolehan dan kemahiran, kesepaduan, kepimpinan, komunikasi, teknik keputusan berkumpulan, alat statistik, pembahagian tugas, latihan, sistem maklumat, dan sokongan pengurusan. Kepencongan-kepencongan itu mencerminkan beberapa bias dalam sampel; kebanyakan kumpulan memperolehi bilangan ahli-ahli lelaki yang tinggi berbanding dengan ahli-ahli perempuan; kombinasi Melayu, Cina, dan India (termasuk dll.) yang tinggi serta saiz purata 6 hinggaQ ahli-ahli. Perbezaan Jenis Kumpulan Kerja (SGA) Satu set penemuan yang penting dalam kajian ini mempertimbangkan tentang wujudnya perbezaan jenis kumpulan kerja (SGA) dari segi keberkesanan perlakuan kumpulan kerja. Sampel sampingan QCC dan Bukan QCC adalah berbeza apabila perbezaan di antara varians-varians masing-masing diuji secara berertian dari segi statistik oleh nisbah "F". Jadual 2 menunjukkan perbezaan berertian secara statistik di antara QCC dan Bukan QCC dari sudut pengurusan sem- padan, pembahagian jantina, kesepaduan, saiz purata kumpulan, alat statistik, pembahagian jam mesyuarat, latihan, dan sokongan pengurusan. Sebaliknya jadual tersebut menunjukkan persamaan taburan skor di antara sampel sampingan QCC dan Bukan QCC dari segi peratusan cadangan projek diterima oleh pengurusan, kesanggupan ahliahli kumpulan bekerjasama secara pasukan, kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan, proses intra kumpulan, perbincangan strategi, pertimbangan input individu, sumber bahan, kombinasi keturunan, kebolehan dan kemahiran, kepimpinan, komunikasi, teknik keputusan berkumpulan, pembahagian tugas, sistem maklumat, dan sistem ganjaran. Antara pembolehubah-pembolehubah itu, terdapat persamaan yang begitu rapat terutama dari segi proses intra kumpulan, sumber bahan, dan kombinasi keturunan. Kesimpulannya sampel tentang "Small Group Activity" (SGA) dalam kajian ini menunjukkan pencapaian yang tinggi dari segi: peratusan cadangan projek diterima oleh pengurusan; kesanggupan ahli- ahli kumpulan bekerjasama secara pasukan; dan kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpu75 lan, Walau bagaimanapun sampel itu tidak menunjukkan perbezaan jenis kumpulan kerja (SGA) yang berertian dari segi aspek-aspek keberkesanan perlakuan kumpulan kerja. Sebaliknya terdapat per- bezaan-perbezaan yang penting di antara sampel sampingan QCC dan Bukan QCC dari segi pembolehubah-pembolehubah antejadian seperti pengurusan sempadan, pembahagian jantina, kesepaduan (cohesiveness), saiz purata k u m p u l a n , alat statistik, pembahagian jam mesyuarat, latihan, dan sokongan pengurusan. JADUAL2 PERBEZAAN JENIS KUMPULAN KERJA (SGA) DARI SEGI PURATA, SISIHAN PIAWAI (S.P), NISBAH "F", DAN UJIAN "t" UNTUK PEMBOLEHUBAH-PEMBOLEHUBAH DALAM KAJIAN INI QCC* Bukan QCC* (N = 39) (N - 93) Nisbah Y! Y2 Y3 X: Xz X3 CADANG PASUKAN SIKAP INTRA STRATEGI INPUT X4 X5 X6 X7 X8 X9 X10 Xn Xj 2 X14 SEMPADAN BAHAN LELAKI TURUN KEBOLEH SEPADU PIMPIN KOM SAIZ TEKNIK X15 X16 X 17 X16 ALAT BAHAGI PEJABAT LATIH X19 MAKLUM X 20 GANJAR X21 SOKONG a b *X13 Ujian "t" X S.P. x" S.P. 86.763 19.076 87.179 20.705 1.18 0.112 10.495 2.389 10.231 1.939 1.52 -0.610 10.505 2.408 11.051 1.863 1.67 1.265 17.269 2.622 17.897 2.521 1.08 1.271 3.871 2.117 4.692 1.779 1.42 2.127a 5.204 1.340 5.026 1.581 1.39 4.968 2.347 5.769 3.099 1.74a 1.450 5.753 1.640 5.538 1.668 1.03 -0.682 48.295 39.242 87.163 18.609 4.45b 7.706b -0.662 2.355 0.686 2.385 0.633 1.17 0.233 4.409 1.096 5.154 1.247 1.29 3.421 10.989 2.164 12.077 1.511 2.05a 3.296b 0.01 0.073 10.247 2.339 10.282 2.800 5.161 1.262 5.590 1.390 1.21 1.726 8.495 2.846 7.128 3.715 1.70a -2.0583 23.935 4.669 20.205 4.503 1.08 -4.232b 33.699 6.751 26.923 12.053 3.19b -3.300b 9.710 2.925 9.769 2.709 1.17 0.109 85.435 29.719 97.921 6.821 18.98b 3.819b 48.290 11.022 41.205 18.638 2.86b -2,217b 9.968 2.594 11.051 2.235 1.35 3.903 2.027 1.359 1.709 1.41 20.710 4.951 22.077 = Paras keertian .05 = Paras keertian .01 = QCC, Bukan QCC 76 3.710 2.277s -6.876b a 1.78 1.742 PENEMUAN DWI-VARIAT Analisis penemuan dwi-variat di bahagian ini berdasarkan matriks korelasi (zero order) bagi setiap dimensi keberkesanan per- lakuan kumpulan kerja. Dimensi itii ialah peratusan cadangan projek diterima oleh pengurusan (Yj), kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan (Y2), dan kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan (Y3), Dalam membuat analisis matriks korelasi bagi setiap dimensi tersebut, kesan jenis kumpulan kerja (SGA) iaitu QCC dan Bukan QCC akan dijadikan konstan. Ini membolehkan kita menganalisis pembolehubah yang mempunyai perkaitan berertian secara statistik dengan lebih sistematik dan terkawal. Peratusan Cadangan Projek Diterima Oleh Pihak Pengurusan (YJ Jadual 3 menunjukkan matriks korelasi untuk seluruh sampel. Pembolehubah-pembolehubah dalam model empirik yang mempunyai perkaitan-perkaitan secara berertian dari segi statistik dengan peratu- san cadangan projek diterima oleh pengurusan (Y a ) merangkumi pembolehubah proses kumpulan seperti proses intra kumpulan, pengurusan sempadan, dan sumber bahan serta pembolehubah kumpulan dan persekitaran iaitu saiz purata kumpulan, sistem maklumat, dan sokongan pengurusan. Antara korelasi-korelasi itu, terdapat lima korelasi terbaik seperti proses intra kumpulan, Xj (r=.286); pengurusan sempadan, X4 (r=.222); saiz purata kumpulan, X12 (r=-.238); sistem maklumat, X19 (r=.228); dan sokongan pengurusan, X 2 i (r=.227). Korelasi yang baik ialah sumber bahan , X5 (r=.180). Perbezaan Jenis Kumpulan Kerja (SGA): Apabila identiti jenis kumpulan kerja (SGA) dijadikan konstan, terdapat satu corak1 perkaitan dwi-variat dalam sampel sampingan QCC (Jadual 4) yang hampir sama dengan seluruh sampel. Kecuali pengurusan sempadan, sumber bahan, dan sistem maklumat, terdapat perkaitan secara berertian di antara peratusan cadangan projek diterima oleh pengurusan dan pembolehubah antejadian yang tertentu dalam sampel sampingan QCC. Korelasi-korelasi terbaik untuk peratusan cadangan projek diterima oleh pengurusan merangkumi saiz purata kumpulan, X12 (r=—.284); dan sokongan pengurusan X 2 i (r=,311). Lain korelasi yang penting termasuk proses intra kumpulan, Xa (r=.245). Mungkin keadaan ini wujud disebabkan oleh saiz sampel: sampel QCC adalah lebih besar, lebih kurang 70 peratus dari seluruh sampel. Maka pekali-pekali dalam sampel QCC akan mempunyai nilai-nilai hampir dengan pekali-pekali dalam seluruh sampel, tetapi bukan semestinya dalam segala perhubungan. Tetapi disebabkan oleh saiz sampel yang lebih kecil (30 peratus dalam sampel Bukan QCC), pekalipekalinya harus ditaksirkan secara berhati-hati kerana kemungkinan pekali-pekali itu tidak boleh dipercayai (unreliable). 77 JADUAL 3 MATRIKS KORELASI (ZERO ORDER) UNTUK SELURUH SAMPEL (N = 132) Y, Y] Yz Y3 Xt Xz Xj X4 X5 X6 X7 XB X9 X10 XM X, 2 X, 3 X,, X 15 X, 6 XI7 X, g X,9 X ZD X zl CADANC PASUKAN SIKAP !NTRA STRATEGI INPUT SEMPADAN BAHAN LELAKI TURUN KEBOLEH SEPADU PIMPIN KOM SAIZ JEN1S TEKNIK ALAT BAHAGI PEJABAT LATIH MAKLUM GANJAR SOKONG Y3 1 145 1 .228b -586b 286b 514b .492b - 008 .241b 264b 109 .384b .390* .222b .317b 435b 180' .322b .312b 170 - 065 .163 -.030 - 035 -.060 021 -337b .441b 075 .451b ,537b .398b .389b .152 -.238b -.114 -.010 .053 -340b -.043 .017 .39Bb .066 .356b - 048 -.220' .159 .432b -228b .460b -.003 .230b -227b -454b .031 ' Di paras keeitian 0.05 b Y, Di paras keerttan 0 01 X, 1 ,235b X, X3 X, XB X6 X7 XB X9 X1() Xn Y A 12 'A Y 13 Y A 14 X 1B X 16 X 17 X 1S X 19 X 20 X 1 3Blb 329b 1 .247 -326b .290b .276b 140 307b .028 090 - 054 1 236b 1 214* •-.097 1 006 - 030 - 064 -.051 .084 222b 1 .290b 158 157 237b 202' 226b -.031 1 437b 1 -532b 284b 406b 32 7b .210' 223b -.077 159 - 074 -.034 -316b .39Bb 1 31 Ob -342b 324b .304b .214* .42Bb .360b .226b 178* 289b .123 .457b .4Blb .243b 1 .096 054 -.187' -.280b -148 - 107 - 166 .024 -.186' .049-.036 - .110 -.058 -.150 1 -.110 -.111- 183* .058 - 141 OBO - 4BOb -.020 -.267b - 243b -.006 -.124 197* 1 b b b b b b b .227 149 310 -.349 -.070 .188' .133 .34 Bb 1 .242 .3U 303 .403 .174* 047 339b .644b 1 ,325b -280b 200* 274b 344b .314b - 189' .028 -269b .209' 422b .187* .037 231b -295b 29 5b 477b .269b 179* - 118 .024.348b 2B9b ,348b .189' - 044 - 010 ,389b .355b 1 b -.178* - 114 061 - 042 - 127 --007 042 -.054 - 070 --206» -.176* -.132 -.019 - 222 - 073 - 223b -.073 1 b b 231b 607b .693 455b-.103 385b -349b 223b 394b 339** 41 3 - 110 -015 -369b 262b .385b .276b 032 b 376b-.067 516b .461b 386b 51 5b 421b .434b 035 -.112 330b 509b .406b 338b - 136 -.196' -310b 334 b 2141 .083 06 B 225b 253b .101 - 097 .044 - 033 .127 .091 120 .516b 342 404b .092 -,246b .112 b .463b .503b 286b .508b .294b -334b 079 -.008 .312b 54Bb .40 l .340b -.062 - 135 168 .250b .2Blb .031 1 450b 1 -349b 094 1 .342b .621b .168 1 Z1 JADUAL 4 MATRIKS KORELASI (ZERO ORDER) UNTUK SAMPEL SAMPINGAN Q£C (N = 93) YI Y, Yz Y3 X, CADANG PASUKAN SIKAP INTRA X2 STRATEG1 X3 X4 X5 INPUT SEMPADAN BAHAN X6 LELAKI X7 X8 Xg X10 Xn Xu XM X16 X16 X17 X]8 Xlg X20 X21 TURUN KEBOLEH SEPADU PIMPIN ROM SAIZ TEKNK ALAT BAHAGI PEJABAT LATIH MAKLUM GANfAR SOKONG Y 3 v A l Xi X, X4 XB X6 X7 X8 X9 X10 Xn X M, X14 X1S X,8 X,T Xla X1B XM XZ1 1 .1001 .216* -608b 1 245* .4B2b 498b 1 .205' 175 1 b b 358b 1 .001 -464b 409 -473 .1312BOb 4B8b .199 .264b .344b 1 b b b 387 360 .317 141 330b .198 1 124 .19 - 4 076 148 -.056 -.025 -.123 .152 -.123 1 .019 - 02B -044 .142 -.009 261* 1 009 Oil - Oil 1 -.015 404b 477b .234* .159 .26Bb ,284b .244* .068 .007 b b b b 11 1 .076 .466 .504 -539 192 439* .37 2 .250* .130- 091 45B b b 366b -424b .271b .274b - .142 006 .410b .484b 1 -111 .466b 406 -466 .119 3Blb 499b .37 lb .166 .244* .35Bb .188 - .014 .184 439b -482b 29911 1 -.284b -.119 -.230' -.271b -.125 - 206* -.193 -.092 - .100 - 013 022 .003 - 072 -.110 b b b b b -.034 .305b .208' .413b .267b -320b 253' .206' .306 .374 .3B6 .2B2 - ,307 -.091 .028 .439b 371b .33911 .204* .419b .428b .247* - .113 .075 3B4b -314b 474b -3Blb b - 047 .357 200 .33 lb .299b 528b .229b .182 - .200 .014 .377b -312b 4B9b .207* -.052 -.223* -.218' -.151 .036 -.028 -.194 .003 - .071 -.075 - 167 --292b - 225* -.195 b b b b 472b -409b .41 8b .416b 169 -531b .490*" .396b .278 .522 .432 .405 - .071 -.027 b 180 .513b .504b .423b .326b .537 .405b .453b - 134 -.128 -311b -469b -548b -370b 239' 399b 012 189 .017 140 003 .228* .346b .183 .200 -356b 062 320b b b 517b .285 413b- 001 .021 317b -5B2b 573b 40Bb .31 lb -519b .4 SB6 .542b .268 - 092 * Di paras keertian 0 05 b Y* Di paras keertian 0.01 191 1 -.088 -.013 -529b 1 -.143 -418b -463b 1 1 .041 -.005 -.243* -.071 -.182 521b .546b MfP -.089 1 -.092 475b -522b -403b -.125 .566b - 046 112 .184 .026 -.154 .211' - 058 247* .389b .284b -.004 .464b 1 1 231* 1 627** 334b 1 JADUAL 5 MATRIKS KORELASI (ZERO ORDER) UNTUK SAMPEL SAMPINGAN BUKAN QCC (N = 39) Y, Y, Yz Ys Xj Xj X3 X4 Xs XB X7 Xa Xe X10 Xn X, z X, 4 X, B Xt6 X17 X 1B X ]9 XM X21 CADANG PASUKAN SKAP INTRA STRATEGI INPUT SEMPADAN BAHAN LELAKI TURUN KEBOLEH SEPADU PIMPIN ROM SAIZ TEKNIK ALAT BAHAGI PEJABAT LATIH MARLUM GANJAR SOKONG Y si X, X, X3i 079 - 12Q 219 542b 254 -47Sb - 170 -.154 E44b 083 -493b 090 .201 303 - 039 -.260 .422b 42 5b 391' 190 .014 50 Sb 380* .33B* 361* 341* - 060 .201 - Ill - 264 - 245 -.205 171 364' 003 193 334' 367' 268 257 388* 524b 217 441b .413b .533b 113 .350' Xs *< 1 1 276 .273 550b 1 388' 662b 455b 1 1 208 .486b 41 Bb 356* 31.195 6* 402* 219 330* 1 b 326* 310 381* 464 426b .238 1 304 .131 211 207 .190 340' .254 204 138 005 125 .195 356' .315 - 126 - 181 - 240 - 172 -.196 -.063 -.034 290 32 5J 357' -.002 084 .025 .084 ' Di paras keertian 0.05 Di paras keertian 0.01 b YZ .498b .462b .172 .099 .132 .309 081 .089 -.105 .013 -.073 412b .184 .381* ,461b 113 -423b 296 .378' .225 -.144 -.098 -.178 .320* .248 343* -487b .558b ,431b .250 158 .211 .379' .271 .574b .301 X6 X,' Xg **9 *MG. *11 X lz XH x,B xle x]7 x1B xla x™ xz] 1 .130 1 .048 .170 1 .200 .338* -.144 1 182 .130 - 334' 245 1 237 1 -.067 .116 -.122 .183 b b .018 248 -.265 432 ,441 .145 1 .205 - 193 .191 1 .024 -.255 -.036 -.076 .098 1 .377* .145-.001 .360* .361* .480*" 190 b 757b 1 430b .141- 013 -456b .424* .445 .119 -.053 .047 .149 174 .181.053 .330' 242 155 .420b .308 1 .042 -.028 .046 - 109 - 192 -.056 -.169 -.054 .109 -.030 -.226 1 .386* .218 .168 ,715b .770b .493b .050 1 .451b .194 .013 482b .280 .56011 111 465b 342* - 089 .252 193 - 128 229 365* .3191 -.095 .516b .261 .189 210 .091 .314-.114 171 472b 496b .382* -.342* .42& .146 146 .164 - 125 225 326' -.022 108 .015 187 .266 .190 .073 .326* 1 .236 1 .56 lb .074 1 Seterusnya terdapat lima korelasi berertian di antara pembolehubah k u m p u l a n dan persekitaran serta pembolehubah proses kumpulan dengan peratusan cadangan projek diterima oleh pengurusan dalam sampel sampingan Bukan QCC (Jadual 5). Walau bagaimanapun pekali-pekali berkenaan adalah lebih tinggi berbanding dengan sampel sampingan QCC dan seluruh sampel. Misalnya proses intra kumpulan, XT (r=.388 untuk Bukan QCC Iwn r=.245 untuk QCC); pertimbangan input individu, X 3 (r=.316 untuk Bukan QCC Iwn r = .001 untuk QCC); pengurusan sempadan, X4 (r=.381 untuk Bukan QCC Iwn r=.131 untuk QCC); pembahagian tugas, X1B (r=.338 untuk Bukan QCC Iwn r=-.047 untuk QCC); dan sistem maklumat, X19 (r=.364 untuk Bukan QCC Iwn r=.180 untuk QCC). Data-data itu menunjukkan pembolehubah-pembolehubah tersebut mempunyai kesan-kesan yang lebih tinggi terhadap peratusan cadangan projek diterima oleh pengurusan dalam sampel Bukan QCC berbanding dengan sampel QCC. Antara pembolehubah-pembolehubah tersebut, kecuali proses intra kumpulan, pembolehubahpembolehubah lain seperti pertimbangan input individu, penguru- san sempadan, pembahagian tugas, dan sistem maklumat merupakan pembolehubah-pembolehubah yang penting khas untuk peratusan cadangan projek diterima oleh pengurusan dalam sampel Bukan QCC. Secara rumusan penemuan yang dibincangkan mencerminkan corak perkaitan dwi-variat yang lebih kurang konsisten di antara bebe- rapa pembolehubah kumpulan dan persekitaran serta pembolehubah proses kumpulan dengan peratusan cadangan projek diterima oleh pengurusan untuk seluruh sampel dan sampel sampingan QCC. Walau bagaimanapun satu perkara yang menarik yang dapat diru- muskan daripada penemuan yang dibincangkan ialah kumpulan Bukan QCC lebih menitikberatkan pertimbangan input individu dan pembahaigan tugas dalam usaha meningkatkan peratusan cadangan projek diterima oleh pengurusan. Kesanggupan Ahli-Alili Kumpulan Bekerjasama Secara Pasukan (Y2) Jadual 3 menunjukkan kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan (Y 2 ) mempunyai lebih korelasi berertian secara statistik berbanding dengan peratusan cadangan projek yang diterima oleh pengurusan (YJ. Terdapat kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan memperolehi perkaitan sangat berertian de- ngan segala pembolehubah proses kumpulan iaitu proses intra kumpulan, X: (r-.514); perbincangan strategi, X2 (r=.241); pertimbangan input individu, X 3 (r=.384); pengurusan sempadan, X4 (r=,317); dan surnber bahan, X 5 fr=.322). Tambahan pula kesanggupan ahliahli kumpulan bekerjasama secara pasukan berkait secara berertian dengan pembolehubah kumpulan dan persekitaran. Kecuali korelasi 81 pembahagian jam mesyuarat, X17 (r=-,220) yang baik, yang lain merupakan korelasi-korelasi terbaik seperti kebolehan dan kemahiran, X8 (r=.337); kesepaduan, X9 (r=.45l); kepimpinan, X10 (r=.398); komunikasi, X ai (r=.389); teknik keputusan berkumpulan, X14 (r=.340); alat statistik, X15 (r=.398); pembahagian tugas, X16 (r=.356); latihan, X18 (r=.432), sistem maklumat, X19 (r=.460); sistem ganjaran, X 20 (r=.230);. dan sokongan pengurusan, X 2 i (r=.454). Perbezaan Jenis Kumpulan Kerja (SGA): Apabila jenis kumpulan kerja (SGA) dikawal, terdapat korelasi-korelasi berertian yang sama untuk kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan dalam seluruh sampel dan juga dalam sampel sampingan QCC kecuali untuk perbincangan strategi (Jadual 4). Pembolehubah yang mempunyai perkaitan berertian dengan kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan meliputi pembahagian jam mesyuarat, X17 (r=-,223), dan sistem ganjaran, X 20 (r=.228); keduadua itu adalah kurang penting berbanding dengan pembolehubah lain yang lebih penting seperti proses intra kumpulan X j (r=.482); pertimbangan input individu, X3 (r=.464); pengurusan sempadan, X4 (r=.280); sumber bahan, X 5 (r=.387); kebolehan dan kemahiran, X8 (r=.404); kesepaduan, X9 (r=.466); kepimpinan, X10 (r=.466); komunikasi, X n (r=.38l); teknik keputusan berkumpulan, X 14 (r=.320); alat statistik, X15 (r=.439); pembahagian tugas, X16 (r=,357); latihan, X18 (r=.53l); sistem maklumat, X1Q (r=.513); dan sokongan pengurusan, X 21 (r-.519). Untuk sampel sampingan Bukan QCC (Jadual 5), terdapat kurang korelasi-korelasi berertian bagi kesanggupan ahli-ahli kumpu- lan bekerjasama secara pasukan berbanding dengan sampel sampingan QCC dan seluruh sampel. Pembolehubah yang mempunyai perkaitan berertian dengan kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan dalam sampel Bukan QCC termasuk pembahagian tugas, X16 (r=.361); latihan, X18 (r=.334); dan sistem maklumat, X19 (r=.367); ketiga-tiga itu kurang penting berbanding dengan pembolehubah lain yang lebih penting iaitu proses intra kumpulan, X a (r=,662); perbincangan strategi, X 2 (r=.486); pengurusan sempadan, X 4 (r=.464); kesepaduan, X 9 (r=.542); komunikasi, X n (r=.475); teknik keputusan berkumpulan, X14 (r=.422); dan alat statistik, X15 (r=.425). Sebagai rumusannya penemuan yang dihasilkan menunjukkan satu corak perkaitan dwi-variat yang konsisten di antara kebanyakan pembolehubah kumpulan dan persekitaran serta pcmbolehubah proses kumpulan dan sumber bahan dengan kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan. Memang konsistenan itu boleh didapati dalam seluruh sampel, sampel sampingan QCC, dan sampel sampingan Bukan QCC. 82 Kejayaan Perubahan Sikap Positif Ahli-Ahli Kumpulan Hasil Daripada Pengalaman Kumpulan (Y3) Jadual 3 menunjukkan kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan (Y3J memperolehi korelasi-korelasi berertian yang sama dengan kesanggupan ahli-ahli kumpulan b'ekerjasama secara berpasukan (Y 2 ). Di samping itu kejayaan perubahan sikap positif hasil daripada pengalaman kumpulan mempunyai perkaitan berertian dengan saiz purata kumpulan. Korelasi-korelasi yang baik bagi kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan termasuk saiz purata kumpulan, X12 (r=—.187); pembahagian jam mesyuarat, X17 (r=-.178); dan sistem ganjaran, X20 (r=.214). Manakala korelasikorelasi terbaik merangkumi proses intra kumpulan, X t (r=.492); perbincangan strategi, X 2 (r=.264); pertimbangan input individu, X3 (r=,390); pengurusan sempadan, X 4 (r=.435); sumber bahan, X 5 (r=.312); kebolehan dan kemahiran, X8 (r=.44l); kesepaduan, X 9 (r=.537); kepimpinan, X10 (r=.310); komunikasi, X n (r=.426); teknik keputusan berkumpulan, X 14 (r=.227); alat statistik, X15 (r=.325); pembahagian tugas, X16 (r=.23l); latihan, X18 (r=.385); sistem maklumat, X19 (r=.516); dan sokongan pengurusan, X21 (r=.463). Perbezaan Jenis Kumpulan Kerja (SGA): Apabila jenis kumpulan kerja (SGA) dijadikan konstan, terdapat kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan dalam sampel sampingan QCC (Jadual 4) memperolehi korelasi-kore- lasi berertian yang lebih kurang sama dalam seluruh sampel. Walau bagaimanapun pembolehubah yang sangat penting iaitu pembahagian tugas yang didapati dalam seluruh sampel tidak menjadi penting dalam sampel sampingan QCC. Korelasi-korelasi yang baik bagi kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan dalam sampel sampingan QCC meliputi perbincangan strategi, X2 (r=.205); saiz purata kumpulan, X 12 (r=-.230); teknik keputusan berkumpulan, X14 (r=.253); dan pembahagian jam mesyuarat, X17 (r=-.218). Manakala korelasi-korelasi terbaik merangkumi proses intra kumpulan, X^ (r=,498); pertimbangan input individu, X3 (r=.409); pengurusan sempadan, X4 (r=.488); sumber bahan, X 5 (r=.360); kebolehan dan kemahiran, X8 (r=.477); kesepaduan, Xg (r=.504); kepimpinan, X10 (r=.406); komunikasi, X n (r=.499); alat statistik, X15 (r=.37l); latihan, X18 (r=.490); sistem maklumat, X19 (r=.504); sistem ganjaran, X 2 o (r=.346); dan sokongan pengurusan, X21 (r=.458). Seterusnya sampel sampingan Bukan QCC (Jadual 5) menunjukkan kekurangan korelasi berertian bagi kejayaan perubahan sikap 83 positif ahli-ahli kumpulan berbanding dengan sampel sampingan QCC. Kecuali pembolehubah pembahagian tugas, segala pembolehubah yang penting bagi kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan dalam sampel sampingan Bukan QCC boleh didapati juga dalam sampel sampingan QCC. Korelasi yang baik untuk kejayaan perubahan sikap positif ahliahli kumpulan hasil daripada pengalaman kumpulan dalam sampel sampingan Bukan QCC meliputi pertimbangan input individu, X3 (r=.402); pengurusan sempadan, X4 (r=.326); kebolehan dan kemahiran, X8 (r=.325); teknik keputusan berkumpulan, X14 (r=.391); pembahagian tugas, X16 (r=.341); dan latihan, X18 (r=.388). Manakala korelasi terbaik termasuk proses intra kumpulan, X a (r=.455); perbincangan strategi, X 2 (r=.418); kesepaduan, X 9 (r=.644); alat statistik, X15 (r=.505); sistem maklumat, X19 (r=.524); dan sokongan pengurusan, X21 (r=.441). Secara kesimpulan analisis dwi-variat secara keseluruhan mem- perolehi had-had yang menyebabkan kesukaran dalam menjawab soalan-soalan penyelidikan yang dibincangkan awal dalam rencana pertama. Analisis itu tidak mengkaji tentang kemungkinan perkaitanperkaitan kepalsuan (spuriousness) yang diakibatkan oleh kesan pembolehubah yang mengelirukan (confounding variable) terhadap korelasi dwi-variat. Oleh itu analisis variat berganda akan diperkenalkan untuk mengatasi had-had tersebut. PENEMUAN VARIAT BERGANDA Tujuan asas untuk membuat penilaian awal penyuaian terbaik (goodness of fit)itu ialah untuk mengkaji pelanggaran-pelanggaran kasar terhadap model seperti "outliers", heteroscedasticiti, lengkung linear (curvilinearity), dan ketinggalan masa dan susunan (omission of time and order) (Cohen & Cohen, 1983 ; 127-130). Program komputer SAS seperti analisis reja piawai (standardized residual analysis) digunakan untuk mengenalpasti masalah-masalah yang tersebut khasnya masalah "outliers". Oleh kerana reja piawai mempunyai purata kosong dan unit sisihan piawai, model itu dianggap betul atau diterima apabila reja jatuh di antara ± 2 sisihan piawai (dirujuk daripada Aminudin, 1981: 118). Tambahan pula untuk menentukan kemungkinan kolinearan berganda [multicollinearity) di antara pembolehubahpembolehubah bebas, teknik "Variance Inflation Factor" dalam program komputer SAS digunakan. Seterusnya model ini akan diuji dengan mengawal kesan perbezaan jenis kumpulan kerja (SGA). Tujuan untuk mengawal kesan QCC dan Bukan QCC ialah untuk menspesifikasikan dengan jelasnya 84 perhubungan fungsional yang terlibat. Kajian-kajian lalu kurang mengkaji tentang kumpulan dalam organisasi. Kecuali kajian Gladstein (1984) yang berasaskan kumpulan-kumpulan jualan dalam organisasi, kebanyakan kajian lalu merupakan penyelidikan makmal. Maka kawalan untuk jenis kumpulan kerja (SGA) dalam kajian ini boleh memperbaiki teori keberkesanan perlakuan kumpulan kerja dengan memmjukkan perbezaan yang disebabkan oleh faktor tersebut. Ini akan menambahkan pengetahuan kita dalam bidang keberkesanan perlakuan kumpulan kerja di organisasi dalam konteks Semenanjung Malaysia. Penilaian Awal Tentang Penyuaian Keputusan tentang model penyuaian terbaik untuk seluruh sampel yang berdasarkan analisis rosot kembali langkah demi langkah (Stepwise Regression) dilaporkan di Jadual 6. Analisis reja menunjukkan bagi setiap pembolehubah bergantung, terdapat titik-titik "outliers" di mana reja-reja melebihi ± 2 sisihan piawai. Tetapi kes-kes "outliers" itu bagi pembolehubah bergantung iaitu, Y 2 , dan Y3 adalah kurang daripada dua peratus1 jumlah sampel. Oleh itu tidaklah perlu untuk kita menghapuskan kes-kes itu dalam penganalisaan model muktamad bagi pembolehubah bergantung yang tersebut. Manakala kes-kes "outliers" bagi pembolehubah bergantung iaitu, Y t ialah 2.3 peratus jumlah sampel. Oleh kerana kes-kes itu dalam lingkungan lebih kurang 2 peratus jumlah sampel, maka tindakan tidak diambil untuk menghapuskan "outliers" itu. Berdasarkan analisis petak reja (residual plots), terdapat tiada masalah yang nyata berkenaan dengan lengkung linear, heteroscedasticiti, dan ketinggalan masa dan susunan bagi seluruh sampel. Manakala ujian kolinearan berganda juga menunjukkan tiada interaksi berertian di antara pembolehubah-pembolehubah antejadian bagi seluruh sampel, Jadual 7 dan 8 menunjukkan keputusan model keberkesanan perlakuan k u m p u l a n kerja u n t u k sampel QCC dan Bukan QCC berdasarkan analisis rosot kembali langkah demi langkah apabila kesan jenis kumpulan kerja (SGA) dikawal dalam model am. Analisis reja untuk model keberkesanan perlakuan kumpulan kerja untuk sam- pel QCC (Jadual 7) menunjukkan bagi setiap pembolehubah bergantung, terdapat juga "outliers" yang melebihi ± 2 sisihan piawai. Keskes "outliers" itu bagi pembolehubah bergantung iaitu, Y1( Y 2 , dan Y3 ialah 1.1 peratus sampel QCC. Maka kes-kes "outliers" itu tidak perlu dihapuskan. 1 Menurut Cohen & Cohen (1981 : 128), kes-kes "outliers" yang diantara satu dan dua peratus jumlah sampel tidak perlu dihapuskan 85 JADUAL 6 ANALISIS ROSOT KEMBALI (STEPWISE REGRESSION) LANGKAH DEMI LANGKAH UNTUK MODEL AM KEBERKESANAN PERLAKUAN KUMPULAN KERJA Pembolehubah Bergantung c1 Pembolehubah Peramal Berertian R Kuasa Dua (Beta) Ya CADANG X 21 SOKONG X, 2 SAIZ .077 .126 .263 -.222 Y2 PASUKAN Xl INTRA X i a LATIH X 9 SEPADU .265 .337 .371 .304 .269 .219 Y3 SIKAP X9 Xiq X4' X8 XT .288 .368 .407 .439 .186 .178 .203 .194 .205 SEPADU MAKLUM SEMPADAN KEBOLEH INTRA .467 Ip < 0.05 JADUAL 7 ANALISIS ROSOT KEMBALI (STEPWISE REGRESSION) LANGKAH DEMI LANGKAH UNTUK MODEL AM KEBERKESANAN PERLAKUAN KUMPULAN KERJA : SAMPEL QCC Pembolehubah Bergantung Y! CADANG Pembolehubah Peramal Berertian Kuasa Dua O1 (Beta) X 21 SOKONG X 12 SAIZ .097 .168 -.267 .348 .357 -.191 R Y2 PASUKAN X18 LATIH X21 SOKONG X 17 PEfABAT .282 .377 .413 Y3 SIKAP X 19 XB X, X4 .254 MAKLUM KEBOLEH INTRA SEMPADAN Ip < 0.05 86 .368 .444 .506 .296 ,178 .272 .304 .278 JADUAL8 ANALISIS ROSOT KEMBALI (STEPWISE REGRESSION) LANGKAH DEMI LANGKAH UNTUK MODEL AM KEBERKESANAN PERLAKUAN KUMPULAN KERJA : SAMPEL BUKAN QCC Pembolehubah Pembolehubah R Q1 Bergantung Peramal Berertian Kuasa Dua (Beta) Y, CADANG XI INTRA .174 Y2 PASUKAN Xt X, 4 Xn X18 INTRA TEKNIK KOM LATIH .438 Y3 SIKAP X9 SEPADU X15 ALAT .529 .591 .637 .414 .480 .627 .494 .265 -.336 .523 .283 Ip < 0.05 Seterusnya analisis petak reja untuk model keberkesanan perlakuan kumpulan kerja bagi sampel QCC memmjukkan tiada masalah yang nyata berkenaan dengan lengkap linear, heteroscedasticiti, dan ketinggalan masa dan susunan. Ujian kolinearan berganda juga menunjukkan tiada interaksi berertian di antara pembolehubah-pembolehubah antejadian bagi sampel QCC. Di samping itu analisis reja untuk model keberkesanan per- lakuan kumpulan kerja bagi sampel Bukan QCC (Jadual 8) menun- jukkan bagi setiap pembolehubah bergantung terdapat juga "outliers" yang melebihi ± 2 sisihan piawai. Memandangkan kes-kes "outliers" bagi pembolehubah bergantung iaitu, Y 2 , dan Y3 adalah lebih kurang dua peratus sampel Bukan QCC, maka "outliers" itu tidak perlu diha- puskan. Tetapi kes-kes "outliers" bagi pembolehubah bergantung iaitu Y t adalah 5.1 peratus sampel Bukan QCC. Oleh itu tindakan diambil untuk menghapuskan kes-kes "outliers" itu. Seterusnya analisis petak reja menunjukkan tiada masalah yang nyata berkenaan dengan Icngkung linear, heteroscedasciti serta ketinggalan masa dan susunan untuk sampel Bukan QCC. Ujian kolinearan berganda juga menunjukkan tiada interaksi berertian di antara pembolehubah-pembolehubah antejadian bagi sampel Bukan QCC. 87 .417 Keputusan Mulct am ad Tentang Model Am Keberkesanan Perlakuan Kumpulan Kerja Dalam analisis rosot kembali langkah demi langkah, pemboleh- ubah bergantung meliputi peratusan cadangan projek diterima oleh pengurusan (¥5), kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan (Y2), dan kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan (Y3). Manakala pembolehubah antejadian disifatkan sebagai pembolehubah peramal (predictor variables). Hanya pembolehubah antejadian yang mempunyai perkaitan berertian dengan pembolehubah bergantung di dalam analisis dwi-variat diambilkira dalam analisis rosot kembali langkah demi langkah itu. Cara itu membolehkan kita mewujudkan satu persamaan ramalan (prediction equation) untuk setiap pembolehubah bergantung dengan memilih satu pembolehubah antejadian pads satu masa, bermula dengan memilih pembolehubah antejadian yang merupakan peramal terbaik, Seterusnya lain pembolehubah antejadian ditambahkan secara langkah demi langkah sehingga terdapat tiada pembolehubah yang memperolehi sumbangan berertian dalam persamaan ramalan. Penambahan setiap pembolehubah antejadian dalam mod langkah demi langkah itu berasaskan nilai "F" minima 0.05. Terlebih dahulu analisis rosot kembali langkah demi langkah dijalankan atas model am keberkesanan perlakuan kumpulan kerja untuk seluruh sampel. Seterusnya analisis itu dijalankan dengan mengawal kesan jenis kumpulan kerja (SGA) iaitu QCC dan Bukan QCC. Peratusan Cadangan Projek Diterima oleh Pengurusan (YJ Merujuk kepada Jadual 6, saiz varians bagi Yj (peratusan cadangan projek diterima oleh pengurusan) yang dapat dijelaskan oleh pembolehubah bebas berertian bagi model am ialah 13 peratus (R2 = .126). Pembolehubah bebas terlibat termasuk sokongan pengurusan, X 2 i, (Beta = ,263); dan saiz purata kumpulan, X 12 (Beta = -.222). Ini menunjukkan kumpulan SGA yang meningkat peratusan cadangan projek diterima oleh pengurusan: diberi sokongan pengurusan; dan mirip kepada mempunyai saiz purata kumpulan yang kecil. Perbezaan Jenis Kumpulan Kerja (SGA): Apabila kesan jenis kumpulan kerja (SGA) dikawal dalam model am, saiz varians bagi Yj (peratusan cadangan projek diterima oleh pengurusan) yang dapat dijelaskan oleh pembolehubah bebas berertian bagi model QCC ialah 17 peratus (R2 = .168) (Jadual 7). Pembolehubah bebas terlibat termasuk sokongan pengurusan, X 21 (Beta = .296) dan saiz purata kumpulan, X 12 (Beta = -.267). Ini menunjukkan kumpulan QCC yang meningkat peratusan cadangan projek diterima oleh pengurusan: diberi sokongan pengurusan; dan mirip kepada mempunyai saiz purata kumpulan yang kecil. Walau bagaimanapun sokongan pengurusan 88 dan saiz purata kumpulan dalam model QCC mempunyai kesan-kesan yang lebih besar berbanding dengan kesan kedua-kedua pemboleh- ubah itu dalam model am. Contoh-contoh: sokongan pengurusan, X21 (Beta = .296 untuk model QCC Iwn Beta = .263 untuk model am); dan saiz purata kumpulan, X12 (Beta = -.267 untuk model QCC Iwn Beta =-.222 untuk model am). Manakala Jadual 8 menunjukkan saiz varians bagi Y t (peratusan cadangan projek diterima oleh pengurusan) yang dapat dijelaskan oleh pembolehubah bebas berertian bagi model Bukan QCC ialah 17 peratus (R2 = .174). Pembolehubah bebas terlibat termasuk proses intra kumpulan, Xj (Beta=.417). Ini bererti bahawa kumpulan Bukan QCC yang meningkat peratusan cadangan projek diterima oleh pengurusan berkomunikasi berterus-terang, sokong-menyokong pendapatp e n d a p a t , dan mengurangkan k o n f l i k interpersonal semasa bermesyuarat. Secara rumusan model QCC dan Bukan QCC merupakan modelmodel yang berupaya memberi penjelasan yang lebih tinggi berbanding dengan model am. Saiz varians bagi peratusan cadangan projek diterima oleh pengurusan dalam model QCC ialah 17 peratus (R2 = .168) (Jadual 7) dan 17 peratus (R 2 = .174) (Jadual 8) dalam model Bukan QCC berbanding dengan saiz varians sebanyak 13 peratus (R2=.126) (Jadual 6) dalam model am. Kesanggupan Ahli-Ahli Kumpulan Bekeijasama Secara Pasukan (Y2) Jadual 6 menunjukkan saiz varians bagi Y2 (kesanggupan ahli- ahli kumpulan bekerjasama secara pasukan) yang dapat dijelaskan oleh pembolehubah bebas berertian bagi model am ialah 37 peratus (R 2 = .371). Pembolehubah bebas terlibat termasuk proses intra kumpulan, X a (Beta = .304); latihan, X18 (Beta = .269); dan kesepaduan, X9 (Beta = .219). Data-data tersebut menunjukkan kumpulan SGA yang mempunyai ahli-ahli yang sangat sanggup bekerjasama secara pasukan: mempraktikkan komunikasi berterus-terang, sokongmenyokong pendapat-pendapat, dan mengurangkan konflik interpersonal semasa bermesyuarat; diberi latihan yang mencukupi; dan berpandukan kepada konsensus kumpulan dalam mesyuarat demi untuk kepentingan dan kcbaikan kumpulan. Perbezaan Jenis Kumpulan Kerja (SGA): Apabila kesan jenis kumpulan kerja (SGA) dijadikan konstan dalam model am, saiz varians bagi Y 2 (kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan) yang dapat dijelaskan oleh pembolehubah bebas berertian bagi model QCC ialah 41 peratus (R 2 = .413) (Jadual 7). Pembolehubah bebas terlibat termasuk sokongan pengurusan, X 21 (Beta = .357); latihan, X 18 (Beta = .348); dan pembahagian jam 89 mesyuarat, X 17 (Beta = —.191). Ini bermaksud kumpulan QCC yang mempunyai ahli-ahli yang sangat sanggup bekerjasama secara pasukan: diberi sokongan pengurusan; diberi latihan yang mencukupi; dan kurang menggunakan jam waktu pejabat (regular meeting) berbanding dengan jam waktu sendiri (ad hoc meeting) dalam mengendalikan mesyuarat. Manakala Jadual 8 memmjukkan saiz varians bagi Y 2 (kcsanggupan ahli-ahli kumpulan bekerjasama secara pasukan) yang dapat dijelaskan oleh pembolehubah bebas berertian bagi model Bukan QCC ialah 64 peratus (R2 = .637). Pembolehubah bebas terlibat merangkumi proses intra k u m p u l a n , X^ (Beta = .627); teknik keputusan berkumpulan, X14 (Beta = .494); latihan, X 18 (Beta = -.336); dan komunikasi, X a i (Beta = .265). Data-data tersebut menunjukkan kumpulan QCC yang mempunyai ahli-ahli kumpulan yang sangat sanggup bekerjasama secara pasukan: berkomunikasi berterus-terang, sokong-menyokong pendapat-pendapat, dan mengurangkan konflik interpersonal semasa bermesyuarat; menggunakan teknik-teknik membuat keputusan berkumpulan; kurang memerlukan latihan dalam menyelesaikan projek; dan berkomunikasi secara aktif semasa bermesyuarat. Apabila kesan jenis kumpulan kerja (SGA) dijadikan konstan dalam model am, terdapat pembolehubah latihan kekal mempengaruhi kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan dalam model QCC dan Bukan QCC. Walau bagaimanapun kesan pembolehubah latihan mempunyai tahap kesan yang berlainan dalam model am, model QCC, dan model Bukan QCC. Contoh: latihan, X18 (Beta = -.336 untuk model Bukan QCC Iwn Beta = .348 untuk model QCC Iwn Beta = .269 untuk model am). Justeru itu arahan kesan pombolehubah latihan ke atas kesanggupan ahli-ahli kumpulan bckcr- jasama secara pasukan dalam model Bukan QCC merupakan satu kesan yang negatif. Di samping itu pembolehubah proses intra kumpulan kekal mempengaruhi kesanggupan ahli-ahli kumpulan bekerjasama secara p a s u k a n dalam model B u k a n QCC sahaja. Pembolehubah proses intra kumpulan mempunyai kesan yang lebih besar dalam model Bukan QCC berbanding dengan kesannya dalam model am. Contoh: proses intra kumpulan, X-[ (Beta = .627 untuk model Bukan QCC Iwn Beta = .304 untuk model am). Ringkasanya model Bukan QCC merupakan model yang memporolehi penjelasan yang lebih tinggi berbanding dengan model QCC dan model am (lihat Jadual 6, 7, dan 8). Saiz varians untuk kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan dalam model Bukan QCC ialah 64 peratus (R 2 =.637) berbanding dengan 41 peratus (R2=.413) dalam model QCC dan 37 peratus (R 2 = .371) dalam model am. 90 Kejayaan Perubahan Sikap Positif Ahli-Ahli Kumpulan Basil Da rip a da Pengalaman Kumpulan (Y3) Merujuk kepada Jadual 6, saiz varians bagi Y3 (kejayaan perubahan sikap positif ahli-ahli kumpulan basil daripada pengalaman kumpulan) yang dapat dijclaskan oleh pembolehubah bebas berertian bagi model am ialah 47 peratus (R2 = .467). Pembolehubah bebas terlibat meliputi proses intra kumpulan, X a (Beta = .205); pengurusan sempadan, X4 (Beta = .203); kebolehan dan kemahiran, X8 (Beta = .194); kesepaduan, X9 (Beta = .186); dan sistem maklumat, X19 (Beta = .178). Ini menunjukkan kumpulan SGA yang mencapai kejayaan perubahan sikap positif di kalangan ahli-ahli hasil daripada pengalaman kumpulan: berkomunikasi berterus-terang, sokong-menyokong pendapat-pendapat, dan mengurangkan konflik interpersonal semasa bermesyuarat; berhubung dengan kumpulan-kumpulan atau individuindividu di dalam dan luar syarikat untuk menjayakan projek; mempunyai ahli-ahli kumpulan yang pelbagai bakat; berpandukan kepada konsensus kumpulan dalam mesyuarat demi untuk kepentingan dan kebaikan kumpulan; dan mempunyai sistem maklumat yang berkesan di mana mereka diberi maklumat-maklumat penting oleh ketua jabatan dalam mengendalikan projek. Perbezaan Jenis Kumpulan Kerja (SGA): Apabila kesan jenis kumpulan kerja (SGA) dijadikan konstan dalam model am, saiz varians bagi Y 3 (kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan) yang dapat dijelaskan oleh pembolehubah bebas berertian bagi model QCC ialah 51 peratus (R2 = .506) (Jadual 7). Pembolehubah bebas terlibat termasuk proses intra kumpulan, X t (Beta = .304); pengurusan sempadan, X4 = (Beta = .278); kebolehan dan kemahiran, X8 (Beta = .272); dan sistem maklumat, X19 (Beta = .178). Data-data itu menunjukkan kumpulan QCC yang mencapai kejayaan perubahan sikap positif di kalangan ahli-ahli hasil daripada pengalaman kumpulan: berkomunikasi berterus-terang, sokong-menyokong pendapat-pendapat, dan mengurangkan konflik interpersonal semasa bermesyuarat; berhubung dengan kumpulankumpulan atau individu-individu di dalam dan luar syarikat untuk menjayakan projek; mempunyai ahli-ahli kumpulan yang pelbagai bakat; dan memperolehi sistem maklumat yang berkesan di r, ana mereka diberi maklumat-maklumat penting oleh ketua jabatan dalam mengendalikan projek. Manakala Jadual 8 menunjukkan s"aiz varians bagi Y3 (kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman k u m p u l a n ) yang dapat dijelaskan oleh pembolehubah bebas berertian bagi model Bukan QCC ialah 48 peratus (R 2 = .480). Pembolehubah bebas terlibat merangkumi kesepaduan, X 9 (Beta = .523); dan alat statistik, X 15 (Beta = .283). Ini bermaksud kumpulan 91 Bukan QCC yang mencapai kcjayaan perubahan sikap positif di kalangan ahli-ahli hasil daripada pengalaman kumpulan: berpandukan kepada konsensus kumpulan dalam mesyuarat demi untuk kepentingan dan kebaikan kumpulan; dan menggunakan alat-alat statistik dalam menyelesaikan projek, Rumusannya apabila kesan jenis k u m p u l a n kerja (SGA) dijadikan konstan dalam model am, terdapat empat pembolehubah berertian untuk kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan dalam model QCC. Semua pembolehubah itu boleh juga didapati dalam model am di mana pembolehubah sistem maklumat mempunyai kesan yang sama dan pembo- lehubah-pembolehubah lain mempunyai kesan-kesan yang lebih besar dalam model QCC berbanding dengan kesan-kesan pembolehubahpembolehubah dalam model am. Di samping itu terdapat dua pembolehubah yang penting untuk kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan dalam model Bukan QCC. Antaranya hanya pembolehubah kesepaduan juga didapati dalam model am. Tetapi pembolehubah kesepaduan mempunyai kesan yang lebih besar dalam model Bukan QCC berbanding dengan model am. Ringkasannya model QCC dan Bukan QCC merupakan modelmodel yang berupaya memberi penjelasan yang lebih tinggi berbanding dengan model am. Saiz varians bagi kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan dalam model QCC ialah 51 peratus (R 2 =.506) [Jadual 7) dan 48 peratus (R2=.480) (Jadual 8) dalam model Bukan QCC berbanding dengan saiz varians sebanyak 47 peratus (R2=.467) (Jadual 6) dalam model am. RINGKASAN DAN KESIMPULAN Artikel ini telah membincang pcnemuan-penemuan secara saling berkaitan dari segi ketiga-tiga analisis univariat, dwi-variat, dan variat berganda. Analisis univariat itu tertumpu kepada taburan kekerapan dan. perbezaan berertian tentang jenis kumpulan ker.ja (SGA) dari sudut peratusan dacangan projek yang diterima oleh pengurusan, kesanggupan ahli-ahli kumpulan bekerjasama secara pasukan, dan kejayaan perubahan sikap positif ahli-ahli kumpulan hasil daripada pengalaman kumpulan. Seterusnya analisis dwi-variat mengkaji perkaitan berertian di antara pembolehubah-pembolehubah antejadian dan pembolehubah bergantung di kalangan seluruh sarnpel. Di samping itu jenis kumpulan kerja (SGA) juga dikawalkan dalam analisis dwi-variat itu. Akhirnya analisis variat berganda digunakan untuk menentukan sccara perbandingan pembolehubah peramal berertian terhadap keberkesanan perlakuan kumpulan kerja. 92 BIBLIOGRAFI Aminudin Sulaiman (1981), A Multi-variate Model of Rural Mobility in Peninsular Malaysia. Unpublished Ph.D dissertation, Syracuse University, Ann Arbor: University Microfilm International. Cohen, J. & Cohen, P. (1983). Applied Multiple Regressiori'/Correlation Analysis for the Behavioural Science, 2nd edn. New Jersey: Lawrence Erlbaum Associates Inc. 93