- Data Envelopment Analysis: Ali Emrouznejad`s DEA

Transcription

ARTICLE IN PRESS
If using this paper please cite:
Emrouznejad, A. Parker, B. and G. Tavares (2008): Evaluation of research in efficiency and
productivity: A survey and analysis of the first 30 years of scholarly literature in DEA
Journal of Socio-Economics Planning Science, 42(3) 151-157.
Socio-Economic Planning Sciences 42 (2008) 151–157
www.elsevier.com/locate/seps
Evaluation of research in efficiency and productivity: A survey
and analysis of the first 30 years of scholarly literature in DEA
Ali Emrouznejada,, Barnett R. Parkerb, Gabriel Tavaresc
a
Operations &Information Management, Aston Business School, Aston University, Birmingham B4 7ET, UK
b
Graduate School of Business, Pfeiffer University, Charlotte, NC 28209, USA
c
RUTCOR, Rutgers Centre for Operations Research, Rutgers University, 640 Bartholomew Road, Piscataway, NJ, 08854-8003, USA
Available online 4 March 2008
The authors wish to dedicate this compendium of DEA’s historical accomplishments to one of its founders, Professor William W. Cooper
Abstract
Since the original Data Envelopment Analysis (DEA) study by Charnes et al. [Measuring the efficiency of decisionmaking units. European Journal of Operational Research 1978;2(6):429–44], there has been rapid and continuous growth
in the field. As a result, a considerable amount of published research has appeared, with a significant portion focused on
DEA applications of efficiency and productivity in both public and private sector activities. While several bibliographic
collections have been reported, a comprehensive listing and analysis of DEA research covering its first 30 years of history is
not available.
This paper thus presents an extensive, if not nearly complete, listing of DEA research covering theoretical developments
as well as ‘‘real-world’’ applications from inception to the year 2007.
A listing of the most utilized/relevant journals, a keyword analysis, and selected statistics are presented.
r 2007 Elsevier Ltd. All rights reserved.
Keywords: Data Envelopment Analysis; Bibliography; Survey
1. Introduction
The present bibliography includes most of the references published in the field of Data Envelopment
Analysis (DEA) up to the year 2007. Some publications in 2007 are also listed, but not included in the
statistics. To the best of the authors’ knowledge, this listing appears to be the most complete source of
references on DEA and its applications in measuring the efficiency and productivity of decision making units
(DMUs). The authors hope that this new updated bibliography will assist researchers and other scholars as
they develop new frontiers in DEA.
Corresponding author. Fax: +44 121 204 5271.
E-mail addresses: a.emrouznejad@aston.ac.uk (A. Emrouznejad), Barnett.Parker@Pfeiffer.edu (B.R. Parker), rrr@rutcor.rutgers.edu
(G. Tavares).
0038-0121/$ - see front matter r 2007 Elsevier Ltd. All rights reserved.
doi:10.1016/j.seps.2007.07.002
ARTICLE IN PRESS
152
A. Emrouznejad et al. / Socio-Economic Planning Sciences 42 (2008) 151–157
2
The authors wishes to thank all those colleagues who continue to submit copies of their papers at http://
www.deazone.com/bibliography [2], and would appreciate receiving additional DEA-related articles for
incorporation into future versions of the bibliography. Due to sheer size and volume, however, it is not
possible to guarantee a complete absence of inaccuracies or omission of data. Should you find any error(s),
please feel free to report them to the authors at biblio@DEAzone.com.
2. DEA bibliography
In 1995, the website www.DEAzone was created with the hope of including the full set of DEA resources
under a single ‘‘umbrella,’’ to be accessed by interested researchers and practitioners. Since then, our DEA
bibliography has been regularly updated with the kind support of its many users.
Several other bibliographies have also been reported in the literature, including those of Tavares [3],
Emrouznejad and Thanassoulis [4–6], Seiford [7–8] and Gattoufi et al. [9–10]. In compiling the current
bibliography, the authors expanded boundaries by searching a variety of both traditional and newer databases
including Science Direct (www.sciencedirect.com), EBSCO (www.ebsco.com), Google Scholar (http://
scholar.google.com), JSTOR (http://uk.jstor.org/) and Pro-Quest (http://proquest.umi.com).
The evolution of DEA as a worldwide accepted OR/MS tool has been tracked here in terms of the increases
of both publications and authors. It is apparent from our analysis of DEA’s keywords/subject matter, that the
method is emerging as a significant and essential tool in a large number of diverse management science fields.
Our extensive literature searches have identified more than 4000 research articles published in journals
or book chapters. Books and papers published in/as conference proceedings were also included; but,
articles presented at various events and working/research papers published as internal documents, were
not considered. To provide some sense of the field’s ongoing expansion, had we included unpublished
dissertations, working/research manuscripts, and papers presented at conferences/events, the bibliography
count would have exceeded 7000 entries!
A classification of qualified articles by year reveals that a large percentage of the research pool has been
published in the last five years, with 2004 being the peak year for articles published in refereed journals.
Banking, education (including higher education), health care, and hospital efficiency were found to be the
most popular application areas. An overview of the DEA bibliography database through selected summary
statistics indicates that 89% of publications are in the form of journal articles, with 9.4% appearing as book
chapters or proceedings, and 1.6% as books themselves.
In total, 2500 distinct authors have been identified, with the average number of authors per publication
being nearly two. Based on approx. 75% of the data base, about 2000 distinct keywords were found, with an
average of 3.5 per publication.
The next section provides a series of selected statistics involving the papers, keywords, journals, and authors
within our DEA database.
3. DEA publication statistics
3.1. Statistics involving publications by year
Fig. 1 shows the distribution of DEA-related articles published by year. Note that between the seminal work
of Charnes, Cooper and Rhodes (CCR) in 1978 [1] and the year 1995, there was literally ‘‘exponential’’ growth
in the number of publications. Between 1995 and 2003, the number of relevant publications stabilized at about
226 per year. However, in last 3 years (2004–2006), the number again increased to approximately 360 per year.
These numbers suggest that, in the spirit of a product life cycle, a maturity phase for DEA began in or around
1995.
3.2. Statistics involving publications by journal
Table 1 lists the 20 journals that have published the greatest number of DEA papers in the past 30 years.
Journals such as European Journal of Operational Research, Journal of Productivity Analysis, and Journal of
ARTICLE IN PRESS
153
400
No of Publications
350
300
250
200
150
100
50
1978
1979
1980
1981
1982
1983
1984
1985
1986
1987
1988
1989
1990
1991
1992
1993
1994
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
0
Fig. 1. Distribution of DEA publications by year.
Table 1
The 20 journals that have published the greatest number of DEA papers
Journal
EJOR: European Journal of Operational Research
JPA: Journal of Productivity Analysis
JORS: Journal of the Operational Research Society
Applied Economics
Annals of Operations Research
Management Science
OMEGA
Applied Mathematics and Computation
Socio-Economic Planning Sciences
International Journal of Production Economics
Computer and Operations Research
International Journal of Systems Science
Journal of Econometrics
Applied Economics Letters
Journal of Banking and Finance
Health Care Management Science
Journal of Medical Systems
Journal of Operations Research Society of Japan
System Engineering Theory and Practice
Review of Economics and Statistics
Total
No. of papers
373
242
164
86
83
83
73
63
63
58
48
41
37
35
35
29
29
28
26
25
1621
% of papers
23.0
14.9
10.1
5.3
5.1
5.1
4.5
3.9
3.9
3.6
3.0
2.5
2.3
2.2
2.2
1.8
1.8
1.7
1.6
1.5
100.00
the Operational Research Society are the most utilized. The reason is clearly that DEA theory and many DEA
applications fall within the fields of operations research and management science, exactly the arenas covered
by these journals.
3.3. Statistics involving publications by authors
In total, 2500 distinct DEA authors were identified, with an average of two per publication. Approximately
30% of all publications were written by a sole/single author, while nearly 40% were prepared by two authors.
Fig. 2 shows the distribution of publications by number of authors.
3
ARTICLE IN PRESS
4
154
39.5%
40%
Percentage
35%
30%
30.3%
25%
21.2%
20%
15%
10%
6.6%
5%
2.1%
0%
1
2
5
3
4
Number of authors
0.3%
0.1%
6
7
Authors with most references
Fig. 2. Distribution of publications by number of authors.
Seiford, Lawrence M.
Cook, Wade D
Zhu, Joe
Sueyoshi, Toshiyuki
Banker, Rajiv D.
Thanassoulis, Emmanuel
Lovell, C. A. Knox
Charnes, Abraham
Sengupta, Jati K.
Grosskopf, Shawna
Färe, Rolf
Cooper, William W.
0
2
4
6
8
10
12
14
Percentage of publications written by top 12 authors
16
Fig. 3. Percentage of publications of the ‘‘top’’ 12 authors, by author. NOTE: Only DEA-related publications of the authors are included.
Interestingly, 22% of all papers were written by the ‘‘top’’ 12 authors. William W. Cooper, one of the
founders of DEA, is the author with most references in the DEA database. He had a total of 122 publications,
which represents nearly 14% of relevant papers written by these 12 authors. Fig. 3 shows the distribution
of contributions made by each of the authors. They have all likely published other papers, but they were not
included in the current study as the data base is (obviously) restricted to DEA-related research.
3.4. Statistics involving number of pages (size) of publications
In excess of 55,000 pages of scholarly publications have been written on DEA-related material over the last
30 years, with an average of 12.5 pages per article. Nearly 20% of the manuscripts are between nine and 11
pages in length, with approximately 70% being between seven and 17 pages. Fig. 4 shows the distribution of
articles by number of pages. Overall, DEA papers appear to have a distribution by length/pages similar to
those found in most other OR/MS fields of study.
3.5. Statistics involving keywords used
Keywords for about 75% of the DEA papers were either given or could otherwise be ascertained.
Approximately 2000 distinct keywords were reported, with an average of 3.5 keywords per publication.
Table 2 lists the most popular keywords by number of publications.
ARTICLE IN PRESS
5.5
5.6
5.2
5.3
4.3
4.7
4.8
4.7
4.0
4.2
0.0
0.0
0.0
0.1
0.0
0.1
0.1
0.1
0.1
0.2
0.0
0.2
0.3
0.2
0.3
0.3
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
0.0
0.3
0.6
0.5
0.7
1.2
1.2
1.6
1.7
1.5
1.0
0.5
2.4
2.7
2.0
2.1
3.0
3.0
3.5
4.0
3.1
Percentage
4.6
5.0
155
6.2
6.1
6.0
6.2
Number of pages
Fig. 4. Distribution of DEA publications by number of pages.
Table 2
List of the most popular keywords by number or publication
Keywords
No. of publications
Keywords
No. of publications
DEA or Data Envelopment Analysis
Efficiency
Decision making unit(s)
Linear programming
Decision theory
Mathematical models
Productivity
Operations research
Economics
Management
Performance (management, or evaluation)
Bank or banking
Nonparametric
Technical efficiency
1637
558
392
341
269
216
215
215
192
181
176
135
120
120
Mathematical programming
Optimization
Health care or hospital
Multivariate analysis
Production
Parametric
Benchmarking
Regression analysis
Production control
Statistical models or methods
Humans resource allocation
Statistical analysis
Education
Nonparametric statistics
118
112
103
89
84
80
78
76
73
72
61
58
44
40
4. Future trends
There is little doubt that DEA and its applications will continue to be a primary arena of research going
forward. We see at least three reasons for this trend continuing in strong fashion:
I. Measuring efficiency and productivity of large organisations is a non-trivial exercise, involving a complex
multi-input/output structure. DEA technology, by design, naturally accounts for such issues efficiently
and effectively.
II. There is an inexhaustible number of real-world applications involving efficiency measurement available to
stimulate academics’ and practitioners’ interests in conducting research. Evidence of this phenomenon is
clearly shown in the current bibliography. As DEA technology matures further, ‘‘late majority’’ and
‘‘laggard’’ investigators will likely enter the field, further adding to the data base.
5
ARTICLE IN PRESS
156
6
III. The ability to obtain raw study data is relatively easier now than it was a decade ago. This bibliography
thus shows that most published DEA applications arose in the US, UK, and other developed nations.
A derivative of this phenomenon will likely be studies looking into the comparative analysis of efficiency.
While there has been an increasing number of DEA studies originating in less developed countries, the
authors speculate that, unfortunately, such growth may not persist. This is due to the fact that many countries’
information technologies are not as advanced as those of the developed countries, and their adoption of DEA
(and other) technology can lag by a matter of years.
5. Limitations of the current study
Readers should use some level of caution in interpreting results of this survey as the findings are based on
data collected only from journal papers, and articles published in books and proceedings. The results thus do
not include all real-world DEA publications. In this regard, we have reviewed only academic/professional
journal articles. Working/research papers, conference presentations (not published) and doctoral dissertations
are excluded, as we assume that high-quality research would eventually be published in the very journals
covered here.
Also, many foreign and/or newer journals might not have been included if they are not English language
publications.
Finally, due to the often lengthy journal review process, some research reported in our survey may lag
behind the actual adoption of recommendations.
While the bibliography was, to be sure, compiled from a wide variety of sources, in the end it represents the
efforts of its authors and, consequently, no claim can be made as to its completeness. Any corrections,
additions, and/or suggestions will be welcomed in order that the bibliography may be revised and redistributed
in an ongoing complete and corrected form.
6. Conclusions
The current literature survey of DEA’s 30 year history, and its comparisons with previous reviews, have
revealed some important insights into the trends underlying DEA research. It is hoped that these findings will
assist both researchers and practitioners in better understanding the current status of this state-of-the-art
technology, and in continuing to move the field forward in the future.
Acknowledgements
The authors take pride in acknowledging the renowned William W. Cooper for his encouragement, interest,
and kind assistance in their preparation of this paper.
Appendix A. Supplementary data
Supplementary data associated with this article can be found, in the online version, at doi:10.1016/j.seps.
2007.07.002.
References
[1] Charnes A, Cooper WW, Rhodes E. Measuring the efficiency of decision-making units. European Journal of Operational Research
1978;2(6):429–44.
[2] Emrouznejad A. Data Envelopment Analysis home page. /http://www.DEAzone.comS, last viewed: 17/09/2007, 1995.
[3] Tavares G. A bibliography of Data Envelopment Analysis (1978–2001). RUTCOR, Rutgers University, 2002; also available at
/http://rutcor.rutgers.edu/pub/rrr/reports2002/1_2002.pdfS.
ARTICLE IN PRESS
1577
[4] Emrouznejad A, Emmanuel T. An Extensive bibliography of Data Envelopment Analysis (DEA), vol. III: supplement 1, Working
Paper 1997; 258: p. 1–24.
[5] Emrouznejad A, Thanassoulis E. An extensive bibliography of Data Envelopment Analysis (DEA), vol. I: working papers, Working Paper,
1996; p. 1–55.
[6] Emrouznejad A, Thanassoulis E. An extensive bibliography of Data Envelopment Analysis (DEA), vol. II: journals papers, Working
Paper, 1996; p. 1–21.
[7] Gattoufi S, Oral M, Reisman A. A taxonomy for Data Envelopment Analysis. Socio-Economic Planning Sciences
2004;38(2–3):141–58.
[8] Gattoufi S, Oral M, Reisman A. Data Envelopment Analysis literature: a bibliography update (1996–2001). Socio-Economic
Planning Sciences 2004;38(2–3):122–59.
[9] Seiford LM. A DEA bibliography (1978–1992). In: Charnes WWC, Lewin AY, Seiford LM., editors. (1995), Data Envelopment
Analysis: theory, methodology and applications. Boston, U S A: Kluwer; 1994, p. 437–69.
[10] Seiford LM. A bibliography for Data Envelopment Analysis (1978–1996). Annals of Operations Research 1997;73:393–438.
Ali Emrouznejad is a Lecturer of Operational Research at Aston University, Birmingham, UK. He holds an M.Sc. in applied mathematics
and received his PhD in operational research and systems from Warwick Business School, UK. His areas of research interest include
performance measurement and management, efficiency and productivity analysis as well as data mining. Dr. Emrouznejad has published
in such journals as Computers and Operations Research, Applied Economics Letters, Journal of Medical Systems, Computers & Industrial
Engineering, International Journal of Production Research and Applied Mathematics and Computation. He acted as Guest Editor of special
issues of Journal of Operational Research Society and a volume of Annals of Operations Research in Data Envelopment Analysis. He is a
member of the Operational Research Society of UK, Secretary of Midland Operational Research Society, and Co-founder of Performance
Improvement Management Software (DEA-PIMsoft).
Barnett R. Parker is a Professor, School of Graduate Studies and School of Business and Economics, Pfeiffer University, Charlotte and
Misenheimer, NC. He earned his B.S.Ch.E. from the University of Massachusetts, Amherst, and an MBA and Ph.D., both from The
Simon School of Business, University of Rochester, NY. Professor Parker’s research interests focus on the application of OR/MS,
marketing, and strategic planning models to problems of service delivery, with an emphasis on developing country settings. His work has
taken him to nearly 50 countries on five continents under funding by such agencies as USAID, WHO, PAHO, and The World Bank. His
research has appeared in a wide variety of refereed journals, including Operations Research, European Journal of Operational Research,
OMEGA, Computers and Operations Research, Socio-Economic Planning Sciences, Journal of Health Administration Education, The
International Journal of Health Planning and Management, Journal of Health Politics, Policy, and Law, American Journal of Preventive
Medicine, Journal of Medical Systems, World Health Forum, and Public Health Nursing. He serves as Editor-in-Chief of Socio-Economic
Planning Sciences.
Gabriel Tavares is a Senior Consultant at Dash Optimization, Englewood Cliffs, NJ. He holds a BS in computer engineering, and an MSc
in information systems and technologies, both from Coimbra University, Coimbra, Portugal. Mr. Tavares is currently enrolled in the PhD
program at RUTCOR, Rutgers University, New Brunswick, NJ, and is studying operations research. His research interests include
pseudo-Boolean optimization, mixed integer programming, discrete optimization and combinatorics. Mr. Tavares has published his
research in Revista de Investigac- ão Operacional and Journal of Heuristics. He is a member of the Associac- ão Portuguesa de Investigac- ão
Operacional and INFORMS.
1
Further Reading Bibliography
[1] Abay C, Miran B, Gunden C. An analysis of input use efficiency in tobacco production with respect to sustainability: the case study
of Turkey. Journal of Sustainable Agriculture 2004;24(3):123–43.
[2] Abbasi F, Hajihoseini H. Technical efficiency of R&D units. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004.
Birmingham, UK, 2004. p. 373.
[3] Abbott M. The productivity and efficiency of the Australian electricity supply industry. Energy Economics 2006;28(4):444–54.
[4] Abbott M, Doucouliagos C. The efficiency of Australian universities: a Data Envelopment Analysis. Economics of Education
Review 2003;22(1):89.
[5] Abbott M, Wu S. Total factor productivity and efficiency of Australian airports. Australian Economic Review 2002;35(3):244–60.
[6] Abreu Urbano GD, Lopes Paulo S, Baptista Antonio S, Dos JM, Torres Robledo A, De Santos N, Heleno. Evaluation of
technology introduction into a beef cattle production. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004.
Birmingham, UK: 2004. p. 178.
[7] Adam JEE. Alternative quality improvement practices and organization performance. Journal of Operations Management
1994;12(1):27–44.
[8] Adenso-Diaz B, Lev B. Reviews the book introduction to the theory and application of Data Envelopment Analysis: a foundation
text with integrated software, By Emmanuel Thanassoulis. Interfaces 2002;32(5):102–4.
[9] Adler N, Golany B. Evaluation of Deregulated airline networks using Data Envelopment Analysis combined with principal
component analysis with an application to Western Europe. European Journal of Operational Research 2001;132(2):260–73.
[10] Adler N, Golany B. Including principal component weights to improve discrimination in Data Envelopment Analysis. Journal of
the Operational Research Society 2002;53(9):985–91.
[11] Adler N, Berechman J. Measuring airport quality from the airlines viewpoint: an application of Data Envelopment Analysis.
Transport Policy 2001;8(3):171–781.
[12] Adler N, Friedman L, Sinuany-Stern Z. Review of ranking methods in the Data Envelopment Analysis context. European Journal
of Operational Research 2002;140(2):249–65.
[13] Adolphson DL, Cornia GC, Walters LC. Railroad property valuation using Data Envelopment Analysis. Interfaces
1989;19(3):18–26.
[14] Adolphson DL, Cornia GC, Walters LC. Unified framework for classifying DEA models. In: Proceedings of IFORS international
conference on operational research. 1990. p. 647.
[15] Afonso A, St Aubyn M. Non-parametric approaches to education and health efficiency in OECD countries. Journal of Applied
Economics 2005;8(2):227–46.
[16] Afonso A, St Aubyn M. Cross-country efficiency of secondary education provision: a semi-parametric analysis with nondiscretionary inputs. Economic Modelling 2006;23(3):476–91.
[17] Afonso A, Fernandes S. Measuring local government spending efficiency: evidence for the Lisbon region. Regional Studies
2006;40(1):39–53.
[18] Afriat S. Efficiency in production and consumption. In: Dogramaci A, Rolf F, editors. Applications of modern production theory:
efficiency and productivity. Dordrecht, The Netherlands: Kluwer Academic; 1988. p. 251–68.
[19] Agalgaonkar AP, Kulkarni SV, Khaparde SA. Evaluation of configuration plans for DGs in developing countries using advanced
planning techniques. IEEE Transactions on Power Systems 2006;21(2):973–81.
[20] Agasisti T, dal Bianco A. Data Envelopment Analysis to the Italian university system: theoretical issues and policy implications.
International Journal of Business Performance Management 2006;8(3):344–67.
[21] Agha A, Haughton J. Designing VAT systems: some efficiency considerations. Review of Economics and Statistics
1996;78(2):303–8.
[22] Agrell PJ, West BM. A Caveat on the measurement of productive efficiency. International Journal of Production Economics
2001;69(1):1–14.
[23] Agrell PJ, Tind J. A dual approach to nonconvex frontier models. Journal of Productivity Analysis 2001;16(2):129–47.
[24] Agrell PJ, Wikner J. Coherent Methodology for productivity analysis employing integrated partial efficiency. International Journal
of Production Economics 1996;46–47:401–11.
[25] Agrell PJ, Bogetoft P. Economic and environmental efficiency of district heating plants. Energy Policy 2005;33(10):1351–62.
[26] Agrell PJ, Bogetoft P, Tind J. Incentive plans for productive efficiency, innovation and learning. International Journal Production
Economics 2002;78(1):1–11.
[27] Agrell PJ, Bogetoft P, Tind J. DEA and dynamic Yardstick competition in Scandinavian electricity distribution. Journal of
Productivity Analysis 2005;23(2):173–201.
[28] Ahmad M, Bravo-Ureta B. Technical efficiency measures for dairy farms using panel data: a comparison of alternative model
specifications. Journal of Productivity Analysis 1996;7(4):399–415.
[29] Ahmad N, Berg D, Simons GR. The integration of analytical hirarchy process and Data Envelopment Analysis in multi-criteria
decision making problem. International Journal Information Technology and Decision 2006;5(2):263–76.
[30] Ahn J-H, Lee H. An Agent-based dynamic information network for supply chain management. BT Technology Journal
2004;22(2):18–27.
[31] Ahn J-H, Chang S-G. Assessing the contribution of knowledge to business performance: the Kp3 methodology. Decision Support
Systems 2004;36(4):403–16.
2
[32] Ahn TS, Seiford LM. Sensitivity of DEA to models and variable sets in a hypothesis test setting: the efficiency of university
operations. In: Ijiri Y, editor. Creative and innovative approaches to the science of management. Quorum Books; 1993. p. 191–208.
[33] Ahn TS, Charnes A, Cooper WW. Efficiency characterisations in different DEA models. Socio-Economic Planning Sciences
1988;2:253–7.
[34] Ahn TS, Charnes A, Cooper WW. Some statistical and DEA evaluations of relative efficiencies of public and private institutions of
higher learning. Socio-Economic Planning Sciences 1988;22(6):259–69.
[35] Ahn TS, Charnes A, Cooper WW. Using Data Envelopment Analysis to measure the efficiency of not-for-profit organizations: a
critical evaluation—a comment. Managerial and Decision Economics 1988;9(3):251–3.
[36] Ahn TS, Charnes A, Cooper WW. Using Data Envelopment Analysis to measure the efficiency of not-for-profit organizations: a
critical evaluation-comment. Managerial and Decision Economics 1988;9(3):251–3.
[37] Ahn TS, Charnes A, Cooper WW. A note on the efficiency characterizations obtained in different DEA models. Socio-Economic
Planning Sciences 1989;22(6):253–7.
[38] Ahn TS, Arnold V, Charnes A, Cooper WW. DEA and ratio efficiency analyses for public institutions of higher learning in Texas.
Research in Governmental and Non-Profit Accounting 1989:165–85.
[39] Ahuja G, Majumdar SK. An assessment of the performance of Indian state-owned enterprises. Journal of Productivity Analysis
1998;9(2):113–32.
[40] Aida K, Cooper WW, Pastor JT, Sueyoshi T. Evaluating water supply services in Japan with Ram: a range-adjusted measure of
inefficiency. Omega 1998;26(2):207–32.
[41] Ajodhia V, Petrov K. Establishment of cap regulation and determination of efficiency factor X for electricity networks. European
Transactions on Electrical Power 2004;14(2):97–109.
[42] Akimov PS, Kubasov AN, Minacheva AV. Detection efficiency of weak optical signals. Izvestiya Vysshikh Uchebnykh Zavedenii,
Radioelektronika 1979;22(4):61–7.
[43] Akosa G, Franceys R, Barker P, Weyman-Jones T. Efficiency of water-supply and sanitation projects in Ghana. Journal of
Infrastructure Systems 1995;1(1):56–65.
[44] Alam IMS. A nonparametric approach for assessing productivity dynamics of large US banks. Journal of Money, Credit and
Banking 2001;33(1):121–39.
[45] Alam IMS, Sickles RC. The relationship between stock market returns and technical efficiency innovations: evidence from the US
airline industry. Journal of Productivity Analysis 1998;9(1):35–51.
[46] Alam IMS, Sickles RC. Time series analysis of deregulatory dynamics and technical efficiency: the case of the US airline industry.
International Economic Review 2000;41(1):203–18.
[47] Alam JB, Sikder SH, Goulias KG. Role of transportation in regional economic efficiency in Bangladesh: Data Envelopment
Analysis. Transportation Research Record 2004;1864:112–20.
[48] Alam JB, Sikder SH, Goulias KG. Assessing the time lag between transportation investment and economic development by the
data envelopment approach. Transportation Research Record 2005;1932:79–88.
[49] Albert MG. Regional technical efficiency: a stochastic frontier approach. Applied Economics Letters 1998;5(11):723.
[50] Aldaz N, Millan JA. Regional productivity of spanish agriculture in a panel DEA framework. Applied Economics Letters
2003;10(2):87.
[51] Alene AD, Manyong VM, Gockowski J. The production efficiency of intercropping annual and perennial crops in Southern
Ethiopia: a comparison of distance functions and production frontiers. Agricultural Systems 2006;91(1–2):51–70.
[52] Aleskerov F, Ersel H, Yolalan R. Multicriterial ranking approach for evaluating bank branch performance. International Journal
Information Technology and Decision 2004;3(2):321–35.
[53] Aletras K, Busch G, Zagouldoudis N. The short-term effect on technical and scale efficiency of establishing regional health systems
and general management in Greek NHS hospitals. Health Policy 2007;83(2):236–45.
[54] Alexander CA, Stringer K. Implementing and interpreting a Data Envelopment Analysis model to assess the efficiency of health
systems in developing countries. IMA Journal of Management Mathematics 2003;14(1):49–63.
[55] Alexander JA, Wheeler JR, Nahra TA, Lemak CH. Managed care and technical efficiency in outpatient substance abuse treatment
units. Journal of Behavioral Health Services & Research 1998;25(4):377–96.
[56] Al-Faraj TN, Alidi AS, Bu-Bshait KA. Evaluation of bank branches by means of Data Envelopment Analysis. International
Journal Operation and Production Management 1993;13(9):45–52.
[57] Al-Faraj TN, Bu-Bshait KA, Al-Muhammad WA. Evaluating the efficiency of Saudi commercial banks using data development
analysis. International Journal of Financial Services Management 2006;1(4):466–77.
[58] Al-Harbi A-S, Ba-Lubaid KM. Optimization of staff numbers in the process industries: an application of DEA. International
Journal of Manpower 2000;21(1/2):47.
[59] Alhosan ZF. A frontier analysis approach to measuring profitability and marketability of stock-traded companies in Saudi Arabia.
In: Proceedings of international conference on modelling and simulation. France: AMSE; 2004. p. 13.
[60] Ali AI. Data Envelopment Analysis-computational issues. Computers Environment and Urban Systems 1990;1:157–65.
[61] Ali AI. Streamlined computation for Data Envelopment Analysis. European Journal of Operational Research 1993;64(1):61–7.
[62] Ali AI. Computational aspects of DEA. In: Charnes A, Cooper WW, Lewin AY, Seiford LM, editors. Data Envelopment Analysis:
theory, methodology, and applications. Dordrecht, The Netherlands: Kluwer; 1994. p. 63–88.
[63] Ali AI, Lerme CS. Comparative advantage and disadvantage in DEA. Annals of Operations Research 1997;73:215–32.
[64] Ali AI, Seiford LM. Computational accuracy and infinitesimals in Data Envelopment Analysis. INFOR 1993;31(4):290–7.
3
[65] Ali AI, Seiford LM. The mathematical programming approach to efficiency analysis. In: Fried HO, Schmidt SS, editors. The
measurement of productive efficiency: techniques and applications. UK: Oxford; 1993. p. 120–59.
[66] Ali AI, Bhargava M. Marketing capability and performance of diary cooperatives in India. INFOR 1998;36(3):129–41.
[67] Ali AI, Nakosteen R. Ranking industry performance in the US. Socio-Economic Planning Sciences 2005;39(1):11–24.
[68] Ali AI, Charnes A, Cooper WW, Divine D, Klopp GA, Stutz J. An application of Data Envelopment Analysis to management of
us army recruitment districts. In: Schultz RL, editor. Applications of management science, a research annual, 1989.
[69] Ali AI, Lerme CS, Seiford LM. Components of efficiency evaluation in Data Envelopment Analysis. European Journal of
Operational Research 1995;80:462–73.
[70] Ali AI, Lerme CS, Nakosteen RA. Assessment of intergovernmental revenue transfers. Socio-Economic Planning Sciences
1993;27(2):109–18.
[71] Ali AI, Cook WD, Seiford LM. Strict vs. weak ordinal relations for multipliers in Data Envelopment Analysis. Management
Science 1991;37(6):733–8.
[72] Ali IA, Seiford LM. Translation invariance in Data Envelopment Analysis. Operations Research Letters 1990;9(6):403–5.
[73] Alirezaee MR. The overall assurance interval for the non-archimedean epsilon in DEA models; a partition base algorithm. Applied
Mathematics and Computation 2005;164(3):667–74.
[74] Alirezaee MR, MirHassani SA. From the Data Envelopment Analysis technique to the development of a productivity system. In:
Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004. Birmingham, UK: 2004. p. 185.
[75] Alirezaee MR, Howland M, van de Panne C. Sampling size and efficiency bias in Data Envelopment Analysis. Journal of Applied
Mathematics and Decision Sciences 1998;2:51–64.
[76] Allen J, Rai A. Operational efficiency in banking: an international comparison. Journal of Banking and Finance 1996;20:665–72.
[77] Allen R, Thanassoulis E. Improving envelopment in Data Envelopment Analysis. European Journal of Operational Research
2004;154(2):363–79.
[78] Allen R, Athanassopoulos A, Dyson RG, Thanassoulis E. Weights restrictions and value judgements in Data Envelopment
Analysis: evolution, development and future directions. Annals of Operations Research 1997;73:13–34.
[79] Allison J, Charnes A, Cooper WW, Sueyoshi T. How do the construction and/or interpretation of models affect our decisions?:
Part 1 Uses of modelling in science and society. In: Wallance WA, editor. Ethics in modelling, vol. 2. Pergamon Press: Oxford;
1994. p. 11–36.
[80] Al-Naji K, Field K. Cybernetics and Performance measurement of UK universities. Systemist 1993;15(3):115–22.
[81] Alp I. Possibilistic Data Envelopment Analysis. Mathematical and Computational Applications 2002;7(1):5–14.
[82] Alpar P, Porembski M, Pickerodt S. Measuring the efficiency of web site traffic generation. International Journal of Electronic
Commerce 2001;6(1):53–74.
[83] Al-Shammari M. A multi-criteria Data Envelopment Analysis model for measuring the productive efficiency of hospitals.
International Journal Operation and Production Management 1999;19(9–10):879–90.
[84] Al-Shammari M. Optimization modeling for estimating and enhancing relative efficiency with application to industrial companies.
European Journal of Operational Research 1999;115(3):488–96.
[85] Al-Shammari M, Salimi A. Modeling the operating efficiency of banks: a nonparametric methodology. Logistics Information
Management 1998;11(1):5–17.
[86] Althin R. A new, transitive productivity index. Journal of Productivity Analysis 1996;7(1):19–28.
[87] Althin R. Measurement of productivity changes: two Malmquist index approaches. Journal of Productivity Analysis
2001;16(2):107–28.
[88] Aly HY, Grabowski R, Pasurka C, Rangan N. Technical, scale, and allocative efficiencies in US banking: an empirical
investigation. Review of Economics and Statistics 1990;72(2):211–8.
[89] Ambrose P. A comparison of Data Envelopment Analysis and genetic algorithm techniques for efficiency analysis: implications for
information systems research. In: Proceedings of effective utilization and management of emerging information technologies.
IDEA Group Publishing; 1998. p. 382–9.
[90] Amin GR, Emrouznejad A. An extended minimax disparity to determine the Owa Operator weights. Computers and Industrial
Engineering 2006;50(3):312–6.
[91] Amin GR, Emrouznejad A. Inverse forecasting: a new approach for predictive modelling. Computers & Industrial Engineering
2007;53(2007):491–8.
[92] Amin GR, Emrouznejad A. A note on DEA models in technology selection: an improvement of Karsak and Ahiska’s approach.
International Journal of Production Research 2007;45(10):2313–6.
[93] Amin GR, Emrouznejad A. Inverse Linear Programming in DEA. International Journal of Operations Research 2007;4(2):105–9.
[94] Amin GR, Toloo M. A polynomial-time algorithm for finding epsilon; in DEA models. Computer and Operations Research
2004;31(5):803–5.
[95] Amin GR, Raissi S. A New approach to determine efficient DMUs in DEA models with using inverse optimization. In:
Emrouznejad A, Podinovski V, editors. Proceedings of DEA. Birmingham, UK: 2004. p. 28.
[96] Amin GR, Toloo M, Sohrabi B. An improved MCDM DEA model for technology selection. International Journal of Production
Research 2006;44(13):2681–6.
[97] Amini MM, Pease B. Data Envelopment Analysis: assessing operating efficiency of the USPS facilities department. In: Proceedings
decision sciences institute, vol. 2. Decision Sci. Inst.; 1994. p. 1213–4.
[98] Amirteimoori A. Prioritization method for frontier DMUs: a distance-based approach. In: Proceedings of international conference
on numerical analysis and applied mathematics. Wiley-VCH Verlag; 2005. p. 50–3.
4
[99] Amirteimoori A. Data Envelopment Analysis in dynamic framework. Applied Mathematics and Computation 2006;181(1):21–8.
[100] Amirteimoori A, Shafiei M. Characterizing an equitable omission of shared resources: a DEA-based approach. Applied
[101] Amirteimoori A, Shafiei M. Measuring the efficiency of interdependent decision making sub-units in DEA. Applied Mathematics
and Computation 2006;173(2):847–55.
[102] Amirteimoori A, Nashtaei RA. The role of time in multi-component efficiency analysis: an application. Applied Mathematics and
Computation 2005;177(1):11–7.
[103] Amirteimoori A, Kordrostami S. Allocating fixed costs and target setting: a DEA-based approach. Applied Mathematics and
Computation 2005;171(1):136–51.
[104] Amirteimoori A, Kordrostami S. Efficient surfaces and an efficiency index in DEA: a constant returns to scale. Applied
[105] Amirteimoori A, Kordrostami S. Multi-component efficiency measurement with imprecise data. Applied Mathematics and
Computation 2005;162(3):1265–77.
[106] Amirteimoori A, Kordrostami S. DEA-like models for multi-component performance measurement. Applied Mathematics and
Computation 2005;163(2):735–43.
[107] Amirteimoori A, Kordrostami S. Prioritization method for frontier DMUs: a slack-based measure. Applied Mathematics and
Computation 2006;174(1):409–18.
[108] Amirteimoori A, Jahanshahloo G, Kordrostami S. Ranking of decision making units in Data Envelopment Analysis: a distancebased approach. Applied Mathematics and Computation 2005;171(1):122–35.
[109] Amirteimoori A, Kordrostami S, Sarparast M. Modeling undesirable factors in Data Envelopment Analysis. Applied Mathematics
[110] Ammar S, Wright R. Applying fuzzy-set theory to performance evaluation. Socio-Economic Planning Sciences 2000;34(4):285–302.
[111] Andersen P, Petersen NC. A procedure for ranking efficient units in Data Envelopment Analysis. Management Science
1993;39(10):1261–4.
[112] Anderson DR, Sweeney DJ, Williams TA. Linear Programming Applications: Data Envelopment Analysis. In: An introduction to
management science: quantitative approaches to decision making staple. West Publishing Company; 1991. p. 147–52.
[113] Anderson E, Chen Y. A simultaneous equation model of cost performance relationships in large scale computing. IIE Transactions
1992;2:155–65.
[114] Anderson L, Walberg HJ, Weinstein T. Efficiency and effectiveness analysis of Chicago public elementary schools: 1989, 1991,
1993. Educational Administration Quarterly 1998;34(4):484–504.
[115] Anderson RI, Lewis D, Zumpano LV. X-inefficiencies in the residential real estate market: a stochastic frontier approach. Journal
of Real Estate Research 2000;20(1/2):93.
[116] Anderson RI, Fok R, Springer T, Webb J. Technical efficiency and economies of scale: a non-parametric analysis of reit operating
efficiency. European Journal of Operational Research 2002;139(3):598–612.
[117] Anderson T, Färe R, Grosskopf S, Inman L, Song XY. Further examination of Moore’s law with Data Envelopment Analysis.
Technological Forecasting And Social Change 2002;69(5):465–77.
[118] Anderson TR, Uslu A. Selecting the ‘‘Best’’; Using Data Envelopment Analysis. In: Proceedings of innovation in technology
management. New York: IEEE; 1997. p. 789–93.
[119] Anderson TR, Sharp GP. A new measure of baseball batters using DEA. Annals of Operations Research 1997;73:141–55.
[120] Anderson TR, Sharp GP. Data Envelopment Analysis with Integral Targets. In: Proceedings of innovation in technology
management. New York: IEEE; 1997. p. 794–7.
[121] Anderson TR, Hollingsworth KB. An Introduction to Data Envelopment Analysis in Technology Management. In: Proceedings of
innovation in technology management. New York: IEEE; 1997. p. 773–8.
[122] Anderson TR, Ghavami PK. Using Data Envelopment Analysis for evaluating alternative software development process
configurations. In: Proceedings of Portland international conference on management of engineering and technology, Portland Int,
vol. 1. 1999. p. 298.
[123] Anderson TR, Hollingsworth K, Inman L. Assessing the rate of change in the enterprise database system market over time using
DEA. In: Proceedings of Portland international conference on management of engineering and technology, Portland Int, vol. 1.
2001. p. 203.
[124] Anderson TR, Hollingsworth K, Inman L. The fixed weighting nature of a cross-evaluation model. Journal of Productivity
Analysis 2002;17(3):249–55.
[125] Anderson TR, Rouse P, Borja R, Hernandez IP, Tobar F, Setiowijoso L. Extending productivity research frontiers: DEA resource
of datasets and errata. Journal of Productivity Analysis 2003;19(2–3):271–5.
[126] Anderson UL, Cooper WW, Lockhart DE. DEA evaluations of performance audits. Internal Auditing 1994;10(2):13–22.
[127] Andes S, Metzger LM, Kralewski J, Gans D. Measuring efficiency of physician practices using Data Envelopment Analysis.
Managed Care 2002;11(11):48–54.
[128] Angeriz A, McCombie J, Roberts M. Productivity, efficiency and technological change in European union regional manufacturing:
a Data Envelopment Analysis approach. Manchester School 2006;74(4):500–25.
[129] Angulo-Meza L, Pereira Estellita Lins M. Review of methods for increasing discrimination in Data Envelopment Analysis. Annals
of Operations Research 2002;116:225–42.
[130] Antonella B, Funari S. A Data Envelopment Analysis approach to measure the mutual fund performance. European Journal of
Operational Research 2001;135(3):477–92.
5
[131] Anwandter L, Ozuna TJ. Can public sector reforms improve the efficiency of public water utilities? Environment Journal of
Development Economics 2002;7:687–700.
[132] Aoki S, Naito Y, Tsuji H. DEA-based indicator for performance improvement. In: Proceedings of the 2005 international
conference on active media technology in Kagawa-Japan, Piscataway, US: 2005. p. 327–30.
[133] Appa G, Williams HP. A new framework for the solution of DEA models. European Journal of Operational Research
2006;172(2):604–15.
[134] Appa G, Yue M. On setting scale efficient targets in DEA. Journal of the Operational Research Society 1999;50(1):60–9.
[135] Appa G, Yue M. A reply to Zhu: how useful or accurate is this alternative? Journal of the Operational Research Society
2000;51(3):379.
[136] Aragon Y, Daouia A, Thomas-Agnan C. Nonparametric frontier estimation: a conditional quantile-based approach. Econometric
Theory 2005;21(2):358–89.
[137] Arakawa M, Nakayama H, Ishikawa H. Development of genetic range genetic algorithms (case of multi-objective optimum
design). Transactions Of The Japan Society Of Mechanical Engineers, Part C 2003;69(10):2707–13.
[138] Arakawa M, Yagi T, Nakayama H, Ishikawa H. Evaluation method of total technical evaluation using Data Envelopment
Analysis. Transactions of the Japan Society of Mechanical Engineers, Part C 2003;69(9):2411–7.
[139] Arakawa M, Yun YB, Nakayama H, Ishikawa H. Reading required characters in market of products by using Data Envelopment
Analysis. In: Proceedings of the Asme Design Engineering Technical Conference, vol. 2. American Society of Mechanical
Engineers: 2001. p. 1–7.
[140] Arcelus FJ, Coleman DF. An efficiency review of university departments. International Journal of Systems Science
1997;28(7):721–9.
[141] Arcelus FJ, Arocena P. Convergence and productive efficiency in fourteen OECD countries: a non-parametric frontier approach.
International Journal of Production Economics 2000;66(2):105–17.
[142] Arcelus FJ, Arocena P. Productivity differences across OECD countries in the presence of environmental constraints. Journal of
[143] Arcelus FJ, Arozena P. Measuring sectoral productivity across time and across countries. European Journal of Operational
Research 1999;119(2):254–66.
[144] Ardehali PH, Paradi JC, Asmild M. Assessing financial risk tolerance of portfolio investors using Data Envelopment Analysis.
International Journal Information Technology and Decision 2005;4(3):491–519.
[145] Arestis P, Chortareas G, Desli E. Financial development and productive efficiency in OECD countries: an exploratory analysis.
Manchester School 2006;74(4):417–40.
[146] Arestis P, Chortareas G, Desli E. Technical efficiency and financial deepening in the non-OECD economies. International Review
of Applied Economics 2006;20(3):353–73.
[147] Arnold VL, Bardhan IR. Excellence and efficiency in Texas public schools. Texas Business Review 1994;5–7:5–7.
[148] Arnold VL, Gallegos A, Cooper WW. Primal and Dual Optimality in Computer Codes Using Two-Stage Solution Procedures in
DEA. In: Aronson JE, Zionts S, editors. Operations research: methods, models and applications. Quorum; 1997.
[149] Arnold VL, Bardhan IR, Cooper WW, Kumbhakar SC. New uses of DEA and statistical regressions for efficiency evaluation and
estimation-with an illustrative application to public secondary schools in Texas. Annals of Operations Research 1996;66:255–77.
[150] Asmild M, Hougaard JL. Economic versus environmental improvement potentials of Danish pig farms. Agricultural Economics
2006;35(2):171–81.
[151] Asmild M, Paradi JC, Reese DN, Tam F. Measuring overall efficiency and effectiveness using DEA. European Journal of
[152] Asmild M, Paradi JC, Aggarwall V, Schaffnit C. Combining DEA window analysis with the Malmquist Index approach in a study
of the Canadian banking industry. Journal of Productivity Analysis 2004;21(1):67–89.
[153] Asmild M, Hougaard JL, Kronborg D, Kvist HK. Measuring inefficiency via potential improvements. Journal of Productivity
Analysis 2003;19(1):59–76.
[154] Ataullah A, Hang L. Financial repression and liability of foreignness in developing countries. Applied Economics Letters
2004;11(9):545–9.
[155] Ataullah A, Hang L. Economic reforms and bank efficiency in developing countries: the case of the Indian banking industry.
Applied Financial Economics 2006;16(9):653–63.
[156] Ataullah A, Cockerill T, Le H. Financial liberalization and bank efficiency: a comparative analysis of India and Pakistan. Applied
Economics 2004;36(17):1915–24.
[157] Athanassopoulos A. Assessing the comparative spatial disadvantage (CSD) of regions in the European community using nonradial Data Envelopment Analysis models. European Journal of Operational Research 1996;94:439–52.
[158] Athanassopoulos A. Multivariate and frontier analysis for assessing the market and cost efficiency of large scale bank branch
networks. Journal of Money, Credit and Banking 1998.
[159] Athanassopoulos A, Gounaris C. Assessing the technical and allocative efficiency of hospital operations in Greece and its resource
allocation implications. European Journal of Operational Research 2001;133(2):416–31.
[160] Athanassopoulos A, Giokas D. On-going use of Data Envelopment Analysis in banking institutions: evidence from the commercial
bank of Greece. Interfaces 2000.
[161] Athanassopoulos A, Shalle E. An investigation on the cost and value added efficiencies of higher education institutions in the UK
using Data Envelopment Analysis. Education Economics Journal 1997;5(2).
6
[162] Athanassopoulos A, Thanassoulis E. Assessing marginal impact of investment on the performance of organisational units.
[163] Athanassopoulos A, Tatsos NT. econometric analysis as an aid for resource allocation decisions the case of Greek local authorities.
In: Proceedings of econometrics in Europe. The Institute of Applied Econometrics; 2000.
[164] Athanassopoulos AD. Goal programming and Data Envelopment Analysis (GODEA) for target-based multi-level planning:
allocating central grants to the Greek local authorities. European Journal of Operational Research 1995;87(3):535–50.
[165] Athanassopoulos AD. Performance improvement decision aid systems (PIDAS) in retailing organisations using Data Envelopment
Analysis. Journal of Productivity Analysis 1995:153.
[166] Athanassopoulos AD. The evolution of non-parametric frontier analysis methods: a review and recent developments. Journal of
Spoudai 1995;45:13–45.
[167] Athanassopoulos AD. Assessing the comparative spatial disadvantage (CSD) of regions in the european union using non-radial
Data Envelopment Analysis methods. European Journal of Operational Research 1996;94(3):439–52.
[168] Athanassopoulos AD. Embodying service quality into operating efficiency for assessing the effort effectiveness in the provision of
financial services. European Journal of Operational Research 1997;98:300–13.
[169] Athanassopoulos AD. Service quality and operating efficiency synergies for management control in the provision of financial
services: evidence from Greek bank branches. European Journal of Operational Research 1997;98(2):300–13.
[170] Athanassopoulos AD. Decision support for target-based resource allocation of public services in multiunit and multilevel systems.
Management Science 1998;44(2):173–87.
[171] Athanassopoulos AD. Nonparametric frontier models for assessing the market and cost efficiency of large-scale bank branch
networks. Journal of Money, Credit and Banking 1998;30(2):172–92.
[172] Athanassopoulos AD. Optimization models for assessing marketing efficiency in multi-branch organizations. International Review
of Retail, Distribution and Consumer Research 1998;8(4):415–43.
[173] Athanassopoulos AD. Strategic groups, frontier benchmarking and performance differences: evidence from the UK retail grocery
industry. Journal of Management Studies 2003;40(4):921–53.
[174] Athanassopoulos AD. Using frontier efficiency models as a tool to re-engineer networks of public sector branches: an application
to the Hellenic Tobacco Organization. European Journal of Operational Research 2004;154(2):533–47.
[175] Athanassopoulos AD, Giokas D. Technical efficiency and economies of scale in state owned enterprises: the Hellenic
Telecommunications Organisation. European Journal of Operational Research 1998;107(1):62–75.
[176] Athanassopoulos AD, Giokas D. The use of Data Envelopment Analysis in banking institutions: evidence from the commercial
bank of Greece. Interfaces 2000;30(2):81–95.
[177] Athanassopoulos AD, Thanassoulis E. Reply: assessing marginal impact of investment on the performance of organisational units.
International Journal of Production Economics 1995;39(1/2):164.
[178] Athanassopoulos AD, Thanassoulis E. Separating market efficiency from profitability and its implications for planning. Journal of
[179] Athanassopoulos AD, Karkazis J. The efficiency of social and economic image projection in spatial configurations. Journal of
Regional Science 1997;37(1):75–97.
[180] Athanassopoulos AD, Ballantine JA. Ratio frontier analysis for assessing corporate performance evidence from the grocery
industry in the UK. Journal of the Operational Research Society 1995;4:427–40.
[181] Athanassopoulos AD, Storbeck JE. Non-parametric models for assessing spatial efficiency. Journal of Productivity Analysis
1995;6(3):225–45.
[182] Athanassopoulos AD, Triantis KP. Assessing aggregate cost efficiency and the related policy implications for Greek local
municipalities. INFOR 1998;36(3):66–83.
[183] Athanassopoulos AD, Curram SP. A comparison of Data Envelopment Analysis and artificial neural networks as tools for
assessing. Journal of the Operational Research Society 1996;47(8):100.
[184] Athanassopoulos AD, Curram SP. Comparison of Data Envelopment Analysis and artificial neural networks as tools for assessing
the efficiency of decision making units. Journal of the Operational Research Society 1996;47(8):1000–16.
[185] Athanassopoulos AD, Podinovski VV. Dominance and potential optimality in multiple criteria decision analysis with imprecise
information. Journal of the Operational Research Society 1997;48(2):142–50.
[186] Athanassopoulos AD, Gounaris C, Sissouras A. A descriptive assessment of the production and cost efficiency of general hospitals
in Greece. Health Care Management Science 1999;2(2):97–106.
[187] Athanassopoulos AD, Lambroukos N, Seiford LM. Data envelopment scenario analysis for setting targets to electricity generating
plants. European Journal of Operational Research 1999;115(3):413–28.
[188] Atkinson B. Review of introduction to the theory and application of Data Envelopment Analysis: a foundation text with integrated
software (book). Journal of the Operational Research Society 2004;55(1):96–7.
[189] Atkinson SE, Wilson PW. Comparing mean efficiency and productivity scores from small samples—a bootstrap methodology.
Journal of Productivity Analysis 1995;6:137–52.
[190] Atkinson SE, Cornwell C, Honerkamp O. Measuring and decomposing productivity change: stochastic distance function
estimation versus Data Envelopment Analysis. Journal of Business and Economic Statistics 2003;21(2):284–94.
[191] Audibert M. Technical inefficiency effects among paddy farmers in the villages of the ‘Office Du Niger’, Mali, West Africa. Journal
of Productivity Analysis 1997;8(4):379–94.
[192] Audibert M, Mathonnat J, Henry MC. Social and health determinants of the efficiency of cotton farmers in northern Cote
D’ivoire. Social Science and Medicine 2003;56(8):1705–17.
7
[193] Auer H. Benchmarking and grid regulation: international experience and consequences for Austria. Elektrotechnik und
Informationstechnik 2002;119(10):319–23.
[194] Avkiran NK. Performance of foreign banks in Australia. Australian Banker 1997;111(6):222–4.
[195] Avkiran NK. An application reference for Data Envelopment Analysis in branch banking: helping the novice. International
Journal of Bank Marketing 1999;17(4/5):206.
[196] Avkiran NK. The evidence on efficiency gains: the role of mergers and the benefits to the public. Journal of Banking and Finance
1999;23(7):991–1013.
[197] Avkiran NK. Productivity analysis in the services sector with Data Envelopment Analysis. 1st ed., 2000, ISBN:0-646-38225-X.
[198] Avkiran NK. Investigating technical and scale efficiencies of Australian universities through Data Envelopment Analysis. SocioEconomic Planning Sciences 2001;35(1):57–80.
[199] Avkiran NK. Modelling knowledge production performance of research centres with a focus on triple bottom line benchmarking.
International Journal of Business Performance Management 2006;8(4):307–27.
[200] Azadeh A, Ebrahimipour V. An integrated approach for assessment and ranking of manufacturing systems based on machine
performance. International Journal of Industrial Engineering 2004;11(4):349–63.
[201] Bachmann R. Testable implications of pareto efficiency and individual rationality. Econometric Theory 2006;29(3):489–504.
[202] Back K, Brown DP. Gmm, maximum-likelihood and nonparametric efficiency. Economics Letters 1992;3:23–8.
[203] Backhaus K, Wilken R. Measuring weight flexibility using cluster analysis results. In: Emrouznejad A, Podinovski V., editors.
Proceedings of DEA2004. Birmingham, UK: 2004. p. 252.
[204] Bafail AO, Aal RA, Karuvat SA. A DEA approach for measuring relative performance of Saudi banks. In: Emrouznejad A, Green
R, Krivonozhko V, editors. Efficiency and productivity analysis in the 21st century. International Research in Management
Science; 2002.
[205] Bagdadioglu N. Privatization, ownership, and technical efficiency in the Turkish electricity supply industry. Pacific and Asian
Journal of Energy 1996;6(1):25–37.
[206] Bagdadioglu N, Waddams Price CM, Weyman-Jones TG. Efficiency and ownership in electricity distribution: a non-parametric
model of the Turkish experience. Energy Economics 1996;18(1–2):1–23.
[207] Baker RC, Talluri S. Closer look at the use of Data Envelopment Analysis for technology selection. Computers and Industrial
Engineering 1997;32(1):101–8.
[208] Bal H, Golcukcu A. Data Envelopment Analysis: an application to Turkish banking industry. Mathematical and Computational
Applications 2002;7(1):65–72.
[209] Bala K, Cook WD. Performance measurement with classification information: an enhanced additive DEA model. Omega
2003;31(6):439–50.
[210] Balakrishnan PV, Desai A, Storbeck JE. Efficiency evaluation of retail outlet networks. Environment and Planning. Planning and
Design 1994;21(4):477–88.
[211] Balcombe K, Fraser I, Kim JH. Estimating technical efficiency of Australian dairy farms using alternative frontier methodologies.
Applied Economics 2006;38(19):2221–36.
[212] Balk BM. Malmquist productivity indexes and fisher ideal indexes—comment. Economic Journal 1993;10:680–2.
[213] Balk BM. Approximating a cost-of-living index from demand-functions—a retrospect. Economics Letters 1995;49(2):147–55.
[214] Balk BM. On approximating the indirect Malmquist productivity indexes by Fisher indexes. Journal of Productivity Analysis
1995:195–200.
[215] Balk BM. Scale efficiency and productivity change. Journal of Productivity Analysis 2001;15(3):159–83.
[216] Ball R, Roberts E. The relevance of DEA in the public sector. In: A discussion paper for young or 10—operational research. Oper
Res Soc 1998. p. 15–33.
[217] Ball VE, Nehring RF. Incorporating undesirable outputs into models of production: an application to US agriculture. Cahiers
d’Economie et Sociologie Rurales 1994;31:60–74.
[218] Ball VE, Lovell CAK, Luu H, Nehring R. Incorporating environmental impacts in the measurement of agricultural productivity
growth. Journal of Agricultural Economics 2004;29(3):436–60.
[219] Ballestero E, Maldonado JA. Objective measurement of efficiency: applying single price model to rank hospital activities.
Computer and Operations Research 2004;31(4):515–32.
[220] Ballestro E. Measuring efficiency by a single price system. European Journal of Operational Research 1999;115(3):616–23.
[221] Banathy BA. An information typology for the understanding of social systems. Systems Research and Behavioral Science
1999;16(6):479–94.
[222] Banker RD. A game theoretic approach to measuring efficiency. European Journal of Operational Research 1980;5:262–6.
[223] Banker RD. Estimating most productive scale size using Data Envelopment Analysis. European Journal of Operational Research
1984;17(1):35–44.
[224] Banker RD. Productivity Measurement and Management Control. In: Kleindorfer P, editor. Management of productivity and
technology in manufacturing. New York: Plenum; 1985. p. 239–57.
[225] Banker RD. Improving company productivity—handbook with case studies Kendrick. JW Accounting Review 1988;6:368–70.
[226] Banker RD. Econometric estimation and Data Envelopment Analysis. Research in Governmental and Non-Profit Accounting
1989;5:231–43.
[227] Banker RD. Selection of efficiency evaluation models. Contemporary Accounting Research 1992;9(1):343–55.
[228] Banker RD. Maximum likelihood, consistency and Data Envelopment Analysis: a statistical foundation. Management Science
1993;39(10):1265–73.
8
[229] Banker RD. Hypothesis tests using Data Envelopment Analysis. Journal of Productivity Analysis 1996;7(2–3):139–59.
[230] Banker RD, Maindiratta A. Erratum to: ‘‘Piecewise loglinear estimation of efficient production surfaces’’. Management Science
1986;32(3):385.
[231] Banker RD, Maindiratta A. Piecewise loglinear estimation of efficient production surfaces. Management Science
1986;32(1):126–35.
[232] Banker RD, Maindiratta A. Nonparametric analysis of technical and allocative efficiencies in production. Econometrica
1988;56(6):1315–32.
[233] Banker RD, Maindiratta A. Maximum likelihood estimation of monotone and concave production frontiers. Journal of
[234] Banker RD, Maindratta A. Piece-wise loglinear estimation of efficient production surfaces. Management Science 1986;3:126–35.
[235] Banker RD, Hsihui C. A simulation study of hypothesis tests for differences in efficiencies. International Journal of Production
Economics 1995;39(1–2):37–54.
[236] Banker RD, Kemerer CF. Scale economies in new software development. IEEE Transactions on Software Engineering
1989;15(10):1199–205.
[237] Banker RD, Kemerer CF. Performance evaluation metrics for information systems development: a principal-agent model.
Information Systems Research 1992;3(4):379–400.
[238] Banker RD, Chang H. The super-efficiency procedure for outlier identification, not for ranking efficient units. European Journal of
[239] Banker RD, Johnston HH. An empirical-study of cost drivers in the United States airline industry. Accounting Review
1993;6:576–601.
[240] Banker RD, Johnston HH. Evaluating the impacts of operating strategies on efficiency in the US airline industry. In: Charnes A,
Cooper WW, Lewin AY, Seiford LM, editors. Data envelopment analysis: theory, methodology, and applications. Dordrecht, The
Netherlands: Kluwer; 1995. p. 97–128.
[241] Banker RD, Morey RC. Efficiency analysis for exogeneously fixed inputs and outputs. Operations Research 1986;34(4):513–21.
[242] Banker RD, Morey RC. Use of categorical variables in Data Envelopment Analysis. Management Science 1986;32(12):1613–27.
[243] Banker RD, Morey RC. Incorporating value judgements in efficiency analysis. JAI Press 1989;5.
[244] Banker RD, Morey RC. Integrated system design and operational decisions for service sector outlets. Journal of Operations
Management 1993;11(1):81–98.
[245] Banker RD, Morey RC. Estimating production frontier shifts: an application of DEA to technology assessment. Annals of
Operations Research 1996;66:181–96.
[246] Banker RD, Kauffman RJ. Reuse and productivity in integrated computer-aided software engineering—an empirical-study. MIS
Quarterly 1991;1:375–401.
[247] Banker RD, Kauffman RJ. The evolution of research on information systems: a fiftieth-year survey of the literature in management
science. Management Science 2004;50(3):281–98.
[248] Banker RD, Thrall RM. Estimation of returns to scale using Data Envelopment Analysis. European Journal of Operational
Research 1992;62(1):74–84.
[249] Banker RD, Slaughter SA. Field study of scale economies in software maintenance. Management Science 1997;43(12):1709–25.
[250] Banker RD, Datar SM. Analysis of cost variances for management control in hospitals. JAI Press 1989;5:268–91.
[251] Banker RD, Charnes A, Cooper WW. Some models for estimating technical and scale inefficiencies in Data Envelopment Analysis.
[252] Banker RD, Charnes A, Clarke RL, Cooper WW. Erratum: constrained game formulations and interpretations for Data
Envelopment Analysis. European Journal of Operational Research 1989;42.
[253] Banker RD, Charnes A, Cooper WW, Schinnar AP. A bi-extremal principle for frontier estimation and efficiency evaluations.
[254] Banker RD, Charnes A, Cooper WW, Clarke R. Constrained game formulations and interpretations for Data Envelopment
Analysis. European Journal of Operational Research 1989;40(3):299–308.
[255] Banker RD, Charnes A, Cooper WW, Swarts J, Thomas D. An introduction to Data Envelopment Analysis with some of its
models and their. In: Lchan J, Mpatton J, editors. Research in governmental and non-profit accounting, 1989. p. 125–63.
[256] Banker RD, Charnes A, Cooper WW, Swarts J, Thomas DA. An introduction to Data Envelopment Analysis with some of its
models and their uses. Research in Governmental and Non-Profit Accounting 1989;5:125–63.
[257] Banker RD, Maindiratta A, Cooper WW. A comparison of DEA and translog estimates of production frontiers using simulated
observations from a known technology. In: Dogramaci A, Rolf F, editors. Applications of modern production theory: efficiency
and productivity. Dordrecht, The Netherlands: Kluwer; 1988. p. 33–55.
[258] Banker RD, Hsihui C, Kemerer CF. Evidence on economies of scale in software development. Information and Software
Technology 1994;36(5):275–82.
[259] Banker RD, Hsihui C, Yi-ching K. Impact of information technology on public accounting firm productivity. Journal of
Information Systems 2002;16(2):209–29.
[260] Banker RD, Hsihui C, Cooper WW. Equivalence and implementation of alternative methods for determining returns to scale in
Data Envelopment Analysis. European Journal of Operational Research 1996;89(3):473–81.
[261] Banker RD, Chang H, Kemerer CF. Evidence on economies of scale in software-development. Information and Software
Technology 1994;36(5):275–82.
9
[262] Banker RD, Chang H, Cooper WW. A simulation study of DEA and parametric frontier models in the presence of
heteroscedasticity. European Journal of Operational Research 2004;153(3):624–40.
[263] Banker RD, Chang H, Janakiraman SN, Konstans C. A balanced scorecard analysis of performance metrics. European Journal of
[264] Banker RD, Chang HH, Majumdar SK. Profitability, productivity and price recovery patterns in the US telecommunications
industry. Review of Industrial Organisation. Review of Industrial Organization 1996;1:1–17.
[265] Banker RD, Chang HH, Cooper WW. Simulation studies of efficiency, returns to scale and misspecification with nonlinear
functions in DEA. Annals of Operations Research 1996;66:233–53.
[266] Banker RD, Chang HS, Natarajan R. Productivity change, technical progress, and relative efficiency change in the public
accounting industry. Management Science 2005;51(2):291–304.
[267] Banker RD, Chang HS, Cooper WW. ‘Small Sample Properties of ML, COLS and DEA Estimators of Frontier Models in the
Presence of Heteroscedasticity’ by A.N. Bojanic, S.B. Caudill, J.M. Ford, European Journal of Operational Research 108, 1998,
140–148: A Comment [and Author’s Reply]. European Journal of Operational Research 2002;136(2):466–9.
[268] Banker RD, Bardhan I, Cooper WW. A note on returns to scale in DEA. European Journal of Operational Research
1996;88(3):583–5.
[269] Banker RD, Conrad RF, Strauss RP. A comparative application of Data Envelopment Analysis and translog methods: an
illustrative study of hospital production. Management Science 1986;32(1):30–44.
[270] Banker RD, Kauffman RJ, Morey RC. Measuring gains in operational efficiency from information technology: a study of the
positran deployment at Hardee’s Inc. Journal of Management Information Systems 1990;7(2):29–54.
[271] Banker RD, Janakiraman S, Natarajan R. Evaluating the adequacy of parametric functional forms in estimating monotone and
concave production functions. Journal of Productivity Analysis 2002;17(1–2):111–32.
[272] Banker RD, Janakiraman S, Natarajan R. Analysis of trends in technical and allocative efficiency: an application to Texas public
school districts. European Journal of Operational Research 2004;154(2):477–91.
[273] Banker RD, Slaughter SA, Davis GB. Software development practices, software complexity, and software maintenance
performance: a field study. Management Science 1998;44(4):433–50.
[274] Banker RD, Datar SM, Kemerer CF. Factors affecting software maintenance productivity: an exploratory study. In: Proceedings
of the eighh international conference on information systems Pittsburgh, 1987. p. 160–75.
[275] Banker RD, Datar SM, Kemerer CF. A model to evaluate variables impacting the productivity of software maintenance projects.
[276] Banker RD, Datar SM, Rajan M. Measurement of productivity improvements: an empirical analysis. Journal of Accounting,
Auditing and Finance 1987;2:319–47.
[277] Banker RD, Gadh VM, Gorr WL. Monte Carlo comparison of two production frontier estimation methods: corrected ordinary
least squares and Data Envelopment Analysis. European Journal of Operational Research 1993;67(3):332–43.
[278] Banker RD, Cooper WW, Seiford LM, Thrall RM, Zhu J. Returns to scale in different DEA models. European Journal of
[279] Banker RDM. A nonparametic analysis of technical and allocative efficiencies in Production Econometrica. Production
Econometrica 1988;5:1315–32.
[280] Bann C, Brann PS. Reputation and organizational efficiency: a Data Envelopment Analysis study. Corporate Reputation Review
2005;8(1):45–58.
[281] Bannick RR, Ozcan YA. Efficiency analysis of federally funded hospitals: comparison of Dod and Va hospitals. Using Data
Envelopment Analysis. Health Services Management Research 1995;8:73–85.
[282] Bannister GJ, Stolp C. Regional concentration and efficiency in Mexican manufacturing. European Journal of Operational
Research 1995;80(3):672–90.
[283] Barbetta GP, Turati G, Zago AM. Behavioral differences between public and private not-for-profit hospitals in the Italian
National Health Service. Health Economics 2007;16(1):75–96.
[284] Bardhan I, Bowlin WF, Cooper WW. Models and measures for efficiency dominance in DEA: additive models and MED
measures. Journal of Operations Research Society Japan 1996;39(3):322–32.
[285] Bardhan I, Bowlin WF, Cooper WW, Sueyoshi T. Models and measures for efficiency dominance in DEA—additive models and
MED measures. Journal of Operations Research Society of Japan 1996;39(3):322–32.
[286] Bardhan IR, Cooper WW, Kumbhakar SC. A simulation study of joint uses of Data Envelopment Analysis and statistical
regressions for production function estimation and efficiency evaluation. Journal of Productivity Analysis 1998;9(3):249–78.
[287] Barla P, Perelman S. Sulphur emissions and productivity growth in industrialised countries. Annals of Public and Cooperative
Economics 2005;76(2):275–300.
[288] Barnes AP. Does multi-functionality affect technical efficiency? a non-parametric analysis of the Scottish dairy industry. Journal of
Environmental Management 2006;80(4):287–94.
[289] Barnum D, Gleason J. Technical efficiency bias caused by intra-input aggregation in Data Envelopment Analysis. Applied
Economics Letters 2005;12(13):785–8.
[290] Barnum D, Barnum DT, Gleason JM. Biases in technical efficiency scores caused by intra-input aggregation. Applied Economics
2006;38:1593–603.
[291] Barnum D, Gleason JM, Barnum DT. Toward valid measures of public sector productivity: performance indicators in urban
transit. Management Science 1982;28(4):379–86.
10
[292] Barnum DT, Gleason JM. Measuring efficiency in allocating inputs among outputs with DEA. Applied Economics Letters
2006;13(6):333–6.
[293] Barr RS, Durchholz ML. Parallel and hierarchical decomposition approaches for solving large-scale Data Envelopment Analysis
models. Annals of Operations Research 1997;73:339–72.
[294] Barr RS, Seiford LM, Siems TF. An envelopment-analysis approach to measuring the managerial efficiency of banks. Annals of
Operations Research 1993;45(1–4):1–19.
[295] Barr RS, Seiford LM, Siems TF. Forecasting bank failure: a non-parametric frontier estimation approach. Recherches
Economiques de Louvain 1994;60(4):417–29.
[296] Barros CP. Small countries and the consolidation of the European defence industry: Portugal as a case study. Defence and Peace
Economics 2002;13(4):311–9.
[297] Barros CP. Measuring efficiency in the hotel sector. Annals of Tourism Research 2005;32(2):456–77.
[298] Barros CP. Efficiency measurement among hypermarkets and supermarkets and the identification of the efficiency drivers.
International Journal of Retail and Distribution Management 2006;2:135–54.
[299] Barros CP, Alves C. An empirical analysis of productivity growth in a Portuguese retail chain using Malmquist productivity index.
Journal of Retailing and Consumer Services 2004;11(5):269–78.
[300] Barros CP, Alves FP. Productivity in the tourism industry. International Advances in Economic Research 2004;10(3):215–25.
[301] Barros CP, Leach S. Performance evaluation of the English premier football league with Data Envelopment Analysis. Applied
Economics 2006;38(12):1449–58.
[302] Barros CP, Barroso N, Borges MR. Evaluating the efficiency and productivity of insurance companies with a Malmquist index: a
case study for Portugal. Geneva Papers on Risk and Insurance—Issues and Practice 2005;30(2):244–67.
[303] Barrow M. Public-sector efficiency measurements—applications of Data Envelopment Analysis. Public Money and Management
1993;1:62.
[304] Barrow M, Wagstaff A. Efficiency measurement in the public sector: an appraisal. Fiscal Studies 1989;10:72–97.
[305] Bartelsman EJ, Doms M. Understanding productivity: lessons from longitudinal microdata. Journal of Economic Literature
2000;38(3):569–94.
[306] Barth W, Staat M. Environmental variables and relative efficiency of bank branches: a DEA-bootstrap approach. International
Journal of Business Performance Management 2005;7(3):1.
[307] Barua A, Brockett PL, Cooper WW, Deng H, Parker BR, Ruefli TW, et al. DEA evaluations of long- and short-run efficiencies of
digital vs. physical production companies. Socio-Economic Planning Sciences 2004;38(4):233–53.
[308] Basso A, Funari S. Measuring the performance of ethical mutual funds: a DEA approach. Journal of the Operational Research
Society 2003;54(5):521–31.
[309] Basson MD, Butler T. Evaluation of operating room suite efficiency in the veterans health administration system by using dataenvelopment analysis. American Journal of Surgical Pathology 2006;192(5):649–56.
[310] Bates JM. The efficiency of local education authorities. Oxford Review of Education 1993;1:277–89.
[311] Bates JM. Measuring predetermined socioeconomic ‘inputs’ when assessing the efficiency of educational outputs. Applied
Economics 1997;29(1):85–93.
[312] Bates JM, Baines D, Whynes DK. Measuring the efficiency of prescribing by general practitioners. Journal of the Operational
Research Society 1996;47(12):1443–51.
[313] Bates JM, Baines DL, Whynes DK. Assessing efficiency in general practice: an application of Data Envelopment Analysis. Health
Services Management Research 1998;11(2):103–8.
[314] Bates LJ, Mukherjee K, Santerre RE. Market structure and technical efficiency in the hospital services industry: a DEA approach.
Medical Care Research and Review 2006;63(4):499–524.
[315] Battese GE, Wan GH. A stochastic frontier production function with flexible risk properties. Journal of Productivity Analysis
1997;8(3):269–80.
[316] Battese GE, Broca SS. Functional forms of stochastic frontier production functions and models for technical inefficiency effects: a
comparative study for wheat farmers in Pakistan. Journal of Productivity Analysis 1997;8(4):395–414.
[317] Battese GE, Rao DSP, Coelli TJ. An Introduction to Efficiency and Productivity Analysis. Boston, USA: Kluwer; 1997.
[318] Bauer PW. Recent developments in the econometrics estimation of frontiers. Journal of Econometrics 1990;46:39–56.
[319] Bauer PW, Ferrier GD. Scale economies, cost efficiencies, and technological change in federal reserve payments processing. Journal
of Money, Credit and Banking 1996;28(4):1004–39.
[320] Baxter LW, Feldman SL, Wirtshafter RM. An efficiency analysis of household energy use. Engineering Economist 1986;8(2):62–73.
[321] Bayarsaihan T, Coelli TJ. Productivity growth in pre-1990 Mongolian agriculture: spiralling disaster or emerging success?
Agricultural Economics 2003;28(2):121–37.
[322] Baysal ME, Uygur M, Toklu B. A study of the relative efficiency of TCDD ports, using Data Envelopment Analysis. Journal of
Faculty of Engineering and Architecture of Gazi University 2004;19(4):437–42.
[323] Bazargan M, Vasigh B. Size versus efficiency: a case study of US commercial airports. Journal of Air Transportation Management
2003;9(3):187–93.
[324] Beasley JE. Comparing University Departments. Omega 1990;18(2):171–83.
[325] Beasley JE. Determining teaching and research efficiencies. Journal of the Operational Research Society 1995;46(4):441–52.
[326] Beasley JE. Allocating fixed costs and resources via Data Envelopment Analysis. European Journal of Operational Research
2003;147(1):198–216.
11
[327] Beccalli E, Casu B, Girardone C. Efficiency and stock performance in European banking. Journal of Business Finance and
Accounting 2006;33(1–2):245–62.
[328] Beck R, Wigand RT, Konig W. Integration of e-commerce by SMES in the manufacturing sector: a Data Envelopment Analysis
approach. Journal of Global Information Management 2005;13(3):20–32.
[329] Beenstock M. Business sector production in the short and long run in Israel. Journal of Productivity Analysis 1997;8(1):53–69.
[330] Beghin JC, Lovell CAK. Trade and efficiency effects of domestic content protection—the Australian tobacco and cigarette
industries. Review of Economics and Statistics 1993;7:623–31.
[331] Beguin C. Nonparametric frontier model as a tool for exploratory analysis of hospital stays. Methods of Information in Medicine
2001;40(3):241–7.
[332] Bell RA, Morey RC. The search for appropriate benchmarking partners—a macro approach and application to corporate travel
management. Omega 1994;2:477–90.
[333] Belton V, Crowe D. Data Envelopment Analysis: a tool for management accountants? In: Berry R, Otley D, editors. Performance
measurement and control. CIMA; 1996. p. 47–62.
[334] Belton V, Vickers SP. Demystifying DEA—a visual interactive approach based on multiple criteria analysis. Journal of the
Operational Research Society 1993;44(9):883–96.
[335] Bendheim CL, Waddock SA, Graves SB. Determining best practice in corporate-stakeholder relations using Data Envelopment
Analysis. Business and Society 1998;37(3):305–38.
[336] Bera AK, Sharma SC. Estimating production uncertainty in stochastic frontier production function models. Journal of
[337] Berg S, Lin C, Tsaplin V. Regulation of state-owned and privatized utilities: Ukraine electricity distribution company performance.
Journal of Regulatory Economics 2005;28(3):259–87.
[338] Berg SA, Jansen ES. Bank output measurement and the construction of best practice frontiers. Journal of Productivity Analysis
1991;2:127–42.
[339] Berg SA, Forsund FR, Jansen ES. Malmquist indices of productivity growth during the deregulation of Norwegian banking,
1980–89. Scandinavian Journal of Economics 1992;94:S211–28.
[340] Berg SA, Forsund FR, Hjalmarsson L, Suominen M. Banking efficiency in the Nordic countries. Journal of Banking and Finance
1993;1:371–88.
[341] Bergantino AS, Canali C. Efficiency of public transport companies in Emilia Romagna (Italy): some empirical evidence. In:
Advances in Transport, vol. 6. Southampton, UK: WIT Press; 2000. p. 75–84.
[342] Bergendahl G. Allfinanz, Bancassurance and the future of banking. Applied Stochastic Models and Data Analysis
1995;11(4):323–47.
[343] Bergendahl G. DEA and benchmarks—an application to Nordic banks. Annals of Operations Research 1998;82:233–49.
[344] Bergendahl G. DEA—a method for banks for measuring efficiency and setting benchmarks. Ekonomiska Samfundets Tidsskrift
1999;52(2):51.
[345] Bergendahl GA. Bancassurance and the future of banking. Applied Stochastic Models and Data Analysis 1995;1:323–47.
[346] Berger A, Haweck G, Humphrey D. Competitive viability in banking: scale, scope, and product mix economies. Journal of
Monetary Economics 1987;2:501–20.
[347] Berger AN. Distribution-free estimates of efficiency in the US banking industry and tests of the standard distributional
assumptions. Journal of Productivity Analysis 1993;4:261–92.
[348] Berger AN, Humphrey DB. Efficiency and productivity growth in US banking. In: Fried HO, Schmidt SS., editors. The
measurement of productive efficiency: techniques and applications. Oxford UK: 1993. p. 386–413.
[349] Berger AN, Humphrey DB. Efficiency of financial institutions: international survey and directions for future research. European
Journal of Operational Research 1997;98(2):175–212.
[350] Berger AN, Kashyap AK, Scalise JM, Gertler M, Friedman BM. The transformation of the US banking industry: what a long,
strange trip it’s been. Brookings Papers on Economic Activity 1995(2):55–218.
[351] Berger AN, Hancock D, Humphrey DB. Bank efficiency derived from the profit function. Journal of Banking and Finance
1993;17:317–47.
[352] Berger AN, Leusner JH, Mingo JJ. The efficiency of bank branches. Journal of Monetary Economics 1997;40(1):141–62.
[353] Berger AN, Brockett PL, Cooper WW, Pastor JT. Preface: new approaches for analyzing and evaluating the performance of
financial institutions. European Journal of Operational Research 1997;98(2):170–4.
[354] Bergquist RK. Audit risk analysis: an experiment using Data Envelopment Analysis. Internal Auditing 1996;12(2):3–12.
[355] Bernard J, Cantner U, Westermann G. Technological leadership and variety: a Data Envelopment Analysis for the French
machinery industry. Annals of Operations Research 1996;68:361–77.
[356] Bernardes Ó, Pinillos M. Data Envelopment Analysis improves expenses reduction in hospitals. In: Emrouznejad A, Podinovski V.,
editors. Proceedings of DEA2004. Birmingham, UK: 2004. p. 92.
[357] Bernroider EWN, Stix V. Profile distance method- a multi-attribute decision making approach for information system investments.
Decision Support Systems 2006;42(2):988–98.
[358] Berry BJL, Kim H. Efficiency frontiers: urbanization and development. Urban Geography 2001;22(4):306–15.
[359] Berry BJL, Kim H. Demographic efficiency: concept and estimation. Population and Environment 2002;23(3):267.
[360] Berry BJL, Chen YS. Measurement of campaign efficiency using Data Envelopment Analysis. Electoral Studies 1999;18(3):379–95.
[361] Berry R, Otley D. Performance measurement and control, CIMA, 3E. London: International Thomson Business Press; 1996.
12
[362] Bertels K, Jacques JM, Neuberg L, Gatot L. Qualitative company performance evaluation: linear discriminant analysis and neural
network models. European Journal of Operational Research 1999;115(3):608–15.
[363] Bessent A, Bessent W. Determining the comparative efficiency of schools through Data Envelopment Analysis. Educational
Administration Quarterly 1980;1:57–75.
[364] Bessent A, Bessent W. A fractional programming model for determining the efficiency of decision making units. In: Proceedings of
the annual meeting of the American Educational Research Association, 1981.
[365] Bessent A, Bessent W, Charnes A, Cooper WW, Thorogood NP. Evaluation of educational program proposals by means of Data
Envelopment Analysis. Educational Administration Quarterly 1983;1:82–107.
[366] Bessent A, Bessent W, Elam J, Clark T. Efficiency frontier determination by constrained facet analysis. Operations Research
1988;36(5):785–96.
[367] Bessent A, Bessent W, Kennington J, Reagan B. An application of mathematical programming to assess productivity in the
Houston independent school district. Management Science 1982;28(12):1355–67.
[368] Bessent A, Bessent W, Kennington J, Regan B. An application to mathematical programming to assess productivity in the Houston
independent school districts. Management Science 1982;2:1355–67.
[369] Bessent AM, Charnes A, Cooper WW, Thorogood NJC. Evaluation of educational program proposals by means of DEA.
Educational Administration Quarterly 1983;19(2):82–107.
[370] Bessent AM, Bessent E, Clark CT, Elam J. Constrained facet analysis—a new method for evaluating local frontiers of efficiency
and performance. Air Force Journal of Logistics 1984:8.
[371] Bessent AM, Bessent E, Clark CT, Elam J. A microcomputer-based productivity support system for increasing the managerial
efficiency of operating units. In: Jandriole S, editor. Microcomputer decision support systems: design, implementation and
evaluationqed information, 1985. p. 219–30.
[372] Bessent AM, Bessent EW, Elam J, Clark CT. Constrained facet analysis, a new method for evaluating local frontier of efficiency
and performance. Air Force Journal of Logistics 1984;8(3):2–8.
[373] Bessent AM, Bessent EW, Elam J, Long D. Educational productivity council employs management science methods to improve
educational quality. Interfaces 1984;14(6):1–8.
[374] Bevilacqua M, Braglia M. Environmental efficiency analysis for ENI oil refineries. Journal of Cleaner Production 2002;10(1):85–92.
[375] Bhagavatula N, Cabrera-Rios M, Castro JM. In-mold coating of thermoplastic substrates: further developments. In: Proceedings
of annual technical conference, vol. 1. Society of Plastics Engineers: 2004. p. 788–92.
[376] Bhargava M. Efficiency in advertising: Data Envelopment Analysis. In: Stern B, Zinkham G, editors. Proceedings of AMA summer
educator’s conference AMA. 1995. p. 209–16.
[377] Bhargava M, Dubelaar C, Ramaswami S. Reconciling diverse measures of performance—a conceptual framework and test of a
methodology. Journal of Business Research 1994;3:235–46.
[378] Bhat VN. Health systems performance: a statewide analysis. Journal of Health Care Finance 2003;29(4):77.
[379] Bhat VN. Institutional arrangements and efficiency of health care delivery systems. European Journal of Health Economics
2005;6(3):215–22.
[380] Bhattacharyya A, Mitra K. Decomposition of technological change and factor bias in Indian power sector: an unbalanced panel
data approach. Journal of Productivity Analysis 1997;8(1):35–52.
[381] Bhattacharyya A, Lovell CAK, Sahay P. The impact of liberalization on the productive efficiency of Indian commercial banks.
[382] Bi K-X, Sun J-H, Feng Y-J. Secondary relative evaluations on regional technology innovation capability in SMES. Journal of
Harbin Institute of Technology (New Series) 2005;12(6):620–5.
[383] Bi L, Yao P. Study of resource allocation assessment system based on DEA. Harbin Gongcheng Daxue Xuebao/Journal of Harbin
Engineering University 2005;26(1):136–8.
[384] Bian F-P, Huang T. Chance-constrained model in stochastic Data Envelopment Analysis. Systems Engineering and Electronics
2005;27(5):837–40.
[385] Bian F-P, Tang X-Q. Stochastic DEA model with undesirable outputs: an application to the prediction of anti-HIV therapy
efficiency. Progress in Natural Science 2006;16(7):753–9.
[386] Bian F-P, Fan Y. Prediction model of Data Envelopment Analysis with undesirable outputs. Transactions of Tianjin University
2004;10(1):34–8.
[387] Bian F-P, Yang Z. Effectiveness analysis of bimaleimide composite based on Data Envelopment Analysis. Journal of Tianjin
University Science and Technology 2005;38(9):763–7.
[388] Bian F-P, Cui L, Lawrence L. DEA-based anti-Hiv immunotherapy model. Progress in Natural Science 2004;14(9):828–32.
[389] Bian F-P, Liang M, Zhao X-M. Analysis of regulatory architectures in BST. Progress in Natural Science 2003;13(12):914–9.
[390] Biarn E, Hagen TP, Iversen T, Magnussen J. The effect of activity-based financing on hospital efficiency: a panel data analysis of
DEA efficiency scores 1992–2000. Health Care Management Science 2003;6(4):271–83.
[391] Bick A, Oron G, Gilierman L, Manor Y. Data Envelopment Analysis for assessing optimal operation of ultra-filtration systems for
effluent polishing. Water Science and Technology: Water Supply 2003;3(5–6):379–84.
[392] Bick A, Tuttle JGP, Shandalov S, Oron G. Immersed membrane bioreactor (IMBR) for treatment of combined domestic and dairy
wastewater in an isolated farm. Water Science and Technology 2005;51(10):327–34.
[393] Biehl M, Cook W, Johnston DA. The efficiency of joint decision making in buyer-supplier relationships. Annals of Operations
Research 2006;145:15–34.
13
[394] Bielowski AG, Walczuch R. ICT—Impact on Services. In: Proceedings of the 35th annual Hawaii international conference on
system sciences. IEEE Computer Society, 2002. p. 3209–18.
[395] Bifulco R, Bretschneider S. Estimating school efficiency—a comparison of methods using simulated data. Economics of Education
Review 2001;20(5):417–29.
[396] Bifulco R, Bretschneider S. Response to comment on estimating school efficiency. Economics of Education Review 2003;22(6):635.
[397] Bijan-August M, Segota A. Relative efficiency of Croatia in transition process. In: Proceedings of Sixth international symposium
on operational research in Slovenia, Slovenian Soc Informatika, 2001. p. 369–74.
[398] Bilodeau D, Cremieux P-Y, Ouellette P. Hospital cost function in a non-market health care system. Review of Economics and
Statistics 2000;82(3):489–98.
[399] Binici T, Zulauf CR, Kacira OO, Karli B. Assessing the efficiency of cotton production on the Harran plain, Turkey. Outlook on
Agriculture 2006;35(3):227–32.
[400] Birgun S, Akten N. Relative efficiencies of seaport container terminals: a DEA perspective. International Journal of Integrated
Supply Management 2005;1(4):442–56.
[401] Birman SV, Pirondi PE, Rodin EY. application of DEA to medical clinics. Mathematical and Computer Modelling
2003;37(9–10):923–36.
[402] Bitran GR, Valor-Sabatier J. Some mathematical programming based measures of efficiency in health care institutions. Advances
in Mathematical Programming and Financial Planning 1987;1:61–84.
[403] Bjorkgren MA, Fries BE, Hakkinen U, Brommels M. Case-mix adjustment and efficiency measurement. Scandinavian Journal
Public Health 2004;32(6):464–71.
[404] Bjorner J, Keiding H. Cost-effectiveness with multiple outcomes. Health Economics 2004;13(12):1181–90.
[405] Bjurek H. The Malmquist total factor productivity index. Scandinavian Journal of Economics 1996;98(2):303–13.
[406] Bjurek H, Hjalmarsson L. Productivity in multiple-output public-service—a quadratic frontier function and Malmquist index
approach. Journal of Public Economics 1995;5:447–60.
[407] Bjurek H, Hjalmmarsson L, Forsund FR. Deterministic parametric and nonparametric estimation of efficiency in service
production: a comparison. Journal of Econometrics 1990;4:213–27.
[408] Bjurek H, Kjulin U, Gustafsson B. Efficiency, productivity and determinants of inefficiency at publicday-care-centers in Sweden.
Scandinavian Journal of Economics 1992;9.
[409] Bjurek H, Kjulin U, Gustafsson B, Bosworth DL. Efficiency, productivity and determinants of inefficiency at public day care
centers in Sweden—comment. Scandinavian Journal of Economics 1992;94.
[410] Bjurek H, Kjulin U, Gustafsson BB, Derek L. Efficiency, productivity and determinants of inefficiency at public day care centres in
Sweden—comment. Scandinavian Journal of Economics 1992;94:173–91.
[411] Blackorby C, Russell RR. Aggregation of efficiency indices. Journal of Productivity Analysis 1999;12(1):5–20.
[412] Blank JL, Valdmanis V. A modified three-stage Data Envelopment Analysis, The Netherlands. European Journal of Health
Economics 2005;6(1):65–72.
[413] Blank JLT. Public Provision and Performance: Contributions from Efficiency and Productivity Measurement. Amsterdam,
Netherlands: Elsevier; 2000.
[414] Blose JE, Tankersley WB, Flynn LR. Executive briefs. Quality Management Journal 2005;12(2):5–6.
[415] Blose JE, Tankersley WB, Flynn LR. Managing service quality using Data Envelopment Analysis. Quality Management Journal
2005;12(2):7–24.
[416] Bo AH, Liping AC. Hotel labor productivity assessment: a Data Envelopment Analysis. Journal of Travel and Tourism Marketing
2004;16(2/3):27–38.
[417] Boame AK. The technical efficiency of Canadian urban transit systems. Transportation Research Part E: Logistics and
Transportation Review 2004;40(5):401–16.
[418] Boame KA, Obeng K. Sources of productivity change: a Malmquist total factor productivity approach. Transportation Review
2005;25(1):103–16.
[419] Boardman B. Intermodal transportation routing problem. In: Proceedings of Portland International Conference on Management
of Engineering and Technology. vol. 1. Portland Int, 1999. p. 447.
[420] Bock M, Boyd G. Best practice electricity use in steel minimills. Iron and Steelmaker 1994;21(5):63–6.
[421] Bogetoft P. Incentive efficient production frontiers: an agency perspective on DEA. Management Science 1994;40(8):959–68.
[422] Bogetoft P. Incentives and productivity measurements incentives and productivity measurements. International Journal of
Production Economics 1995;3:67–77.
[423] Bogetoft P. DEA on relaxed convexity assumptions. Management Science 1996;42(3):457–65.
[424] Bogetoft P. DEA-based Yardstick competition: the optimality of best practice regulation. Annals of Operations Research
1997;73:277–98.
[425] Bogetoft P. DEA and activity planning under asymmetric information. Journal of Productivity Analysis 2000;13(1):7–48.
[426] Bogetoft P, Wang D. Estimating the potential gains from mergers. Journal of Productivity Analysis 2005;23(2):145–71.
[427] Bogetoft P, Hougaard JL. Super efficiency evaluations based on potential slack. European Journal of Operational Research
2004;152(1):14–21.
[428] Bogetoft P, Nielsen K. Internet based benchmarking. Group Decision and Negotiation 2005;14(3):195–215.
[429] Bogetoft P, Thorsen BJ, Strange N. Efficiency and merger gains in the Danish forestry extension service. Forest Science
2003;49(4):585–95.
14
[430] Bogetoft P, Bramsen JM, Nielsen K. Balanced benchmarking. International Journal of Business Performance Management
2006;8(4):274–89.
[431] Bogetoft P, Tama JM, Tind J. Convex input and output projections of nonconvex production possibility sets. Management Science
2000;46(6):858–69.
[432] Bogetoft P, Thrall RM, Färe R. Incentives and productivity measurements. International Journal of Production Economics
1995;39(1–2):67–81.
[433] Bohm B. Approaches to the measurement of eco-efficiency. In: Proceedings of the 8th international symposium on operational
research, Slovenian Society Informatika, 2005. p. 3–9.
[434] Bohnet A, Beck M. The Impact of the income tax on work effort and X-inefficiency in enterprise. In: Kweiermair M, editor. Studies
in economic rationality: x-efficiency examined and Leibensteinann Arhor, 1990. p. 251.
[435] Boile MP. Estimating technical and scale inefficiencies of public transit systems. Journal of Transportation Engineering
2001;127(3):187–94.
[436] Bojanic AN, Caudill SB, Ford JM. Small-sample properties of Ml, Cols, and DEA estimators of frontier models in the presence of
heteroscedasticity. European Journal of Operational Research 1998;108(1):140–8.
[437] Boles JS, Donthu N, Lohtia R. Salesperson evaluation using relative performance efficiency: the application of Data Envelopment
Analysis. Journal of Personal Selling and Sales Management 1995;15(3):31–49.
[438] Boljuncic V. Sensitivity analysis in the additive model of Data Envelopment Analysis. International Journal of Systems Science
1998;29(2):219–22.
[439] Boljuncic V. Note on robustness of the efficient DMUs in Data Envelopment Analysis. European Journal of Operational Research
1999;112(1):240–4.
[440] Boljuncic V. Sensitivity analysis of an efficient DMU in DEA model with variable returns to scale (Vrs). Journal of Productivity
Analysis 2006;25(1–2):173–92.
[441] Bonaccorsi A, Daraio C. A robust nonparametric approach to the analysis of scientific productivity. Research Evaluation
2003;12(1):47–69.
[442] Bonaccorsi A, Giuri P, Pierotti F. Technological frontiers and competition in multi-technology sectors. Economics of Innovation
and New Technology 2005;14(1/2):23–42.
[443] Bonilha U. A model for teacher qualification policies assessment. In: Emrouznejad A, Podinovski V, editors. Proceedings of
DEA2004. Birmingham, UK, 2004. p. 22.
[444] Bookbinder JH, Qu WW. Comparing the performance of major American railroads. Journal of Transportation Research Forum
1993;33(1):70–83.
[445] Borden JP. An assessment of the impact of diagnosis-related group (DRG) based reimbursement on the technical efficiency of New
Jersey hospitals using Data Envelopment Analysis. Journal of Accounting and Public Policy 1988;7(2):77–96.
[446] Bordley RF. Tracking product-process interactions: a commentary. Production and Operations Management 1993;2(2):94–6.
[447] Borenstein D, Becker JL, do Prado VJ. Measuring the efficiency of Brazilian post office stores using Data Envelopment Analysis.
International Journal Operation and Production Management 2004;24(10):1055–78.
[448] Borger BD, Ferrier GD, Kerstens K. Choice of a technical efficiency measure on the free disposal hull reference technology: a
comparison using US banking data. European Journal of Operational Research 1998;105(3):427–46.
[449] Bosetti V, Locatelli G. A Data Envelopment Analysis approach to the assessment of natural parks’ economic efficiency and
sustainability. The case of Italian National Parks. Sustainable Development 2006;14(4):277–86.
[450] Bosshardt HG. Differences between stutterers and nonstutterers short-term recall and recognition performance. Journal of Speech
and Hearing Research 1993;3:286–93.
[451] Boudreau JW. Organizational behavior, strategy, performance, and design in management science. Management Science
2004;50(11):1463–76.
[452] Boufounou PV. Evaluating bank branch location and performance—a case-study. European Journal of Operational Research
1995;8:389–402.
[453] Bougnol ML, Dula JH. Validating DEA as a ranking tool: an application of DEA to assess performance in higher education.
Annals of Operations Research 2006;145:339–65.
[454] Bougnol ML, Dula JH, Womer NK. Nonparametric performance evaluation with multiple constituencies. In: Proceedings of
management and control of production and logistics, vol. 3. Amsterdam: Elsevier Science; 2001. p. 973–6.
[455] Bougnol ML, Dula JH, Retzlaff-Roberts D, Womer NK. Nonparametric frontier analysis with multiple constituencies. Journal of
[456] Bouhnik S, Golany B, Hackman S, Passy U, Analysis DV. Lower bound restrictions on intensities in data envelopment. Journal of
[457] Bouhnik S, Golany B, Passy U, Hackman ST, Vlatsa DA. Lower bound restrictions on intensities in Data Envelopment Analysis.
Journal of Productivity Analysis 2001;16(3):241–61.
[458] Bourgeois P, Fortesa M, Leroyer I. Productivite: Les Banques Francaises Sur La Bonne Voie (in Francais). Banque Strategie
2000;167.
[459] Boussemart JP, Briec W, Cadoret I, Tavera C. A re-examination of the technological catching-up hypothesis across OECD
industries. Economic Modelling 2006;23(6):967–77.
[460] Boussemart J-P, Briec W, Kerstens K, Poutineau J-C. Luenberger and Malmquist productivity indices: theoretical comparisons
and empirical illustration. Bulletin of Economic Research 2003;55(4):391–405.
15
[461] Boussofiane A, Dyson RG, Thanassoulis E. Applied Data Envelopment Analysis. European Journal of Operational Research
1991;52(1):1–15.
[462] Boussofiane A, Martin S, Parker D. The impact on technical efficiency of the UK privatization programme. Applied Economies
1997;29(3):297–310.
[463] Bouyasou D. Using DEA as a tool for MCDM: some remarks. Journal of the Operational Research Society 1999;50(9):974–8.
[464] Bowlin WF. Evaluating performance in governmental organizations. Government Accountants Journal 1986;35(2):50–7.
[465] Bowlin WF. Evaluating the efficiency of US Air force real-property maintenance activities. Journal of the Operational Research
Society 1987;38(2):127–35.
[466] Bowlin WF. An intertemporal assessment of the efficiency of air force accounting and finance offices. Research in Governmental
and Non-Profit Accounting 1989;5:293–310.
[467] Bowlin WF. A characterization of the financial condition of the United States aerospace defense industrial base. Omega
1995;2:539–55.
[468] Bowlin WF. A proposal for designing employment contracts for government managers. Socio-Economic Planning Sciences
1997;31(3):161–244.
[469] Bowlin WF. An analysis of the financial performance of defense business segments using Data Envelopment Analysis. Journal of
Accounting and Public Policy 1999;18(4/5):287–310.
[470] Bowlin WF. Financial analysis of civil reserve air fleet participants using Data Envelopment Analysis. European Journal of
[471] Bowlin WF, Charnes A, Cooper WW. Efficiency and effectiveness in DEA: an illustrative application to base maintenance
activities in the US air force. Journal of the Operational Research Society 1989.
[472] Bowlin WF, Charnes A, Cooper WW, Sherman H. Data Envelopment Analysis and regression approaches to efficiency estimation
and evaluation. Annals of Operations Research 1985;2.
[473] Bowlin WF, Renner CJ, Rives JM. A DEA study of gender equity in executive compensation. Journal of the Operational Research
Society 2003;54(7):751–7.
[474] Bowlin WF, Bardhan IR, Sueyoshi T. Models and measures for efficiency dominance in DEA Part I: additive models and MED
measures. Journal of Operations Research Society of Japan 1996;39(3):322–32.
[475] Bowlin WF, Wallace Jr JR, Murphy RL. Efficiency-based budgeting. Journal of Cost Analysts 1989;8:33–54.
[476] Bowlin WM. Subjective judgements and Data Envelopment Analysis in site selection. Computers, Environment and Urban
Systems 1990;14(2):133–44.
[477] Boyd G, Tolley G. Plant level productivity, efficiency, and environmental performance of the container glass Indus. Environmental
and Resource Economics 2002;23(1):29–43.
[478] Boyd G, McClelland JD. The impact of environmental constraints on productivity improvement in integrated paper plants.
Journal of Environmental Economics and Management 1999;38(2):121–42.
[479] Boyd G, Färe R. Measuring the efficiency of decision-making units—a comment. European Journal of Operational Research
1984;1:331–2.
[480] Boyd G, Karlson S. Energy intensity improvements in steel minimills. Contemporary Policy Issues 1993;6(3):88–99.
[481] Boyd G, Molburg J, Prince R, 1996. Alternative methods of marginal abatement cost estimation: nonparametric distance
functions, In: Proceedings of the 17th annual North American conference of the international association for energy economics,
1996, p. 12.
[482] Boyd GA, Pang JX. Estimating the linkage between energy efficiency and productivity. Energy Policy 2000;28(5):289–96.
[483] Bozec R, Dia M. Impact of commercialization and privatization on the technical efficiency of Canadian state-owned enterprises.
Canadian Journal of Administrative Sciences 2003;20(4):291–310.
[484] Bozec R, Dia M. Ownership structure and level of technical efficacity of Canadian businesses. Canadian Journal of Administrative
Sciences 2006;23(2):118–37.
[485] Bozec R, Dia M. Board structure and firm technical efficiency: evidence from Canadian state-owned enterprises. European Journal
[486] Brada JC. Editor’s, introduction: DEA reports published within the issue. Eastern European Economics 2006;44(4):3–4.
[487] Bradbury ME, Rouse P. An Application of Data Envelopment Analysis to the evaluation of audit risk. Abacus 2002;38(2):263.
[488] Bradley JS, Soulodre GA. The influence of late arriving energy on spatial impression. Journal of Acoustical Society of America
1995(4):2263–71.
[489] Bradley MD, Baron DM. Measuring performance in a multiproduct firm: an application to the US postal service. Operations
Research 1993;41(3):450–8.
[490] Bradley MD, Baron DM. Performance in a multiproduct firm: an application to the US postal service. Operations Research
1993;41(3):450–8.
[491] Bradley S, Johnes G, Millington J. The effect of competition on the efficiency of secondary schools in England. European Journal
[492] Braglia M. A quality assurance-oriented methodology for handling trade-offs in supplier selection. International Journal of
Physical Distribution and Logistics Management 2000;96.
[493] Braglia M, Petroni A. Data Envelopment Analysis for dispatching rule selection. Production Planning and Control
1999;10(5):454–61.
[494] Braglia M, Petroni A. Evaluating and selecting investments in industrial robots. International Journal of Production Research
1999;37(18):4157–78.
16
[495] Braglia M, Zanoni S, Zavanella L. Measuring and benchmarking productive systems performances using DEA: an industrial case.
Production Planning and Control 2003;14(6):542–54.
[496] Breslaw JA, McIntosh J. Scale efficiency in Canadian trust companies. Journal of Productivity Analysis 1997;8(3):281–92.
[497] Bretschnejder S, Marc-Aurele Jr FJ, Jiannan W. Best practices’ research: a methodological guide for the perplexed. Journal of
Public Administration Research and Theory 2005;15(2):307–23.
[498] Breu TM, Raab RL. Efficiency and perceived quality of the nations top 25 national universities and national liberal-arts colleges—
an application of Data Envelopment Analysis to higher-education. Socio-Economic Planning Sciences 1994;2:33–45.
[499] Briec W. A graph-type extension of Farrell technical efficiency measure. Journal of Productivity Analysis 1997;8(1):95–110.
[500] Briec W. Hölder distance function and measurement of technical efficiency. Journal of Productivity Analysis 1999;11(2):111–31.
[501] Briec W, Lemaire B. Technical efficiency and distance to a reverse convex set. European Journal of Operational Research
1999;114(1):178–87.
[502] Briec W, Leleu H. Dual representations of non-parametric technologies measurement of technical efficiency. Journal of
[503] Briec W, Kerstens K. A Luenberger–Hicks–Moorsteen productivity indicator: its relation to the Hicks–Moorsteen productivity
index and the Luenberger productivity indicator. Econometric Theory 2004;23(4):925–39.
[504] Briec W, Kerstens K. Input, output and graph technical efficiency measures on non-convex FDH models with various scaling laws:
an integrated approach based upon implicit enumeration algorithms. TOP: An Official Journal of the Spanish Society of Statistics
and Operations Research 2006;14(1):135–66.
[505] Briec W, Kerstens K, Eeckaut PV. Non-convex technologies and cost functions: definitions, duality and nonparametric tests of
convexity. Journal of Economics 2004;81(2):155–92.
[506] Briec W, Kerstens K, Leleu H, Eeckaut PV. Returns to scale on nonparametric deterministic technologies: simplifying goodness-offit methods using operations on technologies. Journal of Productivity Analysis 2000;14(3):267–74.
[507] Brockett A, Charnes A, Cooper WW, Huang ZM, Sun DB. Data transformations in DEA cone ratio envelopment approaches for
monitoring bank performances. European Journal of Operational Research 1997;98(2):250–68.
[508] Brockett PL, Golany B. Using rank statistics for determining programmatic efficiency differences in Data Envelopment Analysis.
[509] Brockett PL, Seiford LM. Contributions of A. Charnes to the area of statistical analysis in. In: Phillips FY, Rousseau JJ, editors.
Systems and management science by extremal methods Boston. Dordrecht, The Netherlands: Kluwer Academic Publishers; 1992.
p. 69–88.
[510] Brockett PL, Golany B, Li S. Analysis of intertemporal efficiency trends using rank statistics with an application evaluating the
macro economic performance of OECD nations. Journal of Productivity Analysis 1999;11(2):169–82.
[511] Brockett PL, Golden LL, Sarin S, Gerberman JH. The identification of target firms and functional areas for strategic
benchmarking. Engineering Economist 2001;46(4):274–99.
[512] Brockett PL, Chang RE, Rousseau JJ, Semple JH, Yang CH. A comparison of Hmo efficiencies as a function of provider
autonomy. Journal of Risk and Insurance 2004;71(1):1–19.
[513] Brockett PL, Cooper WW, Wang Y. Inefficiency and congestion in Chinese production before and after the 1978 economic
reforms. Socio-Economic Planning Sciences 1998;32(1):1–20.
[514] Brockett PL, Cooper WW, Deng H, Golden LL, Ruefli TW. Using DEA to identify and manage congestion. Journal of
[515] Brockett PL, Cooper WW, Lasdon L, Parker BR. A note extending Grosskopf, Hayes, Taylor and Weber, anticipating the
consequences of school reform: a new use of DEA. Socio-Economic Planning Sciences 2005;39(4):351–9.
[516] Brockett PL, Cooper WW, Golden LL, Rousseau JJ, Wang Y. DEA evaluations of the efficiency of organizational forms and
distribution systems in the US property and liability insurance industry. International Journal of Systems Science
1998;29(11):1235–47.
[517] Brockett PL, Cooper WW, Golden LL, Rousseau JJ, Wang Y. Evaluating solvency versus efficiency performance and different
forms of organization and marketing in us property—liability insurance companies. European Journal of Operational Research
2004;154(2):492–514.
[518] Brockett PL, Cooper WW, Golden LL, Rousseau JJ, Wang YY. Financial intermediary versus production approach to efficiency
of marketing distribution systems and organizational structure of insurance companies. Journal of Risk and Insurance
2005;72(3):393–412.
[519] Brockett PL, Cooper WW, Kumbhakar SC, Kwinn Jr MJ, McCarthy D. Alternative statistical regression studies of the effects of
joint and service specific advertising on military recruitment. Journal of the Operational Research Society 2004;55(10):1039–48.
[520] Brons M, Nijkamp P, Pels E, Rietveld P. Efficiency of urban public transit: a meta analysis. Transportation 2005;32(1):1–21.
[521] Brown M, Gardener EPM. A frontier analysis comparison of banking ‘added value’. Service Industries Journal 2004;24(4):41–65.
[522] Brown R. Mismanagement or mismeasurement? pitfalls and protocols for DEA studies in the financial services sector. European
[523] Brummer B. Estimating confidence intervals for technical efficiency: the case of private farms in Slovenia. European Review of
Agricultural Economic 2001;28(3):285–306.
[524] Bryce CL, Engberg JB, Wholey DR. Comparing the agreement among alternative models in evaluating Hmo efficiency. Health
Service Journal 2000;35(2):509–28.
[525] Brynzér H, Johansson MI. Design and performance of kitting and order picking systems. International Journal of Production
Economics 1995;41:115–25.
17
[526] Buccola ST. Material and value-adding inputs in manufacturing enterprises. Journal of Productivity Analysis 2000;13(3):227–43.
[527] Buck D. The efficiency of the community dental service in England: a Data Envelopment Analysis. Community Dentistry and Oral
Epidemiology 2000;28(4):274–80.
[528] Bukh PND, Gulledge TR, Lovell CAK. International applications of productivity and efficiency analysis. Interfaces 1994;2:132–4.
[529] Bulla S, Cooper WW, Wilson D, Park KS. Evaluating efficiencies of turbofan jet engines: a Data Envelopment Analysis approach.
Journal of Propulsion and Power 2000;16(3):431–9.
[530] Bulla SP, Park KS, Cooper WW, Wilson D. Evaluating efficiencies of turbofan jet engines in multiple input–output contexts: a
Data Envelopment Analysis approach. Journal of Propulsion and Power 2000;16(3):431–9.
[531] Bultez A, Parsons L. Channel productivity: in the small and in the large. International Journal of Research in Marketing
1998;15(5):383–400.
[532] Bureau JC, Färe R, Grosskopf S. A comparison of 3 nonparametric measures of productivity growth in European and United
States agriculture. Journal of Agricultural Economics 1995;4:309–26.
[533] Burgess JE, Wilson PW. Decomposing hospital productivity changes 1985–1988—a nonparametric Malmquist approach. Journal
of Productivity Analysis 1995;363.
[534] Burgess JF, Wilson PW. Technical efficiency in veterans administration hospitals. In: Fried HO, Schmidt SS, editors. The
measurement of productive efficiency: techniques and applications. Oxford, UK: 1993. p. 335–51.
[535] Burgess JF, Wilson PW. Decomposing hospital productivity changes 1985–1988: a nonparametric Malmquist approach. Journal of
[536] Burgess JF, Wilson PW. Hospital ownership and technical inefficiency. Management Science 1996;42(1):110–23.
[537] Burgess J, Wilson PW. Variation in inefficiency among US hospitals. INFOR 1998;36(3):84–102.
[538] Burki AA, Terrell D. Measuring production efficiency of small firms in Pakistan. World Development 1998;26(1):155–69.
[539] Burley HT. Productive efficiency in US manufacturing: a linear programming approach. Review of Economics and Statistics
1980;62:619–22.
[540] Burley HT. Farrell, Data Envelopment Analysis and Leibenstein on efficiency measurement in Karen I Vaughn. Perpectives on the
History of Economic Thought 1994;10:256–65.
[541] Burley HT, Duckett A. Relative technical efficiency of New South Wales public hospitals. Journal of Cost Analysis and
Management 2000:17–30.
[542] Burrell A, Thiele H, Brodersen CM. Differences in farm efficiency in market and transition economies: empirical evidence from
West and East Germany. European Review of Agricultural Economic 1999;26(3):331–48.
[543] Burton M, Phimister E. The ranking of agricultural-economics journals. Journal of Agricultural Economics 1996;4:109–14.
[544] Burton MP, Phimister E. Core journals: a reappraisal of the diamond list. Economic Journal 1995;105(429):361–73.
[545] Busby JS. Measuring the performance of engineering: the data fusion problem. Engineering Management Journal
1995;5(3):117–20.
[546] Busby JS, Williams GM, Williamson A. The use of frontier analysis for goal setting in managing engineering design. Journal of
Engineering Design 1997;8(1):53–74.
[547] Butler TW, Li L. The utility of returns to scale in DEA programming: an analysis of Michigan rural hospitals. European Journal of
[548] Button KJ, Weyman-Jones TG. Ownership structure, institutional organization and measured x-efficiency. American Economic
Review 1992;82(2):439–45.
[549] Button KJ, Weymanjones TG. X-efficiency and technical efficiency. Public Choice 1994;8:83–104.
[550] Byeong-Ho G. Government policy for firm-specific efficiency. Human Systems Management 1994;13(2):123–8.
[551] Byrnes P, Färe R. Surface mining of coal—efficiency of United States interior. Applied Economics 1987;1:1665–73.
[552] Byrnes P, Valdmanis V. Analyzing technical and allocative efficiency of hospitals. In: Charnes A, Cooper WW, Lewin AY, Seiford
LM, editors. Data Envelopment Analysis: theory, methodology, and applications. Dordrecht, The Netherlands: Kluwer; 1995.
[553] Byrnes P, Färe R, Grosskopf S. Measuring productive efficiency—an application to Illinoismines. Management Science
1984;3:671–81.
[554] Byrnes P, Färe R, Grosskopf S, Lovell CAK. The effect of unions on productivity—United States surface of coal. Management
Science 1988;3:1037–53.
[555] Byrnes PE, Storbeck JE. Efficiency gains from regionalization: economic development in China revisited. Socio-Economic
[556] Byrnes PE, Hayes KJ. Efficiency and ownership: further evidence. Review of Economics and Statistics 1986;65:337–41.
[557] Caballero R, Galache T, Gomez T, Molina J, Torrico A. Budgetary allocations and efficiency in the human resources policy of a
university following multiple criteria. Economics of Education Review 2004;23(1):67.
[558] Cabanda E, Ariff M, Viverita R. A multi-criteria approach to technological progress, efficiency change, and productivity growth in
global telecommunications. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004. Birmingham, UK: 2004. p. 31.
[559] Cabrera-Rios M, Castro JM. Multiple criteria optimization studies in in-mold coated sheet molding compound (Smc). In:
Proceedings of Annual Technical Conference, vol. 1. Society of Plastics Engineers: 2003. p. 798–802.
[560] Cabrera-Rios M, Castro JM, Mount-Campbell CA. Multiple quality criteria optimization in reactive in-mold coating (IMC) with a
Data Envelopment Analysis approach. Journal of Polymer Engineering 2002;22(5):305–40.
[561] Caicong W, Xiuwan C, Yinsheng Y. Decision-making modeling method based on artificial neural network and Data Envelopment
Analysis. In: Proceedings of Igarss—IEEE international geoscience and remote sensing, vol. 4. New York: IEEE; 2004. p. 2435–8.
18
[562] Cakravastia A, Takahashi K. Integrated model for supplier selection and negotiation in a make-to-order environment.
[563] Calara Maria S, Cabanda E. Innovative entrepreneurship: a factor of productive efficiency in Bulacan cooperatives. In:
Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004. Birmingham, UK: 2004. p. 211.
[564] Callen JL. Data Envelopment Analysis: partial survey and applications for management accounting. Journal of Management
Accounting Research 1991;3:35–56.
[565] Callen JL. Money donations, volunteering and organizational efficiency. Journal of Productivity Analysis 1994;5(3):215–28.
[566] Callen JL, Falk H. Agency and efficiency in nonprofit organizations: the case of ‘‘specific health focus’’ charities. Accounting
Review 1993;68(1):48–65.
[567] Camanho A, Dyson R. Assessing program and managerial efficiencies: with an application to bank branches. In: Emrouznejad A,
Green R, Krivonozhko V, editors. Efficiency and productivity analysis in the 21st century. International Research in Management
Science, 2002.
[568] Camanho AS, Dyson RG. The assessment of cost efficiency allowing for adjustments to input prices. In: Emrouznejad A,
Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 379.
[569] Camanho AS, Dyson RG. Efficiency, size, benchmarks and targets for bank branches: an application of data envelopment. Journal
of the Operational Research Society 1999;50(9):903.
[570] Camanho AS, Dyson RG. Cost efficiency measurement with price uncertainty: a DEA application to bank branch assessments.
[571] Camanho AS, Dyson RG. Cost efficiency, production and value-added models in the analysis of bank branch performance.
Journal of the Operational Research Society 2005;56(5):483–94.
[572] Camanho AS, Dyson RG. Data Envelopment Analysis and Malmquist indices for measuring group performance. Journal of
Productivity Analysis 2006;26(1):35.
[573] Cameron K, Madramootoo C, Crolla A, Kinsley C. Pollutant removal from municipal sewage lagoon effluents with a free-surface
wetland. Water Research 2003;37(12):2803–12.
[574] Camm JD, Burwell TH. Sensistivity analysis in linear programming models with common inputs. Decision Sciences 1991;22:512–8.
[575] Camm JD, Grogan TJ. An application of frontier analysis: handicapping running races. Interfaces 1988;1:52–60.
[576] Campbell B, Ghysels E. Federal-budget projections—a nonparametric assessment of bias and efficiency. Review of Economics and
Statistics 1995;7:17–31.
[577] Campbell B, Dufour JM. Exact nonparametric orthogonality and random-walk tests. Review of Economics and Statistics
1995;7:1–16.
[578] Canaleta CG, Arzoz PP, Garate MR. Productivity, public capital and convergence. a study of the Spanish regions. Tijdschrift voor
Economische en Sociale Geografie 2003;94(5):537–53.
[579] Candemir M, Koyubenbe N. Efficiency analysis of dairy farms in the Province of Izmir (Turkey): Data Envelopment Analysis
(DEA). Journal of Applied Animal Research 2006;29(1):61–4.
[580] Cantner U, Westermann G. Localised technical progress and industry structure: an empirical approach. Economics of Innovation
and New Technology 1998;6(2/3):121.
[581] Cantner U, Hanusch H, Westermann G. Efficiency of regulated firms and deregulation—non-marketable outputs and DEA.
Jahrbucher Fur Nationalokonomie Und Statistik 1995;21:257–74.
[582] Cantos P, Pastor JM, Serrano L. Productivity, efficiency and technical change in the European Railways: a non-parametric
approach. Transportation 1999;26(4):337–57.
[583] Capettini R, Dittman DA, Morey RC. Reimbursement rate setting for medicaid prescription drugs based on relative efficiencies.
Journal of Accounting and Public Policy 1985;4(2):83–110.
[584] Capobianco HMP, Fernandes E, Cister AM. Airline financial efficiency. In: Management information systems, vol. 7.
Southampton, UK: WIT Press; 2003. p. 447–56.
[585] Caporaletti LE, Dula JH, Womer NK. Performance evaluation based on multiple attributes with nonparametric frontiers. Omega
1999;27(6):637–45.
[586] Caputo MR, Lynch L. A nonparametric efficiency analysis of California cotton ginning cooperatives. Journal of Agricultural and
Resource Economics 1993;1:251–65.
[587] Carbone TA. Measuring Efficiency of semiconductor manufacturing operations using Data Envelopment Analysis (DEA). In:
Proceedings of IEEE advanced semiconductor manufacturing conference and workshop. New York: IEEE: 2000. p. 56–62.
[588] Cardillo DD, Fortuna T. A DEA model for the efficiency evaluation of nondominated paths on a road network. European Journal
[589] Carotenuto P, Coffari A, Gastaldi M, Levialdi N. Analysing Transportation public agencies performance using Data Envelopment
Analysis. In: Proceedings of eighth transportation Systems Oxford:, vol. 2. Pergamon: 1997. p. 655–60.
[590] Carrington R, Puthucheary N, Rose D, Yaisawarng S. Performance measurement in government service provision: the case of
police services in New South Wales. Journal of Productivity Analysis 1997;8(4):415–30.
[591] Carrington R, Coelli T, Groom E. International benchmarking for monopoly price regulation: the case of Australian gas
distribution. Journal of Regulatory Economics 2002;21(2):191–216.
[592] Carvalho AAR, Belderrain MCN, Carvalho IC, Porto PP. Data mining approach as decision-making support in DEA. In:
Emrouznejad A, Green R, Krivonozhko V, editors. Efficiency and productivity analysis in the 21st century. International Research
in Management Science; 2002.
19
[593] Castelli L, Pesenti R, Ukovich W. DEA-like models for efficiency evaluations of specialized and interdependent units. European
[594] Castelli L, Pesenti R, Ukovich W. A review of DEA models when the internal structure of the decision making units is considered.
In: Proceedings of the eighth international symposium on operational research, Slovenian Society Informatika, 2005. p. 37–47.
[595] Castro C, Bhagavatula N, Cabrera-Rios M, Lilly B, Castro JM. Identifying the best compromises between multiple performance
measures in injection molding (Im) using Data Envelopment Analysis (DEA): preliminary results. In: Proceedings of annual
technical conference, vol. 1, Society of Plastics Engineers, 2003. p. 377–81.
[596] Castro CE, Rios MC, Lilly B, Castro JM. Selection of process and design variable settings under multiple performance measures in
injection molding. In: Proceedings of annual technical conference, vol. 3, Society of Plastics Engineers, 2004. p. 3448–52.
[597] Castro CE, Rios MC, Lilly B, Castro JM. Simultaneous optimization of mold design and processing conditions in injection
molding. Journal of Polymer Engineering 2005;25(6):459–85.
[598] Castro CE, Rios MC, Lilly B, Castro JM. Optimization and analysis of variability in injection molding. In: Proceedings of annual
technical conference, vol. 2. Brookfield: Society of Plastics Engineers; 2006. p. 1133–7.
[599] Castro JM, Rios MC, Mount-Campbell CA. Modelling and simulation in reactive polymer processing. Modelling and Simulation
in Materials Science and Engineering 2004;12(3):121–49.
[600] Casu B, Girardone C. An analysis of the relevance of off-balance sheet items in explaining productivity change in European
banking. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 49.
[601] Casu B, Girardone C. Bank competition, concentration and efficiency in the single European market. Manchester School
2006;74(4):441–68.
[602] Casu B, Thanassoulis E. Evaluating cost efficiency in central administrative services in UK universities. Omega 2006;34(5):417–26.
[603] Casu B, Molyneux P. A comparative study of efficiency in European banking. Applied Economics 2003;35(17):1865–76.
[604] Casu B, Girardone C, Molyneux P. Productivity change in European banking: a comparison of parametric and non-parametric
approaches. Journal of Banking and Finance 2004;28(10):2521–40.
[605] Casu B, Shaw D, Thanassoulis E. Using a group decision support system to aid input–output identification in Data Envelopment
Analysis. In: Emrouznejad A, Green R, Krivonozhko V, editors. Efficiency and productivity analysis in the 21st century.
International Research in Management Science; 2002.
[606] Casu B, Shaw D, Thanassoulis E. Using a group support system to aid input–output identification in DEA. Journal of the
[607] Caudill SB, Ford JM, Gropper DM. Frontier estimation and firm-specific inefficiency measures in the presence of
heteroscedasticity. Journal of Business and Economic Statistics 1995;1:105–11.
[608] Caulkins JP. Comment. Journal of the American Statistical Association 2001;96(456):1263.
[609] Caulkins JP, Barnett A, Larkey PD, Yuan Y, Goranson J. The on-time machines: some analyses of airline punctuality. Operations
Research 1993;41(4):710–20.
[610] Cavalluzzo L, Baldwin D. Unionization and productive efficiency. In: Fried HO, Schmidt SS, editors. The Measurement of
productive efficiency: techniques and applications, Oxford, UK, 1993. p. 210–20.
[611] Cave M, Hanney S, Kogan M, Trevet G. The use of performance indicators in higher education: a critical analysis of developing
practice. London: Jessica Kingsley Publishers Ltd.; 1988.
[612] Caves DW, Christensen LR, Diewert WE. Multilateral comparisons of output, input, and productivity using superlative index
numbers. Journal of Econometrics 1982;92:73–86.
[613] Caves DW, Christensen LR, Diewert WE. The economic theory of index numbers and the measuremnt of input, output, and
productivity. Econometrica 1982;50:1393–414.
[614] Cazals C, Florens J-P, Simar L. Nonparametric frontier estimation: a robust approach. Journal of Econometrics 2002;106(1):1–25.
[615] Ceha R, Ohta H. Productivity change model in the airline industry: a parametric approach. European Journal of Operational
Research 2000;121(3):641–55.
[616] Cengiz K, Ziya U, Tolga E. Selection among advanced manufacturing technologies using fuzzy Data Envelopment Analysis. In:
Tatra Math, Slovak Acad. Sci. 1999;16:311–23.
[617] Chaffai ME. Estimating input-specific technical inefficiency: the case of the Tunisian banking industry. European Journal of
[618] Chaffai ME, Dietsch M, Lozano-Vivas A. Technological and environmental differences in the European banking industries.
Journal of Financial Research 2001;19(2–3):147–62.
[619] Chai DK, Ho DC. Multiple criteria decision model for resource allocation: a case study in an electric utility. INFOR
1998;36(3):151–60.
[620] Chakraborty K, Biswas B, Lewis WC. Measurement of technical efficiency in public education: a stochastic and nonstochastic
production function approach. Southern Economic Journal 2001;67(4):889–905.
[621] Chakravarty AK. A model for switching dispatching rules in real time in a flexible manufacturing cell. Production and Operations
Management 1997;6(4):398–418.
[622] Chakravarty AK, Ghose S. Supporting manufacturing marketing interface management with a partially automated knowledge
base—a precursor to computer-integrated business-enterprise. Journal of Intelligent Manufacturing 1992:362.
[623] Chakravarty SR. Efficiency and concentration. Journal of Productivity Analysis 1992;3(3):249–55.
[624] Chalos P. An examination of budgetary inefficiency in education using Data Envelopment Analysis. Financial Accountability and
Management 1997;13(1):55–69.
20
[625] Chalos P, Cherian J. An application of Data Envelopment Analysis to public-sector performance-measurement and accountability.
Journal of Accounting and Public Policy 1995;1:143–60.
[626] Chamberlain G. Efficiency bounds for semiparametric regression. Econometrica 1992;6:567–96.
[627] Chambers RG, Lichtenberg E. A nonparametric approach to the Vonliebig-Paris technology. American Journal of Agricultural
Economics 1996;7:373–86.
[628] Chambers RG, Färe R. Hicks neutrality and trade biased growth—a taxonomy. Journal of Economic Theory 1994;6:554–67.
[629] Chambers RG, Färe R, Jaenicke E, Lichtenberg E. Using dominance in forming bounds on DEA models: the case of experimental
agricultural data. Journal of Econometrics 1998;85(1):189–203.
[630] Chan PS, Sueyoshi T. Environmental change, competition, strategy, structure and firm performance. An application of Data
Envelopment Analysis in the airline industry. International Journal of Systems Science 1991;22(9):1625–36.
[631] Chandra P, Cooper WW, Shanling L, Rahman A. Using DEA to evaluate 29 Canadian textile companies-considering returns to
scale. International Journal of Production Economics 1998;54(2):129–41.
[632] Chang AY, Whitehouse DJ, Chang SL, Hsieh YC. An approach to the measurement of single-machine flexibility. International
Journal of Production Research 2001;39(8):1589–601.
[633] Chang DS, Lo LK. Measuring the relative efficiency of a firm’s ability to achieve organizational benefits after ISO certification.
Total Quality Management and Business Excellence 2005;16(1):57–69.
[634] Chang DS, Kuo YC. A novel procedure to identify the minimized overlap boundary of two groups by DEA model. In: Lecture
notes in computer science, vol. 34. Heidelberg, Germany: Springer; 2005. p. 577–86.
[635] Chang H, Cheng M-A, Das S. Hospital ownership and operating efficiency: evidence from Taiwan. European Journal of
[636] Chang H-h. Determinants of hospital efficiency: the case of central. Omega 1998;26(2):307.
[637] Chang HH, Mashruwala R. Was the bell system a natural monopoly? An application of Data Envelopment Analysis. Annals of
[638] Chang KP. Note on ‘a discussion of testing DMUs’ return to scale’ by Zhu and Shen in European-Journal of Operational Research
81-1995 page 590–596. European Journal of Operational Research 1997;97(3):597–9.
[639] Chang KP. Using the frontier production function and minimax approaches in measuring productive efficiency: critical remarks.
OR Spectrum 1998;20(2):91–5.
[640] Chang KP, Kao PH. The relative efficiency of public versus private municipal bus firms: an application of Data Envelopment
Analysis. In: Gulledge TR, Lovell CAK, editors. International applications of productivity and efficiency analysis. Dordrecht, The
Netherlands: Kluwer Academic Publishers; 1992.
[641] Chang KP, Kao PH. The relative efficiency of public-versus private municipal bus firms: an application of Data Envelopment
Analysis. Journal of Productivity Analysis 1992:67–84.
[642] Chang KP, Guh YY. Linear production functions and the Data Envelopment Analysis. European Journal of Operational Research
1991;52(2):215–23.
[643] Chang KP, Guh YY. Piecewise loglinear frontier and log efficiency measures. Computer and Operations Research 1995;2:1031–7.
[644] Chang KP, Pei-Hua K, Yeah-Yuh Guh Y. Piecewise loglinear frontiers and log efficiency measures. Computer and Operations
Research 1995;22:1031–7.
[645] Chang PL, Hwang SN, Cheng WY. Using Data Envelopment Analysis to measure the achievement and change of regionaldevelopment in Taiwan. Journal of Environmental Management 1995;4:49–66.
[646] Chang S-Y, Chen T-H. Discriminating relative workload level by Data Envelopment Analysis. International Journal of Industrial
Ergonomics 2006;36(9):773–8.
[647] Chang TC, Chiu YH. Affecting factors on risk-adjusted efficiency in Taiwan’s banking industry. Contemporary Economic Policy
2006;24(4):634–48.
[648] Chang YL, Sueyoshi T. An interactive application of Data Envelopment Analysis in microcomputers. Computer Science in
Economics and Management 1991:51–64.
[649] Chang YL, Sueyoshi T, Sullivan RS. Ranking dispatching rules by Data Envelopment Analysis in a job shop environment. IIE
Transactions (Institute of Industrial Engineers) 1996;28(8):631–42.
[650] Chao-Chung K. Analyzing for production efficiency in telecommunications industry: the Taiwan case. Business Review,
Cambridge 2006;5(1):111.
[651] Chapelle K, Plane P. Productive efficiency in the Ivorian manufacturing sector: an exploratory study using a Data Envelopment
Analysis approach. Journal of Development Economics 2005;43(4):450–71.
[652] Chapin A, Schmidt S. Do mergers improve efficiency? Evidence from deregulated rail freight. Journal of Transport Economics and
Policy 1999;33:147–62.
[653] Chapple W, Lockett A, Siegel D, Wright M. Assessing the relative performance of UK university technology transfer offices:
parametric and non-parametric evidence. Research Policy 2005;34(3):369–84.
[654] Charnes A, Armando GallegosHongyu L. Robustly efficient parametric frontiers via multiplicative DEA for domestic and
international operations of the Latin America airline industry. European Journal of Operational Research 1996;88(3):525–36.
[655] Charnes A, Neralic L. Sensitivity analysis in Data Envelopment Analysis—Part 1. Glasnik Matemativ Ckiserija 1989;2:211–26.
[656] Charnes A, Neralic L. Sensitivity analysis of the additive model in Data Envelopment Analysis. European Journal of Operational
Research 1990;48(3):332–41.
[657] Charnes A, Neralic L. Sensitivity analysis in Data Envelopment Analysis for the case of non-discretionary inputs and outputs—
Part 3. Glasnik Matematicki 1995;30(2):359–71.
21
[658] Charnes A, Thrall RM. Classifying and characterizing efficiencies and inefficiencies in Data Envelopment Analysis. Operations
Research Letters 1986;5(3):105–10.
[659] Charnes A, Thrall RM. A structure for classifying and characterizing efficiency and inefficiency in Data Envelopment Analysis.
[660] Charnes A, Zlobec S. Stability of efficiency evaluations in Data Envelopment Analysis. ZOR, Methods and Models of Operations
Research 1989;33(3):167–79.
[661] Charnes A, Li SX. Using Data Envelopment Analysis to evaluate efficiency in the economic performance of Chinese cities. SocioEconomic Planning Sciences 1989;23:325–44.
[662] Charnes A, Sueyoshi T. Least squares/ridge regression and goal programming/constrained regression alternatives. European
Journal of Operational Research 1986;27:146–57.
[663] Charnes A, Sueyoshi T. A goal programming/constrained regression review of the bell system breakup. Management Science
1988;34(1):1–26.
[664] Charnes A, Cooper WW. Managerial economics: past, present and future. Journal of Enterprise Management 1978;1(1):5–23.
[665] Charnes A, Cooper WW. Auditing and accounting for program efficiency and management efficiency in not-for-profit entities.
Accounting, Organizations and Society 1980;5(1):87–107.
[666] Charnes A, Cooper WW. Management science relations for evaluation and management accountability. Journal of Enterprise
Management 1980:143–62.
[667] Charnes A, Cooper WW. The non-Archimedean CCR ratio for efficiency analysis. European Journal of Operational Research
1984;1:333–4.
[668] Charnes A, Cooper WW. Preface to topics in Data Envelopment Analysis. Annals of Operations Research 1985;2:59–94.
[669] Charnes A, Cooper WW. Data Envelopment Analysis. In: Bradley H, editor. Proceesings of the 12th IFORS international
conference on operational research, 1991.
[670] Charnes A, Huang ZM. Polyhedral cone-ratio DEA models with an ilustractive application to large commercial banks. Journal of
Econometrics 1990;46:73–91.
[671] Charnes A, Gallegos A, Hongyu L. Robustly efficient parametric frontiers via multiplicative DEA for domestic and international
operations of the Latin American airline industry. European Journal of Operational Research 1996;88(3):525–36.
[672] Charnes A, Clark CT, Golany B, Cooper WW. A developmental study of Data Envelopment Analysis in measuring the efficiency
of maintenance units in the US air force. Annals of Operations Research 1985;2:95–112.
[673] Charnes A, Clark CT, Cooper WW, Golany B. A developmental study of Data Envelopment Analysis in measuring the efficiency
of maintenance units in the US air forces. Annals of Operations Research 1985:95–112.
[674] Charnes A, Rousseau J, Semple J. An effective non-Archimedean anti-degeneracy/cycling linear programming method especially
for Data Envelopment Analysis and like models. Annals of Operations Research 1993;46–47(1–4):271–8.
[675] Charnes A, Roussea JJ, Semple JH. Sensitivity and stability of efficiency classifications in Data Envelopment Analysis. Journal of
[676] Charnes A, Rousseau JJ, Semple JH. Nonarchimedean infinitesimals, transcendentals and categorical inputs in linear programming
and Data Envelopment Analysis. International Journal of Systems Science 1992;23(12):2401–6.
[677] Charnes A, Rousseau JJ, Schinnar AP, Terleckyj N, Levy D. A goal-focusing approach to intergenerational transfers of income.
International Journal of Systems Science 1980;7:443–6.
[678] Charnes A, Clarke R, Cooper WW. Testing for organizational slack with R. Banker’s game theoretic formulation of DEA. JAI
Press 1989:5.
[679] Charnes A, Clarke R, Divine D, Ruefli TW, Thomas D. Comparisons of DEA and existing ratio and regression systems for
effecting efficiency evaluations of regulated electric cooperatives in Texas. JAI Press 1989;5:187–210.
[680] Charnes A, Clarke RL, Cooper WW. An approach to testing for organisational slack with R banker’s game theoretic formulation
of DEA. Research in Governmental and Non-Profit Accounting 1989:230.
[681] Charnes A, Haag S, Jaska P, Semple J. Sensitivity of efficiency classifications in the additive model of Data Envelopment Analysis.
International Journal of Systems Science 1992;23(5):789–98.
[682] Charnes A, Cooper WW, Schinnar AP. Transforms and approximation in cost and production function relations. Omega
1982;1:207–11.
[683] Charnes A, Cooper WW, Schinnar AP. An extended Cobb–Douglas form for use in production economics. In: Kaul T, Sengupta
JK, editors. Essays in honor of Karl Afox. Amsterdam: Elsevier Science Publishers; 1991. p. 99–124.
[684] Charnes A, Cooper WW, Rhodes E. Short communication: measuring the efficiency of decision making units. European Journal of
Operational Research 1979:339.
[685] Charnes A, Cooper WW, Rhodes E. The distribution of DMU efficiency measures—appendix to management science relations for
evaluation and management accountability. Journal of Enterprise Management 1980:160–2.
[686] Charnes A, Cooper WW, Rhodes E. Evaluating program and managerial efficiency: an application of Data Envelopment Analysis
to program follow through. Management Science 1981;27(6):668–97.
[687] Charnes A, Cooper WW, Rhodes EL. Measuring the efficiency of decision making units. European Journal of Operational
Research 1978;2:429–44.
[688] Charnes A, Cooper WW, Rhodes EL. Short communication: measuring efficiency of decision making units. European Journal of
Operational Research 1979;3:339.
[689] Charnes A, Cooper WW, Rhodes EL. An efficiency opening for managerial accounting in not-for-profit entities. In: Hpholzer,
editor. Proceedings of management accounting. The University of Illinois Management Accounting, 1980. p. 21–47.
22
[690] Charnes A, Cooper WW, Rhodes EL. The distribution of DMU efficiency measures. Journal of Enterprise Management
1980;2(2):143–62.
[691] Charnes A, Cooper WW, Rhodes EL. Evaluating program and managerial efficiency: an application of DEA to program follow
through. Management Science 1981;27(6):668–97.
[692] Charnes A, Cooper WW, Wei QL. Fundamental theorems of nondominated solutions associated with cones in normed linear
spaces. Journal of Mathematical Analysts and Applications 1990;15:54–78.
[693] Charnes A, Cooper WW, Clarke RL. An approach to testing for organizational slack with R. Banker’s game theoretic formulation
of DEA. Research in Governmental and Non-Profit Accounting 1989;5:211–30.
[694] Charnes A, Cooper WW, Thrall RM. Classifying and characterizing efficiencies and inefficiencies in data development analysis.
Operations Research Letters 1986;5(3):105–10.
[695] Charnes A, Cooper WW, Thrall RM. A structure for classifying and characterising efficiency and inefficiency in data development
analysis. Journal of Productivity Analysis 1991:197–237.
[696] Charnes A, Cooper WW, Li SL. Using Data Envelopment Analysis to evaluate efficiency in the economic-performance of Chinese
cities. Socio-Economic Planning Sciences 1989;2:325–44.
[697] Charnes A, Cooper WW, Sueyoshi T. Least square/ridge regression and goal programming/constrained regression alternatives.
[698] Charnes A, Cooper WW, Sueyoshi T. A goal programming/constrained regression review of the bell system break-up.
[699] Charnes A, Cooper WW, Huang ZM. Polyhedral cone-ratio DEA models with an illustrative application to large commercial
banks. Journal of Econometrics 1990;46(1/2):73–91.
[700] Charnes A, Cooper WW, Lewin AY, Seiford LM. Data Envelopment Analysis: theory, methodology, and applications. Dordrecht,
The Netherlands: Kluwer; 1995.
[701] Charnes A, Cooper WW, Golany B, Phillips FY, Rousseau J. A Data Envelopment AnalysisData Envelopment Analysis of highturnover consumer products in competitive markets. In: Charnes A, Cooper WW, Lewin AY, Seiford LM, editors. Data
Envelopment Analysis: theory, methodology, and applications. Dordrecht, The Netherlands: Kluwer; 1995. p. 145–66.
[702] Charnes A, Cooper WW, Golany B, Phillips FY, Rousseau JJ. A multi period analysis of market segments and brand efficiency in
the competitive carbonated beverage industry. In: Charnes A, Cooper WW, Lewin AY, Seiford LM, editors. Data Envelopment
Analysis: theory, methodology, and applications. Dordrecht, The Netherlands: Kluwer; 1995.
[703] Charnes A, Cooper WW, Golany B, Seiford LM, Stutz J. Foundations of Data Envelopment Analysis for Pareto–Koopmans
efficient empirical production functions. Journal of Econometrics 1985;30(1/2):91–107.
[704] Charnes A, Cooper WW, Divine D, Ruefli TW, Thomas D. Comparisons of DEA and existing ratio and regression systems for
effecting efficiency evaluations of regulated electric Co. Research in Governmental and Non-Profit Accounting 1989:210.
[705] Charnes A, Cooper WW, Learner DB, Phillips FY. Management science and marketing management. Journal of Marketing
1985:49.
[706] Charnes A, Cooper WW, Seiford LM, Stutz J. A multiplicative model for efficiency analysis. Socio-Economic Planning Sciences
1982;1:223–4.
[707] Charnes A, Cooper WW, Seiford LM, Stutz J. Invariant multiplicative efficiency and piecewise Cobb–Douglas envelopments.
Operations Research Letters 1983;2(3):101–3.
[708] Charnes A, Cooper WW, Dieck-Assad M, Golany B, Wiggins D. Efficiency analysis of uses of medical care resources in the US
army health services command. In: Kuhn RL, editor. Frontiers of medical information science. New York: Praeger; 1988. p. 1–120.
[709] Charnes A, Cooper WW, Sears M, Zlobec S. Efficiency evaluations in perturbed Data Envelopment Analysis. In: Guddat J, Jongen
HT, Kummer B, Nozicka F, editors. Mathematical research: proceedings of the second, 1991. p. 38–49.
[710] Charnes A, Cooper WW, Qei QL, Huang ZM. Cone ratio Data Envelopment Analysis and multi-objective programming.
International Journal of Systems Science 1989;20(7):1099–118.
[711] Charnes A, Cooper WW, Niehaus R, Shinnar A. Measuring efficiency and tradeoffs in attainment of eeo goals, work,
organizations, and technological change. In: Proceedings of NATO conference series, Series: systems science, vol. 1, 1982. p.
2414–56.
[712] Charnes A, Cooper WW, Huang ZM, Sun DB. Relations between half-space and finitely generated cones in polyhedral cone-ratio
DEA models. International Journal of Systems Science 1991;22(11):2057–77.
[713] Charnes A, Huang ZM, Semple J, Song T, Thomas D. Origins and research in Data Envelopment Analysis. Arabian Journal for
Science and Engineering 1990;1:617–25.
[714] Charnes A, Huang ZM, Rousseau JJ, Wei QL. Cone extremal solutions of multi-payoff games with cross-constrained strategy sets.
Optimisation 1990;2:51–69.
[715] Chattopadhyay S, Spring DH. Are for-profit nursing homes more efficient? Data Envelopment Analysis with a case-mix constraint.
Eastern Economic Journal 1994;20(2):171–86.
[716] Chattopadhyay S, Ray SC. Technical, scale, and size efficiency in nursing home care: a nonparametric analysis of Connecticut
homes. Health Economics 1996;5(4):363–73.
[717] Chatzoglou PD, Soteriou AC. A DEA framework to assess the efficiency of the software requirements capture and analysis process.
Decision Sciences 1999;30(2):503–31.
[718] Chau KW, Poon SW, Wang YS, Lu LL. Technological progress and the productive efficiency of construction firms in Hong Kong,
1981–2001. Journal of Construction Research 2005;6(2):195–207.
[719] Chaudhary DS, Jollands MC. Characterization of rice hull ash. Journal of Applied Polynomial Science 2004;93(1):1–8.
23
[720] Chauhan NS, Mohapatra PKJ, Pandey KP. Improving energy productivity in paddy production through benchmarking—an
application of Data Envelopment Analysis. Energy Conversion and Management 2006;47(9–10):1063–85.
[721] Chavas JP, Aliber M. An analysis of economic-efficiency in agriculture—a nonparametricapproach. Journal of Agricultural and
Resource Economics 1993;1:1–16.
[722] Chavas JP, Cox TL. A nonparametric analysis of productivity—the case of United States and Japanese manufacturing. American
Economic Review 1990;8:450–64.
[723] Chavas JP, Cox TL. A nonparametric analysis of the influence of research on agricultural productivity. American Journal of
Agricultural Economics 1991;7:1540.
[724] Chavas JP, Cox TL. Primal-dual approach to nonparametric productivity analysis—the case of US agriculture. Journal of
Productivity Analysis 1994:359–73.
[725] Chavas JP, Cox TL. A generalized distance function and the analysis of production efficiency. Southern Economic Journal
1999;66(2):294–318.
[726] Chebat JC, Filiatrault P, Katz A, Tal SM. Strategic auditing of human and financial resource-allocation inmarketing—an
empirical-study using Data Envelopment Analysis. Journal of Business Research 1994;3:197–208.
[727] Chen A, Hwang Y, Shao B. Measurement and sources of overall and input inefficiencies: evidences and implications in hospital
services. European Journal of Operational Research 2005;161(2):447–68.
[728] Chen CJ, Wu HL, Lin BW. Evaluating the development of high-tech industries: Taiwan’s science park. Technological Forecasting
and Social Change 2006;73(4):452–65.
[729] Chen C-W, Liou T-S, Wu Y-S. The performance measurement of local banks in the era of the financial liberalization on Taiwan.
International Journal of Information and Management Sciences 2004;15(4):89–104.
[730] Chen F-L, Pel B-S, Chen W-H, Yen C-H, Wang P-C, Wei L-C. A rationalization price study of maintenance and repair of the
transformer equipments in a substation. Monthly Journal of Taipower’s Engineering 2005;686:45–61.
[731] Chen M-F, Hu J-L, Ding CG. Efficiency and productivity of Taiwan’s biotech industry. International Journal of Biotechnology
2005;7(4):307–22.
[732] Chen S, Cai X. Application of Data Envelopment Analysis (DEA) on measuring the effect of technological innovation on scaleeconomies of automobile. In: Proceedings of the IEEE international conference on systems, man and cybernetics, vol. 3.
Piscataway, NJ, USA: IEEE; 1996. p. 2354–8.
[733] Chen S, Cai X. The application of Data Envelopment Analysis (DEA) on measuring the effect of technological innovation on scaleeconomies of the automobile. In: Proceedings of IEEE international conference on systems, man and cybernetics, vol. 3.
Information Intelligence and Systems IEEE, 1996. p. 2354–8.
[734] Chen TY. Measurement of the resource utilization efficiency of university libraries. International Journal of Production Economics
1997;53(1):71–80.
[735] Chen TY. A study of bank efficiency and ownership in Taiwan. Applied Economics Letters 1998;5(10):613–6.
[736] Chen T-Y. Interpreting technical efficiency and cross-efficiency ratings in power distribution districts. Pacific and Asian Journal of
Energy 1999;9(1):31–43.
[737] Chen T-Y. An estimation of X-inefficiency in Taiwan’s banks. Applied Financial Economics 2001;11(3):237–42.
[738] Chen T-Y. A comparison of chance-constrained DEA and stochastic frontier analysis: bank efficiency in Taiwan. Journal of the
[739] Chen TY. An assessment of technical efficiency and cross-efficiency in Taiwan’s electricity distribution sector. European Journal of
[740] Chen TY. Measuring firm performance with DEA and prior information in Taiwan’s banks. Applied Economics Letters
2002;9(3):201–4.
[741] Chen T-Y. Measuring operation, market and financial efficiency in the management of Taiwan’s banks. Services Marketing
Quarterly 2002;24(2):15–27.
[742] Chen TY. A study of cost efficiency and privatisation in Taiwan’s banks: the impact of the Asian financial crisis. Service Industries
Journal 2004;24(5):137–51.
[743] Chen TY, Yu OS. Performance evaluation of selected US utility commercial lighting demand-side management programs. Energy
Engineering 1997;94(4):50–66.
[744] Chen TY, Yeh TL. A study of efficiency evaluation in Taiwan’s banks. International Journal of Service Industry Management
1998;9(5):402.
[745] Chen WC, McGinnis LF. Reconciling ratio analysis and DEA as performance assessment tools. European Journal of Operational
Research 2007;178(1):277–91.
[746] Chen Y. A non-radial Malmquist productivity index with an illustrative application to Chinese major industries. International
Journal of Production Economics 2003;83(1):27–35.
[747] Chen Y. Measuring super-efficiency in DEA in the presence of infeasibility. European Journal of Operational Research
2005;161(2):545–51.
[748] Chen Y. On preference structure in Data Envelopment Analysis. International Journal of Information Technology and Decision
2005;4(3):411–31.
[749] Chen Y, Ali AI. DEA Malmquist productivity measure: new insights with an application to computer industry. European Journal
[750] Chen Y, Sherman HD. The benefits of non-radial vs. radial super-efficiency DEA: an application to burden-sharing amongst
NATO member nations. Socio-Economic Planning Sciences 2004;38(4):307–20.
24
[751] Chen Y, Zhu J. DEA models for identifying critical performance measures. Annals of Operations Research 2003;124(1–4):225–44.
[752] Chen Y, Zhu J. Measuring information technology’s indirect impact on firm performance. Information Technology and
Management 2004;5(1–2):9–22.
[753] Chen Y, Morita H, Zhu J. Context-dependent DEA with an application to Tokyo public libraries. International Journal of
Information Technology and Decision 2005;4(3):385–94.
[754] Chen Y, Liang L, Yang F, Zhu J. Evaluation of information technology investment: a Data Envelopment Analysis approach.
[755] Chen Y, Motiwalla L, Khan MR. Using super efficiency DEA to evaluate financial performance of e-business initiative in the retail
industry. International Journal of Information Technology and Decision 2004;3(2):337–51.
[756] Chen Y-K, Liao H-C. Multi-criteria design of an control chart. Computers and Industrial Engineering 2004;46(4):877–91.
[757] Chen Y-W, Tzeng G-H. Fuzzy DEA/AR model. In: Proceedings of the joint conference on information sciences, vol. 5, Duke
University/Association for Intelligent Machinery, 2000. p. 115–8.
[758] Chen ZP, Lin RY. Main methods for the mutual fund performance evaluation based on DEA models. Journal of Systems
Engineering 2005;20(1):73–93.
[759] Chen ZP, Lin RY. Mutual fund performance evaluation using Data Envelopment Analysis with new risk measures. OR Spectrum
2006;28(3):375–98.
[760] Cheng EWL, Li H. Exploring quantitative methods for project location selection. Building and Environment 2004;39(12):1467–76.
[761] Cheng EWL, Chiang YH, Tang BS. Alternative approach to credit scoring by DEA: evaluating borrowers with respect to Pfi
projects. Building and Environment 2007;42(4):1752–60.
[762] Cheng S, Song G, Yang G. Research on logistics synthesis evaluation based on analysis of DEA sensitivity. Industrial Engineering
and Management 2005;10(5):83–7.
[763] Cheng-Few L, Kehluh W, Ya-Hui P. Cost structure and efficiency of the credit departments of the farmers’ association in Taiwan.
Review of Pacific Basin Financial Markets and Policies 2006;9(3):385.
[764] Cherchye L. Using Data Envelopment Analysis to assess macroeconomic policy performance. Applied Economics
2001;33(3):407–16.
[765] Cherchye L, Post GT. Methodological advances in DEA: a survey and an application for the Dutch electricity sector. Statistica
Neerlandica 2003;57(4):410.
[766] Cherchye L, Abeele PV. On research efficiency: a micro-analysis of Dutch university research in economics and business
management. Research Policy 2005;34(4):495–516.
[767] Cherchye L, van Puyenbroeck T. Learning from input–output mixes in DEA: a proportional measure for slack-based efficient
projections. Managerial and Decision Economics 1999;20(3):151–61.
[768] Cherchye L, Van Puyenbroeck T. A comment on multi-stage DEA methodology. Operations Research Letters 2001;28(2):93–8.
[769] Cherchye L, Van Puyenbroeck T. Product mixes as objects of choice in non-parametric efficiency measurement. European Journal
[770] Cherchye L, Van Puyenbroeck T. Profit efficiency analysis under limited information with an application to German farm types.
Omega 2007;35(3):335–49.
[771] Cherchye L, Post GT, Kuosmanen T. Alternative treatments of congestion in DEA. European Journal of Operational Research
2001;132(1):75–80.
[772] Cherchye L, Kuosmanen T, Post GT. What is the economic meaning of FDH? A reply to Thrall. Journal of Productivity Analysis
2000;13(3):263–7.
[773] Cherchye L, Kuosmanen T, Post GT. Alternative treatments of congestion in DEA: a rejoinder to Cooper, Gu, and Li. European
[774] Cherchye L, Kuosmanen T, Post GT. FDH directional distance functions with an application to European commercial banks.
[775] Cherchye L, Kuosmanen T, Post GT. Non-parametric production analysis in non-competitive environments. International Journal
of Production Economics 2002;80(3):279–94.
[776] Cherchye L, Kuosmanen T, Post GT. Nonparametric efficiency estimation in stochastic environments, Rotterdam Institute for
Business Economics Studies. Operations Research 2003;50(4):645–55.
[777] Cherchye L, Moesen W, Van Puyenbroeck T. Legitimately diverse, yet comparable: on synthesizing social inclusion performance in
the EU. Journal of Common Market Studies 2004;42(5):919–55.
[778] Chern JY, Wan TTH. The impact of the prospective payment system on the technical efficiency of hospitals. Journal of Medical
Systems 2000;24(3):159–72 JUN.
[779] Chi X, Yang D. DEA model about evaluating effect of human resources upon economic development and economic growth.
Journal of Dalian University of Technology 1995;35(3):433.
[780] Chiang K. Some properties of Pareto efficiency under the framework of Data Envelopment Analysis. International Journal of
Systems Science 1995;26(9):1549–58.
[781] Chiang K. Data Envelopment Analysis with missing data. In: Proceedings of fifth international symposium on operational research
in Slovenia, Slovenian Soc. Informatika, 1999. p. 173–8.
[782] Chiang K. Short-run and long-run efficiency measures for multiplant firms. Annals of Operations Research 2000;97:379–88.
[783] Chiang K, Shiang-Tai L. Fuzzy efficiency measures in Data Envelopment Analysis. Fuzzy Sets and Systems 2000;113(3):427–37.
[784] Chiang K, Liang-Hsuan C, Tai-Yue W, Shyanjaw K, Shi-Dai H. Productivity improvement: efficiency approach vs. effectiveness
approach. Omega 1995;23(2):197–204.
25
[785] Chiang Y-H, Cheng EWL, Tang B-S. Examining repercussions of consumptions and inputs placed on the construction sector by
use of I–O tables and DEA. Building and Environment 2006;41(1):1–11.
[786] Chien C-F, Lo F-Y, Lin JT. Using DEA to measure the relative efficiency of the service center and improve operation efficiency
through reorganization. IEEE Transactions on Power Systems 2003;18(1):366–73.
[787] Chien-Ta H, Tan KH. Measuring operational efficiency: an approach based on the Data Envelopment Analysis. International
Journal of Management and Enterprise Development 2004;1(2):120–35.
[788] Chih-Ming L, Hen-Shen H, Shen-Tsu W, Hai-Kun L. A performance evaluation model based on AHP and DEA. Journal of
Chinese Institute of Industrial Engineers 2005;22(3):243–51.
[789] Chilingerian JA. Evaluating physician efficiency in hospitals: a multivariate analysis of best practices. European Journal of
[790] Chilingerian JA. Exploring why some physicians’ hospital practices are more efficient: taking DEA inside the hospital. In: Charnes
A, Cooper WW, Lewin AY, Seiford LM, editors. Data Envelopment Analysis: theory, methodology, and applications. Dordrecht,
[791] Chilingerian JA. Investigating non-medical factors associated with the technical efficiency of physicians in the provision of hospital
services: a pilot. Annual best paper. In: Proceedings of the academy of management, 1999.
[792] Chilingerian JA, Sherman HD. Managing physician efficiency and effectiveness in providing hospital services. Health Services
Management Research 1990;3(1):3–15.
[793] Chilingerian JA, Sherman HD. Evaluating and marketing efficient physicians toward competitive advantage. Health Care Strategic
Management 1994;12(5):16–9.
[794] Chilingerian JA, Sherman HD. Benchmarking physician practice patterns with DEA: a multi-stage approach for cost containment.
Annals of Operations Research 1996;67:83–116.
[795] Chilingerian JA, Sherman HD. DEA and primary care physician report cards: deriving preferred practice cones from managed care
service concepts and operating strategies. Annals of Operations Research 1997;73:35–66.
[796] Ching-Kuo W. Measuring efficiency and productivity change in Taiwan hospitals: a nonparametric frontier approach. Journal of
the American Academy of Business, Cambridge 2006;10(1):317.
[797] Ching-Lan C, Chi-Hao Y. The key performance indices model of product data management system for LCD industry.
International Journal of Electronic Business Management 2005;3(4):278–82.
[798] Chiou H-K, Tsou Y-Y, Tzeng G-H. Fuzzy multiple objective programming for performance evaluation of public sectors in
Taiwan. In: Proceedings of IEEE international conference on systems, man and cybernetics, vol. 4. New York: IEEE; 2005. p.
3742–6.
[799] Chiou Y-C, Chen Y-H. Route-based performance evaluation of Taiwanese domestic airlines using Data Envelopment Analysis.
Transportation Research Part E: Logistics and Transportation Review 2006;42(2):116–27.
[800] Chirikos TN, Sear AM. Technical efficiency and the competitive behavior of hospitals. Socio-Economic Planning Sciences
1994;2:219–27.
[801] Chirikos TN, Sear AM. Measuring hospital efficiency: a comparison of two approaches. Health Services Research
2000;34(6):1389–408.
[802] Chirwa EW. Privatization and technical efficiency: evidence from the manufacturing sector in Malawi. African Development
Review 2001;13(2):276–307.
[803] Chitkara P. A Data Envelopment Analysis approach to evaluation of operational inefficiencies in power. IEEE Transactions on
Power Systems 1999;14(2):419.
[804] Chitkara P. Data Envelopment Analysis approach to evaluation of operational inefficiencies in power generating units: a case study
of Indian power plants. IEEE Transactions on Power Systems 1999;14(2):419–25.
[805] Choi O, Stefanou SE, Stokes JR. The dynamics of efficiency improving input allocation. Journal of Productivity Analysis
2006;25(1):159–71.
[806] Choi SO. Relative efficiency of fire and emergency services in Florida: an application and test of Data Envelopment Analysis.
International Journal of Emergency Management 2005;2(3):218–30.
[807] Chu HL, Liu SZ, Romeis JC. Does the implementation of responsibility centers, total quality management, and physician fee
programs improve hospital efficiency? Evidence from Taiwan hospitals. Medical Care 2002;40(12):1223–37.
[808] Chu HL, Liu SZ, Romeis JC, Yaung CL. The initial effects of physician compensation programs in Taiwan hospitals: implications
for staff model HMOS. Health Care Management Science 2003;6(1):17–26.
[809] Chun-Chu L. A study for allocating resources to research and development programs by integrated subjective and objective
decision method. American Journal of Applied Sciences 2005;2(5):976–9.
[810] Chun-Chu L, Chia-Yon C. A two-dimensional model for allocating resources to R&D programs. Journal of the American
Academy of Business, Cambridge 2004;5(1/2):469–73.
[811] Chun-Chu L, Chia-Yon C. Incorporating value judgments into Data Envelopment Analysis to improve decision quality for
organization. Journal of the American Academy of Business, Cambridge 2004;5(1/2):423–7.
[812] Chung YH, Färe R, Grosskopf S. Productivity and undesirable outputs: a directional distance function approach. Journal of
[813] Chung-Jen C, Quey-Jen Y. A comparative performance evaluation of Taiwan’s high-tech industries. International Journal of Bus
Per Man 2005;7(1):16–33.
[814] Chun-Hsiung L, Yu-Hua L, Chi-Chung C, Liang-Lun C. Efficiency-based recruitment plan for chained quick-service enterprise.
Human Systems Management 2006;25(3):197–209.
26
[815] Churilov L, Flitman A. Towards fair ranking of Olympics achievements: the case of Sydney 2000. Computer and Operations
Research 2006;33(7):2057–82.
[816] Cielen A, Peeters L, Vanhoof K. Bankruptcy prediction using a Data Envelopment Analysis. European Journal of Operational
Research 2004;154(2):526–32.
[817] C
- inar Ü, Reisman A, Oral M, Gattoufi S. Predicting technical efficiency using confident-DEA: a cross-country application to
banking systems in OECD countries. In: Proceedings of Central and Eastern Europe workshop on efficiency and productivity
analysis, 2002.
[818] Cinca CS, Molinero CM. Selecting DEA specifications and ranking units via PCA. Journal of the Operational Research Society
2004;55(5):521–8.
[819] Cinemre HA, Ceyhan V, Bozoglu M, Demiryurek K, Kilic O. The cost efficiency of trout farms in the black sea region, Turkey.
Aquaculture 2006;251(2–4):324–32.
[820] Claggett JET, Ferrier GD. The efficiency of TVA power distributors. Managerial and Decision Economics 1998;19(6):365–76.
[821] Clark GE, Moser SC, Ratick SJ, Dow K, Meyer WB, Emani S, et al. Assessing the vulnerability of coastal communities to extreme
storms: the case of revere, M.A., USA. Journal of Productivity Analysis 1998;3(1):59–82.
[822] Clark JA. Economic cost, scale efficiency, and competitive viability in banking. Journal of Money, Credit and Banking
1996;28(3):342–64.
[823] Clarke RL. Evaluating USAF vehicle maintenance productivity over time: an application of Data Envelopment Analysis. Decision
Sciences 1992;23(2):376–84.
[824] Clarke RL, Gourdin KN. Measuring the efficiency of the logistics progress. Journal of Business Logistics 1991;12(2):17–33.
[825] Clemons EK. Special section: competitive and strategic value of information technology. Journal of Management Information
Systems 1990;7(2):5–7.
[826] Cloutier LM, Rowley R. Relative technical efficiency—Data Envelopment Analysis and Quebecdairy farms. Canadian Journal of
Agricultural Economics-Revue 1993;4:169–76.
[827] Co HC, Chew KS. Performance and R&D expenditures in American and Japanese manufacturing firms. International Journal of
Production Research 1997;35(12):3333–48.
[828] Coates D. The effects of campaign spending on electoral outcomes: a Data Envelopment Analysis. Public Choice 1999;99(1/
2):15–37.
[829] Coates DC, Lamdin DJ. School performance evaluation using Data Envelopment Analysis. Public Finance and Management
2002;2(4):566–91.
[830] Coelli T. A multi-stage methodology for the solution of orientated DEA models. Operations Research Letters 1998;23(3–5):143–9.
[831] Coelli T, Perelman S. Comparison of parametric and non-parametric distance functions: with application to European railways.
[832] Coelli T, Estache A, Perelman S, Trujillo L. A primer on efficiency measurement for utilities and transport regulators. World Bank;
2003.
[833] Coelli TJ. Estimators and hypothesis tests for a stochastic frontier function: a Monte Carlo analysis. Journal of Productivity
Analysis 1995;6(3):247–68.
[834] Coelli TJ. Recent developments in frontier modelling and efficiency measurement. Australian Journal of Agricultural Economics
1995;3:219–45.
[835] Coelli TJ, Rao DSP. Total factor productivity growth in agriculture: a Malmquist index analysis of 93 countries, 1980–2000.
Agricultural Economics 2005;32:115–34.
[836] Coffey ME, Workman SR, Taraba JL, Fogle AW. Statistical procedures for evaluating daily and monthly hydrologic model
predictions. Transactions of the American Society of Agricultural Engineers 2004;47(1):59–68.
[837] Colbert A, Levary RR, Shaner MC. Determining the relative efficiency of MBA programs using DEA. European Journal of
[838] Colin Glass J, McCallion G, McKillop DG, Rasaratnam S, Stringer KS. Implications of variant efficiency measures for policy
evaluations in UK higher education. Socio-Economic Planning Sciences 2006;40(2):119–42.
[839] Collier DA, Collier CE, Kelly TM. Benchmarking physician performance, Part 1. Journal of Medical Practice Management
2006;21(4):185–9.
[840] Collier DA, Collier CE, Kelly TM. Benchmarking physician performance, Part 2. Journal of Medical Practice Management
2006;21(5):273–9.
[841] Colwell RJ, Davis EP. Output and productivity in banking. Scandinavian Journal of Economics 1992;9.
[842] Conka T, Ercan S. The combined decision model for selecting and prioritizing research and development projects. In: Proceedings
of the second international conference on recent advances in space technologies. New York: IEEE; 2005. p. 823–8.
[843] Conway RK, Gollop F, Ball E. New productivity-measurement research. American Journal of Agricultural Economics
1990;7:1335.
[844] Cook WD, Johnston DA. Evaluating suppliers of complex systems: a multiple criteria approach. Journal of the Operational
[845] Cook WD, Zhu J. Output deterioration with input reduction in Data Envelopment Analysis. IIE Transactions 2003;35(3):309–20.
[846] Cook WD, Zhu J. Allocation of shared costs among decision making units: a DEA approach. Computer and Operations Research
2005;32(8):2171–8.
[847] Cook WD, Zhu J. Building performance standards into Data Envelopment Analysis structures. IIE Transactions
2005;37(3):267–75.
27
[848] Cook WD, Zhu J. Incorporating multiprocess performance standards into the DEA framework. Operations Research
2006;54(4):656–65.
[849] Cook WD, Zhu J. Rank order data in DEA: a general framework. European Journal of Operational Research
2006;174(2):1021–38.
[850] Cook WD, Bala K. Performance measurement and classification data in DEA: input-oriented model. Omega 2007;35(1):39–52.
[851] Cook WD, Seiford LM. Priority ranking and consensus formation: the case of ties. Management Science 1982;28(6):638–45.
[852] Cook WD, Seiford LM. R&D project selection in a multi-dimensional environment: a practical approach. Journal of the
[853] Cook WD, Hababou M. Sales performance measurement in bank branches. Omega 2001;29(4):299–307.
[854] Cook WD, Kress M. Ordinal ranking with intensity of preference. Management Science 1985;31(1):26–32.
[855] Cook WD, Kress M. A case study of non-compensatory approach to ranking transportation projects. Journal of the Operational
[856] Cook WD, Kress M. A data envelopment model for aggregating preference rankings. Management Science 1990;36(11):1302–10.
[857] Cook WD, Kress M. An M generation model for weak ranking of players in a tournament. Journal of the Operational Research
Society 1990;41(12):1111–9.
[858] Cook WD, Kress M. A multiple criteria decision model with ordinal preference data. European Journal of Operational Research
1991;54(2):191–8.
[859] Cook WD, Kress M. Ordinal information and preference structures: decision models and applications. Englewood Cliffs, NJ:
Prentice-Hall; 1991.
[860] Cook WD, Kress M. Rating players in a tournament: an Mth-generation approach. In: Phillips FY, Rousseau JJ, editors. Systems
and management science by extremal methods. Dordrecht, The Netherlands: Kluwer; 1992. p. 349–60.
[861] Cook WD, Kress M. Characterizing an equitable allocation of shared costs: a DEA approach. European Journal of Operational
Research 1999;119(3):652–61.
[862] Cook WD, Green RH. Upper and lower bound evaluation of multiattribute objects: comparison models using linear programming.
Organizational Behavior and Human Decision Processes 1995;64(3):261–73.
[863] Cook WD, Green RH. Setting performance targets for new decision making units in Data Envelopment Analysis. Information
Systems and Operational Research 1998;36(3):177–88.
[864] Cook WD, Green RH. Project prioritization: a resource-constrained Data Envelopment Analysis approach. Socio-Economic
[865] Cook WD, Green RH. Selecting sites for new facilities using Data Envelopment Analysis. Journal of Productivity Analysis
2003;19(1):77–91.
[866] Cook WD, Green RH. Multicomponent efficiency measurement and core business identification in multiplant firms: a DEA model.
[867] Cook WD, Green RH. Evaluating power plant efficiency: a hierarchical model. Computer and Operations Research
2005;32(4):813–23.
[868] Cook WD, Roll Y. R-and-D project selection-productivity considerations. R and D Management 1988;1:251–6.
[869] Cook WD, Kazakov A, Persaud BN. Prioritising highway accident sites: a Data Envelopment Analysis model. Journal of the
[870] Cook WD, Kazakov A, Green RH. Setting performance targets for new decision making units in DEA. INFOR 1998;36(3):177–88.
[871] Cook WD, Kazakov A, Roll Y. On the measurement of the relative efficiency of a set of decision-making units. In: Kweiermair M,
editor. Studies in economic rationality: x-efficiency examined and extolledes says written in the tradition, 1990. p. 351–68.
[872] Cook WD, Kazakov A, Roll Y. On the measurement and monitoring of relative efficiency of highway maintenance patrol. In:
Charnes A, Cooper WW, Lewin AY, Seiford LM, editors. Data Envelopment Analysis: theory, methodology, and applications.
Dordrecht, The Netherlands: Kluwer; 1995.
[873] Cook WD, Kazakov A, Roll Y. Measuring efficiency of highway maintenance patrols. In: Modeling performance measurement,
1994.
[874] Cook WD, Chai D, Doyle J, Green R. Hierarchies and groups in DEA. Journal of Productivity Analysis 1998;10(2):177–98.
[875] Cook WD, Johnston DA, McCutcheon D. Implementation of robotics: identifying efficient implementators. Omega 1992;2:227–39.
[876] Cook WD, Doyle J, Green R, Kress M. Ranking players in multiple tournaments. Computer and Operations Research
1996;23(9):869–80.
[877] Cook WD, Alex K, Yaakov R, Lawrence MS. A data envelopment approach to measuring efficiency: case analysis of highway
maintenance patrols. Socio-Economic Planning Sciences 1991;20(1):83–103.
[878] Cook WD, Seiford LM, Zhu J. Models for performance benchmarking: measuring the effect of e-business activities on banking
performance. Omega 2004;32(4):313–22.
[879] Cook WD, Hababou M, Tuenter HJH. Multicomponent efficiency measurement and shared inputs in Data Envelopment Analysis:
an application to sales and service performance in bank branches. Journal of Productivity Analysis 2000;14(3):209–24.
[880] Cook WD, Hababou M, Liang L. Financial linearization and efficiency in Tunisian banking industry: DEA test. International
Journal of Information Technology and Decision 2005;4(3):455–75.
[881] Cook WD, Kress M, Seiford LM. Prioritization models for frontier decision making units in DEA. European Journal of
[882] Cook WD, Kress M, Seiford LM. On the use of ordinal data in Data Envelopment Analysis. Journal of the Operational Research
Society 1993;44(2):133–40.
28
[883] Cook WD, Kress M, Sheiford LM. Data Envelopment Analysis in the presence of both quantitative and qualitative factors.
[884] Cook WD, Green RH, Zhu J. Dual-role factors in Data Envelopment Analysis. IIE Transactions 2006;38(2):105–15.
[885] Cook WD, Roll Y, Kazakov A. A DEA model for measuring the relative efficiency of highway maintenance patrols. INFOR
1990;2:113–24.
[886] Cooper WW. Operational research/management science: where it’s been. Where it should be going? Journal of the Operational
[887] Cooper WW, Tone K. Measures of inefficiency in data enveloping analysis and stochastic frontier estimation. European Journal of
[888] Cooper WW, Tone K. Measures of inefficiency in Data Envelopment Analysis and stochastic frontier estimation. European
[889] Cooper WW, Gallegos A, Granof MH. A Delphi study of goals and evaluation criteria of state and privately owned LatinAmerican airlines. Socio-Economic Planning Sciences 1995;2:273–85.
[890] Cooper WW, Gu B, Li S. Comparisons and evaluations of alternative approaches to the treatment of congestion in DEA.
[891] Cooper WW, Gu B, Li S. Note: alternative treatments of congestion in DEA—a response to the Cherchye, Kuosmanen and post
critique. European Journal of Operational Research 2001;132(1):81–7.
[892] Cooper WW, Park DKS, Ciurana P. Marginal rates and elasticities of substitution with additive models in DEA. Journal of
[893] Cooper WW, Bisheng G, Shanling L. Note: alternative treatments of congestion in DEA: a response to the Cherchye, Kuosmanen
and post critique. European Journal of Operational Research 2001;132(1):81–7.
[894] Cooper WW, Deng H, Huang Z, Li SX. Chance constrained programming approaches to technical efficiencies and inefficiencies in
stochastic Data Envelopment Analysis. Journal of the Operational Research Society 2002;53(12):1347–56.
[895] Cooper WW, Deng H, Huang Z, Li SX. Chance constrained programming approaches to congestion in stochastic Data
Envelopment Analysis. European Journal of Operational Research 2004;155(2):487–501.
[896] Cooper WW, Deng H, Huang ZM, Li SX. A one-model approach to congestion in Data Envelopment Analysis. Socio-Economic
Planning Sciences 2002;36(4):231.
[897] Cooper WW, Tone K, Takamori H, Sueyoshi T. Data Envelopment Analysis: survey and interpretations—Part I. Operations
Research: Communications of Operations Research Society of Japan 1994;39(8):419–25.
[898] Cooper WW, Sinha KK, Sullivan RS. Accounting for complexity in costing high technology manufacturing. European Journal of
[899] Cooper WW, Sinha KK, Sullivan RS. Evaluating the information content of a measure of plant output: an application to hightechnology manufacturing. Annals of Operations Research 1996;68:329–60.
[900] Cooper WW, Park KS, Yu G. IDEA (imprecise Data Envelopment Analysis) with CMDS (column maximum decision making
units). Journal of the Operational Research Society 2001;52(2):176–81.
[901] Cooper WW, Park KS, Pastor JT. RAM: a range adjusted measure of inefficiency for use with additive models, and relations to
other models and measures in DEA. Journal of Productivity Analysis 1999;11(1):5–42.
[902] Cooper WW, Seifor LM, Tone K. A comprehensive text with models, applications, references and DEA-solver software. Boston,
USA: Kluwer; 1999.
[903] Cooper WW, Seiford LM, Zhu J. Handbook on Data Envelopment Analysis. Dordrecht, The Netherlands: Kluwer Academic;
2004.
[904] Cooper WW, Seiford LM, Tone K. Introduction to Data Envelopment Analysis and its uses: with DEA-solver software and
references. Berlin: Springer; 2005.
[905] Cooper WW, Seiford LM, Thanassoulis E, Zanakis SH. DEA and its uses in different countries. European Journal of Operational
Research 2004;154(2):337–44.
[906] Cooper WW, Kyung Sam P, Gang Y. IDEA and AR-IDEA: models for dealing with imprecise data in DEA. Management Science
1999;45(4):597–607.
[907] Cooper WW, Kyung Sam P, Gang Y. An illustrative application of IDEA (imprecise Data Envelopment Analysis) to a Korean
mobile telecommunication company. Operations Research 2001;49(6):807–20.
[908] Cooper WW, Thompson RG, Thrall RM. Extensions and new developments in Data Envelopment Analysis-preface. Annals of
[909] Cooper WW, Thompson RG, Thrall RM. Introduction: extensions and new developments in DEA. Annals of Operations Research
1996;66:3–45.
[910] Cooper WW, Kumbhakar S, Thrall RM, Yu XL. DEA and stochastic frontier analyses. Socio-Economic Planning Sciences
1978;29(2):85–112.
[911] Cooper WW, Li S, Seiford LM, Tone K, Thrall RM, Zhu J. Sensitivity and stability analysis in DEA: some recent developments.
[912] Cooper WW, Thore S, Gibson D, Phillips F. How IC2 institute research affects public policy and business practices, IC2
management and management science. Quorum Books; 1997.
[913] Cooper WW, Huang ZM, Li SX. Satisficing DEA models under chance constraints. Annals of Operations Research
1996;66:279–95.
29
[914] Cooper WW, Huang ZM, Lelas V, Li SX, Olesen OB. Chance constrained programming formulations for stochastic
characterizations of efficiency and dominance in DEA. Journal of Productivity Analysis 1998;9(1):53–79.
[915] Cornwell C. Estimating radial measures of productivity growth: frontier vs. non-frontier approaches. Journal of Productivity
Analysis 1998;10(1):35–46.
[916] Cornwell C, Sickles RC. Production frontiers with cross-sectional and time-series variation in efficiency levels. Journal of
[917] Cortes GL, Snowden PN. Mexican banking system—from privatization to intervention—an AED perspective, 1982–1996.
Trimestre Economico 1999;66(262):259–91.
[918] Costa A, Markellos RN. Evaluating public transport efficiency with neural network models. Transportation Research Part C:
Emerging Technologies 1997;5(5):301–12.
[919] Costantino AE, Dybala J, Janakiraman N, O’Toole Jr JP, Smith NF. Analyzing public procurement practices: a case study
(Colombia). In: Proceedings of the 2005 IEEE systems and information engineering design symposium. IEEE; 2005. p. 329–34.
[920] Costantino AE, Dybala J, Janakiraman N, Otoole Sr JP, Smith NF. Analyzing public procurement practices: a case study
(Columbia). In: Proceedings of 2005 IEEE systems and information engineering design symposium. IEEE; 2005. p. 328–34.
[921] Courcelle C, Kestemont MP, Tyteca D, Installe M. Assessing the economic and environmental performance of municipal solid
waste collection and sorting programmes. Waste Management and Research 1998;16(3):253–63.
[922] Cowie J. The technical efficiency of public and private ownership in the rail industry—the case of Swiss private railways. Journal of
Transport Economics and Policy 1999;33:241–51.
[923] Cowie J. Acquisition, efficiency and scale economies: an analysis of the British bus industry. Transportation Review
2002;22(2):147–57.
[924] Cowie J, Asenova D. Organization form, scale effects and efficiency in the British bus industry. Transportation 1999;26(3):231–48.
[925] Cowie J, Riddington G. Measuring the efficiency of European railways. Applied Economics 1996;28(8):1027–35.
[926] Craig A. Nonparametric measures of sensory efficiency for sustained monitoring tasks. Human Factors 1979;21(1):69–77.
[927] Crane K. Grading is performance. Computer World 1990;24(47).
[928] Creteur M, Pochet Y, Pouplier I, Closon MC. Organisational performance evaluation: application to Belgian hospitals.
International Journal of Healthcare Technology and Management 2002;4(1–2):148–79.
[929] Cricelli L, Gastald M, Leviald N. Efficiency measurement of factories via Data Envelopment Analysis. Systems Analysis Modelling
Simulation 2002;42(10):1521–36.
[930] Cristache SE. Estimation of company cost functions by DEA. Economic Computation and Economic Cybernetics Studies and
Research 2005;39(1–4):107–12.
[931] Criswell DR, Thompson RG. Data Envelopment Analysis of space and terrestrially-based large scale commercial power systems
for earth: a prototype analysis of their relative economic advantages. Solar Energy 1996;56(1):119–31.
[932] Cruise PL, Nyhan RC. First among (un)equals: assessing hospital performance using Data Envelopment Analysis. Journal of
Health and Human Services Administration 2000;22(3):354–73.
[933] Cubbin J, Tzanidakis G. Techniques for analysing company performance. Business Strategy Review 1998;9(4):37.
[934] Cuesta RA. A production model with firm-specific temporal variation in technical inefficiency: with application to Spanish dairy
farms. Journal of Productivity Analysis 2000;13(2):139–58.
[935] Cuesta RA, Zofio JL. Hyperbolic efficiency and parametric distance functions: with application to Spanish savings banks. Journal
[936] Cui N, Chen R, Li Y. Synthetical evaluation of business process performance. Journal Huazhong-Central China-University of
Science and Technology 1999;27(6):92–4.
[937] Cui YQ, Ma LJ, Xu YP. Forecasting GDP in China and efficient input interval. Lecture Notes in Computer Science
2006;4222:982–90.
[938] Cullinane K, Song DW. A stochastic frontier model of the productive efficiency of Korean container terminals. Applied Economics
2003;35(3):251–67.
[939] Cullinane K, Song DW, Wang T. The application of mathematical programming approaches to estimating container port
production efficiency. Journal of Productivity Analysis 2005;24(1):73–92.
[940] Cullinane K, Teng-Fei W, Dong-Wook S, Ping J. The technical efficiency of container ports: comparing Data Envelopment
Analysis and stochastic frontier analysis. Transportation Research Part A: Policy and Practice 2006;40(4):354–74.
[941] Cullinane KPB, Teng-Fei W. The efficiency of European container ports: a cross-sectional Data Envelopment Analysis.
Internationa Journal of Logistics: Research and Applications 2006;9(1):19–31.
[942] Cummins D, Nini G. Optimal capital utilization by financial firms: evidence from the property-liability insurance industry. Journal
of Financial Services Research 2002;2:15–53.
[943] Cummins JD, Zi HM. Comparison of frontier efficiency methods: an application to the US life insurance industry. Journal of
[944] Cummins JD, Rubio-Misas M. Deregulation, consolidation, and efficiency: evidence from the Spanish insurance industry. Journal
of Money, Credit and Banking 2006;38(2):323–55.
[945] Cummins JD, Weiss MA. The global market for reinsurance: consolidation, capacity, and efficiency. Brookings-Wharton Papers
on Financial Services 2000:159–209.
[946] Cummins JD, Weiss Mary A, Hongmin ZI. Economies of scope in financial Services: DEA bootstrap analysis of the US insurance
industry. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA 2004, Birmingham, UK, 2004.
30
[947] Cummins JD, Rubio-misas M, Zi H. The effect of organizational structure on efficiency: evidence from the Spanish insurance
industry. Journal of Banking and Finance 2004;28(12):3113–50.
[948] Cummins JD, Weiss MA, Hongmin Z. Organizational form and efficiency: the coexistence of stock and mutual property-liability
insurers. Management Science 1999;45(9):1254–69.
[949] Cummins JD, Tennyson S, Weiss MA. Consolidation and efficiency in the US life insurance industry. Journal of Banking and
Finance 1999;23(2–4):325–57.
[950] Da Conceicao M, De Sousa S, Stosic B. Technical efficiency of the Brazilian municipalities: correcting nonparametric frontier
measurements for outliers. Journal of Productivity Analysis 2005;24(2):157–81.
[951] Dacosta-Claro I, Lapierre SD. Benchmarking as a tool for the improvement of health services’ supply departments. Health Services
[952] Daft RL, Lewin AY. Can organisation studies begin to break out of the normal science straitjacket? Organisation Science 1990:1–9.
[953] Dalen DM. Strategic responses to frontier-based budget allocation: implications for bureaucratic slack. Journal of Productivity
Analysis 1996;7(1):29–40.
[954] Dalmau-Matarrodona E, Puig-Junoy J. Market structure and hospital efficiency: evaluating potential effects of deregulation in a
national health service. Review of Industrial Organization 1998;13(4):447–66.
[955] Damar HE. The effects of shared ATM networks on the efficiency of Turkish banks. Applied Economics 2006;38(6):683–97.
[956] Daneshian B, Jahanshahloo GR, Lotfi FH, Allahviranloo T, Mehrabian S. The overall assurance interval for the non-Archimedean
epsilon in DEA models. Mathematical and Computational Applications 2005;10(3):387–93.
[957] Daniels R, Demellow I. A comparative assessment of the productivity of Australia’s public rail systems 1971/72–1991/92. Journal
[958] Daniels RL. Analytical evaluation of multi-criteria heuristics. Management Science 1992;38(4):501–13.
[959] Danilin VI, Materov IS, Rosefielde S, Lovell CAK. Measuring enterprise efficiency in the Soviet Union: a stochastic frontier
analysis. Economica 1985;52(206):225–33.
[960] Daoues M, Gattoufi S, Rebai S. A window analysis of technical and scale efficiency of Tunisian commercial banks. In: Premières
Journées D’economie Monétaire Et Bancaire, 2003.
[961] Daouia A, Ruiz-Gazen A. Robust nonparametric frontier estimators: qualitative robustness and influence function. Statistica
Sinica 2006;16(4):1233–53.
[962] Daraio C, Simar L. Introducing external factors in nonparametric frontier models: a unifying approach. In: Emrouznejad A,
[963] Daraio C, Simar L. Introducing environmental variables in nonparametric frontier models: a probabilistic approach. Journal of
[964] Darold TB, John MG. Biases in technical efficiency scores caused by intra-input aggregation: mathematical analysis and a DEA
application using simulated data. Applied Economics 2006;38(14):1.
[965] Dasgupta S, Sarkis J, Talluri S. Influence of information technology investment on firm productivity: a cross-sectional study.
Logistics Information Management 1999;12(1–2):120–9.
[966] Dash Sudhi R, Bhal Kanika T, Yadav S. Green productivity and cooperate planning. In: Emrouznejad A, Podinovski V, editors.
Proceedings of DEA2004, Birmingham, UK, 2004. p. 193.
[967] Dauer JP, Saleh OA. Constructing the set of efficient objective values in multiple objective linear programs. European Journal of
[968] David AG, Vlad M. Determinants of commercial bank performance in transition: an application of Data Envelopment Analysis.
Comparative Economic Studies 2006;48(3):497.
[969] Davis DH. Data Envelopment Analysis, the NAG library and UNIX. NAG Newsletter 1988;1.
[970] Davutyan N, Kavut L. An application of Data Envelopment Analysis to the evaluation of audit risk: a reinterpretation. Abacus
2005;41(3):290–306.
[971] Day DL, Lewin AY, Li H. Strategic leaders or strategic groups: a longitudinal Data Envelopment Analysis of the US brewing
industry. European Journal of Operational Research 1995;80(3):619–38.
[972] Day DL, Lewin AY, Li HY. Strategic leaders or strategic groups—a longitudinal Data Envelopment Analysis of the United States
brewing industry. European Journal of Operational Research 1995;8:619–38.
[973] Day DL, Lewin AY, Salazar RJ, Li H. Strategic leaders in the us brewing industry: a longitudinal analysis of outliers. In: Charnes
A, Cooper WW, Lewin AY, Seiford LM, editors. Data Envelopment Analysis: theory, methodology, and applications. Dordrecht,
[974] DeAbreu UGP, Lopes PS, Baptista A, Torres RD, Santos HD. Evaluation of technology introduction in a beef cattle production
system in Pantanal wetlands. Analysis of efficiency. Revista Brasileira de Zootecnia Journal 2006;35(3):1242–50.
[975] DeBorger B, Kerstens K. Cost efficiency of Belgian local governments: a comparative analysis of FDH, DEA, and econometric
approaches. Regional Science and Urban Economics 1996;26(2):145–70.
[976] DeBorger B, Kerstens K. Radial and nonradial measures of technical efficiency: an empirical illustration for Belgian local
governments using an FDH reference technology. Journal of Productivity Analysis 1996;7(1):41–62.
[977] DeBorger B, Kerstens K. The Malmquist productivity index and plant capacity utilization. Scandinavian Journal of Economics
2000;102(2):303–10.
[978] Deborger B, Kerstens R, Moesen W, Vanneste J. Explaining differences in productive efficiency—an application Tobelgian
municipalities. Public Choice 1994;8:339–58.
31
[979] DeCanio SJ. Economic modeling and the false tradeoff between environmental protection and economic growth. Contemporary
Economic Policy 1997;15(4):10–27.
[980] Degraeve Z, Labro E, Roodhooft F. Total cost of ownership purchasing of a service: the case of airline selection at Alcatel bell.
[981] Deily ME, McKay NL, Dorner FH. Exit and inefficiency: the effects of ownership type. Journal of Human Resources
2000;35(4):734–47.
[982] Dekker D, Post T. A quasi-concave DEA model with an application for bank branch performance evaluation. European Journal of
[983] DeKoeijer TJ, Wossink GA, Struik PC, Renkema JA. Measuring agricultural sustainability in terms of efficiency: the case of Dutch
sugar beet growers. Journal of Environmental Management 2002;66(1):9–17.
[984] DeKoeijer TJ, Wossinik GAA, Smit AB, Janssens SRM, Renkema JA, Struik PC. Assessment of the quality of farmers’
environmental management and its effects on resource use efficiency: a Dutch case study. Agricultural Systems 2003;78(1):85–103.
[985] DeLancer Julnes P. Decisions-making tools for public productivity improvement: a comparison of DEA to cost-benefit and
regression analysis. Journal of Public Budgeting, Accounting and Financial Management 2000;12(4):625.
[986] Deligonul SZ. Efficiency of complex systems through benchmark comparison. In: Proceedings—annual meeting of the Decision
Sciences Institute, vol. 3. Atlanta, GA, USA: Decis Sci. Inst.; 1996. p. 1775–7.
[987] Deller SC, Nelson CH. Nonparametric efficiency measurement-using complementary information from radial and nonradial
measures. American Journal of Agricultural Economics 1990;7:1345.
[988] Delmas M, Tokat Y. Deregulation, governance structures, and efficiency: the US electric utility sector. Strategic Management
Journal 2005;26(5):441–60.
[989] DeLorme JCD, Warren JRS, Thompson JHJ. Money and production: a stochastic frontier approach. Journal of Productivity
Analysis 1995;6(4):333–42.
[990] DeMateo F, Coelli T, O’Donnell C. Optimal paths and costs of adjustment in dynamic DEA models: with application to Chilean
department stores. Annals of Operations Research 2006;145:211–27.
[991] Deng H, Yeh CH, Willis RJ. Inter-company comparison using modified topsis with objective weights. Computer and Operations
Research 2000;27(10):963–73.
[992] Deng S, Lai C-C, Lin K-Y. Evaluation of weapon system evaluation using Data Envelopment Analysis with principal component
analysis—an application to low range air defenses missiles. Journal of Chung Cheng Institute of Technology 2005;34(1):181–98.
[993] DePree Jr CM, Jude RK. A tool to help insurance company management assess attorney efficiency and productivity. Chartered
Property Casualty Underwrit Journal 1995;48(3):155.
[994] Deprins D, Tulkens H. Measuring labour efficiency in post offices. In: Marchand M, Tulkens H, editors. The performance of public
enterprises: concepts and measurement. Amsterdam: North-Holland; 1984. p. 243–67.
[995] Derpanis DV, Foundas E. Decision’s problem with the help of imprecise Data Envelopment Analysis (IDEA). WSEAS
Transactions on Systems 2005;4(6):745–50.
[996] Derpanis DV, Foundas E. The problem of intervals in imprecise Data Envelopment Analysis (IDEA). WSEAS Transactions on
Information Science and Applications 2005;2(10):1673–8.
[997] Dervaux B, Leleu H, Nogues H, Valdmanis V. Assessing French nursing home efficiency: an indirect approach via budgetconstrained DEA models. Socio-Economic Planning Sciences 2006;40(1):70–91.
[998] Dervaux B, Leleu H, Valdmanis V, Walker D. Parameters of control when facing stochastic demand: a DEA approach applied to
Bangladeshi vaccination sites. International Journal of Health Care Finance and Economics 2003;3(4):287–99.
[999] Dervaux B, Kerstens K, Vanden Eeckaut P. Radial and nonradial static efficiency decompositions: a focus on congestion
measurement. Transportation Research Part B: Methodological 1998;32b(5):299–312.
[1000] Dervaux B, Eeckhoudt L, Lebrun T, Sailly JC. A cost-effectiveness analysis using Data Envelopment Analysis—an application to
colorectal-cancer screening. Medical Decision Making 1991;1:68.
[1001] Dervaux B, Eeckhoudt L, Lebrun T, Sailly JC. Determination of cost-effective strategies in colorectal cancer screening. Revue
d’epidemiologie et de Sante Publique 1992;40(5):296–306.
[1002] Desai A. Data Envelopment Analysis: a clarification. Evaluation and Research in Education 1992;6(1):39–41.
[1003] Desai A, Schinnar AP. Technical issues in measuring scholastic improvement due to compensatory education programs. SocioEconomic Planning Sciences 1990;2:143–53.
[1004] Desai A, Storbeck JE. Data Envelopment Analysis for spatial efficiency. Computers, Environment and Urban Systems
1990;14(2):145–56.
[1005] Desai A, Storbeck JE. Efficiency evaluation of retail outlet networks. Environment and Planning B: Planning and Design
1994;21(4):477–88.
[1006] Desai A, Henderson JS. Natural gas prices and contractual terms. Energy Systems and Policy 1988;12 (4):255–71.
[1007] Desai A, Walters LC. Graphical presentations of data envelopment analyses: management implications from parallel axes
representations. Decision Sciences 1991;22(2):335–53.
[1008] Desai A, You MB. Incentive regulation and the measurement of performance. In: Proceedings of the sixth NARUC biennial
regulatory information conference, 1988. p. 155–81.
[1009] Desai A, Storbeck JE, Haynes KE, Shroff HF, Xiao YAN. Extending multiple objective programming for siting decision
sensitivity. Modelling and simulation. Modelling and Simulation 1990;2:153–8.
32
[1010] Desai A, Storbeck JE, Haynes KE, Shroff HFE, Xiao Y. Extending multiple objective programming for siting decision sensitivity.
In: Proceedings of the annual Pittsburgh conference modelling and simulation, vol. 21. Society for Computer Simulation
International; 1990. p. 153–8.
[1011] Desai A, Haynes KE, Storbeck JE. A spatial efficiency framework for the support of locational decision. In: Charnes A, Cooper
WW, Lewin AY, Seiford LM, editors. Data Envelopment Analysis: theory, methodology, and applications. Dordrecht, The
Netherlands: Kluwer; 1994. p. 235–51.
[1012] Desai A, Ratick SJ, Schinnar AP. Data Envelopment Analysis with stochastic variations in data. Socio-Economic Planning
Sciences 2005;39(2):147–64.
[1013] Desai A, Gulledge TR, Haynes KE, Shroff HF, Storbeck JE. A DEA approach to siting decision sensitivity. Regional Science
Review 1991;1:71–80.
[1014] Desharnais S, Hogan AJM. Changes in rates of unscheduled hospital readmission’s and changes in efficiency following the
introduction of the medicare. Evaluation of Health Professions 1991;1:228–52.
[1015] Desheng W. Detecting information technology impact on firm performance using DEA and decision tree. International Journal of
Information Technology and Management 2006;5(2–3):162–74.
[1016] Desheng W, Zijiang Y, Liang L. Using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank.
Expert Systems with Applications 2006;31(1):108–15.
[1017] Desheng W, Zijiang Y, Sandra V, Liang L. Simultaneous analysis of production and investment performance of Canadian life and
health insurance companies using Data Envelopment Analysis. Computer and Operations Research 2007;34(1):180.
[1018] Despotis DK. Improving the discriminating power of DEA: focus on globally efficient units. Journal of the Operational Research
Society 2002;53(3):314–23.
[1019] Despotis DK. A reassessment of the human development index via Data Envelopment Analysis. Journal of the Operational
[1020] Despotis DK. Measuring human development via Data Envelopment Analysis: the case of Asia and the Pacific. Omega
2005;33(5):385–90.
[1021] Despotis DK, Smirlis YG. Data Envelopment Analysis with imprecise data. European Journal of Operational Research
2002;140(1):24–36.
[1022] Destefanis S, Storti G. Measuring cross-country technological catch-up through variable-parameter FDH. Statistical Methods and
Applications 2002;11(1):109.
[1023] Destefanis S, Sena V. Public capital and total factor productivity: new evidence from the Italian regions, 1970–98. Regional Studies
2005;39(5):603–17.
[1024] Devinney TM, Midgley DF, Venaik S. The optimal performance of the global firm: formalizing and extending the integrationresponsiveness framework. Organization Science 2000;11(6):674–95.
[1025] Dexter F, O’Neill L. Data Envelopment Analysis to determine by how much hospitals can increase elective inpatient surgical
workload for each specialty. Anesthesia and Analgesia 2004;99(5):1492–500.
[1026] Dey D, Seidmann A. Benchmarking decision models for database management systems. Information Systems Research
1994;5:275–93.
[1027] DeYoung R. A diagnostic test for the distribution-free efficiency estimator: an example using US Commercial Bank Data.
[1028] Deyoung R, Nolle DE. Foreign-owned banks in the US: earning market share or buying it?’’. Journal of Money, Credit and
Banking 1996;28(4):622–36.
[1029] Dharmapala PS, Zaibet L. Analysis of farmers’ efficiency and growth factors in oil exporting Arabian Gulf Countries: the case of
Oman. International Journal of Management and Decision Making 2006;7(4):2.
[1030] Dhawan R, Gerdes G. Estimating technological change using a stochastic frontier production function framework: evidence from
US firm-level data. Journal of Productivity Analysis 1997;8(4):431–46.
[1031] Dhungana BR, Nuthall PL, Nartea GV. Measuring the economic inefficiency of Nepalese rice farms using Data Envelopment
Analysis. Australian Journal of Agricultural Economics 2004;48(2):347–69.
[1032] Dia M. A model of fuzzy Data Envelopment Analysis. INFOR 2004;42(4):267–79.
[1033] Diamond AM. The complementarity of scientometrics and economics. Asist Monograph Series 2000:321–36.
[1034] Diamond JAM, Medewitz JN. Use of Data Envelopment Analysis in an evaluation of the efficiency of the deep program for
economic education. Journal of Economic Education 1990;21(3):337–54.
[1035] Diaz JAR, Poyato EC, Luque RL. Applying benchmarking and Data Envelopment Analysis (DEA) techniques to irrigation
districts in Spain. Journal of Irrigation and Drainage Engineering 2004;53(2):135–43.
[1036] Diaz-Balteiro L, Casimiro Herruzo A, Martinez M, Gonzalez-Pachon J. An analysis of productive efficiency and innovation
activity using DEA: an application to Spain’s wood-based industry. Forest Policy and Economics 2006;8(7):762–73.
[1037] Diewart WE, Nakamura AO. Benchmarking and the measurement of best practice efficiency: an electricity generation application.
Canadian Journal of Economics-Revue 1999;32(2):570–88.
[1038] Diez-ticio A, Mancebon MJ. The efficiency of the Spanish Police Service: an application of the multiactivity DEA model. Applied
Economics 2000;34(3):351–62.
[1039] Diggle PJ, Mateu J, Clough HE. Comparison between parametric and non-parametric approaches to the analysis of replicated
spatial point patterns. Advances in Applied Probability 2000;32(2):331–43.
[1040] Dimara E, Pantzios CJ, Skuras D, Tsekouras K. The impacts of regulated notions of quality on farm efficiency: a DEA application.
33
[1041] Dimelis SP, Dimopoulou M. Evaluating productivity growth measures in the Eu. Economic Planning 2002;35(2):161–81.
[1042] Dinc M, Haynes KE. Regional efficiency in the manufacturing sector: integrated shift-share and Data Envelopment Analysis.
Economic Development Quarterly 1999;13(2):183–99.
[1043] Dinc M, Haynes KE. Sources of regional inefficiency: an integrated shift-share, Data Envelopment Analysis and input–output
approach. Annals of Regional Science 1999;33(4):469.
[1044] Dinc M, Haynes KE, Tarimcilar M. Integrating models for regional development decisions: a policy perspective. Annals of
Regional Science 2003;37(1):31–53.
[1045] Dinc M, Haynes KE, Stough RR, Yilmaz S. Regional universal telecommunication service provisions in the US: efficiency versus
penetration. Telecommunications Policy 1998;22(6):541–53.
[1046] Ding L, Yang Q, Sun L, Tong J, Wang Y. Evaluation of the capability of personal software process based on Data Envelopment
Analysis. In: Lecture note, vol. 38. Heidelberg, Germany: Springer; 2006. p. 235–48.
[1047] Dismuke CE, Sena V. Has DRG payment influenced the technical efficiency and productivity of diagnostic technologies in
Portuguese public hospitals? An empirical analysis using parametric and non-parametric methods. Health Care Management
Science 1999;2(2):107–16.
[1048] Dismuke CE, Sena V. Is there a trade-off between quality and productivity? The case of diagnostic technologies in Portugal. Annals
[1049] Distexhe V, Perelman S. Technical efficiency and productivity growth in an era of deregulation: the case of airlines. Swiss Journal
of Economics and Statistics 1994;130(4):669–89.
[1050] Dittman DA. Evaluating a hotel G.M.’s performance. Cornell Hotel and Restaurant Administration Quarterly 1995;36(5):30–5.
[1051] Dittman DA. An aid in selecting the brand, size and other strategic choices for a hotel. Journal of Hospitality and Tourism
Research 1997;21(1):71–99.
[1052] Dittman DA, Capettini R, Morey RC. Measuring efficiency in acute care hospitals: an application of Data Envelopment Analysis.
Journal of Health and Human Resources Administration 1991;14(1):89–108.
[1053] Djerdjouri M. Assessing and benchmarking maintenance performance in a manufacturing facility: a Data Envelopment Analysis
approach. INFOR 2005;43(2):121–33.
[1054] Dlouhy M. A mathematical model of sector/firm restructuralization. Politicka Ekonomie 2001;49(4):540–6.
[1055] Dmitry P, Balash V. An efficiency analysis of Russian banks. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004,
[1056] Doble M. Measuring and improving technical efficiency in UK post office counters using Data Envelopment Analysis. Annals of
Public and Cooperative Economics 1995;66(1):31.
[1057] Dogramaci A. Measurement issues and behavior of productivity variables. Boston, USA: Kluwer; 1985.
[1058] Dogramaci A, Adam NR. Managerial issues in productivity analysis. Boston, USA: Kluwer; 1985.
[1059] Dogramaci A, Färe R. Applications of modern production theory: efficiency and productivity. Boston: Kluwer Academic
Publishers; 1988.
[1060] Dogramaci A, Färe R. Applications of modern production theory: efficiency and productivity. Boston: Kluwer Academic
Publishers; 1988.
[1061] Dolan A, Ayland C. Analysis on trial. International Journal of Market Research 2001;43(4):377.
[1062] Domberger S, Meadowcroft S. Competitive endering and refuse collection: identifying the sources of efficiency gains. Fiscal Studies
1988;8(3):49–58.
[1063] Donthu N, Yoo B. Retail productivity assessment using Data Envelopment Analysis. Journal of Retailing 1998;74(1):89–105.
[1064] Donthu N, Hershberger EK, Osmonbekov T. Benchmarking marketing productivity using Data Envelopment Analysis. Journal of
Business Research 2005;58(11):1474–82.
[1065] Dopuch N, Gupta M, Simunic DA, Stein MT. Production efficiency and the pricing of audit services. Contemporary Accounting
Research 2003;20(1):47–77.
[1066] Dor A. Non-minimum cost functions and the stochastic frontier: on applications to health care providers. Journal of Health
Economics 1994;13(3):329–34.
[1067] Dorfman JH, Koop G. Current developments in productivity and efficiency measurement. Journal of Econometrics
2005;126(2):233–40.
[1068] Doukas J, Switzer L. Economies of scale and scope in Canadian branch banking. Journal of International Financial Markets
Institutions and Money 1991;1.
[1069] Doyle JR. Multiattribute choice for the lazy decision maker: let the alternatives decide!. Organizational Behavior and Human
Decision Processes 1995;62(1):87–100.
[1070] Doyle JR, Arthurs AJ. Judging the quality of research in business schools: the UK as a case study. Omega 1995;23(3):257–70.
[1071] Doyle JR, Kress M. Multiple criteria modeling and ordinal data: evaluation in terms of subsets of criteria. European Journal of
[1072] Doyle JR, Green R. Data Envelopment Analysis and multiple criteria decision making. Omega 1993;21(6):713–5.
[1073] Doyle JR, Green R. Efficiency and cross-efficiency in DEA: derivations, meanings and uses. Journal of the Operational Research
Society 1994;45(5):567–78.
[1074] Doyle JR, Green R. Strategic choice and Data Envelopment Analysis: comparing computers across many attributes. Journal of
Information Technology 1994;9(1):61–9.
[1075] Doyle JR, Green RH. Comparing products using Data Envelopment Analysis. Omega 1991;1:631–8.
[1076] Doyle JR, Green RH. Self and peer appraisal in higher-education. Higher Education 1994;28(2):241–64.
34
[1077] Doyle JR, Green RH. Cross-evaluation in DEA: improving discrimination among DMUs. INFOR 1995;33(3):205–22.
[1078] Doyle JR, Green RH. Improving discernment in DEA using profiling: a comment. Omega 1996;24(3):365–6.
[1079] Doyle JR, Arthurs AJ, Green RH, McAulay L, Pitt MR, Bottomley PA. The judge, the model of the judge, and the model of the
judged as judge—analyses of the UK. Omega 1992;2:13–28.
[1080] Doyle JR, Green RH, Cook WD. Upper and lower bound evaluation of multiattribute objects: comparison models using linear
programming. Organizational Behavior and Human Decision Processes 1995;64(3):261–73.
[1081] Drake L, Howcroft B. Relative efficiency in the branch network of a UK Bank: an empirical study. Omega 1994;22(1):83–90.
[1082] Drake L, Howcroft B. The use of Data Envelopment Analysis to monitor hotel productivity. Progress in Tourism and Hospitality
Research 1997;3(2):119–27.
[1083] Drake L, Hall MJB. Efficiency in Japanese banking: an empirical analysis. Journal of Banking and Finance 2003;27(5):891.
[1084] Drake L, Simper R. Productivity estimation and the size-efficiency relationship in English and Welsh police forces. International
Review of Law and Economics 2000;20(1):53.
[1085] Drake L, Simper R. X-efficiency and scale economies in policing: a comparative study using the distribution free approach and
DEA. Applied Economics 2002;34(15):1859–70.
[1086] Drake L, Simper R. The measurement of English and Welsh police force efficiency: a comparison of distance function models.
[1087] Drake L, Hall MJB, Simper R. The impact of macroeconomic and regulatory factors on bank efficiency: a non-parametric analysis
of Hong Kong’s banking system. Journal of Banking and Finance 2006;30(5):1443–66.
[1088] Drake LM, Simper R. Police efficiency in offences cleared: an analysis of English ‘Basic Command Units’. International Review of
Law and Economics 2005;25(2):186–208.
[1089] Drake LM, Simper R. The measurement of police force efficiency: an assessment of UK home office policy. Contemporary
Economic Policy 2005;23(4):465–82.
[1090] Draper DA, Solti I, Ozcan YA. Characteristics of health maintenance organizations and their influence on efficiency. Health
Services Management Research 2000;13(1):40–56.
[1091] Drinkwater S, Harris R. Frontier 4.1: a computer program for stochastic frontier production and cost function estimation.
Economic Journal 1999;109(456):453–8.
[1092] Du HB, Gu PL, Hao H. Decision of returns to scale of DMU on the basis of CCR model. Journal of Harbin Institute of
Technology 2005;37(3):329–31.
[1093] Duan Y, Tian P, Zhang W. DTZ model with independent subsystems. Journal of Applied Mathematics and Computation
2004;14(1–2):173–83.
[1094] Duan YR, Tian P, Zhang WP. Model and its application in evaluating manufacturing development. Jornal of Shanghai Jiaotong
University 2005;39(3):429–32.
[1095] Duan YR, Tian P, Zhang WP. Relative efficiency analysis of complex system based on Data Envelopment Analysis. Journal of
Shanghai Jiaotong University 2005;39(3):433–6.
[1096] Dufour C, Lanoie P, Patry M. Regulation and productivity. Journal of Productivity Analysis 1998;9(3):233–47.
[1097] Dula JH. Geometry of optimal value functions with applications to redundancy in linear programming. Journal of Optimization
Theory and Applications 1994;81(1):35–52.
[1098] Dula JH. Equivalences between Data Envelopment Analysis and the theory of redundancy in linear systems. European Journal of
[1099] Dula JH, Hickman BL. Effects of excluding the column being scored from DEA envelopment LP technology matrix. Journal of the
[1100] Dula JH, Hickman BL. Effects of excluding the column being scored from the DEA envelopment LP technology matrix. Journal of
[1101] Dula JH, Venugopal N. On characterizing the production possibility set for the CCR ratio model in DEA. International Journal of
Systems Science 1995;26(12):2319–25.
[1102] Dula JH, Thrall RM. A computational framework for accelerating DEA. Journal of Productivity Analysis 2001;16(1):63–78.
[1103] Dula JH, Helgason RV. A new procedure for identifying the frame of the convex hull of a finite collection of points in
multidimensional space. European Journal of Operational Research 1996;92(2):352–67.
[1104] Dumas EB, Sengupta JK. Non-parametric tests of portfolio efficiency under static and dynamic conditions. International Journal
of Systems Science 1991;22(10):1929–39.
[1105] Duncombe W. Costs and factor substitution in the provision of local fire services. Review of Economics and Statistics 1992:180–4.
[1106] Dupont DP, Grafton RQ, Kirkley J, Squires D. Capacity utilization measures and excess capacity in multi-product privatized
fisheries. Resource and Energy Economics 2002;24(3):193–210.
[1107] Durand R, Vargas V. Ownership, organization, and private firms’ efficient use of resources. Strategic Management Journal
2003;24(7):667–75.
[1108] Dusansky R, Wilson PW. Technical efficiency in the decentralized care of the developmentally disabled. Review of Economics and
Statistics 1994;76(2):340–5.
[1109] Dusansky R, Wilson PW. On the relative efficiency of alternative modes of producing a public sector output: the case of the
developmentally disabled. European Journal of Operational Research 1995;80(3):608–18.
[1110] Dyckhoff H, Allen K. Measuring ecological efficiency with Data Envelopment Analysis, (DEA). European Journal of Operational
Research 2001;132(2):312–25.
[1111] Dyson RG. Performance measurement and Data Envelopment Analysis—rankings are rank!. OR Insight 2000;13(4).
35
[1112] Dyson RG. Strategy, performance and operational research. Journal of the Operational Research Society 2000;51(1):5–11.
[1113] Dyson RG, Thanassoulis E. Reducing weight flexibility in Data Envelopment Analysis. Journal of the Operational Research
Society 1988;39(6):563–76.
[1114] Dyson RG, Thanassoulis E, Boussofiane A. Data Envelopment Analysis. In: Hendry LC, Eglese R, editors. Operational research
tutorial papers. UK: The Operational Research Society; 1990. p. 13–28.
[1115] Dyson RG, Allen R, Camanho AS, Podinovski VV, Sarrico CS, Shale EA. Pitfalls and protocols in DEA. European Journal of
[1116] Dyson RG, Podinovski VV, Shale EA. Data Envelopment Analysis at the European Summer Institute—16–26 August 1998.
European Journal of Operational Research 2001:243–4.
[1117] Eakin BK. Do physicians minimize cost? In: Fried HO, Schmidt SS, editors. The measurement of productive efficiency: techniques
and applications, Oxford, UK, 1993. p. 221–36.
[1118] Easton L, Murphy DJ, Pearson JN. Purchasing performance evaluation: with Data Envelopment Analysis. European Journal of
Purchasing and Supply Management 2002;8(3):123.
[1119] Ebrahimipour V, Suzuki K. An integrated model-based approach for evaluating and improving safety instruments in continuous
process from the viewpoints of maintainability, reliability and availability—case study: offshore industry. Journal of Chemical
Engineering of Japan 2005;38(6):436–45.
[1120] Ebrahimipour V, Suzuki K. A synergetic approach for assessing and improving equipment performance in offshore industry based
on dependability. Reliability Engineering and System Safety 2006;91(1):3485–94.
[1121] Editor-Note. Performance indicators for prisons. Public Money 1987;7(3):57–9.
[1122] Editor-Note. Conference on new uses of DEA in management. European Journal of Operational Research 1989;38(3):382–3.
[1123] Editor-Note. Public sector efficiency measurement applications Data Envelopment Analysis (Book). European Journal of
Operational Research 1993;69(1):141.
[1124] Editor-Note. Data Envelopment Analysis: theory, methodology, and application—book review. Journal of Economic Literature
1996;34(2):839.
[1125] Editor-Note. Annotated listing of new books. Journal of Economic Literature 1998;36(3):1551.
[1126] Editor-Note. Health care management conference paper abstracts. Academy of Management Proceedings 2004;1–21.
[1127] Editor-Note. Preface: an overview of the April 1, 2004 Issue of the ‘‘Journal of Travel & Tourism Marketing’’. Journal of Travel
and Tourism Marketing 2004;16(2/3):1.
[1128] Edvardsen DF, Forsund FR. International benchmarking of electricity distribution utilities. Resource and Energy Economics
2003;25(4):353.
[1129] Ehreth JL. The development and evaluation of hospital performance-measures for policy analysis. Medical Care 1994;3:568–87.
[1130] Eichhorn W. Measurement in economics. Heidelberg: Physics-Verlag; 1988.
[1131] Eilat H, Golany B, Shtub A. Constructing and evaluating balanced portfolios of R and D projects with interactions: a DEA based
methodology. European Journal of Operational Research 2006;172(3):1018–39.
[1132] Elam J, Thomas JB. Evaluating productivity of information systems organisations in state government. Public Productivity Review
1989;1:263–77.
[1133] Ellis PM. Use of a decision method for tracking organizational or industrial performance over time. In: Proceedings-annual
meeting of the Decision Sciences Institute, Decision Sciences Institute, 2003. p. 1753–58.
[1134] El-Mahgary S. Data Envelopment Analysis: a basic glossary. OR Insight 1995;8(4):15–22.
[1135] El-Mahgary S, Lahdelma R. Data Envelopment Analysis: visualizing the results. European Journal of Operational Research
1995;83(3):700–10.
[1136] Elyasiani E, Mehdian S. Efficiency in the commercial banking industry: a production frontier aproach. Applied Economics
1990;22:539–51.
[1137] Elyasiani E, Mehdian S. Productive efficiency performance of minority and nonminority-owned banks—a nonparametric
approach. Journal of Banking and Finance 1992;1:933–48.
[1138] Elyasiani E, Mehdian S. Measuring technical and scale inefficiencies in the beer industry: nonparametric and parametric evidence.
Quarterly Review of Economics and Finance 1993;3:383–408.
[1139] Elyasiani E, Mehdian S. The comparative efficiency performance of small and large US commercial-banks in the prederegulation
and postderegulation eras. Applied Economics 1995;27(11):1069–79.
[1140] Elyasiani E, Mehdian SM. A nonparametric approach to measurement of efficiency and technological change—the case of large
United States commercial banks. Journal of Financial Services Research 1990:157–68.
[1141] Embrechts P. Data Envelopment Analysis: theory and techniques for economics and operations research. Journal of American
Statistical Association 2005;100(471):1100.
[1142] Emel AB, Oral M, Reisman A, Yolalan R. A credit scoring approach for the commercial banking sector. Socio-Economic Planning
Sciences 2003;37(2):103.
[1143] Emrouznejad A. An extension to SAS/OR for decision system support. Proceeding of SAS Users Group International. In:
Proceedings of 25th SAS international conference, SAS Institue, 2000. p. 259.
[1144] Emrouznejad A. A SAS application for measuring efficiency and productivity of decision making units. In: Proceedings of 27th
SAS international conference. SAS Institue; 2002. p. 27.
[1145] Emrouznejad A. The assessment of higher education institutions using dynamic DEA: a case study in UK universities. In:
Proceeding of the International Symposium of DEA; 2002. p. 118–28.
[1146] Emrouznejad A. An alternative DEA measure: a case of OECD countries. Applied Economics Letters 2003;10(12):779–82.
36
[1147] Emrouznejad A. A multi-period optimization model for comparison of decision making units. In: Proceedings of the first
international conference on modelling, simulation and applied optimization, 2005. p. 100–6.
[1148] Emrouznejad A. Measurement efficiency and productivity in SAS/OR. Journal of Computers and Operation Research
2005;32(7):1665–83.
[1149] Emrouznejad A. Back-propagation DEA. In: Proceedings of the 2006 international conference on data mining. World Congress in
Computer Sciences, 2006.
[1150] Emrouznejad A, Thanassoulis E. A mathematical model for dynamic efficiency using Data Envelopment Analysis. Applied
[1151] Emrouznejad A, Thanassoulis E. Performance improvement management. DEASoft, Pim Ltd.; 2005.
[1152] Emrouznejad A, Podinovski V. Data Envelopment Analysis and performance management. 1st ed. Birmingham, UK: Aston
University; 2004. 420pp.
[1153] Emrouznejad A, Green R, Krivonozhko V. Efficiency and productivity analysis in the 21st century. International Research in
Management Science; 2002.
[1154] Engert FS. The reporting of school district efficiency: the adequacy of ratio measures. Public Budgeting and Financial Management
1996;8(2):247–71.
[1155] English M, Grosskopf S, Hayes K, Yaisawarng S. Output allocative and technical efficiency of banks. Journal of Banking and
Finance 1993;1:349–66.
[1156] Entani T, Tanaka H. Improvement of efficiency intervals based on DEA by adjusting inputs and outputs. European Journal of
[1157] Entani T, Ichihashi H, Tanaka H. Estimation in DEA by possibility regression with the upper and lower approximations. In:
Proceedings of the joint ninth IFSA world congress and 20th Nafips international conference, vol. 5. New York: IEEE; 2001. p.
2718–23.
[1158] Entani T, Ichihashi H, Tanaka H. Evaluation method based on interval AHP and DEA. Central European Journal of Operational
Research 2004;12(1):25–34.
[1159] Entani T, Maeda Y, Tanaka H. Dual models of interval DEA and its extension to interval data. European Journal of Operational
Research 2002;136(1):32–45.
[1160] Epstein MK, Henderson JC. Data Envelopment Analysis for managerial control and diagnosis. Decision Sciences
1989;20(1):90–119.
[1161] Ersoy K, Kavuncubasi S, Ozcan YA, Harris 2nd JM. Technical efficiencies of Turkish hospitals: DEA approach. Journal of
Medical Systems 1997;21(2):67–74.
[1162] Ertay T, Ruan D. Data Envelopment Analysis based decision model for optimal operator allocation in CMS. European Journal of
[1163] Ertay T, Da R, Tuzkaya UR. Integrating Data Envelopment Analysis and analytic hierarchy for the facility layout design in
manufacturing systems. Information Sciences 2006;176(3):237–62.
[1164] Ertuayrul D, Mehmet B. A comparative analysis of productivity growth, catch-up, and convergence in transition economies.
Emerging Markets Finance and Trade 2005;41(1):6–28.
[1165] Esmaeili A. Technical efficiency analysis for the Iranian fishery in the Persian Gulf. ICES Journal of Marine Science
2006;63(9):1759–64.
[1166] Estache A, Rossi MA, Ruzzier CA. The case for international coordination of electricity regulation: evidence from the
measurement of efficiency in South America. Journal of Regulatory Economics 2004;25(3):271–95.
[1167] Evanoff DD, Israilevich PR. Productive efficiency in banking. Economic Perspectives 1991;15(4):11–32.
[1168] Facanha LO, Resende M. Price cap regulation, incentives and quality: the case of Brazilian telecommunications. International
[1169] Fanchon P. Variable selection for dynamic measures of efficiency in the computer industry. International Advances in Economic
Research 2003;9(3):175–86.
[1170] Fandel G. On the performance of universities in North Rhine-Westphalia, Germany: government’s redistribution of funds judged
using DEA efficiency measures. European Journal of Operational Research 2007;176(1):521–33.
[1171] Färe R. Measuring the efficiency of decision making units: a comment. European Journal of Operational Research 1984;15:331–2.
[1172] Färe R. The dual measurement of efficiency. Zeitschrift Fur Nationalokonomie-Journal of Economics 1984;4(3):283–8.
[1173] Färe R. Productivity indexes—methods and applications. European Journal of Operational Research 1985;2:140.
[1174] Färe R. A dynamic non-parametric measure of output efficiency. Operations Research Letters 1986;5(2):83–5.
[1175] Färe R. Addition and efficiency. Quarterly Journal of Economics 1986;10:861–5.
[1176] Färe R. Surface mining of coal: efficiency of US interior mines. Applied Economics 1987;19:1665–73.
[1177] Färe R. Efficiency gains from addition of technologies: a nonparametric approach. In: Eichhorn W, editor. Measurement in
economics, vol. 20. Physics-Verlag; 1988. p. 171–6.
[1178] Färe R. Book review—efficiency analysis by production frontiers—the nonparametric approach—Sengupta, JK. Journal of
Economics-Zeitschrift Fur Nationalokonomie 1991;5:84.
[1179] Färe R. Industrial-efficiency in 6 nations. Economic Record 1993;6:217–9.
[1180] Färe R. Comments on ‘‘Incentives and Productivity Measures’’. International Journal of Production Economics 1995;39(1/2):80.
[1181] Färe R, Lovell CAK. Measuring the technical efficiency. Journal of Economic Theory 1978:150–62.
[1182] Färe R, Lovell CAK. Measuring the technical efficiency of production-reply. Journal of Economic Theory 1981;2:453–4.
37
[1183] Färe R, Lovell CAK. Aggregation and efficiency. In: Eichhorn W, editor. Measurement in economics, vol. 20. Physics-Verlag;
1988. p. 639–47.
[1184] Färe R, Primont D. Efficiency measures for multiplant firms. Operations Research Letters 1984;3(5):257–60.
[1185] Färe R, Primont D. Measuring the efficiency of multiunit banking-an activity analysis approach. Journal of Banking and Finance
1993;1:539–44.
[1186] Färe R, Primont D. Multi-output production and duality: theory and applications. Boston, USA: Kluwer; 1995.
[1187] Färe R, Primont D. The opportunity cost of duality. Journal of Productivity Analysis 1996;7:213–24.
[1188] Färe R, Whittaker G. An intermediate input model of dairy production using complex survey data. Journal of Agricultural
Economics 1995;4:201–13.
[1189] Färe R, Logan J. Regulation, scale and productivity—a comment. International Economic Review 1986;2:777–81.
[1190] Färe R, Logan J. Rate of return regulated version of Farrell efficiency. International Journal of Production Economics
1992;27(2):161–5.
[1191] Färe R, Russell RR. Index numbers: essays in honor of Sten Malmquist. Boston, USA: Kluwer; 1998.
[1192] Färe R, Grosskopf S. Measuring congestion in production. Zeitschrift Fur Nationalokonomie-Journal of Economics
1983;4:257–71.
[1193] Färe R, Grosskopf S. Measuring output efficiency. European Journal of Operational Research 1983;13:173–9.
[1194] Färe R, Grosskopf S. Measuring productive efficiency: an application to Illinois strip mines. Management Science
1984;30(6):671–81.
[1195] Färe R, Grosskopf S. A nonparametric cost approach to scale efficiency. Scandinavian Journal of Economics 1985;8:594–604.
[1196] Färe R, Grosskopf S. A distance function-approach to price efficiency. Journal of Public Economics 1990;4:123–6.
[1197] Färe R, Grosskopf S. Malmquist productivity indexes and Fisher ideal indexes. Economic Journal 1992;10:158–60.
[1198] Färe R, Grosskopf S. Estimation of returns to scale using Data Envelopment Analysis: a comment. European Journal of
[1199] Färe R, Grosskopf S. Estimation of returns to scale using Data Envelopment Analysis: a comment. Scandinavian Journal of
Economics 1994;7:379–82.
[1200] Färe R, Grosskopf S. Measuring productivity—a comment. International Journal of Operations and Production Management
1994;1:83–8.
[1201] Färe R, Grosskopf S. Cost and revenue constrained production. New York, USA: Springer; 1994.
[1202] Färe R, Grosskopf S. Nonparametric tests of regularity, Farrell efficiency, and goodness-of-fit. Journal of Econometrics
2005;6:415–25.
[1203] Färe R, Grosskopf S. Productivity and intermediate products: a frontier approach. Economics Letters 1996;50(1):65–70.
[1204] Färe R, Grosskopf S. Profitability and productivity changes: an application to Swedish pharmacies. Annals of Operations Research
1996;66:219–30.
[1205] Färe R, Grosskopf S. Congestion: a note. Socio-Economic Planning Sciences 1998;32(1):21–3.
[1206] Färe R, Grosskopf S. Primal and dual DEA measures of capacity utilization. In: Proceedings of Portland international conference
on management of engineering and technology, Portland international, vol. 1, 1999. p. 447.
[1207] Färe R, Grosskopf S. Network DEA. Socio-Economic Planning Sciences 2000;34(1):35–49.
[1208] Färe R, Grosskopf S. Research note. Decomposing technical efficiency with care. Management Science 2000;46(1).
[1209] Färe R, Grosskopf S. Slacks and congestion: a comment. Socio-Economic Planning Sciences 2000;34(1):27–33.
[1210] Färe R, Grosskopf S. Theory and application of directional distance functions. Journal of Productivity Analysis 2000;13(2):93–103.
[1211] Färe R, Grosskopf S. When can slacks be used to identify congestion? An answer to W.W. Cooper, L. Seiford and J. Zhu. SocioEconomic Planning Sciences 2001;35(3):217–21.
[1212] Färe R, Grosskopf S. Modeling undesirable factors in efficiency evaluation: comment. European Journal of Operational Research
2004;157(1):242–5.
[1213] Färe R, Grosskopf S. Resolving a strange case of efficiency. Journal of the Operational Research Society 2006;57(11):1366–8.
[1214] Färe R, Li SK. Inner and outer approximations of technology: a Data Envelopment Analysis approach. European Journal of
[1215] Färe R, Hunsaker W. Notions of efficiency and their reference sets. Management Science 1986;3:237–43.
[1216] Färe R, Grifell-Tatje E, Grosskopf S, Lovell CAK. Biased technical change and the Malmquist productivity index. Scandinavian
Journal of Economics 1997;99(1):119–27.
[1217] Färe R, Forsund FR, Grosskopf S, Hayes K, Heshmati A. A note on decomposing the malmquist productivity index by means of
subvector homotheticity. Econometric Theory 2001;17(1):239–45.
[1218] Färe R, Kirkley JE, Walden JB. Adjusting technical efficiency to reflect discarding: the case of the US Georges Bank multi-species
otter trawl fishery. Fisheries Research 2006;78(2–3):257–65.
[1219] Färe R, Grabowski R, Grosskopf S. Technical efficiency of Philippine agriculture. Applied Economics 1985;1:205–14.
[1220] Färe R, Grabowski R, Grosskopf S, Kraft S. Efficiency of a fixed but allocatable input: a non-parametric approach. Economics
Letters 1997;56(2):187–93.
[1221] Färe R, Grosskopf S, Roos AP. Reply to comments on ‘‘Productivity and quality changes in Swedish Pharmacies’’. International
Journal of Production Economics 1995;39(1/2):147–61.
[1222] Färe R, Grosskopf S, Pasurka C. Effects on relative efficiency in electric-power generation environmental controls. Resources and
Energy 1986;8:167–84.
38
[1223] Färe R, Grosskopf S, Pasurka C. Multilateral productivity comparisons when some outputs are undesirable: a non-parametric
approach. Review of Economics and Statistics 1989;71(1):90–8.
[1224] Färe R, Grosskopf S, Pasurka C. The effect of environmental regulations on the efficiency of electric utilities: 1969 versus 1975.
Applied Economics 1989;21:225–35.
[1225] Färe R, Grosskopf S, Pasurka CA. Accounting for air pollution emissions in measures of state manufacturing productivity growth.
Journal of Regional Science 2001;41(3):381–409.
[1226] Färe R, Grosskopf S, Pasurka CA. Social responsibility: US power plants 1985–1998. Journal of Productivity Analysis
2006;26(3):259–67.
[1227] Färe R, Grosskopf S, Lovell CAK. The structure of technical efficiency. Scandinavian Journal of Economics 1983;8:181–90.
[1228] Färe R, Grosskopf S, Lovell CAK. Measuring efficiency in production: with an application to electric utilities. In: Färe R,
Grosskopf S, Lovell CAK, editors. The measurement of efficiency of production. Kluwer-Nijhoff; 1985. p. 185–214.
[1229] Färe R, Grosskopf S, Lovell CAK. The measurement of efficiency of production. Boston, USA: Kluwer-Nijhoff; 1985.
[1230] Färe R, Grosskopf S, Lovell CAK. Nonparametric disposability tests. Zeitschrift Fur Nationalokonomie-Journal of Economics
1987;47(1):77–85.
[1231] Färe R, Grosskopf S, Lovell CAK. An indirect approach to the evaluation of producer performance. Journa of Public Economics
1988;37:71–89.
[1232] Färe R, Grosskopf S, Lovell CAK. Scale elasticity and scale efficiency. Journal of Institutional and Theoretical Economics
1988;14:721–9.
[1233] Färe R, Grosskopf S, Lovell CAK. The effect of unions on productivity: US surface mining of coal. Management Science
1988;34(9):1037–53.
[1234] Färe R, Grosskopf S, Lovell CAK. Production frontiers. Cambridge, UK: Cambridge University Press; 1994.
[1235] Färe R, Grosskopf S, Margaritis D. Economic reform and productivity growth: the case of Australia and New Zealand.
Mathematical and Computer Simulation 2002;59(1–3):143–52.
[1236] Färe R, Grosskopf S, Margaritis D. Productivity growth and convergence in the European Union. Journal of Productivity Analysis
2006;25(1–2):111–41.
[1237] Färe R, Grosskopf S, Njinkeu D. On piecewise reference technologies. Management Science 1988;3:1507–11.
[1238] Färe R, Grosskopf S, Hernandez-Sancho F. Environmental performance: an index number approach. Resource and Energy
Economics 2004;26(4):343–52.
[1239] Färe R, Grosskopf S, Logan J. The relative efficiency of Illinois electric utilities. Resources and Energy 1985;5(4):349–67.
[1240] Färe R, Grosskopf S, Logan J. The relative performance of publicly-owned and privately-owned electric utilities. Journal of Public
Economics 1985;26:89–106.
[1241] Färe R, Grosskopf S, Logan J. The comparative efficiency of western coal-fired steam-electric generating plants: 1977–1979.
Engineering Costs and Production Economics 1987;11:21–30.
[1242] Färe R, Grosskopf S, Nelson J. On price efficiency. International Economic Review 1990;3:709–20.
[1243] Färe R, Grosskopf S, Wen-Fu L. Productivity and technical change: the case of Taiwan. Applied Economics 2001;33(15):1911.
[1244] Färe R, Grosskopf S, Norris M. Productivity growth, technical progress, and efficiency change in industrialized countries: reply.
American Economic Review 1997;87(5):1040–4.
[1245] Färe R, Grosskopf S, Roos P. Productivity and quality changes in Swedish pharmacies. International Journal of Production
Economics 1995;39:137–47.
[1246] Färe R, Grosskopf S, Roos P. On two definitions of productivity. Economics Letters 1996;53(3):269–74.
[1247] Färe R, Grosskopf S, Brännlund R. Intertemporal production frontiers: with dynamic DEA. London, UK: Kluwer; 1996.
[1248] Färe R, Grosskopf S, Kraft S. Technical efficiency and size: the case of Illinois grain farms. European Review of Agricultural
Economic 1987;14(4):367–81.
[1249] Färe R, Grosskopf S, Zelenyuk V. Aggregation bias and its bounds in measuring technical efficiency. Applied Economics Letters
2004;11(10):657–60.
[1250] Färe R, Grosskopf S, Lee WF. Productivity in Taiwanese manufacturing industries. Applied Economics 1995;2:259–65.
[1251] Färe R, Grosskopf S, Weber WL. Measuring school district performance. Public Finance Quarterly 1989;17(4):409–28.
[1252] Färe R, Grosskopf S, Lindgren B, Roos P. Productivity changes in Swedish pharmacies 1980–1989: a non-parametric Malmquist
approach. Journal of Productivity Analysis 1992;3:85–101.
[1253] Färe R, Grosskopf S, Lindgren B, Roos P. Productivity developments in Swedish hospitals: a Malmquist output index approach.
In: Charnes A, Cooper WW, Lewin AY, Seiford LM, editors. Data Envelopment Analysis: theory, methodology, and applications.
Dordrecht, The Netherlands: Kluwer; 1995.
[1254] Färe R, Grosskopf S, Lovell CAK, Pasurka C. Multilateral productivity comparisons when some outputs undesirable—a
nonparametric approach. Review of Economics and Statistics 1989;7:90–8.
[1255] Färe R, Grosskopf S, Lovell CAK, Yaisawarng S. Derivation of shadow prices for undesirable outputs—a distance function
approach. Review of Economics and Statistics 1993;7:374–80.
[1256] Färe R, Grosskopf S, Norris M, Zhang Z. Productivity growth, technical progress, and efficiency change inindustrialized countries.
American Economic Review 1994;8:66–83.
[1257] Färe R, Grosskopf S, Roos P, Ray SC. Productivity and quality changes in Swedish pharmacies; comments on productivity and
quality changes in Swedish pharmacies; reply. International Journal of Production Economics 1995;39(1–2):137–47.
[1258] Färe R, Grosskopf S, Yaisawarng S, Li SK, Wang ZP. Productivity growth in Illinois electric utilities. Resources and Energy
1990;1:383–98.
39
[1259] Färe R, Li SK, Wang ZP. Productivity growth in Illinois electric utilities. Resources and Energy 1990;12:383–98.
[1260] Farris JA, Groesbeck RL, Van Aken EM, Letens G. Evaluating the relative performance of engineering design projects: a case
study using Data Envelopment Analysis. IEEE Transactions on Engineering Management 2006;53(3):471–82.
[1261] Farzipoor Saen R. Using super-efficiency analysis for ranking technologies. WSEAS Transactions on Mathematics
2006;5(5):599–604.
[1262] Fatti LP, Clarke K. Use of Data Envelopment Analysis and regression for establishing manpower requirements in a bank. ORiON
1998;14(1–2):57–66.
[1263] Faucett A, Kleiner BH. New developments in performance measures of public programmes. International Journal of Public Sector
Management 1994;7(3):63–70.
[1264] Favero CA, Papi L. Technical efficiency and scale efficiency in the Italian banking sector: a non-parametric approach. Applied
Economics 1995;27(4):385.
[1265] Featherstone AM, Moss CB. Measuring economies of scale and scope in agricultural banking. American Journal of Agricultural
Economics 1994;7:655–61.
[1266] Fecher F, Pestieau P. Efficiency and competition in OECD financial services. In: Fried HO, Schmidt SS, editors. The measurement
of productive efficiency: techniques and applications, Oxford, UK, 1993. p. 374–85.
[1267] Fecher F, Kessler D, Perelman S, Pertieau P. Productive performance of the French insurance industry. Journal of Productivity
Analysis 1993;4:77–93.
[1268] Felder S. The use of Data Envelopment Analysis for the detection of price above the competitive level. Empirica 1995;22(2):103–13.
[1269] Felder S, Schmitt H. Data Envelopment Analysis based bonus payments. Theory and application to inpatient care in the German
state of Saxony-Anhalt. European Journal of Health Economics 2004;5(4):357–63.
[1270] Felthoven RG, Hiatt T, Terry JM. Measuring fishing capacity and utilization with commonly available data: an application to
Alaska fisheries. Marine Fisheries Review 2002;64(4):29–39.
[1271] Feng YJ, Lu H, Bi K. An AHP/DEA method for measurement of the efficiency of R&D management activities in universities.
International Transactions in Operational Research 2004;11(2):181–91.
[1272] Fernandes E, Pacheco RR. Efficient use of airport capacity. Transportation Research Part A: Policy and Practice
2002;36(3):225–38.
[1273] Fernandes E, Pires H, Ignacio AAV, Sampaio LMD. An analysis of the supplementary health sector in Brazil. Health Policy 2006.
[1274] Fernandez-Castro A, Smith P. Towards a general non-parametric model of corporate performance. Omega 1994;22(3):237–49.
[1275] Fernandez-Castro AS, Smith PC. Lancaster’s characteristics approach revisited: product selection using non-parametric methods.
Managerial and Decision Economics 2002;23(2):83–91.
[1276] Feroz EH, Kim S, Raab RL. Financial statement analysis: a Data Envelopment Analysis approach. Journal of the Operational
[1277] Ferrantino MJ, Ferrier GD. The technical efficiency of vacuum-pan sugar industry of India: an application of a stochastic frontier
production function using panel data. European Journal of Operational Research 1995;80(3):639–53.
[1278] Ferrari A. Market oriented reforms of health services: a non-parametric analysis. Service Industries Journal 2006;26(1):1–13.
[1279] Ferraro PJ. Targeting conservation investments in heterogeneous landscapes: a distance-function approach and application to
watershed management. American Journal of Agricultural Economics 2004;86(4):905–18.
[1280] Ferrier GD. Ownership type, property rights and relative efficiency. In: Charnes A, Cooper WW, Lewin AY, Seiford LM, editors.
Data Envelopment Analysis: theory, methodology, and applications. Dordrecht, The Netherlands: Kluwer; 1995.
[1281] Ferrier GD. Comment on Hughes, Lang, Mester, and Moon and Cummins, Tennyson, and Weiss. Journal of Banking and Finance
1999;23(2–4):358–66.
[1282] Ferrier GD, Lovell CAK. Measuring cost efficiency in banking. Journal of Econometrics 1990;46:229–45.
[1283] Ferrier GD, Lovell CAK. Measuring cost efficiency in banking-econometric and linear-programming evidence. Journal of
[1284] Ferrier GD, Hirschberg JG. Climate control efficiency. Energy Journal 1992;1:37–54.
[1285] Ferrier GD, Porter PK. The productive efficiency of United States milk processing cooperatives. Journal of Agricultural
Economics 1991;4:161–73.
[1286] Ferrier GD, Valdmanis VG. Do mergers improve hospital productivity? Journal of the Operational Research Society
2004;55(10):1071–80.
[1287] Ferrier GD, Klinedinst M, Linvill CB. Static and dynamic productivity among Yugoslav enterprises: components and correlates.
Journal of Comparative Economics 1998;26(4):805–21.
[1288] Ferrier GD, Rosko MD, Valdmanis VG. Analysis of uncompensated hospital care using a DEA model of output congestion.
Health Care Management Science 2006;9(2):181–8.
[1289] Ferrier GD, Grosskopf S, Hayes KJ, Yaisawarng S. Economies of diversification in the banking industry—a frontier approach.
Journal of Monetary Economics 1993;3:229–49.
[1290] Ferris MC, Voelker MM. Slice models in general purpose modeling systems: an application to DEA. Optimization Methods and
Software 2002;17(6):1009–32.
[1291] Fiala P, Jablonsky J. Models for performance evaluation of central European firms. In: Proceedings—annual meeting of the
Decision Sciences Institute. Decision Sciences Institute; 2002. p. 1607–11.
[1292] Field K, Emrouznejad A. Measuring the performance of neonatal care units in Scotland. Journal of Medical Systems
2003;27(4):315–24.
40
[1293] Filimonov RP. Bounds of asymptotic relative efficiency for two invariant detection rules with respect to the Wilcoxon’s Rule.
Radiotekhnika i Elektronika 1992;37(12):2215–22.
[1294] Finkler MD, Wirtschafter DD. Cost-effectiveness and Data Envelopment Analysis. Health Care Management Review
1993;18(3):81–8.
[1295] Fiordelisi F, Molyneux P. Efficiency in the factoring industry. Applied Economics 2004;36(9):947–59.
[1296] First Z, Hackman ST, Passy U. Efficiency estimation and duality—theory for nonconvex technologies. Journal of Mathematical
Economics 1993;2:295–307.
[1297] Fisher DM, Sun DB. Lan-based e-mail: software evaluation. Journal of Computer Information Systems 1995;36(2):21–5.
[1298] Fisher DM, Fisher SA, Kiang MY, Chi RT. Evaluating mid-level Erp software. Journal of Computer Information Systems
2004;45(1):38–46.
[1299] Fitzsimmons JA, Jain M, Duffy JAM. Analysis of nursing home care using DEA. In: Proceedings of the Decision Sciences
Institute, 1994 annual meeting, vol. 3, Decision Sci. Inst. 1994. p. 1870–2.
[1300] Fizel JL, Ditri M. Estimating managerial efficiency: the case of college basketball coaches. Journal of Sport Management
1996;10(4):435–45.
[1301] Fizel JL, D’Itri MP. Managerial efficiency, managerial succession and organizational performance. Managerial and Decision
Economics 1997;18(4):295–308.
[1302] Fizel JL, D’Itri MP. Firing and hiring of managers: does efficiency matter? Journal of Management 1999;25(4):567–86.
[1303] Fizel JL, Nunnikhoven TS. Technical efficiency of for-profit and non-profit nursing homes. Managerial and Decision Economics
1992;13(5):429–39.
[1304] Fizel JL, Nunnikhoven TS. The efficiency of nursing-home chains. Applied Economics 1993;2:49–55.
[1305] Flegg AT, Allen DO, Field K, Thurlow TW. Measuring the efficiency of British universities: a multi-period Data Envelopment
Analysis. Education Economics 2004;12(3):231–49.
[1306] Flitman A. Towards meaningful benchmarking of software development team productivity. Benchmarking 2003;10(4):382–99.
[1307] Flitman AM. A neural network DEA meta-model to facilitate software development time and cost estimation. In: Proceedings of
the Artificial Neural Networks in engineering conference, vol. 10. New York: ASME; 2000. p. 941–6.
[1308] Florens J-P, Simar L. Parametric approximations of nonparametric frontiers. Journal of Econometrics 2005;124(1):91–116.
[1309] Forker L, Forker LB. Factors affecting supplier quality performance. Journal of Operations Management 1997;1:243–69.
[1310] Forker LB, Mendez D. Evaluating the relationship between total quality management and quality performance. In: Proceedings of
the Decision Sciences Institute, 1994 annual meeting, vol. 3, Decision Sci. Inst., 1994. p. 2124–6.
[1311] Forker LB, Mendez D, Hershauer JC. Total quality management in the supply chain: what is its impact on performance?
[1312] Foroughi AA, Tamiz M. An effective total ranking model for a ranked voting system. Omega 2005;33(6):491–6.
[1313] Foroughi AA, Jones DF, Tamiz M. A selection method for a preferential election. Applied Mathematics and Computation
2005;163(1):107–16.
[1314] Foroughi AA, Soleimani-damaneh M, Jahanshahloo GR. A comment on ‘‘Measuring super-efficiency in DEA in the presence of
infeasibility’’. European Journal of Operational Research 2006;170(1):323–5.
[1315] Forrester J, Anderson TR. A comparison of efficiency measurement using Data Envelopment Analysis and regression in the utility
industry. In: Proceedings of Portland international conference on management of engineering and technology, Portland
international, vol. 1, 1999. p. 297.
[1316] Forrester JL, Anderson TR. A new technique for estimating confidence intervals on Data Envelopment Analysis efficiency
estimates. In: Proceedings of Portland international conference on management of engineering and technology, Portland
International, vol. 1, 1999. p. 447.
[1317] Forsund FR. Productivity growth in Norwegian Ferries. In: Fried HO, Schmidt SS, editors. The measurement of productive
efficiency: techniques and applications, Oxford UK; 1993. p. 352–73.
[1318] Forsund FR. Malmquist productivity indices: an empirical comparison. In: Färe R, Russell RR, editors. Index numbers: esays in
honor of Sten Malmquist. Dordrecht, The Netherlands: Kluwer; 1998. p. 217–39.
[1319] Forsund FR, Hernaes E. A comparative analysis of ferry transport in Norway. In: Charnes A, Cooper WW, Lewin AY, Seiford
LM, editors. Data Envelopment Analysis: theory, methodology, and applications. Dordrecht, The Netherlands: Kluwer; 1995.
[1320] Forsund FR, Jansen ES. Malmquist indices of productivity growth during the deregulation of Norwegian banking, 1980–1989.
Scandinavian Journal of Economics 1992;94:211–28.
[1321] Forsund FR, Hjalmarsson L. Generalised Farrell measures of efficiency: an application to milk processing in Swedish dairy plants.
Economic Journal 1979;89:294–315.
[1322] Forsund FR, Hjalmarsson L. Deterministic parametric and nonparametric estimation of efficiency in service production. Journal
of Econometrics 1990;46:213–27.
[1323] Forsund FR, Albriktsen RO. A productivity study of the Norwegian building industry. Journal of Productivity Analysis
1990;2:53–66.
[1324] Forsund FR, Schmidt P, Lovell CAK. A survey of frontier production functions and of their relationship to efficiency
measurement. Journal of Econometrics 1980;13:5–25.
[1325] Forsund FR. A comparison of parametric and non-parametric efficiency measures: the case of Norwegian ferries. In: Gulledge TR,
Lovell CAK, editors. International applications of productivity and efficiency analysis. Boston: Kluwer Academic Publishers; 1992.
[1326] Forsund FR. On the calculation of the scale elasticity in DEA models. Journal of Productivity Analysis 1996;7(2–3):283–302.
41
[1327] Forsund FR. The rise and fall of slacks: comments on quasi-Malmquist productivity indices. Journal of Productivity Analysis
1998;10(1):21–34.
[1328] Forsund FR, Hjalmarsson L. Are all scales optimal in DEA? Theory and empirical evidence. Journal of Productivity Analysis
2004;21(1):25–48.
[1329] Forsund FR, Hjalmarsson L. Calculating scale elasticity in DEA models. Journal of the Operational Research Society
2004;55(10):1023–38.
[1330] Forsund FR, Sarafoglou N. On the origins of Data Envelopment Analysis. Journal of Productivity Analysis 2002;17(1–2):23–40.
[1331] Forsund FR, Sarafoglou N. The tale of two research communities: the diffusion of research on productive efficiency. International
[1332] Forsund FR, Kittelsen SAC. Productivity development of Norwegian electricity distribution utilities. Resource and Energy
Economics 1998;20(3):207–24.
[1333] Forsund FR, Roberto Z. The art of benchmarking: Picasso prints and Auction house performance. Applied Economics
2006;38(12):13.
[1334] Foster MJ. A comment on evaluating the efficiency of US air-force organizations. Journal of the Operational Research Society
1989;40:1059.
[1335] Foster MJ. DEA: a role in policy exploration? OR Insight 1994;7(1):2–6.
[1336] Fox KJ, Hill RJ, Diewert WE. Identifying outliers in multi-output models. Journal of Productivity Analysis 2004;22(1–2):73–94.
[1337] Fox W, Hofler R. Using homothetic composed error frontiers to measure water utility efficiency. Southern Economic Journal
1986;5:461–77.
[1338] Frank RG. On making the illustration illustrative: a comment on banker, Conrad and Strauss. Management Science
1988;34(8):1026–9.
[1339] Frantz R. X-efficiency and allocative efficiency: what have we learned? DEA papers and proceedings. American Economic Review
1992;8:434–8.
[1340] Fraser I, Cordina D. An application of Data Envelopment Analysis to irrigated dairy farms in Northern Victoria, Australia.
Agricultural Systems 1999;59(3):267–82.
[1341] Fraser I, Hone P. Farm-level efficiency and productivity measurement using panel data: wool production in south-west Victoria.
Australian Journal of Agricultural Economics 2001;45(2):215–32.
[1342] Frei FX, Harker PT. Measuring aggregate process performance using AHP. European Journal of Operational Research
1999;116(2):436–42.
[1343] Frei FX, Harker PT. Projections onto efficient frontiers: theoretical and computational extensions to DEA. Journal of Productivity
Analysis 1999;11(3):275–300.
[1344] Frei FX, Kalakota R, Leone AJ, Marx LM. Process variation as a determinant of bank performance: evidence from the retail
banking study. Management Science 1999;45(9):1210–20.
[1345] Fried HO, Lovell CAK. Enhancing the performance of credit unions: the evolution of a methodology. Recherches Economiques de
Louvain 1994;60(4):431–47.
[1346] Fried HO, Schmidt SS. The measurement of productive efficiency: techniques and applications. New York, USA: Oxford
University Press; 1993.
[1347] Fried HO, Lovell CAK, Turner JA. An analysis of the performance of university-affiliated credit unions. Computer and Operations
Research 1996;23(4):375–84.
[1348] Fried HO, Lovell CAK, Vandeneeckaut P. Evaluating the performance of United States credit unions. Journal of Banking and
Finance 1993;1:251–65.
[1349] Fried HO, Lovell CAK, Schmidt SS, Yaisawarng S. Accounting for environmental effects and statistical noise in Data
Envelopment Analysis. Journal of Productivity Analysis 2002;17(1–2):157–74.
[1350] Fried HO, Lambrinos J, Tyner J. Evaluating the performance of professional golfers on the P.G.A, L.P.G.A and S.P.G.A tours.
[1351] Fried HO, Yaisawarng S, Schmidt SS. Incorporating the operating environment into a nonparametric measure of technical
efficiency. Journal of Productivity Analysis 1999;12(3):247–65.
[1352] Fried HO, Schmidt SS, Yaisawarng S. Productive, scale and scope efficiencies in US hospital-based nursing homes. INFOR
1998;36(3):103–19.
[1353] Friedman L, Hadad Y. Bi-criteria ranking in the DEA context. Central European Journal of Operational Research
2004;12(4):353–68.
[1354] Friedman L, Sinuany-Stern Z. Scaling units via the canonical correlation analysis in the DEA context. European Journal of
[1355] Friedman L, Sinuany-Stern Z. Combining ranking scales and selecting variables in the DEA context: the case of industrial
branches. Computer and Operations Research 1998;25(9):781–91.
[1356] Friesner D, Neufelder D, Raisor J, Khayum M. Benchmarking patient improvement in physical therapy with Data Envelopment
Analysis. International Journal of Health Care Quality Assurance Incorporating Leadership in Health Services
2005;18(6–7):441–57.
[1357] Fu T-T, Huang CJ, Lovell CAK. Economic efficiency and productivity growth in the Asia-Pacific region. Edward; 1999.
[1358] Fu XL. Exports, technical progress and productivity growth in a transition economy: a non-parametric approach for China.
42
[1359] Fuchs M, Walder B. Benchmarking indicator-systems and their potential for measuring destination efficiency. In: Emrouznejad A,
Green R, Krivonozhko V, editors. Efficiency and productivity analysis in the 21st century. International Research in Management
Science; 2002.
[1360] Fuchs M, Zach F. On the usefulness of Data Envelopment Analysis for strategy development: a tourism destination case study. In:
Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 266.
[1361] Fuentes HJ, Grifell-Tatje E, Perelman S. A parametric distance function approach for Malmquist productivity index estimation.
[1362] Fuh-Hwa FL, Chueng-Chiu H, Yu-Lee Y. Using DEA to obtain efficient solutions for multiobjective 0-1 linear programs.
[1363] Fukuyama H. Technical and scale efficiency of Japanese commercial banks: a non-parametric approach. Applied Economics
1993;25(8):1101–12.
[1364] Fukuyama H. Measuring efficiency and productivity growth in Japanese banking: a nonparametric frontier approach. Applied
Financial Economics 1995;5(2):95–107.
[1365] Fukuyama H. Returns to scale and efficiency of credit associations in Japan: a nonparametric frontier approach. Japan and the
World Economy 1996;8(3):259–77.
[1366] Fukuyama H. Investigating productive efficiency and productivity changes of Japanese life insurance companies. Pacific-Basin
Finance Journal 1997;5(4):481–509.
[1367] Fukuyama H. Returns to scale and scale elasticity in Data Envelopment Analysis. European Journal of Operational Research
2000;125(1):93–112.
[1368] Fukuyama H. Returns to scale and scale elasticity in Farrell, Russell and additive models. Journal of Productivity Analysis
2001;16(3):225–39.
[1369] Fukuyama H. Scale characterizations in a DEA directional technology distance function framework. European Journal of
[1370] Fukuyama H, Guerra R. Efficiency and ownership: evidence from Japanese credit cooperatives. Journal of Economics and
Business 1999;51(6):473.
[1371] Fukuyama H, Weber WL. the efficiency and productivity change of non-life insurance companies in Japan. Pacific Economic
Review 1998;6(1):129–46.
[1372] Fukuyama H, Weber WL. The efficiency and productivity of Japanese securities firms, 1988–93. Japan and the World Economy
1999;11(1):115–33.
[1373] Fukuyama H, Weber WL. Estimating output allocative efficiency and productivity change: application to Japanese banks.
[1374] Fukuyama H, Weber WL. Evaluating public school district performance via DEA gain functions. Journal of the Operational
[1375] Fukuyama H, Weber WL. Modeling input allocative efficiency via distance and quasi-distance functions. Journal of Operations
Research Society of Japan 2003;46(3):264–85.
[1376] Fukuyama H, Weber WL. Economic inefficiency measurement of input spending when decision-making units face different input
prices. Journal of the Operational Research Society 2004;55(10):1102–10.
[1377] Fukuyama H, Weber WL. Estimating output gains by means of Luenberger efficiency measures. European Journal of Operational
Research 2005;164(2):535–47.
[1378] Fukuyama H, Weber WL. Modeling output gains and earnings’ gains. International Journal of Information Technology and
Decision 2005;4(3):433–54.
[1379] Fu-Kwun W. Evaluating the efficiency of implementing total productive maintenance. Total Quality Management and Business
Excellence 2006;17(5):655–67.
[1380] Fulginiti LE, Perrin RK. Productivity in L.D.C agriculture—the Malmquist measure. American Journal of Agricultural Economics
1993;7:1303.
[1381] Fulginiti LE, Perrin RK. Productivity in L.D.C agriculture—nonparametric Malmquist measures. Journal of Agricultural and
Resource Economics 1995;2:401.
[1382] Fulginiti LE, Perrin RK. Ldc agriculture: nonparametric Malmquist productivity indexes. Journal of Development Economics
1997;53(2):373–90.
[1383] Fulginiti LE, Perrin RK. Agricultural productivity in developing countries. Agricultural Economics 1998;19(1–2):45–51.
[1384] Fulginiti LE, Perrin RK. Have price policies damaged Ldc agricultural productivity? Contemporary Economic Policy
1999;17(4):469–75.
[1385] Fumero F. Multiple solutions identification in Data Envelopment Analysis. Central European Journal of Operational Research
2004;12(3):307–22.
[1386] Fung KK. Data Envelopment Analysis—another Paretian trap. Economics of Education Review 1995;1:315–6.
[1387] Fung MKY, Wan KKH. Ownership and efficiency differentials in Chinese industry: further evidence from Data Envelopment
Analysis. Applied Economics Letters 1996;3(7):475–82.
[1388] Fuss MA. Productivity growth in Canadian telecommunications. Canadian Journal of Economics-Revue 1994;2:371–92.
[1389] Gaiola AJF. Efficiency evaluation in the urban solid waste systems of Portugal using Data Envelopment Analysis. In: Emrouznejad
A, Green R, Krivonozhko V, editors. Efficiency and productivity analysis in the 21st century. International Research in
Management Science; 2002.
43
[1390] Galagedera D, Silvapulle P. Experimental evidence on robustness of Data Envelopment Analysis. Journal of the Operational
[1391] Galagedera Don UA. Does model misspecification in DEA affect some DMUs more than others? Excremental evidence from a
CRS frontier. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 119.
[1392] Galanopoulos K, Aggelopoulos S, Kamenidou I, Mattas K. Assessing the effects of managerial and production practices on the
efficiency of commercial pig farming. Agricultural Systems 2006;88(2–3):125–41.
[1393] Gang H, Quanling W, Hong Y. The generalized DEA model and the convex cone constrained game. European Journal of
[1394] Gang Y, Quanling W, Brockett P. A generalized Data Envelopment Analysis model: a unification and extension of existing
methods for efficiency analysis of decision making units. Annals of Operations Research 1996;66:47–89.
[1395] Ganley JA, Cubbin JS. Performance indicators in prisons. Public Money 1987:57–9.
[1396] Ganley JA, Cubbin JS. Public sector efficiency measurement: applications of Data Envelopment Analysis. Amsterdam: Elsevier,
North-Holland; 1992.
[1397] Ganley JA, Cubbin JS. Public sector efficiency measurement: applications of Data Envelopment Analysis. Journal of Economic
Literature 1994;32(2):784.
[1398] Gannon B. Technical efficiency and total factor productivity growth of hospitals in Ireland. In: Emrouznejad A, Podinovski V,
editors. Proceedings of DEA2004, Boirmingham, UK, 2004. p. 367.
[1399] Garbaccio RF, Hermalin BE, Wallace NE. A comparison of nonparametric methods to measure efficiency in the savings-and-loan
industry. Journal of the American Real Estate and Urban Economics Association 1994;2:169–93.
[1400] Garcia-Sanchez IM. Efficiency measurement in Spanish local government: the case of municipal water services. Review of Policy
Research 2006;23(2):355–71.
[1401] Garcia PAA, Schirru R, Melo PFFE. A fuzzy Data Envelopment Analysis approach for F.M.E.A. Progress in Nuclear Energy
2005;46(3–4):359–73.
[1402] Garcia-Cestona MA, Surroca J. Evaluation of efficiency with multiple goals. An application to savings banks. Revista de
Economia Aplicada 2006;14(40):67–89.
[1403] Garcia-Valinas MA, Muniz MA. Is DEA useful in the regulation of water utilities? A dynamic efficiency evaluation (A dynamic
efficiency evaluation of water utilities). Applied Economics 2007;39(2):245–52.
[1404] Garg KC, Gupta BM, Jamal T, Roy S, Kumar S. Assessment of impact of Aicte funding on R&D and educational development.
Scientometrics 2005;65(2):151–60.
[1405] Garrett AW, Bessent EW, Clark CT. Managerial efficiency measurement in school administration. National Forum of Educational
Administration and Supervision Journal 1986;3(3):56–66.
[1406] Gastwirth JL, Podgor MJ. Efficiency robust rank tests for the location-scale problem. In: Proceedings of the international
symposium on nonparametric statistics and related topics. Amsterdam: Elsevier Science; 1991. p. 17.
[1407] Gathon HJ. Indicators of partial productivity and technical efficiency in the European urban transit sector. Annals of Public and
Cooperative Economics 1989;60(1):43–59.
[1408] Gathon HJ, Pestieau P. Decomposing efficiency into its managerial and its regulatory components: the case of European railways.
[1409] Gattoufi S, Reisman A. Confident-DEA: a new methodology for efficiency analysis with imprecise data. In: Proceedings of the
conference modelling, computation and optimization, 2004. p. 1–3.
[1410] Gattoufi S, Oral M, Reisman A. A taxonomy for Data Envelopment Analysis. Socio-Economic Planning Sciences 2004;38(2/
3):141.
[1411] Gattoufi S, Oral M, Reisman A. Data Envelopment Analysis literature: a bibliography update (1996–2001). Socio-Economic
Planning Sciences 2004;38(2):3.
[1412] Gattoufi S, Oral M, Kumar A, Reisman A. Content analysis of Data Envelopment Analysis literature and its comparison with that
of other OR/MS fields. Journal of the Operational Research Society 2004;55(9):911–35.
[1413] Gattoufi S, Oral M, Kumar A, Reisman A. Epistemology of Data Envelopment Analysis and comparison with other fields of OR/
MS for relevance to applications. Socio-Economic Planning Sciences 2004;38(2/3):123.
[1414] Gavirneni S, Lev B. Dynamic and stochastic efficiency analysis: economics of Data Envelopment Analysis—book revieew.
Interfaces 2004;34(3):238–9.
[1415] Gelade G, Gilbert P. Work climate and organizational effectiveness: the application of Data Envelopment Analysis in
organizational research. Organizational Research Methods 2003;6(4):482–501.
[1416] Gerard K, Roderick P. Comparison of apparent efficiency of haemodialysis satellite units in England and Wales using Data
Envelopment Analysis. International Journal of Technology Assessment in Health Care 2003;19(3):533–9.
[1417] Gerdtham UG, Rehnberg C, Tambour M. The impact of internal markets on health care efficiency: evidence from health care
reforms in Sweden. Applied Economics 1999;31(8):935–45.
[1418] Geva-May I. Higher education and attainment of policy goals: interpretations for efficiency indicators in Israel. Higher Education
2001;42(3):265–305.
[1419] Giannakis D, Jamasb T, Pollitt M. Benchmarking and incentive regulation of quality of service: an application to the UK
electricity distribution networks. Energy Policy 2005;33(17):2256–71.
[1420] Gijbels I, Mammen E, Park BU, Simar L. On estimation of monotone and concave frontier functions. Journal of the American
Statistical Association 1999;94(445):220–8.
44
[1421] Gilbarg PG, Hollingsworth KB, Cole MH, Anderson TR. Warehouse benchmarking using weight restricted Data Envelopment
Analysis. In: Proceedings of Portland international conference on management of engineering and technology, Portland
International, vol. 1, 1999. p. 447.
[1422] Gillen D, Lall A. Developing measures of airport productivity and performance: an application of Data Envelopment Analysis.
Transportation Research Part E: Logistics and Transportation Review 1997;33(4):261–73.
[1423] Gillen DW. Transportation infrastructure and economic-development—a review of recent literature. Logistics and Transportation
Review 1996;3:39–62.
[1424] Gillett R, Aitkenhead M. Rank injustice in academic research. Nature 1987;32:381–2.
[1425] Gimenez VM, Martinez JL. Cost efficiency in the university: a departmental evaluation model. Economics of Education Review
2006;25(5):543–53.
[1426] Gimenez-Garcia VM, Martinez-Parra JL, Buffa FP. Improving resource utilization in multi-unit networked organizations: the case
of a Spanish Restaurant Chain. Tourism Management 2007;28(1):262–70.
[1427] Giokas D. Use of goal programming and Data Envelopment Analysis for estimating efficient marginal costs of outputs. Journal of
[1428] Giokas DI. Bank branch operating efficiency: a comparative application of DEA and the loglinear model. Omega 1991;1:549–57.
[1429] Giokas DI. Greek hospitals: how well their resources are used. Omega 2001;29(1):73–83.
[1430] Giokas DI, Pentzaropoulos GC. Evaluating the relative operational efficiency of large-scale computer networks: an approach via
Data Envelopment Analysis. Applied Mathematical Modelling 1995;19(6):363–70.
[1431] Giokas DI, Pentzaropoulos GC. Efficient storage allocation for processing in backlog-controlled queueing networks using
multicriteria techniques. European Journal of Operational Research 2000;124(3):539–49.
[1432] Giokas DI, Pentzaropoulos GC. Evaluating productive efficiency in telecommunications: evidence from Greece. Telecommunications Policy 2000;24(8–9):781–94.
[1433] Girod OA, Triantis KP. The evaluation of productive efficiency using a fuzzy mathematical programming approach: the case of the
newspaper preprint insertion process. IEEE Transactions on Engineering Management 1999;46(4):429–43.
[1434] Giuffrida A. Productivity and efficiency changes in primary care: a Malmquist index approach. Health Care Management Science
1999;2(1):11–26.
[1435] Giuffrida A, Gravelle H. Measuring performance in primary care: econometric analysis and DEA. Applied Economics
2001;33(2):163–75.
[1436] Glass JC, McKillop DG. A post deregulation analysis of the sources of productivity growth in UK building societies. Manchester
School 2000;68(3):360–85.
[1437] Glass JC, McKillop DG, O’Rourke G. A cost indirect evaluation of productivity change in UK universities. Journal of
[1438] Glass JC, McCallion G, McKillop DG, Stringer K. A technically level playing-field profit efficiency analysis of enforced
competition between publicly funded institutions. European Economic Review 2006;50(6):1601–26.
[1439] Goaı̈ed M, Ayed-Mouelhi RB. Efficiency measurement with unbalanced panel data: evidence from Tunisian textile, clothing and
leather industries. Journal of Productivity Analysis 2000;13(3):245–58.
[1440] Gocht A, Balcombe K. Ranking efficiency units in DEA using bootstrapping an applied analysis for Slovenian farm data.
[1441] Goetschel Jr R, Voxman W. Optimal clustering in graphs with weighted edges: a unified approach to the threshold problem.
Journal of the American Society for Information Science 1987;38(1):13–20.
[1442] Gökc- ekus Ö. The effects of trade exposure on technical efficiency: new evidence from the Turkish rubber industry. Journal of
[1443] Golany B. A note on including ordinal relations among multipliers in Data Envelopment Analysis. Management Science
1988;34(8):1029–33.
[1444] Golany B. Iinteractive Molp procedure for the extension if DEA to effectiveness analysis. Journal of the Operational Research
Society 1988;39(8):725–34.
[1445] Golany B. Controlling factor weights in DEA. IIE Transactions 1991;23(1):2–9.
[1446] Golany B, Tamir E. Evaluating efficiency–effectiveness–equality trade-offs-a Data Envelopment Analysis approach. Management
Science 1995;4:1172–84.
[1447] Golany B, Tamir E. New uses of DEA in the evaluation of efficiency, equity and effectiveness. Management Science
1995;41(7):1172–84.
[1448] Golany B, Gu G. Estimating returns to scale in DEA. European Journal of Operational Research 1997;103(1):28–37.
[1449] Golany B, Yu G. A goal programming-discriminant function approach to the estimation of an empirical production function based
on DEA results. Journal of Productivity Analysis 1995;2:171–86.
[1450] Golany B, Storbeck JE. A Data Envelopment Analysis of the operational efficiency of the operational efficiency of bank branches.
Interfaces 1999;29(3):14–26.
[1451] Golany B, Rousseau JJ. Efficiency evaluation games. In: Phillips FY, Rousseau JJ, editors. Systems and management science by
extremal methods. Boston: Kluwer Academic Publishers; 1992.
[1452] Golany B, Thore S. On the competitiveness of nations in impact. In: Cooper WW, Thore S, Gibson D, Phillips F, editors. How IC2
institute research affects public policy and business practice, IC2 management and management science. Quorum Books; 1997. p.
189–208.
45
[1453] Golany B, Thore S. Restricted best practice selection in DEA: an overview with a case study evaluating the socio-economic
performance of nations. Annals of Operations Research 1997;73:117–40.
[1454] Golany B, Thore S. The economic and social performance of nations: efficiency and returns to scale. Socio-Economic Planning
Sciences 1997;31(3):191–204.
[1455] Golany B, Roll Y. An application procedure for DEA. Omega 1989;1(3):237–50.
[1456] Golany B, Roll Y. Some extensions of techniques to handle non-discretionary factors in Data Envelopment Analysis. Journal of
[1457] Golany B, Roll Y. Incorporating standards in DEA. In: Charnes A, Cooper WW, Lewin AY, Seiford LM, editors. Data
[1458] Golany B, Learner DB, Phillips FY, Rousseau JJ. Managing service productivity: the Data Envelopment Analysis perspective.
Computers, Environment and Urban Systems 1990;1:89–102.
[1459] Golany B, Phillips FY, Rousseau JJ. Models for improved effectiveness based on DEA efficiency results. IIE Transactions
1993;25(6):1–10.
[1460] Golany B, Hackman ST, Passy U. An efficiency measurement framework for multi-stage production systems. Annals of Operations
Research 2006;145:51–68.
[1461] Golany B, Roll Y, Rybak D. Measuring efficiency of power-plants in Israel by Data Envelopment Analysis. IEEE Transactions on
Engineering Management 1994;4:291–301.
[1462] Goldstein H. Data Envelopment Analysis: an exposition and critique. Evaluation and Research in Education 1990;4(1):17–20.
[1463] Gomes EG, Soares de Mello JCCB, Estellita Lins MPE. Redistribuicao De Inputs E Outputs Em Modelos De Análise Envoltória
De Dados Com Ganhos De Soma Zero. Pesquisa Operacional 2004;24:269–84 (in Portuguese).
[1464] Gong BH, Sickles RC. Finite sample evidence on the performance of stochastic frontiers and Data Envelopment Analysis using
panel data. Journal of Econometrics 1992;5:259–84.
[1465] Gong LG, Sun B. Efficiency measurement of production operations under uncertainty. International Journal of Production
Economics 1995;3:55–66.
[1466] Gonzalez E, Alvarez A. From efficiency measurement to efficiency improvement: the choice of a relevant benchmark. European
[1467] Gonzalez E, Gascon F. Sources of productivity growth in the Spanish pharmaceutical industry (1994–2000). Research Policy
2004;33(5):735–45.
[1468] Gonzalez MD, Tapia RA, Thrall RM. On the construction of strong complementarity slackness solutions for DEA linear
programming problems using a primal-dual interior-point method. Annals of Operations Research 1996;66:139–62.
[1469] Gonzalez XM, Miles D. Statistical precision of DEA: a bootstrap application to Spanish public services. Applied Economics
Letters 2002;9(2):127–32.
[1470] Gonzalez-Torre PL, Adenso-Diaz B. A model for the reallocation of recycling containers: application to the case of glass. Waste
Management and Research 2002;20(5):398–406.
[1471] Good DH, Roller LH, Sickles RC. Airline efficiency differences between Europe and the United States—implications for the pace
of Ec integration and domestic regulation. European Journal of Operational Research 1995;8:508–18.
[1472] Gospodarevskaya E, Churilov L, Harris A. Economic efficiency analysis of the child immunization program in Australia: a local
government perspective. In: Emrouznejad A, Green R, Krivonozhko V, editors. Efficiency and productivity analysis in the 21st
century. International Research in Management Science; 2002.
[1473] Goto M, Tsutsui M. Comparison of productive and cost efficiencies among Japanese and US electric utilities. Omega
1998;26(2):177–94.
[1474] Grabowski R, Rangan N, Rezvanian R. Organizational forms in banking—an empirical investigation of cost efficiency. Journal of
Banking and Finance 1993;1:531–8.
[1475] Granderson G, Linvill C. Nonparametric measurement of productive efficiency in the presence of regulation. European Journal of
[1476] Granderson G, Linvill C. Regulation, efficiency, and granger causality. International Journal of Industrial Organization
2002;20(9):1225–45.
[1477] Granof MH. New technique may alter efficiency reviews. Government Accounting and Auditing Update 1991;2(6).
[1478] Greasley A. Using DEA and simulation in guiding operating units to improved performance. Journal of the Operational Research
Society 2005;56(6):727–31.
[1479] Green A, Mayes DG. Technical inefficiency in manufacturing industries. Economic Journal 1991;101:523–38.
[1480] Green R. Dynamics of Data Envelopment Analysis: theory of systems efficiency—Sengupta, JK—book review. Journal of the
Operational Research Society 1996;4(11):1421.
[1481] Green RH. Diy DEA: implementing Data Envelopment Analysis in the mathematical programming language Ampl. Omega
1996;24(4):489–94.
[1482] Green RH, Doyle JR. On maximizing discrimination in multiple criteria decision making. Journal of the Operational Research
Society 1995;46(2):192–204.
[1483] Green RH, Doyle JR. Implementing Data Envelopment Analysis: primal or dual? INFOR 1997;35(1):66–75.
[1484] Green RH, Cook WD. A free (Dis)aggregation hull approach to efficiency measurement. In: Emrouznejad A, Green R,
Krivonozhko V, editors. Efficiency and productivity analysis in the 21st century. International Research in Management Science;
2002.
46
[1485] Green RH, Cook WD. A free coordination hull approach to efficiency measurement. Journal of the Operational Research Society
2004;55(10):1059–63.
[1486] Green RH, Doyle JR, Cook WD. Efficiency bounds in Data Envelopment Analysis. European Journal of Operational Research
1996;89(3):482–90.
[1487] Green RH, Doyle JR, Cook WD. Preference voting and project ranking using DEA and cross-evaluation. European Journal of
[1488] Green RH, Cook W, Doyle J. Note on the additive Data Envelopment Analysis model. Journal of the Operational Research
Society 1997;48(4):446–8.
[1489] Greenberg R, Nunamaker T. A generalized multiple criteria model for control and evaluation of nonprofits organizations.
Financial Accountability and Management 1987;3(4):331–42.
[1490] Greene WH. A gamma-distributed stochastic frontier model. Journal of Econometrics 1990;46:141–63.
[1491] Greene WH. The econometric approach to efficiency analysis. In: Fried HO, Schmidt SS, editors. The measurement of productive
efficiency: techniques and applications, Oxford, UK, 1993. p. 68–119.
[1492] Greer MR. Are the discount airlines actually more efficient than the legacy carriers?: a Data Envelopment Analysis. International
Journal of Transport Economics 2006;33(1):37–55.
[1493] Gregoriou G, Messier J, Sedzro K. Assessing the relative efficiency of credit unionbranches using Data Envelopment Analysis.
INFOR 2004;42(4):281–97.
[1494] Gregoriou GN. Performance appraisal of funds of hedge funds using data evelopment analysis. Journal of Wealth Management
2003;5(4):88.
[1495] Gregoriou GN. Optimisation of the largest US mutual funds using Data Envelopment Analysis. Journal of Asset Management
2006;6(6):445–55.
[1496] Gregoriou GN, Chen Y. Evaluation of commodity trading advisors using fixed and variable and benchmark models. Annals of
[1497] Gregoriou GN, Rouah F, Satchell S, Diz F. Simple and cross efficiency of Ctas using Data Envelopment Analysis. European
Journal of Finance 2005;11(5):393–409.
[1498] Gregoriou GN, Sedzro K, Zhu J. Hedge fund performance appraisal using Data Envelopment Analysis. European Journal of
[1499] Gregory F. Cause, effect, efficiency and soft systems models. Journal of the Operational Research Society 1993;44(4):333–44.
[1500] Gregory G. A multiple-criteria decision model with ranked inputs. IMA Journal of Mathematics Applied in Business and Industry
1995;6(2):249–57.
[1501] Grewal D, Levy M, Mehrotra A, Sharma A. Planning merchandising decisions to account for regional and product assortment
differences. Journal of Retailing 1999;75(3):405–24.
[1502] Grifell-Tatje E, Lovell CAK. A note on the Malmquist productivity index. Economics Letters 1995;4:169–75.
[1503] Grifell-Tatje E, Lovell CAK. Deregulation and productivity decline: the case of Spanish savings banks. European Economic
Review 1995;40:1281–303.
[1504] Grifell-Tatje E, Lovell CAK. A DEA-based analysis of productivity change and intertemporal managerial performance. Annals of
[1505] Grifell-Tatje E, Lovell CAK. The sources of productivity change in Spanish banking. European Journal of Operational Research
1997;98(2):364–80.
[1506] Grifell-Tatje E, Lovell CAK. Profits and productivity. Management Science 1999;45(9):1177–93.
[1507] Grifell-Tatje E, Lovell CAK. Cost and productivity. Managerial and Decision Economics 2000;21(1):19–30.
[1508] Grifell-Tatje E, Lovell CAK, Pastor JT. A quasi-Malmquist productivity index. Journal of Productivity Analysis 1998;10(1):7–20.
[1509] Griffin PM, Kvam PH. A quantile-based approach for relative efficiency measurement. Managerial and Decision Economics
1999;20(8):403–10.
[1510] Grizzle GA. Making government efficient—how much waste can be cut from public programs. International Journal of Public
Administration 1993;1:969–83.
[1511] Groot T, Garcia-Valderrama T. Research quality and efficiency—an analysis of assessments and management issues in Dutch
economics and business research programs. Research Policy 2006;35(9):1362–76.
[1512] Gropper DM, Caudill SB, Beard TR. Estimating multiproduct cost functions over time using a mixture of normals. Journal of
[1513] Grosskopf S. The role of the reference technology in measuring efficiency. Economic Journal 1986;9:499–513.
[1514] Grosskopf S. Economic-efficiency of the organizational decisions of the firm. Journal of Economics-Zeitschrift Fur
Nationalokonomie 1991;5:73–5.
[1515] Grosskopf S. Efficiency and Productivity. In: Fried HO, Schmidt SS, editors. The measurement of productive efficiency: techniques
and applications, Oxford, UK, 1993. p. 160–94.
[1516] Grosskopf S. Measuring cost efficiency in the property-liability insurance industry—the measurement of efficiency in life-insurance,
estimates of a mixed normal gamma error model-x-efficiency in the United States life-insurance industry—comments. Journal of
Banking and Finance 1993;1:511–3.
[1517] Grosskopf S. Statistical inference and nonparametric efficiency: a selective survey. Journal of Productivity Analysis
1996;7(2–3):161–76.
[1518] Grosskopf S. Some remarks on productivity and its decompositions. Journal of Productivity Analysis 2003;20(3):459–74.
47
[1519] Grosskopf S, Moutray C. Evaluating performance in Chicago Public High Schools in the wake of decentralization. Economics of
Education Review 2001;20(1):1–14.
[1520] Grosskopf S, Hayes K. Local public-sector bureaucrats and their input choices. Journal of Urban Economic 1993;3:151–66.
[1521] Grosskopf S, Valdmanis V. Measuring hospital performance. A non-parametric approach. Journal of Health Economics
1987:89–107.
[1522] Grosskopf S, Valdmanis V. Evaluating hospital performance with case-mix-adjusted outputs. Medical Care 1993;3:525–32.
[1523] Grosskopf S, Margaritis D, Valdmanis V. Estimating output substitutability of hospital services—a distance function-approach.
European Journal of Operational Research 1995;8:575–87 PRICE EFFICIENCY.
[1524] Grosskopf S, Margaritis D, Valdmanis V. Comparing teaching and non-teaching hospitals: a frontier approach (teaching vs. nonteaching hospitals). Health Care Management Science 2001;4(2):83–90.
[1525] Grosskopf S, Margaritis D, Valdmanis V. Competitive effects on teaching hospitals. European Journal of Operational Research
2004;154(2):515–25.
[1526] Grosskopf S, Hayes K, Hirschberg J. Fiscal stress and the production of public safety—a distance function-approach. Journal of
Public Economics 1995;5:277–96.
[1527] Grosskopf S, Hayes K, Yaisawarng S. Measuring economies of diversification—a frontier approach. Journal of Business and
Economic Statistics 1992;1:453–9.
[1528] Grosskopf S, Hayes KJ, Taylor LL, Weber WL. Budget-constrained frontier measures of fiscal equality and efficiency in schooling.
Review of Economics and Statistics 1997;79(1):116–24.
[1529] Grosskopf S, Hayes KJ, Taylor LL, Weber WL. Anticipating the consequences of school reform: a new use of DEA. Management
Science 1999;45(4):608–20.
[1530] Grundy BD. Merton H. Miller: his contribution to financial economics. Journal of Finance 2001;56(4):1183–206.
[1531] Grupp H, Hinze S. International orientation, efficiency of and regard for research in east and west-Germany—a bibliometric
investigation of aspects of technology genesis in the United Germany. Scientometrics 1994;2:83–113.
[1532] Grupp H, Maital S, Frenkel A. A data envelopment model to compare technological excellence and export sales in Israel and
European community countries. Research Evaluation 1992;2(2):87–101.
[1533] Gstach D. Comparing structural efficiency of unbalanced subsamples: a resampling adaptation of Data Envelopment Analysis.
Empirical Economics 1995;20(3):531.
[1534] Gstach D. Another approach to Data Envelopment Analysis in noisy environments: DEA. Journal of Productivity Analysis
1998;9(2):161–76.
[1535] Gstach D. Estimating output targets to evaluate output-specific efficiencies: a statistical framework. European Journal of
[1536] Gu B, Thrall RM. Using DEA to improve the management of congestion in Chinese industries (1981–1997). Socio-Economic
[1537] Guan J-C, Wang J-X. Further approach to the sensitivity analysis of DEA and its application. System Engineering Theory and
Practice 2003;23(1):37.
[1538] Guan JC, Yam RCM, Mok CK, Ma N. A study of the relationship between competitiveness and technological innovation
capability based on DEA models. European Journal of Operational Research 2006;170(3):971–86.
[1539] Guan ZF, Lansink AO. The source of productivity growth in Dutch agriculture: a perspective from finance. American Journal of
[1540] Guangfu Z. Evaluating the efficiency of vehicle manufacturing with different products. Annals of Operations Research
1996;66:299–310.
[1541] Guangfu Z. Accurate evaluation and improvement for operational efficiency of transportation systems. In: Proceedings of
innovation in technology management. New York: IEEE; 1997. p. 219.
[1542] Guddat J, Jongen HT, Kummer B, Nozicka FE. Parametric optimisation and related topics. In: Papers from the second
international conferences, 1989.
[1543] Guh Y-Y. Data Envelopment Analysis in fuzzy environment. International Journal of Information and Management Sciences
2001;12(2):51–65.
[1544] Gulledge TR. Book review: applications of modem production theory: efficiency and productivity by Dogramaci and Färe.
Interfaces 1990;2:87–8.
[1545] Gulledge TR, Lovell CAK. International applications of productivity and efficiency analysis. Boston: Kluwer Academic
Publishers; 1992.
[1546] Guo J-P, Wu Y-H, Li W-H. Classification of DMUs by super-efficiency Data Envelopment Analysis model. Journal of Tianjin
University Science and Technology 2003;36(4):522–4.
[1547] Guo J-P, Wu Y-H, Li W-H. Study on feasibility of variable returns-to-scale based super-efficiency Data Envelopment Analysis
model. Journal of Systems Engineering 2003;18(6):511–4.
[1548] Guo J-P, Wu Y-H, Li W-H. Classifying and ranking DMUs in interval DEA. Journal of Harbin Institute of Technology (New
Series) 2005;12(4):405–7.
[1549] Guo P, Tanaka H. Efficiency evaluation models via fuzzy linear programming problems. In: Proceedings of the eighth international
fuzzy systems association world congress, Nat Central University, vol. 1, 1999. p. 505–9.
[1550] Guo P, Tanaka H. Fuzzy DEA: a perceptual evaluation method. Fuzzy Sets and Systems 2001;119(1):149–60.
[1551] Guo P, Tanaka H, Inuiguchi M. Fuzzy Aggregation models for ranking the objects with multiple attributes. In: Proceedings of the
eighth international fuzzy systems association world congress, Nat Central University, vol. 1, 1999. p. 367–71.
48
[1552] Gupta M, Goyal R, Taneja P. R&D project selection: a new approach using preference voting and Data Envelopment Analysis
(DEA). In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 292.
[1553] Gurgen E, Norsworthy JR. Efficiency and stock market performance in electric power generating companies. In: Proceedings of
IEEE international engineering management conference, Institute of Electrical and Electronics Engineers, Inc., 2001. p. 412–20.
[1554] Gutiarrez-Nieto B, Serrano-Cinca C, Mar Molinero C. Microfinance institutions and efficiency. Omega 2007;35(2):131–42.
[1555] Guzowska M, Kisielewska M, Nellis Joseph G, Zarzecki D. Efficiency of the Polish banking sector—assessing the impact of
transformation. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 161.
[1556] Gwo-Hshiung T, Hua-Kai C, Wen-Han T. IDEA with FMOP method for evaluating the performance of R&D projects in Taiwan.
In: Proceedings of the world automation congress, vol. 17. New York: IEEE; 2004. p. 341–4.
[1557] Gyimah-Brempong K, Gyapong AO. Characteristics of education production functions: an application of canonical regression
analysis. Economics of Education Review 1991;10:7–17.
[1558] Haag S. Efficient provision of child quality of life in less developed countries: conventional development indexes versus a
programming approach to development indexes. Socio-Economic Planning Sciences 2000;34(1):51–67.
[1559] Haag S, Jaska P, Semple J. Assessing the relative efficiency of agricultural production units in the Black Land Prairie, Texas.
[1560] Haag S, Jaska PV, Semple JH. Assessing the relative efficiency of agricultural production units. Applied Economics
1992;24(5):559–65.
[1561] Haag SE, Jaska PV. Interpreting inefficiency ratings: an application of bank branch operating efficiencies. Managerial and
Decision Economics 1995;16(1):7–14.
[1562] Haas D, Kocher MG, Sutter M. Measuring efficiency of German football teams by Data Envelopment Analysis. Central European
[1563] Haas DA, Murphy FH. Compensating for non-homogeneity in decision-making units in Data Envelopment Analysis. European
[1564] Haas DA, Murphy FH, Lancioni RA. Managing reverse logistics channels with Data Envelopment Analysis. Transportation
Journal 2003;42(3):59–69.
[1565] Hackman ST. An axiomatic framework of dynamic production. Journal of Productivity Analysis 1990;1(4):309–24.
[1566] Hackman ST, Frazelle EH, Griffin PM, Griffin SO, Vlasta DA. Benchmarking warehousing and distribution operations: an
input–output approach. Journal of Productivity Analysis 2001;16(1):79–100.
[1567] Hadad Y, Friedman L, Hadad Y. Common weights for ranking in the DEA context. Communications in Dependability and
Quality Management 2002;5:43–55.
[1568] Hadad Y, Friedman L, Sinuany-Stern Z, Mehrez A. DEA super efficiency multistage ranking. Computer Modelling and New
Technologies 2003;7(1).
[1569] Hadad Y, Sinuany-Stern Z, Mehrez A. Effect of variations on efficiency of decision-making units with respect to output, output
estimated by production functions, and output differences. Central European Journal of Operational Research 2003;11(4):351–67.
[1570] Hadley L, Ruggiero J. Final-offer arbitration in major league baseball: a nonparametric analysis. Annals of Operations Research
2006;145:201–9.
[1571] Haghighat MS, Khorram E. The maximum and minimum number of efficient units in DEA with interval data. Applied
[1572] Hailu A, Veeman TS. Environmentally sensitive productivity analysis of the Canadian pulp and paper industry, 1959–1994: an
input distance function approach. Journal of Environmental Economics and Management 2000;40(3):251–74.
[1573] Hailu A, Veeman TS. Alternative methods for environmentally adjusted productivity analysis. Agricultural Economics 2001;25(23):211–8.
[1574] Hailu A, Veeman TS. Non-parametric productivity analysis with undesirable outputs: an application to the Canadian pulp and
paper industry. American Journal of Agricultural Economics 2001;83(3):605–16.
[1575] Hailu A, Veeman TS. Comparative analysis of efficiency and productivity growth in Canadian regional boreal logging industries.
Canadian Journal of Forest Research 2003;33(9):1653–60.
[1576] Haji J. Production efficiency of smallholders’ vegetable-dominated mixed farming system in eastern Ethiopia: a non-parametric
approach. Journal of African Economics 2007;16(1):1–27.
[1577] Haksever C. Data Envelopment Analysis—foreword. Computer and Operations Research 1996;23(4):7–8.
[1578] Haksever C, Luke RD. Ownership and organizational performance. A comparison of technical efficiency across hospital types.
Medical Care 1992;30(9):781–94.
[1579] Haksever C, Muragishi Y. Measuring value in MBA programmes. Education Economics 1998;6(1):11.
[1580] Hal F, Lovell CA, Schmidt SS. The measurement of productive efficiency and productivity growth. Oxford: Oxford University
Press; 2007.
[1581] Halkos GE, Salamouris DS. Efficiency measurement of the Greek commercial banks with the use of financial ratios: a Data
Envelopment Analysis approach. Management Accounting Research 2004;15(2):201–24.
[1582] Hall JR, Millen RN, Winer RS, Dale C, Martinich JS. Applications reviews. Interfaces 1987;17(4):112–4.
[1583] Hall P, Park BU. New methods for bias correction at endpoints and boundaries. Annals of Statistics 2002;30(5):1460–79.
[1584] Hall P, Simar L. Iterated bootstrap with applications to frontier models. Journal of Productivity Analysis 1995;6(1):63–76.
[1585] Hall P, Simar L. Estimating a change point, boundary, or frontier in the presence of observation error. Journal of the American
Statistical Association 2002;97(458):523.
49
[1586] Halme M, Korhonen P. Using lexicrographic parametric programming for searching a nondominated set in multiple objective
linear programming. Journal of Multi-Criteria Decision Analysis 1996;5:291–300.
[1587] Halme M, Korhonen P. Restricting weights in value efficiency analysis. European Journal of Operational Research
2000;126(1):175–88.
[1588] Halme M, Joro T, Koivu M. Dealing with interval scale data in Data Envelopment Analysis. European Journal of Operational
Research 2002;137(1):22–7.
[1589] Halme M, Joro T, Korhonen P, Salo S, Wallenius J. A value efficiency approach to incorporating preference information in Data
Envelopment Analysis. In: Proceedings of innovation in technology management. New York: IEEE; 1997. p. 800.
[1590] Halme M, Joro T, Korhonen P, Salo S, Wallenius J. Value efficiency approach to incorporating preference information in Data
Envelopment Analysis. Management Science 1999;45(1):103–14.
[1591] Halsteinli V, Kittelsen SA, Magnussen J. Productivity growth in Norwegian psychiatric outpatient clinics for children and youths.
Journal of Mental Health Policy and Economics 2005;8(183–91).
[1592] Halsteinli V, Kittelsen SA, Magnussen J. Scale, efficiency and organization in Norwegian psychiatric outpatient clinics for children.
Journal of Mental Health Policy and Economics 2001;4(2):79–90.
[1593] Hammond CJ. Efficiency in the provision of public services: a Data Envelopment Analysis of UK public library systems. Applied
Economics 2002;34(5):649–57.
[1594] Hammond CJ, Johnes G, Robinson T. Technical efficiency under alternative regulatory regimes: evidence from the Intra-War
British gas industry. Journal of Regulatory Economics 2002;22(3):251–70.
[1595] Han Kook H, Sung Ho H, Chung Kwan S, Sang Chan P, Soung Hie K. Evaluating the efficiency of system integration projects
using Data Envelopment Analysis (DEA) and machine learning. Expert Systems with Applications 1999;16(3):283–96.
[1596] Han S, Wei Q-L. Nonparametric DEA models for resource allocation. System Engineering Theory and Practice 2002;22(7):59.
[1597] Hand N, White L. Banking on efficiency. OR Insight 1996;9(4):28–32.
[1598] Hansson P, Henrekson M. A new framework for testing the effect of government spending on growth and productivity. Public
Choice 1994;8:381–401.
[1599] Hanushek EA. Conceptual and empirical issues in the estimation of educational production functions. Journal of Human
Resources 1979;14:351–88.
[1600] Hanushek EA. The economics of schooling: production and efficiency in public schools. Journal of Economic Literature
1986;24:1141–77.
[1601] Hao G, Wei Q, Yan H. A game theoretical model of DEA efficiency. Journal of the Operational Research Society
2000;51(11):1319–29.
[1602] Hao H, Gu P-L, Yin C-H. The parameter Data Envelopment Analysis model based on CCR. Systems Engineering and Electronics
2003;25(8):949–88.
[1603] Hao SHS, Pegels CC. Evaluating relative efficiencies of veterans affairs medical-centersusing data envelopment, ratio, and multipleregression analysis. Journal of Medical Systems 1994;1:55–67.
[1604] Harel E, Boaz G, Avraham S. Constructing and evaluating balanced portfolios of R&D projects with interactions: a DEA based
methodology. European Journal of Operational Research 2006;172(3):1018.
[1605] Harris II J, Ozgen H, Ozcan Y. Do mergers enhance the performance of hospital efficiency? Journal of the Operational Research
Society 2000;51(7):801–11.
[1606] Harris R, Laidler D, Nakamura A. A biographical sketch of Walter Erwin Diewert. Canadian Journal of Economics-Revue
1996;29:S677–95.
[1607] Harrison JP, Sexton C. The improving efficiency frontier of religious not-for-profit hospitals. Hospital Topics 2006;84(1):2–10.
[1608] Harrison JP, Ogniewski RJ. An efficiency analysis of veterans health administration hospitals. Military Medicine
2005;170(7):607–11.
[1609] Harrison JP, Coppola MN, Wakefield M. Efficiency of federal hospitals in the US. Journal of Medical Systems 2004;28(5):411–22.
[1610] Hartman TE, Storbeck JE. Input congestion in loan operations. International Journal of Production Economics
1996;46–47:413–21.
[1611] Hartman TE, Storbeck JE, Byrnes P. Allocative efficiency in branch banking. European Journal of Operational Research
2001;134(2):232–42.
[1612] Hashimoto A. DEA evaluation of baseball batters. Operations Research: Communications of Operations Research Society of
Japan 1993;38(3):146–53.
[1613] Hashimoto A. A DEA selection system for selective examinations. Journal of Operations Research Society of Japan
1996;39(4):475–85.
[1614] Hashimoto A. A ranked voting system using a DEA/AR exclusion model: a note. European Journal of Operational Research
1997;97(3):600–4.
[1615] Hashimoto A. Using the exclusion model for DEA computation. Journal of Operations Research Society of Japan
1998;41(4):531–7.
[1616] Hashimoto A, Wu D. A DEA-compromise programming model for comprehensive ranking. Journal of Operations Research
Society of Japan 2004;47(2):73–81.
[1617] Hashimoto A, Ishikawa H. Using DEA to evaluate the state of society as measured by multiple social indicators. Socio-Economic
[1618] Hashimoto A, Kodama M. Has livability of Japan gotten better for 1956–1990? A DEA approach. Social Indicators Research
1997;40(3):359–73.
50
[1619] Haslem JA, Scheraga CA. DEA efficiency profiles of US banks operating internationally. International Review of Economics and
Finance 1999;8(2):165.
[1620] Haslem JA, Scheraga CA. Data Envelopment Analysis of Morningstar’s large-cap mutual funds. Journal of Investing
2003;12(4):41–8.
[1621] Hatch ML, Noble CD, Wooton SS. College ranking—you be the judge. In: Proceedings of 33rd annual meeting of the Decision
Sciences Institute. Decision Sciences Institute, 2002. p. 6.
[1622] Hattori T, Jamasb T, Pollitt M. Electricity distribution in the UK and Japan: a comparative efficiency analysis 1985–1998. Energy
Journal 2005;26(2):23–47.
[1623] Hauner D. Explaining efficiency differences among large German and Austrian banks. Applied Economics 2005;37(9):969–80.
[1624] Hausman JA, Newey WK. Nonparametric estimation of exact consumers—surplus and deadweightloss. Econometrica
1995;6:1445–76.
[1625] Havrylchyk O. Efficiency of the Polish banking industry: foreign versus domestic banks. Journal of Banking and Finance
2006;30(7):1975–96.
[1626] Hawdon D. Efficiency, performance and regulation of the international gas industry—a bootstrap DEA approach. Energy Policy
2003;31(11):1167–78.
[1627] Hayes RD, Millar JA. A rejoinder to measuring production efficiency in a not-for-profit setting: an extension. Accounting Review
1993;6:89–92.
[1628] Haynes KE, Cummings-Saxton J. Toward a pollution abatement monitoring policy: measurements, model mechanics, and data
requirements. Environmental Professional 1994;16:292–303.
[1629] Haynes KE, Philogene GS, Dinc M. The relative efficiency of the general clinical research centres—an application of Data
Envelopment Analysis to medical research infrastructure. International Journal of Healthcare Technology and Management
2000;2(5–6):403–24.
[1630] Haynes KE, Stough RR, Shroff HFE. New methodology in context—Data Envelopment Analysis. Computers Environment and
Urban Systems 1990;1:85–7.
[1631] Hazlina AK, Habibullah MS, Radam A, Azali M. An analysis of technical progress and efficiency in Malaysian finance companies.
ICFAI Journal of Industrial Economics 2005;2(4):6–19.
[1632] He J, Wu W. Theorems on DEA efficiency and its application in sensitivity analysis. System Engineering Theory and Practice
1997;17(8):14–9.
[1633] He Z, Xiu L, Wenhuang L. An AHP/DEA methodology for 3pl vendor selection in 4pl. in: Proceedings of computer supported
cooperative work in design, vol. 2. Berlin: Springer; 2006. p. 646–55.
[1634] Hean Tat K, Singfat C. Retail productivity and scale economies at the firm level: a DEA approach. Omega 2003;31(2):75–82.
[1635] Heffernan J. Efficiency considerations in the social welfare agency. Administration in Social Work 1991;15.
[1636] Helfand SM, Levine ES. Farm size and the determinants of productive efficiency in the Brazilian center-west. Agricultural
Economics 2004;31(2–3):241–9.
[1637] Helmig B, Lapsley I. On the efficiency of public, welfare and private hospitals in Germany over time: a sectoral Data Envelopment
Analysis study. Health Services Management Research 2001;14(4):263–74.
[1638] Helvoigt TL, Grosskopf S. Productivity growth, technical efficiency, and returns to scale in the Washington State Sawmill industry.
International Journal of Information Technology and Decision 2005;4(3):477–90.
[1639] Hermalin BE, Wallace NE. The determinants of efficiency and solvency in savings and loans. Rand Journal of Economics
1994;2:361–81.
[1640] Herrero I. Risk and strategy of fishers alternatively exploiting sea bream and Tuna in the Gibraltar Strait from an efficiency
perspective. ICES Journal of Marine Science 2004;61(2):211–7.
[1641] Herrero I. Different approaches to efficiency analysis. An application to the Spanish trawl fleet operating in Moroccan waters.
[1642] Herrero I, Salmeron JL. Using the DEA methodology to rank software technical efficiency. Communications of the ACM
2005;48(1):101–5.
[1643] Herrero I, Pascoe S. Value versus volume in the catch of the Spanish South-Atlantic trawl fishery. Journal of Agricultural
Economics 2003;54(2):325–41.
[1644] Herrero I, Pascoe S. Analysing the effect of technical change on individual outputs using modified quasi-Malmquist indexes.
[1645] Herrero I, Pascoe S, Mardle S. Mix efficiency in a multi-species fishery. Journal of Productivity Analysis 2006;25(3):231–41.
[1646] Heshmati A. Productivity growth, efficiency and outsourcing in manufacturing and service industries. Journal of Economic Survey
2003;17(1):79–112.
[1647] Hibiki N. Evaluation techniques with a modified cross-efficiency in DEA. Journal of Operations Research Society of Japan
1998;41(2):229–45.
[1648] Hibiki N, Sueyoshi T. DEA sensitivity analysis by changing a reference set: regional contribution to Japanese industrial
development. Omega 1999;27(2):139–53.
[1649] Hidenori I, Fukuda T. Individuality of agent with emotional algorithm. In: Proceedings 2001 IEEE/RSJ international conference
on intelligent robots and systems, vol. 2. New York: IEEE; 2001. p. 1195–200.
[1650] Hildenbrand K. Numerical computation of short-run production functions. In: Shephard RW, Henn R, Neumann K, editors.
Quantitative studies on production and prices. Physics-Verlag; 1983. p. 173–80.
51
[1651] Hirschberg JG. Bootstrapping confidence intervals for linear programming efficiency scores: with an illustration using Italian
banking data. Journal of Productivity Analysis 1997;8(1):19–33.
[1652] Hirschberg JG. Can we bootstrap DEA scores? Journal of Productivity Analysis 1999;11(1):81–92.
[1653] Hitt LM, Brynjolfsson E. Productivity, business profitability, and consumer surplus: three different measures of information
technology value. MIS Quarterly 1996;20(2):121–42.
[1654] Hjalmarsson L, Veiderpass A. Efficiency and ownership in Swedish electricity retail distribution. In: Gulledge TR, Lovell CAK,
editors. International applications of productivity and efficiency analysis, 1992.
[1655] Hjalmarsson L, Veiderpass A. Productivity in Swedish electricity retail distribution. Scandinavian Journal of Economics 1992;9.
193–S 205.
[1656] Hjalmarsson L, Forsund FR. Productivity in electricity generation in developing countries: an international comparison of far
eastern power production. In: Proceedings of the international conference on energy and environment. New York, USA: Icee,
Begell House, Inc., 1996. p. 163–75.
[1657] Hjalmarsson L, Odeck J. Efficiency of trucks in road construction and maintenance—an evaluation with Data Envelopment
Analysis. Computer and Operations Research 1996;2:393–404.
[1658] Hjalmarsson L, Kumbhakar SC, Heshmati A. DEA, DFA and SFA: a comparison. Journal of Productivity Analysis
1996;7(2–3):303–27.
[1659] Hof J, Flather C, Baltic T, King R. Forest and rangeland ecosystem condition indicators: identifying national areas of opportunity
using Data Envelopment Analysis. Forest Science 2004;50(4):473–94.
[1660] Hoff A. Bootstrapping Malmquist indices for Danish Seiners in the North Sea and Skagerrak. Journal of Applied Statistics
2006;33(9):891–907.
[1661] Hofmarcher MM, Lietz C, Schnabl A. Inefficiency in Austrian inpatient care: identifying ailing providers based on DEA results.
Central European Journal of Operational Research 2005;13(4):341–63.
[1662] Hofmarcher MM, Paterson I, Riedel M. Measuring hospital efficiency in Austria—a DEA approach. Health Care Management
Science 2002;5(1):7–14.
[1663] Hokey M, Seong Jong J. Benchmarking the operational efficiency of third party logistics providers using Data Envelopment
Analysis. Supply Chain Management 2006;11(3):259–65.
[1664] Hokey M, Byung-ln P. Evaluating the inter-temporal efficiency trends of international container terminals using Data
Envelopment Analysis. International Journal of Integrated Supply Management 2005;1(3):258–77.
[1665] Holland DS, Lee ST. Impacts of random noise and specification on estimates of capacity derived from Data Envelopment Analysis.
[1666] Hollingsworth B. A review of Data Envelopment Analysis software. Economic Journal 1997;107(443):1268–70.
[1667] Hollingsworth B. Demand uncertainty in hospitals. Operations Research Newsletter 1997;324:4.
[1668] Hollingsworth B. Measuring productive efficiency of acute hospitals in Scotland, 1991–1994: validity issues in Data Envelopment
Analysis. Applied Economics 1997;29(11):1425–38.
[1669] Hollingsworth B. Data Envelopment Analysis and productivity analysis: a review of the options. Economic Journal
1999;109(456):458–62.
[1670] Hollingsworth B. Non-parametric and parametric applications measuring efficiency in health care. Health Care Management
Science 2003;6(4):203–18.
[1671] Hollingsworth B. Non parametric efficiency measurement. Economic Journal 2004;114(496):F307–11.
[1672] Hollingsworth B, Parkin D. The efficiency of Scottish acute hospitals—an application of Data Envelopment Analysis. IMA
Journal of Mathematics Applied in Medicine and Biology 1995;1:161–73.
[1673] Hollingsworth B, Parkin D. The efficiency of the delivery of neonatal care in the UK. Journal of Public Health Medicine
2001;23(1):47–50.
[1674] Hollingsworth B, Parkin D. Efficiency and productivity change in the English National Health Service: can Data Envelopment
Analysis provide a robust and useful measure? Journal of Health Services and Research Policy 2003;8(4):230–6.
[1675] Hollingsworth B, Wildman J. The efficiency of health production: re-estimating the who panel data using parametric and nonparametric approaches to provide additional information. Health Economics 2003;12(6):493–504.
[1676] Hollingsworth B, Maniadakis N. Efficiency measurement of health care: a review of non-parametric methods and applications.
[1677] Hollingsworth B, Smith P. Use of ratios in Data Envelopment Analysis. Applied Economics Letters 2003;10(11):733.
[1678] Hollingsworth B, Harris A, Gospodarevskaya E. The efficiency of immunization of infants by local government. Applied
Economics 2002;34(18):2341–5.
[1679] Hollingsworth B, Maniadakis N, Thanassoulis E. Efficiency. Measured Response. Health Service Journal 1999;109(5682):28–9.
[1680] Holmer MR, Zenios SA. The productivity of financial intermediation and the technology of financial product management.
Operations Research 1995;43(6):970–82.
[1681] Holvad T, Hougaard JL, Kronborg D, Kvist HK. Measuring inefficiency in the Norwegian bus industry using multi-directional
efficiency analysis. Transportation 2004;31(3):349–69.
[1682] Homburg C. Using Data Envelopment Analysis to benchmark activities. International Journal of Production Economics
2001;73(1):51–8.
[1683] Homburg C. Using relative profits as an alternative to activity-based costing. International Journal of Production Economics
2005;95(3):387–97.
52
[1684] Hong L, Ling Y, Cheng EWL. A GIS-based site selection system for real estate projects. Construction Innovation
2005;5(4):231–41.
[1685] Hong Y, Quanling W. A method of transferring cones of intersection form to cones of sum form and its applications in Data
Envelopment Analysis models. International Journal of Systems Science 2000;31(5):629–38.
[1686] Hooper PG, Hensher DA. Measuring total factor productivity of airports-an index number approach. Transportation Research
Part E: Logistics and Transportation Review 1997;33(4):249–59.
[1687] Hoopes BJ, Triantis KP. Efficiency performance, control charts, and process improvement: complementary measurement and
evaluation. IEEE Transactions on Engineering Management 2001;48(2):239–53.
[1688] Horncastle A, Jevons D, Dudley P, Thanassoulis E. Efficinecy analysis of delivery offices in the postal sector using stochastic
frontier and Data Envelopment Analysis. In: Kleindorfer CM, editor. Advances in regulatory economics: liberalization of the
postal and delivery sector. Cheltenham, UK: Edward Elgar Publisher; 2006.
[1689] Horrace WC, Schmidt P. Confidence statements for efficiency estimates from stochastic frontier models. Journal of Productivity
Analysis 1996;7:257–82.
[1690] Horrace WC, Schmidt P. Multiple comparisons with the best, with economic application. Journal of Applied Econometrics
2000;15:1–26.
[1691] Horsky D, Nelson P. Evaluation of sales force size and productivity through efficient frontier benchmarking. Marketing Science
1996;15(4):301–20.
[1692] Horsky D, Nelson P. Testing the statistical significance of linear programming estimators. Management Science 2006;52(1):128–35.
[1693] Hotes RW. Development of a program for evaluating training outputs using a Data Envelopment Analysis approach. In:
Proceedings of sixth annual conference on interactive instruction delivery and third annual conference on learning technology in
the health care sciences, Society of Applied Learning Technology 1988. p. 78–84.
[1694] Hou F-H, Zhang Z-X, Liu Q-Z. Application of DEA method with preference in petroleum enterprises evaluation. Industrial
Engineering Journal 2001;4(2):53–7.
[1695] Hougaard JL. Efficiency evaluations based on potential (non-proportional) improvements. Journal of Productivity Analysis
1999;12(3):233–47.
[1696] Hougaard JL. Fuzzy scores of technical efficiency. European Journal of Operational Research 1999;115(3):529–41.
[1697] Hougaard JL. A simple approximation of productivity scores of fuzzy production plans. Fuzzy Sets and Systems
2005;152(3):455–65.
[1698] Hougaard JL, Keiding H. On the functional form of an efficiency index. Journal of Productivity Analysis 1998;9(2):103–11.
[1699] Hougaard JL, Tvede M. Benchmark selection: an axiomatic approach. European Journal of Operational Research
2002;137(1):218–28.
[1700] Hougaard JL, Kronborg D, OvergÃfrd C. Improvement potential in Danish elderly care. Health Care Management Science
2004;7(3):225–35.
[1701] Houghton J, George A. International comparisons of Australia’s infrastructure performance. Journal of Productivity Analysis
1997;8(4):361–78.
[1702] Howard LW, Miller JL. Fair pay for fair play: estimating pay equity in professional baseball with Data Envelopment Analysis.
Academy of Management Journal 1993;36(4):882–94.
[1703] Howcroft B, Ataullah A. Total factor productivity change: an examination of the commercial banking industry in India and
Pakistan. Service Industries Journal 2006;26(2):189–202.
[1704] Howland M, Rowse J. Measuring bank branch efficiency using Data Envelopment Analysis: managerial and implementation
issues. INFOR 2006;44(1):49–63.
[1705] Hseu JS, Buongiorno J. Producer behavior and technology in the pulp and paper industries of the United States and Canada-—a
nonparametric analysis. Forest Science 1995;4:140–56.
[1706] Hseu JS, Shang JK. Productivity changes of pulp and paper industry in OECD countries, 1991–2000: a non-parametric Malmquist
approach. Forest Policy and Economics 2005;7(3):411–22.
[1707] Hsien-Chang K. Services technology, strategy, and performance: introduction to a special issue on financial institutions in the
global economy. International Journal of Services Technology and Management 2005;6(6):523–43.
[1708] Hsi-Hui C. Determinants of hospital efficiency: the case of central government-owned hospitals in Taiwan. Omega
1998;26(2):307–17.
[1709] Hu C-C, Li H-L. A company performance measurement by ROIC and DEA—an example of Taiwan IC design house. Journal of
Chinese Institute of Industrial Engineers 2004;21(4):369–83.
[1710] Hu H, Zhu J. The treatment of non-zero slacks in Data Envelopment Analysis. Journal of Systems Engineering and Electronics
1997;8(1):46–50.
[1711] Hu JL. Efficient air pollution abatement for regions in China. International Journal for Sustainable Development and World
2006;13(4):327–40.
[1712] Hu JL, Kao CH. Efficient energy-saving targets for APEC economies. Energy Policy 2007;35(1):373–82.
[1713] Hu JL, Wang SC. Total-factor energy efficiency of regions in China. Energy Policy 2006;34(17):3206–17.
[1714] Hu JL, Sheu HJ, Lo SF. Under the shadow of Asian brown clouds: unbalanced regional productivities in China and environmental
concerns. International Journal for Sustainable Development and World 2005;12(4):429–42.
[1715] Hu JY, Feng YJ. Binary relative evaluation of construction enterprise performance. Journal of Harbin Institute of Technology
2003;35(7):799–801.
53
[1716] Hua ZS, Bian YW, Liang L. Eco-efficiency analysis of paper mills along the Huai river: an extended DEA approach. Omega
2007;35(5):578–87.
[1717] Hua-Kai C, Yu-Yuan T, Gwo-Hshiung T. Fuzzy Multiple objective programming for performance evaluation of public sectors in
Taiwan. In: Proceedings of international conference on system, man and cybernetics, vol. 4. New York: IEEE; 2005. p. 3742–6.
[1718] Huang CJ, Fu T-T. An average derivative estimation of stochastic frontiers. Journal of Productivity Analysis 1999;12(1):45–53.
[1719] Huang YG. An application of Data Envelopment Analysis: measuring the relative performance of Florida general hospitals.
Journal of Medical Systems 1990;14(4):191–6.
[1720] Huang YG, McLaughlin CP. Relative efficiency in rural primary health care: an application of Data Envelopment Analysis. Health
Services Research 1989;24(2):143–58.
[1721] Huang YG-A. Using mathematical programming to assess the relative performance of the health care industry. Journal of Medical
Systems 1989;1:155–62.
[1722] Huang Z, Li SX, Rousseau JJ. Determining rates of change in Data Envelopment Analysis. Journal of the Operational Research
Society 1997;48(6):591–9.
[1723] Huang ZM, Cheung WM, Wang HW. Cone dominance and efficiency in DEA. Annals of Operations Research 2006;145:89–103.
[1724] Hughes A, Yaisawarng S. Sensitivity and dimensionality tests of DEA efficiency scores. European Journal of Operational Research
2004;154(2):410–22.
[1725] Hunsucker JL, Shah JR. Comparative performance analysis of priority rules in a constrained flow shop with multiple processors
environment. European Journal of Operational Research 1994;72(1):102–14.
[1726] Hunter WC, Timme SG. Technical change, organizational form, and the structure of bank productivity. Journal of Money, Credit
and Banking 1986;18:152–66.
[1727] Hunter WC, Timme SG. Core deposits and physical capital: a reexamination of bank scale economies and efficiency with quasifixed inputs. Journal of Money, Credit and Banking 1995;27(1):165–85.
[1728] Hunt-McCool JC, Warren JRS. Earnings frontiers and labor market efficiency. In: Fried HO, Schmidt SS, editors. The
measurement of productive efficiency: techniques and applications, Oxford, UK, 1993. p. 197–209.
[1729] Husain N, Abdullah M, Kuman S. Evaluating public sector efficiency with Data Envelopment Analysis (DEA): a case study in
road transport department, Selangor, Malaysia. Total Quality Management 2000;11(4/5/6):830.
[1730] Hutchison DW, Stehlik MJ. Interpreting combat simulation results using Data Envelopment Analysis. In: Proceedings of the 1997
summer computer simulation conference simulation and modeling technology for the 21st century, SCSI, 1997. p. 818–23.
[1731] Hwang JH, Park BU, Ryu W. Limit theorems for boundary function estimators. Statistics and Probability Letters
2002;59(4):353–60.
[1732] Hwang S-N, Chang T-Y. Using Data Envelopment Analysis to measure hotel managerial efficiency change in Taiwan. Tourism
Management 2003;24(4):357.
[1733] Hz JS, Buongiorno J. Productivity in the pulp and paper industries of the United States and Canada—a nonparametric analysis.
Canadian Journal of Forest Research 1994;2:2353–61.
[1734] Illueca M, Lafuente JA. Productivity and scale effect in closely related firms—evidence from the Spanish tile sector. International
Small Business Journal 2003;21(2):161–80.
[1735] Inazumi H, Suzuki KI, Kusumoto K. New scheme of case-based decision support systems by using DEA and GA techniques. In:
Proceedings of the IEEE international conference on systems, man and cybernetics, vol. 3. USA: Institute of Electrical and
Electronics Engineers, Inc.; 1999. p. 1036–41.
[1736] Inglada V, Rey B, Rodriguez-Alvarez A, Coto-Millan P. Liberalisation and efficiency in international air transport. Transportation
Research Part A: Policy and Practice 2006;40(2):95–105.
[1737] Inman L, Anderson TR, Harmon R. Improving time to market forecasts: a comparison of two technology forecasting techniques
for predicting US fighter jet introductions from 1944 to 1982. In: Technology management: a unifying discipline for melting the
boundaries. New York: IEEE; 2005. p. 533–7.
[1738] Inman OL, Anderson TR, Harmon RR. Predicting US jet fighter aircraft introductions from 1944 to 1982: a dogfight between
regression and T.F.DEA. Technological Forecasting and Social Change 2006;73(9):1178–87.
[1739] Inuiguchi M, Tanino T. Data Envelopment Analysis with fuzzy input–output data. Lecture Notes in Economic and Mathematics
2000;487:296–307.
[1740] Iraizoz B, Rapun M, Zabaleta I. Assessing the technical efficiency of horticultural production in Navarra, Spain. Agricultural
Systems 2003;78(3):387–403.
[1741] Ishihara H, Fukuda T. Distributed Control of multiple agents by emotional algorithm. In: Proceedings of the 2002 IEEE
international symposium on intelligent control. New York: IEEE; 2002. p. 666–71.
[1742] Isik I, Hassan MK. Technical, scale and allocative efficiencies of Turkish banking industry. Journal of Banking and Finance
2002;26(4):719–66.
[1743] Isik I, Hassan MK. Financial deregulation and total factor productivity change: an empirical study of Turkish commercial banks.
Journal of Banking and Finance 2003;27(8):1455–85.
[1744] Isik I, Hassan MK. Financial disruption and bank productivity: the 1994 experience of Turkish banks. Quarterly Review of
Economics and Finance 2003;43(2):291.
[1745] Islei G, Lockett G, Cox B, Gisbourne S, Stratford M. Modelling strategic decision making and performance measurement at I.C.I.
pharmaceuticals. Interfaces 1991;21(6):4–22.
[1746] Ismail M. A DEA analysis of bank performance in Malaysia. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004,
54
[1747] Ito R, Namatame T, Yamaguchi T. Resource allocation problem based on the DEA model. Journal of Operations Research
[1748] Itoh H. Effeciency changes at major container ports in Japan: a window application of Data Envelopment Analysis. Review of
Urban and Regional Development Studies 2002;14(2):133–52.
[1749] Ivaldi M, Monier-Dilhan S, Simioni M. Stochastic production frontiers and panel data: a latent variable framework. European
[1750] Jablonsky J. Models for efficiency evaluation of decision making units. Politicka Ekonomie 2004;52(2):206–20.
[1751] Jablonsky J. An interval AHP model for efficiency Evaluation of production units. In: Proceedings of the eighth international
symposium on operational research, Slovenian Society Informatika, 2005. p. 323–9.
[1752] Jablonsky J, Fiala P, Smirlis Y, Despotis DK. DEA with interval data: an illustration using the evaluation of branches of a Czech
bank. Central European Journal of Operational Research 2004;12(4):323–37.
[1753] Jacobs R. Alternative methods to examine hospital efficiency: Data Envelopment Analysis and stochastic frontier analysis. Health
Care Management Science 2001;4(2):103–15.
[1754] Jaenicke EC. Testing for intermediate outputs in dynamic DEA models: accounting for soil capital in rotational crop production
and productivity measures. Journal of Productivity Analysis 2000;14(3):247–66.
[1755] Jaenicke EC, Lengnick LL. A soil-quality index and TTS relationship to efficiency and productivity growth measures two
decompositions. American Journal of Agricultural Economics 1999;81(4):881–93.
[1756] Jaforullah M, Whiteman J. Scale efficiency in the New Zealand dairy industry: a non-parametric approach. Australian Journal of
[1757] Jagannathan R. An algorithm for a class of nonconvex programming problems with non-linear fractional objectives. Management
Science 1985;3:847–51.
[1758] Jahanshahloo G, Amirteimoori A, Kordrostami S. Determining an equitable allocation of new input and output using Data
Envelopment Analysis. Journal of Operations Research Society of Japan 2003;46(1):66–73.
[1759] Jahanshahloo GR, Foroughi AA. Efficiency analysis, generating an efficient extreme point for a Molp, and some comparisons.
Applied Mathematics and Computation 2005;162(2):991–1005.
[1760] Jahanshahloo GR, Afzalinejad M. A ranking method based on a full-inefficient frontier. Applied Mathematical Modelling
2006;30(3):248–60.
[1761] Jahanshahloo GR, Khodabakhshi M. Using input–output orientation model for determining most productive scale size in DEA.
Applied Mathematics and Computation 2003;146(2–3):849–55.
[1762] Jahanshahloo GR, Khodabakhshi M. Determining assurance interval for non-Archimedean element in the improving outputs
model in DEA. Applied Mathematics and Computation 2004;151(2):501–6.
[1763] Jahanshahloo GR, Khodabakhshi M. Suitable combination of inputs for improving outputs in DEA with determining input
congestion considering textile industry of China. Applied Mathematics and Computation 2004;151(1):263–73.
[1764] Jahanshahloo GR, Soleimani-Damaneh M. Estimating returns to scale in Data Envelopment Analysis: a new procedure. Applied
[1765] Jahanshahloo GR, Soleimani-Damaneh M. A note on simulating weights restrictions in DEA: an improvement of Thanassoulis
and Allen’s method. Computer and Operations Research 2005;32(4):1037–44.
[1766] Jahanshahloo GR, Memariani A, Hosseinzadeh F, Shoja N. A feasible interval for weights in Data Envelopment Analysis. Applied
[1767] Jahanshahloo GR, Memariani A, Lotfi FH, Rezai HZ. A note on some of DEA models and finding efficiency and complete
ranking using common set of weights. Applied Mathematics and Computation 2005;166(2):265–81.
[1768] Jahanshahloo GR, Vencheh AH, Foroughi AA, Matin RK. Inputs/outputs estimation in DEA when some factors are undesirable.
[1769] Jahanshahloo GR, Amirteimoori AR, Kordrostami S. Measuring the multi-component efficiency with shared inputs and outputs in
Data Envelopment Analysis. Applied Mathematics and Computation 2004;155(1):283–93.
[1770] Jahanshahloo GR, Amirteimoori AR, Kordrostami S. Multi-component performance, progress and regress measurement and
shared inputs and outputs in DEA for panel data: an application in commercial bank branches. Applied Mathematics and
Computation 2004;151(1):1–16.
[1771] Jahanshahloo GR, Hosseinzadeh Lotfi F, Moradi M. A D.B.A. approach for fair allocation of common revenue. Applied
[1772] Jahanshahloo GR, Hosseinzadeh Lotfi F, Shoja N, Tohidi G. A method for finding efficient DMUs in DEA using 0-1 linear
programming. Applied Mathematics and Computation 2004;159(1):37–45.
[1773] Jahanshahloo GR, Hosseinzadeh Lotfi F, Shoja N, Tohidi G, Razavyan S. A one-model approach to classification and sensitivity
analysis in DEA. Applied Mathematics and Computation 2005;169(2):887–96.
[1774] Jahanshahloo GR, Hosseinzadeh F, Shoja N, Tohidi G. A method for solving 0-1 multiple objective linear programming problem
using DEA. Journal of Operations Research Society of Japan 2003;46(2):189–202.
[1775] Jahanshahloo GR, Hosseinzadeh F, Shoja N, Tohidi G, Razavyan S. A method for detecting influential observation in radial DEA
models. Applied Mathematics and Computation 2004;147(2):415–21.
[1776] Jahanshahloo GR, Hosseinzadeh F, Shoja N, Sanei M, Tohidi G. Sensitivity and stability analysis in Data Envelopment Analysis.
[1777] Jahanshahloo GR, Hosseinzadeh F, Shoja N, Sanei M, Tohidi G. Sensitivity and stability analysis in DEA. Applied Mathematics
and Computation 2005;169(2):897–904.
55
[1778] Jahanshahloo GR, Lofti FH, Shoja N, Tohidi G. A method for solving 0-1 multiple objective programming problem, using Data
Envelopment Analysis technique. Mathematical and Computational Applications 2004;9(2):147–56.
[1779] Jahanshahloo GR, Lotfi FH, Moradi M. A DEA approach for fair allocation of common revenue. Applied Mathematics and
Computation 2005;160(3):719–24.
[1780] Jahanshahloo GR, Lotfi FH, Zohrehbandian M. Finding the efficiency score and Rts characteristic of DMUs by means of
identifying the efficient frontier in DEA. Applied Mathematics and Computation 2005;170(2):985–93.
[1781] Jahanshahloo GR, Lotfi FH, Zohrehbandian M. Finding the piecewise linear frontier production function in Data Envelopment
Analysis. Applied Mathematics and Computation 2005;163(1):483–8.
[1782] Jahanshahloo GR, Lotfi FH, Zohrehbandian M. Notes on sensitivity and stability of the classifications of returns to scale in Data
Envelopment Analysis. Journal of Productivity Analysis 2005;23(3):309–13.
[1783] Jahanshahloo GR, Lotfi FH, Rezai HZ, Balf FR. Using Monte Carlo method for ranking efficient DMUs. Applied Mathematics
[1784] Jahanshahloo GR, Lotfi FH, Rezai HZ, Balf FR. Finding strong defining hyperplanes of production possibility set. European
[1785] Jahanshahloo GR, Lotfi FH, Shoja N, Tohidi G. A method for generating all the efficient solutions of a 0-1 multi-objective linear
programming problem. Asia-Pacific Journal of Operational Research 2004;21(1):127–39.
[1786] Jahanshahloo GR, Lotfi FH, Shoja N, Sanei M. An alternative approach for equitable allocation of shared costs by using DEA.
[1787] Jahanshahloo GR, Lotfi FH, Shoja N, Tohidi G, Razavyan S. Input estimation and identification of extra inputs in inverse DEA
[1788] Jahanshahloo GR, Lotfi FH, Shoja N, Tohidi G, Razavyan S. The outputs estimation of a DMU according to improvement of its
efficiency. Applied Mathematics and Computation 2004;147(2):409–13.
[1789] Jahanshahloo GR, Lotfi FH, Shoja N, Tohidi G, Razavyan S. Ranking using L1 -norm in Data Envelopment Analysis. Applied
[1790] Jahanshahloo GR, Pourkarimi L, Zarepisheh M. Modified Maj model for ranking decision making units in Data Envelopment
Analysis. Applied Mathematics and Computation 2006;174(2):1054–9.
[1791] Jahanshahloo GR, Sanei M, Hosseinzadeh Lotfi F, Shoja N. Using the gradient line for ranking DMUs in DEA. Applied
[1792] Jahanshahloo GR, Soleimani-Damaneh M, Nasrabadi E. Measure of efficiency in DEA with fuzzy input-output levels: a
methodology for assessing, ranking and imposing of weights restrictions. Applied Mathematics and Computation
2004;156(1):175–87.
[1793] Jahanshahloo GR, Soleimani-Damaneh M, Rostamy-Malkhalifeh M. An enhanced procedure for estimating returns-to-scale in
DEA. Applied Mathematics and Computation 2005;171(2):1226–38.
[1794] Jahanshahloo GR, Matin RK, Vencheh AH. On FDH efficiency analysis with interval data. Applied Mathematics and
Computation 2004;159(1):47–55.
[1795] Jahanshahloo GR, Matin RK, Vencheh AH. On return to scale of fully efficient DMUs in Data Envelopment Analysis under
interval data. Applied Mathematics and Computation 2004;154(1):31–40.
[1796] Jaksch I. Faults diagnosis of three-phase induction motors using envelope analysis. In: Proceedings of IEEE international
symposium on diagnostics for electric machines, power electronics and drives. New York: IEEE; 2003. p. 289–93.
[1797] Jamasb T, Pollitt M. Benchmarking and regulation: international electricity experience. Utilities Policy 2000;9(3):107–30.
[1798] Jamasb T, Pollitt M. International benchmarking and regulation: an application to European electricity distribution utilities.
Energy Policy 2003;31(15):1609–22.
[1799] Jamasb T, Nillesen P, Pollitt M. Strategic behaviour under regulatory benchmarking. Energy Economics 2004;26(5):825–43.
[1800] Jane T-D. The study of total factor productivity changes in Taipower’s thermal power plants. Monthly Journal of Taipower’s
Engineering 2004;675:1–15.
[1801] Jardim-Gonalves R, Steiger-Garao A. Integration and adoptability of Aps: the role of ISO TC184/SC4 standards. International
Journal of Computer Applications in Technology 2003;18(1):1.
[1802] Jayanthi S, Kocha B, Sinha KK. Competitive analysis of manufacturing plants: an application to the US processed food industry.
[1803] Jeanneney SG, Hua JP, Liang ZC. Financial development, economic efficiency, and productivity growth: evidence from China.
Journal of Development Economics 2006;44(1):27–52.
[1804] Jenkins L, Anderson M. A multivariate statistical approach to reducing the number of variables in Data Envelopment Analysis.
[1805] Jensen U. Misspecification preferred: the sensitivity of inefficiency rankings. Journal of Productivity Analysis 2005;23(2):223–44.
[1806] Jeon Y, Shields MP. Integration and utilization of public education resources in remote and homogenous areas: a case study of the
upper Peninsula of Michigan. Contemporary Economic Policy 2005;23(4):601–14.
[1807] Jeong SO, Park BU. Large sample approximation of the distribution for convex-hull estimators of boundaries. Scandinavian
Journal of Statistics 2006;33(1):139–51.
[1808] Jeong SO, Simar L. Linearly interpolated FDH efficiency score for nonconvex frontiers. Journal of Multivariate Analysis
2006;97(10):2141–61.
[1809] Jess A, Jongen HT, Neralic L, Stein O. A semi-infinite programming model in Data Envelopment Analysis. Optimisation
2001;49(4):369–85.
56
[1810] Jesson D, Mayston D. Information, accountability and educational performance indicators. In: Fitz-Gibbon CT, editor.
Performance indicators. Clevedon: Bank House; 1989. p. 77–87.
[1811] Jesson D, Mayston D. Measuring performance in authorise and schools. Education and Training: Policy Journals 1989:12–21.
[1812] Jesson D, Mayston D, Smith P. Performance assessment in the education sector: educational and economic perspectives. Oxford
Review of Education 1987;1:249–66.
[1813] Jessop A. Multiple attribute probabilistic assessment of the performance of some airlines. Lecture Notes in Economic and
Mathematics 2001;507:417–26.
[1814] Jeyapaul R, Shahabudeen P, Krishnaiah K. Quality management research by considering multi-response problems in the Taguchi
method—a review. International Journal of Advanced Manufacturing Technology 2005;26(11/12):1331–7.
[1815] Jha DK, Shrestha R. Measuring efficiency of hydropower plants in Nepal using Data Envelopment Analysis. IEEE Transactions
on Power Systems 2006;21(4):1502–11.
[1816] Jha R, Chitkara P. Productivity, technical and allocative efficiency and farm size in wheat farming in India. Applied Economics
Letters 2000;7(1):1.
[1817] Jha R, Chitkara P, Gupta S. Productivity, technical and allocative efficiency and farm size in wheat farming in India: a DEA
approach. Applied Economics Letters 2000;7(1):1–5.
[1818] Ji AB, Li Y, Yang J-L. Evaluation of distribution center using DEA. Journal of Shanghai Maritime University 2002;23(4):53.
[1819] Jia-Jane S, Han-Lin L. Using rough set and worst practice DEA in business failure prediction. In: Lecture notes in artificial
intelligence, vol. 3642. Berlin: Springer; 2005. p. 503–10.
[1820] Jian L, De-jie Y. Evaluation of plant maintenance based on Data Envelopment Analysis. Journal of Quality in Maintenance
Engineering 2004;10(3):203–9.
[1821] Jiancheng G, Junxia W. Evaluation and interpretation of knowledge production efficiency. Scientometrics 2004;59(1):131–55.
[1822] Jiang B, Zhang C-Q. DEA on enterprise’s technological progress and example research. System Engineering Theory and Practice
2002;22(7):65.
[1823] Jimenez MD. Efficiency and TFP growth in the Spanish regions: the role of human and public capital. Growth and Change
2003;34(2):157–74.
[1824] Jing H, Wenjiang W. Optimizing strengths of cement by DEA model with output only. In: Proceedings of operations research and
its applications. In: First international symposium, Beijing World Publishing, 1995. p. 533–7.
[1825] Jing T, Cheng J. The relative efficiency measurement of operational simulation plans. In: Proceedings of Asian simulation
conference; System Simulation and Scientific Computing (Shanghai). International Academic Publishers; 2002. p. 159–63.
[1826] Jing T, Zeng X-Y. DEA system and its application in weapon system acquisition. Systems Engineering and Electronics
2003;25(3):295–8.
[1827] Jinlong M, Evans DG, Fuller RJ, Stewart DF. Technical efficiency and productivity change of China’s iron and steel industry.
[1828] Jitsuzumi T, Nakamura A. Measuring DEA efficiency in cable television network facilities: what are appropriate criteria for
determining the amounts of governmental subsidies? Socio-Economic Planning Sciences 2003;37(1):29.
[1829] Joe Z. Imprecise Data Envelopment Analysis (IDEA): a review and improvement with an application. European Journal of
[1830] Johnes G. Scale and technical efficiency in the production of economic research. Applied Economics Letters 1995:7–11.
[1831] Johnes G. Costs and industrial structure in contemporary British higher education. Economic Journal 1997;107(442):727–37.
[1832] Johnes G. The costs of multi-product organizations and the heuristic evaluation of industrial structure. Socio-Economic Planning
Sciences 1998;32(3):199–209.
[1833] Johnes G. The management of universities—President’s lecture. Scottish Journal of Political Economy 1999;46(5):505–22.
[1834] Johnes G, Johnes J. Apples and oranges—the aggregation problem in publications analysis. Scientometrics 1992;2:353–65.
[1835] Johnes G, Johnes J. Measuring the research performance of UK economics departments—an application of Data Envelopment
Analysis. Oxford Economic Papers-New Series 1993;4:332–47.
[1836] Johnes G, Johnes J. Measuring the research performance of UK economics departments: an application of Data Envelopment
Analysis. Oxford Economic Papers 1993;45(2):332–47.
[1837] Johnes G, Johnes J. Research funding and performance in UK university departments of economics: a frontier analysis. Economics
of Education Review 1995;14(3):301–14.
[1838] Johnes G, Johnes J, Lenton P, Thanassoulis E, Emrouznejad A. An exploratory analysis of the cost structure of higher education in
England. London, UK: Department for Education and Skills (DfES); 2005.
[1839] Johnes J. Performance assessment in higher education in Britain. European Journal of Operational Research 1996;89(1):18–33.
[1840] Johnes J. Data Envelopment Analysis and its application to the measurement of efficiency in higher education. Economics of
[1841] Johnes J. Measuring efficiency: a comparison of multilevel modelling and Data Envelopment Analysis in the context of higher
education. Bulletin of Economic Research 2006;58(2):75–104.
[1842] Johnes J. Measuring teaching efficiency in higher education: an application of Data Envelopment Analysis to economics graduates
from UK universities 1993. European Journal of Operational Research 2006;174(1):443–56.
[1843] Johnes J, Johnes G. Research funding and performance in UK university departments of economics—a frontier analysis.
Economics of Education Review 1995;1:301–14.
[1844] Johnson RW, Lewin AY. Management and accountability Maxiels of public sector performance. In: Miller T, editor. Public sector
performance, a conceptual turning point Baltimore, 1984.
57
[1845] Johnson SA, Zhu J. Identifying ‘best’ applicants in recruiting using Data Envelopment Analysis. Socio-Economic Planning
Sciences 2003;37(2):125.
[1846] Johnston K, Gerard K. Assessing efficiency in the UK breast screening programme: does size of screening unit make a difference?
Health Policy 2001;56(1):21–32.
[1847] Jondrow J, Schmidt P, Materov I. On the estimation of technical inefficiency in the stochastic frontier production function model.
Journal of Econometrics 1982;19:233–8.
[1848] Joro T. Target mix approach for measuring efficiency in Data Envelopment Analysis. Lecture Notes in Economic and Mathematics
2000;487:308–18.
[1849] Joro T, Viitala EJ. Weight-restricted DEA in action: from expert opinions to mathematical models. Journal of the Operational
[1850] Joro T, Na P. Portfolio performance evaluation in a mean variance–skewness framework. European Journal of Operational
Research 2006;175(1):446–61.
[1851] Joro T, Korhonen P, Wallenius J. Structural comparison of Data Envelopment Analysis and multiple objective linear
programming. In: Proceedings of innovation in technology management. New York: IEEE; 1997. p. 800.
[1852] Joro T, Korhonen P, Wallenius J. Structural comparison of Data Envelopment Analysis and multiple objective linear
programming. Management Science 1998;44(7):962–70.
[1853] Joro T, Korhonen P, Zionts S. An interactive approach to improve estimates of value efficiency in Data Envelopment Analysis.
[1854] Joseph DA, Cerveny RP, Rhodes EL. Application architecture and technologic efficiency a comparative study of computerised
bank transaction systems. In: Proceedings of the aids national meeting, 1983.
[1855] Joshua K, Daehoon N. Australian banking efficiency and its relation to stock returns. Economic Record 2006;82(258):253.
[1856] Juan Z, Wu J, McDonald M. Socio-economic impact assessment of intelligent transport systems. Tsinghua Science and Technology
2006;11(3):339–50.
[1857] Jui-Chi W. Corporate performance efficiency investigated by Data Envelopment Analysis and balanced scorecard. Journal of the
American Academy of Business, Cambridge 2006;9(2):312.
[1858] Julia EB, William BT. Linking dimensions of service quality to organizational outcomes. Managing Service Quality
2004;14(1):75–89.
[1859] Jun Z, Jin J, Wang J. Data Envelopment Analysis (DEA) method and transport enterprise technique and scale effectiveness.
Journal of Highway and Transportation Research and Development 1994;11(4):44–50.
[1860] Junoy JP. Measuring technical efficiency of output quality in intensive care units. International Journal of Health Care Quality
Assurance Incorporating Leadership in Health Services 1997;10(2–3):117–24.
[1861] Juras PE, Brooks CA. Supporting operational decision making. Health Care Supervisor 1993;12(2):25–31.
[1862] Kabassi K, Despotis DK, Virvou M. A multi criteria approach to dynamic reasoning in an intelligent users interface. International
Journal of Information Technology and Decision 2005;4(1):21–34.
[1863] Kabassi K, Virvou M, Despotis DK. Dynamic reasoning in an intelligent user interface by an index-maximizing LP model. In:
Proceedings of the IEEE international conference on systems, man and cybernetics, vol. 1. New York: IEEE, Inc.; 2003. p. 792–7.
[1864] Kahraman C, Tolga E. Data Envelopment Analysis using fuzzy concept. In: Proceedings of the international symposium on
multiple-valued logic. Los Alamitos, CA, USA: IEEE Computer Society; 1998. p. 338–42.
[1865] Kalaba R, Tesfatsion L. A multicriteria approach to model specification and estimation. Computational Statistics and Data
Analysis 1996;21(2):193–214.
[1866] Kallio M, Kallio M. Nonparametric methods for evaluating economic efficiency and imperfect competition. Journal of
[1867] Kamakura WA. A note on ‘the use of categorical variables in Data Envelopment Analysis’. Management Science
1988;34(10):1273–6.
[1868] Kamakura WA. The use of categorical variables in Data Envelopment Analysis—a note. Management Science 1988;3:1273–6.
[1869] Kamakura WA, Ratchford BT, Agrawal J. Measuring market efficiency and welfare loss. Journal of Consumer Research
1988;15(3):289–302.
[1870] Kamakura WA, Lenartowicz T, Ratchford BT. Productivity assessment of multiple retail outlets. Journal of Retailing
1996;72(4):333–56.
[1871] Kamakura WA, Mittal V, de Rosa F, Mazzon JA. Assessing the service–profit chain. Marketing Science 2002;21(3):294–317.
[1872] Kambourides ME, Yesilyurt S, Patera AT. Non-parametric-validated computer-simulation surrogates: a pareto formulation.
International Journal for Numerical Methods in Engineering 1998;42(6):971–1003.
[1873] Kamimura T, Ueda T. Data Envelopment Analysis based on triangular fuzzy numbers. Technical Reports of Seikei University
1999;36(1):9–15.
[1874] Kamis-Gould E, Delucia N, Rothbard AB. Organizational determinants of efficiency and effectiveness in mental health partial care
programs. Health Services Research 1990;25(2):387–420.
[1875] Kamruzzaman M, Manos B, Begum MAA. Evaluation of economic efficiency of wheat farms in a region of Bangladesh under the
input orientation model. Journal of Asia Pacific Economy 2006;11(1):123–42.
[1876] Kantor J, Maital S. Measuring efficiency by product group: integrating DEA with activity-based accounting in a large mideast
bank. Interfaces 1999;29(3):27–36.
58
[1877] Kantor PB, Saracevic T. Quantitative study of the value of research libraries: a foundation for the evaluation of digital libraries. In:
Proceedings of the 62nd Asis annual meeting, Knowledge: creation, organization and use, Information today, vol. 36, 1999. p.
407–19.
[1878] Kao C. Evaluation of junior colleges of technology: the Taiwan case. European Journal of Operational Research 1994;72(1):43–51.
[1879] Kao C. Measuring the efficiency of forest districts with multiple working circles. Journal of the Operational Research Society
1998;49(6):583–90.
[1880] Kao C. Data Envelopment Analysis in resource allocation: an application to forest management. International Journal of Systems
Science 2000;31(9):1059–66.
[1881] Kao C. Measuring the performance improvement of Taiwan forests after reorganization. Forest Science 2000;46(4):577–84.
[1882] Kao C. A mathematical programming approach to fuzzy efficiency ranking. In: IEEE International Conference on Fuzzy Systems,
vol. 1. Institute of Electrical and Electronics Engineers Inc.; 2001. p. 216–9.
[1883] Kao C. Interval efficiency measures in Data Envelopment Analysis with imprecise data. European Journal of Operational Research
2006;174(2):1087–99.
[1884] Kao C, Hung HT. Data Envelopment Analysis with common weights: the compromise solution approach. Journal of the
[1885] Kao C, Liu S-T. Data Envelopment Analysis with missing data: an application to university libraries in Taiwan. Journal of the
[1886] Kao C, Liu S-T. Predicting bank performance with financial forecasts: a case of Taiwan commercial banks. Journal of Banking and
Finance 2004;28(10):2353–68.
[1887] Kao C, Liu S-T. Data Envelopment Analysis with imprecise data: an application of Taiwan machinery firms. International Journal
of Uncertainty, Fuzziness and Knowledge-Based Systems 2005;13(2):225–40.
[1888] Kao C, Lee CK, Lin YC. Comparing university libraries of different university size. Libri: International Journal of Libraries and
Information Services 1999;49(3):150–8.
[1889] Kao C, Lin YC. Evaluation of the university libraries in Taiwan: total measure versus ratio measure. Journal of the Operational
[1890] Kao C, Yang YC. Measuring the efficiency of forest management. Forest Science 1991;3:1239–52.
[1891] Kao C, Yang YC. Reorganization of forest districts via efficiency measurement. European Journal of Operational Research
1992;5:356–62.
[1892] Kao C, Chen CY. Overview of or practice in Taiwan companies. Journal of the Operational Research Society 1997;48(6):569–75.
[1893] Kao C, Chen LH, Wang TY, Kuo S, Horng SD. Productivity improvement—efficiency approach vs. effectiveness approach.
Omega 1995;2:197–204.
[1894] Kao C, Chang PL, Hwang SN. Data Envelopment Analysis in measuring the efficiency of forest management. Journal of
Environmental Management 1993;38:73–83.
[1895] Kao CA. Efficiency improvement in Data Envelopment Analysis. European Journal of Operational Research 1994;7:487–94.
[1896] Kaoru T, Nakabayashi K. Egoist’s dilemma: a DEA game. Omega 2006;34(2):135–48.
[1897] Kaparakis EI, Miller SM, Noulas AG. Short-run cost inefficiency of commercial banks: a flexible stochastic frontier approach.
Journal of Money, Credit and Banking 1994;26(4):875–93.
[1898] Karadag M, Önder Ö, Deliktas E. Growth of factor productivity in the Turkish manufacturing industry at provincial level.
Regional Studies 2005;39(2):213–23.
[1899] Karagiannis G, Midmore P, Tzouvelekas V. Parametric decomposition of output growth using a stochastic input distance function.
American Journal of Agricultural Economics 2004;86(4):1044–57.
[1900] Karkazis J, Thanassoulis E. Assessing the effectiveness of regional development policies in northern Greece using data. SocioEconomic Planning Sciences 1998;32(2):123.
[1901] Karlaftis MG. Investigating transit production and performance: a programming approach. Transportation Research Part A:
Policy and Practice 2003;37A(3):225–40.
[1902] Karlaftis MG. A DEA approach for evaluating the efficiency and effectiveness of urban transit systems. European Journal of
[1903] Karsak EE. A two-phase robot selection procedure. Production Planning and Control 1998;9(7):675–84.
[1904] Karsak EE. DEA-based robot selection procedure incorporating fuzzy criteria values. In: Proceedings of 1999 IEEE international
conference on systems, man, and cybernetics, vol. 1. New York: IEEE; 1999. p. 1073–8.
[1905] Karsak EE, Ashika SS. Practical common weight multi-criteria decision-making approach with an improved discriminating power
for technology selection. International Journal of Production Research 2005;43(8):1537–54.
[1906] Kashani HA. Regulation and efficiency: an empirical analysis of the UK continental shelf petroleum industry. Energy Policy
2005;33(7):915–25.
[1907] Kashani HA. State intervention causing inefficiency: an empirical analysis of the Norwegian continental shelf. Energy Policy
2005;33(15):1998–2009.
[1908] Katrishen FA, Scordis NA. Economies of scale in services: a study of multinational insurers. Journal of International Business
Studies 1998;29(2):305–23.
[1909] Kauermann G, Mueller M, Carroll RJ. The efficiency of bias-corrected estimators for nonparametric kernel estimation based on
local estimating equations. Statistics and Probability Letters 1998;37(1):41.
[1910] Kauffmann P, Unal R. A model for allocating resources to research programs by evaluating technical importance and research
productivity. Engineering Management Journal 2000;12(1):5.
59
[1911] Kaur K, Bawa RS. Efficiency in Indian manufacturing sector—an Inter-State analysis. In: Emrouznejad A, Podinovski V, editors.
[1912] Kazakov A, Cook WD, Roll Y. Measurement of highway maintenance patrol efficiency: model and factors. Transportation
Research Record 1989;1216:39–45.
[1913] Kazemi M, Moini A, Asgharpour MJ. Using geometric programming to solve an improved non-linear multiplicative DEA models.
In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 401.
[1914] Keating P. Enhanced performance with DEA. New Zealand Engineering 1996;51(7):13.
[1915] Kemerer CF. Production process modeling of software maintenance productivity. In: Proceedings of the conference on software
maintenance. Silver Spring, MD: IEEE Comput Society; 1988. p. 282.
[1916] Kemerer CF. Production process modeling of software maintenance productivity. In: Proceedings of the conference on software
maintenance. In: Proceedings of the conference on software maintenance, 1988. p. 282.
[1917] Kerr CA, Glass JC, McCallion GM, McKillop DG. Best-practice measures of resource utilization for hospitals: a useful
complement in performance. Public Administration 1999;77(3):639–50.
[1918] Kerstens K. Technical efficiency measurement and explanation of French urban transit companies. Transportation Research Part
A: Policy and Practice 1996;30(6):431–52.
[1919] Kerstens K, Vanden Eeckaut P. Estimating returns to scale using non-parametric deterministic technologies: a new method based
on goodness-of-fit. European Journal of Operational Research 1999;113(1):206–14.
[1920] Kerstens K, Eeckaut PV. A new criterion for technical efficiency measures: non-monotonicity across dimensions axioms.
[1921] Kerstens K, Vestergaard N, Squires D. A short-run Johansen industry model for common-pool resources: planning a fishery’s
industrial capacity to curb overfishing. European Review of Agricultural Economic 2006;33(3):361–89.
[1922] Khaira R, Professor Mark G. Segment selection through DEA in marketing. In: Emrouznejad A, Podinovski V, editors.
[1923] Khouja M. Use of Data Envelopment Analysis for technology selection. Computers and Industrial Engineering 1995;28(1):123–32.
[1924] Kim I, Hendry LC. Using DEA to assess NATO burden-sharing. Journal of the Operational Research Society 1998;49(3):228–36.
[1925] Kim JM. Efficiency analysis of sustainable and conventional farms in the Republic of Korea with special reference to the Data
Envelopment Analysis (DEA). Journal of Sustainbale Agriculture 2001;18(4):9–26.
[1926] Kim JW, Lee HK. Embodied and disembodied international spillovers of R&D in OECD manufacturing industries.
TECHNOVATION 2004;24(4):359–68.
[1927] Kim S, Han G. A decomposition of total factor productivity growth in Korean manufacturing industries: a stochastic frontier
approach. Journal of Productivity Analysis 2001;16(3):269–81.
[1928] Kim SC, Horowitz I, Young KK, Buckley TA. Flexible bed allocation and performance in the intensive care unit. Journal of
Operations Management 2000;18(4):427–43.
[1929] Kim S-H, Park C-G, Park K-S. Application of Data Envelopment Analysis in telephone offices evaluation with partial data.
[1930] Kim T, Kim J-G. Heterogeneity in and determinants of technical efficiency in the use of polluting inputs. In: Lecture notes in
computer science, vol. 3483. Heidelberg: Springer; 2005. p. 280–9.
[1931] Kinoshita A. Evaluation of baseball batters and pitchers. Operations Research: Communications of Operations Research Society
of Japan 1987;32:689–97.
[1932] Kirigia JM, Emrouznejad A, Sambo LG. Measurement of technical efficiency of public hospitals in Kenya: using Data
Envelopment Analysis. Journal of Medical Systems 2002;26(1):39–45.
[1933] Kirigia JM, Emrouznejad A, Sambo LG, Munguti N, Liambila W. Using Data Envelopment Analysis to measure the technical
efficiency of public health centers in Kenya. Journal of Medical Systems 2004;28(2):155–66.
[1934] Kirigia JM, Emrouznejad A, Vaz RG, Bastiene H, Padayachy J. A comparative assessment of performance and productivity of
health centers in Seychelles. International Journal of Productivity and Performance Management 2008;57(1).
[1935] Kirigia JM, Sambo LG, Lambo E. Are public hospitals in Kwazulu-natal province of South Africa technically efficient? African
Journal of Health Sciences 2000:24–31.
[1936] Kirigia JM, Sambo LG, Scheel H. Technical efficiency of public clinics in Kwazulu-natal province of South Africa. East African
Medical Journal 2001;78(3 Suppl):1–13.
[1937] Kirigia JM, Asbu EZ, Greene W, Emrouznejad A. Technical efficiency, efficiency change, technical progress and productivity
growth in the national health systems of continental African countries. Eastern Africa Social Science Research Review 2007;23(2).
[1938] Kirikal LY. Stabilisation period and Malmquist index of productivity change: an empirical study of Estonian banks. In:
[1939] Kirilyuk VS. A nonparametric estimation of systems with two types of outputs by input–output observation results. Cybernetics
and Systems Analysis 2003;39(3):428–39.
[1940] Kirjavainen T, Loikkanen HA. Efficiency differences of Finnish senior secondary schools: an application of DEA Tobit analysis.
In: Proceedings of innovation in technology management. New York: IEEE; 1997. p. 800.
[1941] Kirjavainen T, Loikkanen HA. Efficiency differences of Finnish senior secondary schools: an application of DEA and Tobit
analysis. Economics of Education Review 1998;17(4):377–94.
[1942] Kirkley J, Squires D, Strand IE. Characterizing managerial skill and technical efficiency in a fishery. Journal of Productivity
Analysis 1998;9(2):145–60.
60
[1943] Kirkley JE, Squires D, Alam MF, Ishak HO. Excess capacity and asymmetric information in developing country fisheries: the
Malaysian purse seine fishery. American Journal of Agricultural Economics 2003;85(3):647–62.
[1944] Kirkpatrick C, Parker D, Zhang YF. An empirical analysis of state and private-sector provision of water services in Africa. World
Bank Economic Review 2006;20(1):143–63.
[1945] Kitayama S, Arakawa M, Yamazaki K. Proposal for design improvement instruction by Data Envelopment Analysis (case with
application to child seat). Transactions of the Japan Society of Mechanical Engineers, Part C 2005;71(6):1955–61.
[1946] Kitchenham BA. The question of scale economies in software—Why cannot researchers agree? Information and Software
Technology 2002;44(1):13–24.
[1947] Kittelsen SAC, Forsund FR. Efficiency analysis of Norwegian district courts. Journal of Productivity Analysis 1992:277–306.
[1948] Kizil M, Ozbayrak M, Papadopoulou TC. Evaluation of dispatching rules for cellular manufacturing. International Journal of
Advanced Manufacturing Technology 2006;28(9):985–92.
[1949] Kleindorfer P. The management of productivity and technology in manufacturing. New York, NY: Plenum; 1985.
[1950] Kleine A. Data Envelopment Analysis from decision theoretical perspective. OR Spectrum 2001;23(2):223–42.
[1951] Kleine A. A general model framework for DEA. Omega 2004;32(1):17–23.
[1952] Kleinsorge IK, Karney DF. Management of nursing-homes using Data Envelopment Analysis. Socio-Economic Planning Sciences
1992;26(1):57–71.
[1953] Kleinsorge IK, Schary PB, Tanner R. Evaluating logistic decisions. International Journal of Physical Distribution and Materials
Management 1989;19(12).
[1954] Kleinsorge IK, Schary PB, Tanner RD. The shipper–carrier partnership: a new tool for performance evaluation. Journal of
Business Logistics 1991;12(2).
[1955] Kleinsorge IK, Schary PB, Tanner RD. Data Envelopment Analysis for monitoring customer-supplier relationships. Journal of
Accounting and Public Policy 1992;11(4):357–72.
[1956] Klymenko V, Pizer SM, Johnston RE. Visual psychophysics and medical imaging-nonparametric adaptive method for rapid
threshold estimation in sensitivity experiments. IEEE Transactions on Medical Imaging 1990:353–65.
[1957] Kneip A, Simar L. A general framework for frontier estimation with panel data. Journal of Productivity Analysis
1996;7(2–3):187–212.
[1958] Kneip A, Park BU, Simar L. A note on the convergence of nonparametric DEA estimators for production efficiency scores.
Econometric Theory 1998;14(6):783–93.
[1959] Koch SF, Schoeman NJ, van Tonder JJ. Economic growth and the structure of taxes in South Africa: 1960 to 2002. South African
Journal of Economics 2005;73(2):190–210.
[1960] Koksal G, Nalcaci B. The relative efficiency of departments at a Turkish engineering college: a Data Envelopment Analysis. Higher
Education 2006;51(2):173–89.
[1961] Kong NYC, Tongzon J. Estimating total factor productivity growth in Singapore at sectoral level using Data Envelopment
Analysis. Applied Economics 2006;38(19):2299–314.
[1962] Kongar E, Gupta SM, McGovern SM. The use of Data Envelopment Analysis for product recovery. In: Proceedings of the
international society for optical engineering, vol. 5262. Bellingham, WA, US: ISOE; 2004. p. 219–31.
[1963] Kontodimopoulos N, Niakas D. Efficiency measurement of haemodialysis units in Greece with Data Envelopment Analysis. In:
[1964] Kontodimopoulos N, Niakas D. Efficiency measurement of hemodialysis units in Greece with Data Envelopment Analysis. Health
Policy 2005;71(2):195–204.
[1965] Kontodimopoulos N, Niakas D. A 12-year analysis of Malmquist total factor productivity in dialysis facilities. Journal of Medical
Systems 2006;30(5):333–42.
[1966] Kontodimopoulos N, Nanos P, Niakas D. Balancing efficiency of health services and equity of access in remote areas in Greece.
Health Policy 2006;76(1):49–57.
[1967] Kontodimopoulos N, Bellali T, Labiris G, Niakas D. Investigating sources of inefficiency in residential mental health facilities.
Journal of Medical Systems 2006;30(3):169–76.
[1968] Konzo T, Aoki S, Tsuji H. DEA-based evaluation methodology for domestic energy consumption. Transactions of the Institute of
Electrical Engineers of Japan, Part C 2005;125(10):1530–6.
[1969] Kooreman P. Data Envelopment Analysis and parametric frontier estimation: complementary tools. Journal of Health Economics
1994;13(3):345–6.
[1970] Kooreman P. Nursing home care in The Netherlands: a nonparametric efficiency analysis. Journal of Health Economics
1994;13(3):301–16.
[1971] Kopp RJ. The measurement of productive efficiency: a reconsideration. Quarterly Journal of Economics 1981;96(3):477–503.
[1972] Kopp RJ, Mullahy J. Moment-based estimation and testing of stochastic frontier models. Journal of Econometrics 1990;46:165–83.
[1973] Kordrostami S, Amirteimoori A. Undesirable factors in multi-component performance measurement. Applied Mathematics and
Computation 2005;171(2):721–9.
[1974] Korhonen P, Syrjanen M. Resource allocation based on efficiency analysis. Management Science 2004;50(8):1134–44.
[1975] Korhonen P, Soismaa M, Siljamaki A. On the use of value efficiency analysis and some further developments. Journal of
Productivity Analysis 2002;17(1-2):49–64.
[1976] Korhonen P, Tainio R, Wallenius J. Value efficiency analysis of academic research. European Journal of Operational Research
2001;130(1):121–32.
61
[1977] Korhonen P, Stenfors S, Syrjanen M. Multiple objective approach as an alternative to radial projection in DEA. Journal of
[1978] Korhonen PJ, Luptacik M. Eco-efficiency analysis of power plants: an extension of Data Envelopment Analysis. European Journal
[1979] Korhonen PJ, Syrjanen MJ. Evaluation of cost efficiency in Finnish electricity distribution. Annals of Operations Research
2003;121:105–22.
[1980] Korhonen PJ, Syrjanen MJ. On the interpretation of value efficiency. Journal of Productivity Analysis 2005;24(2):197–201.
[1981] Korhonen PJ, Shtari PA. Using lexicographic parametric programming for identifying efficient units in DEA. Computer and
[1982] Kornbluth JSH. Analysing policy effectiveness using cone restricted Data Envelopment Analysis. Journal of the Operational
[1983] Korostelev AP, Simar L, Tsybakov AB. Efficient estimation of monotone boundaries. Annals of Statistics 1995;23(2):476–89.
[1984] Korostelev AP, Simar L, Tsybakov AB. On estimation of monotone and convex boundaries. Publications de l’Institut de
Statistique de l’Universite de Paris 1995;34(1):3–18.
[1985] Koski HA, Majumdar SK. Convergence in telecommunications infrastructure development in OECD countries. Information
Economics and Policy 2000;12(2):111–31.
[1986] Kotsiopoulos I, Cassaigne N. A project resource management method for a single project with multiple participating organisations.
In: Proceedings of IEEE, Man and Cybernetics, vol. 6. IEEE; 2002.
[1987] Kozmetsky G. Comparative performance of global semiconductor companies. Omega 1998;26(2):153–75.
[1988] Kraeger Jens J. The global trends of total factor productivity: evidence from the nonparametic Malmquist index approach. Oxford
Economic Papers 2003;55(2):265–86.
[1989] Kramer B. N.E.W.S: a model for the evaluation of non-life insurance companies. European Journal of Operational Research
1997;98(2):419–30.
[1990] Krasachat V. Explaining economic inefficiency of Thai oil palm farms. In: Emrouznejad A, Green R, Krivonozhko V, editors.
Efficiency and productivity analysis in the 21st century. International Research in Management Science; 2002.
[1991] Krasachat W. Technical efficiencies of rice farms in Thailand: a non-parametric approach. Journal of American Academy of
Business, Cambridge 2004;4(1/2):64–9.
[1992] Kremp R, Westermann R, Seel A. Calculation of costs of electricity transmission networks. Elektrizitaetswirtschaft
2005;104(6):60–6.
[1993] Krishnamurthy A, Krishnamurty S. A cross-evaluation matrix (C.E.M.) rating based approach to Pareto efficient frontier and
design alternatives enumeration. In: Proceedings of the design engineering technical conference, vol. 2A. New York, USA: ASME;
2003. p. 13–24.
[1994] Krivonozhko VE, Volodin AV, Sablin IA, Patrin M. Calculations of marginal rates in DEA using parametric optimization
methods. In: Emrouznejad A, Green R, Krivonozhko V, editors. Efficiency and productivity analysis in the 21st century,
International Research in Management Science, 2002.
[1995] Krivonozhko VE, Utkin OB, Volodin AV, Sablin IA. About structure of boundary points in DEA. In: Emrouznejad A, Green R,
Krivonozhko V, editors. Efficiency and productivity analysis in the 21st century, International Research in Management Science,
2002.
[1996] Krivonozhko VE, Utkin OB, Volodin AV, Sablin IA. About the structure of boundary points in DEA. Journal of the Operational
[1997] Krivonozhko VE, Utkin OB, Volodin AV, Sablin IA, Patrin M. Constructions of economic functions and calculations of marginal
rates in DEA using parametric optimization methods. Journal of the Operational Research Society 2004;55(10):1049–58.
[1998] Kruger HA, Steyn PJ, Kearney W. Determinants of internal audit efficiency. South African Journal of Business Management
2002;33(3):53.
[1999] Kruger JJ. The global trends of total factor productivity: evidence from the nonparametric Malmquist index approach. Oxford
Economic Papers 2003;55(2):265–86.
[2000] Kruger JJ, Cantner U, Hanusch H. Total factor productivity, the East Asian miracle, and the world production frontier.
Weltwirtschaftliches Archiv—Review of World Economics 2000;136(1):111–36.
[2001] Kruger VJJ, Cantner U, Hanusch H. Explaining international productivity differences. Jahrbucher Fur Nationalokonomie Und
Statistik 2003;223(6):659–79.
[2002] Kuang-Hua H. Using balanced scorecard and fuzzy Data Envelopment Analysis for multinational R & D project performance
assessment. Journal of the American Academy of Business, Cambridge 2005;7(1):189–96.
[2003] Kua-Ping L, Fildes R. The accuracy of a procedural approach to specifying feedforward neural networks for forecasting.
[2004] Kulshreshtha M, Parikh JK. Study of efficiency and productivity growth in opencast and underground coal mining in India: a
DEA analysis. Energy Economics 2002;24(5):439–53.
[2005] Kulshrestha M, Mittal AK. Performance appraisal of water utilities using DEA approach. In: Proceedings of the world water and
environmetal resources congress: critical transitions in water and environmetal resources management. New York: ASME; 2004. p.
2424–31.
[2006] Kumar CK, Sinha BK. Efficiency based production planning and control models. European Journal of Operational Research
1999;117(3):450–69.
62
[2007] Kumar KC, Sinha BK. Efficiency based decision rules for production planning and control. International Journal of Systems
Science 1998;29(11):1265–80.
[2008] Kumar S. Environmentally sensitive productivity growth: a global analysis using Malmquist–Luenberger index. Ecological
Economics 2006;56(2):280–93.
[2009] Kumar S, Russell RR. Technological change, technological catch-up, and capital deepening: relative contributions to growth and
convergence. American Economic Review 2002;92(3):527–48.
[2010] Kumbhakar S, Hjalmarsson L. Labour-use efficiency in Swedish social insurance offices. Journal of Applied Econometrics
1995;1:33–47.
[2011] Kumbhakar SC. Production frontiers, panel data, and time-varying technical inefficiency. Journal of Econometrics 1990;46:201–11.
[2012] Kumbhakar SC. Efficiency measurement with multiple outputs and multiple inputs. Journal of Productivity Analysis
1996;7:225–55.
[2013] Kumbhakar SC, Hjalmarsson L. Technical efficiency and technical progress in Swedish dairy farms. In: Fried HO, Schmidt SS,
editors. The measurement of productive efficiency: techniques and applications, Oxford, UK, 1993. p. 256–70.
[2014] Kumbhakar SC, Hjalmarsson L. Decomposing technical change with panel data—an application to the public sector.
Scandinavian Journal of Economics 1995;9:309–23.
[2015] Kumbhakar SC, Hjalmarsson L, Heshmati A. Efficiency of the Swedish pork industry: a farm level study using rotating panel data
1976–1988. European Journal of Operational Research 1995;80(3):519–33.
[2016] Kumbhakar SC, Thrall RM, Yu YX. DEA and stochastic frontier analysis of the effects of the 1978 Chinese economic reforms.
Socio-Economic Planning Sciences 1995;29(2):85–112.
[2017] Kumbhakar SC, Ghosh S, McGuckin JT. A generalized production frontier approach for estimating determinants of inefficiency in
United States dairy farms. Journal of Business and Economic Statistics 1991:279–86.
[2018] Kuntz L, Vera A. Transfer pricing in hospitals and efficiency of physicians: the case of anesthesia services. Health Care
Management Review 2005;30(3):262–9.
[2019] Kuntz L, Scholtes S. Measuring the robustness of empirical efficiency valuations. Management Science 2000;46(6):807–23.
[2020] Kuo-Ping C. A note on ‘‘a discussion of testing DMUs’ returns to scale’’; by Zhu and Shen. European Journal of Operational
Research 1997;97(3):597–9.
[2021] Kuo-ping Chang J. Measuring efficiency with quasicave production frontiers. European Journal of Operational Research
1999;115(3):497–506.
[2022] Kuosmanen T. DEA with efficiency classification preserving conditional convexity. European Journal of Operational Research
2001;132(2):326–42.
[2023] Kuosmanen T. Duality theory of non-convex technologies. Journal of Productivity Analysis 2003;20(3):273–304.
[2024] Kuosmanen T. Weak disposability in nonparametric production analysis with undesirable outputs. American Journal of
[2025] Kuosmanen T, Post GT. Measuring economic efficiency under imperfect price information: with an application to European
commercial banks, Rotterdam. European Journal of Operational Research 1999.
[2026] Kuosmanen T, Post GT. Nonparametric efficiency analysis under uncertainty: a first-order stochastic dominance approach.
Journal of Productivity Analysis 2001.
[2027] Kuosmanen T, Kortelainen M. Measuring eco-efficiency of production with Data Envelopment Analysis. Journal of Industrial
Ecology 2005;9(4):59–72.
[2028] Kuosmanen T, Post T. Measuring economic efficiency with incomplete price information: with an application to European
commercial banks. European Journal of Operational Research 2001;134(1):43–58.
[2029] Kuosmanen T, Post T. Nonparametric efficiency analysis under price uncertainty: a first-order stochastic dominance approach.
[2030] Kuosmanen T, Post T. Quadratic Data Envelopment Analysis. Journal of the Operational Research Society 2002;53(11):1204–14.
[2031] Kuosmanen T, Pemsl D, Wesseler J. Specification and estimation of production functions involving damage control inputs: a twostage, semiparametric approach. American Journal of Agricultural Economics 2006;88(2):499–511.
[2032] Kuosmanen T, Cherchye L, Sipilainen T. The law of one price in Data Envelopment Analysis: restricting weight flexibility across
firms. European Journal of Operational Research 2006;170(3):735–57.
[2033] Kuosmanen T, Post T, Scholtes S. Non-parametric tests of productive efficiency with errors-in-variables. Journal of Econometrics
2007;136(1):131–62.
[2034] Kuosmanen T, Post T, Sipilainen T. Shadow price approach to total factor productivity measurement: with an application to
Finnish grass-silage production. Journal of Productivity Analysis 2004;22(1–2):95–121.
[2035] Kwakye E. Relative Efficiency of some selected hospitals in the ACCRa-Tema metropolis. In: Emrouznejad A, Podinovski V,
editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 305.
[2036] Kwangsoo L, Wan TTH. Information system integration and technical efficiency in urban hospitals. International Journal of
Healthcare Technology and Management 2003;5(6):452–62.
[2037] Kwon OS, Lee H. Productivity improvement in Korean rice farming: parametric and non-parametric analysis. Australian Journal
of Agricultural Economics 2004;48(2):323–46.
[2038] Lachaal L, Dhehibi B, Chebil Ali, Karray B. Technical efficiency measures and its determinants for olive producing farms in
Tunisia. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 315.
[2039] Lachaal LNC, Thabet B. Technical efficiency of dairy production in Tunisia: a Data Envelopment Analysis. Mediterranean
Journal of Economics, Agriculture and Environment 2002. 22–26N21.
63
[2040] Lahdelma R, Salminen P. Classifying efficient alternatives in Smaa Using cross confidence factors. European Journal of
[2041] Lahdelma R, Salminen P. Stochastic multicriteria acceptability analysis using the data envelopment model. European Journal of
[2042] Lai GC, Witt RC, Fung H-G, MacMinn RD, Brockett PL. Great (and not so great) expectations: an endogenous economic
explication of insurance cycles and liability crises. Journal of Risk and Insurance 2000;67(4):617–52.
[2043] Laine J, Finne-Soveri UH, Bjorkgren M, Linna M, Noro A, Hakkinen U. The association between quality of care and technical
efficiency in long-term care. International Journal for Quality in Health Care 2005;17(3):259–67.
[2044] Lall P, Featherstone AM, Norman DW. Productive efficiency and growth policies for the Caribbean. Applied Economics
2000;32(11):1483–93.
[2045] Lall P, Featherstone AM, Norman DW. Productivity growth in the Western Hemisphere (1978–94): the Caribbean in perspective.
[2046] Lall V, Teyarachakul S. Enterprise resource planning (ERP) system selection: a data envelopment anaysis (DEA) approach.
Journal for Computer Information Systems 2006;47(1):123–7.
[2047] Lambert DK. Scale and the Malmquist productivity index. Applied Economics Letters 1999;6(9):593–6.
[2048] Lambert DK, Dichev D, Raffiee K. Ownership and sources of inefficiency in the provision of water services. Water Resources
Research 1993;2:1573–8.
[2049] Lan LW, Lin ETJ. Measuring railway performance with adjustment of environmental effects, data noise and slacks.
Transportmetrica 2005;1(2):161–89.
[2050] Land A, Shutler MF, Kirthisingha HA. Branch operation. An investigation using DEA and regression. In: Proceedings of IFORS
international conference on operational research. Oxford, UK: Pergamon Press plc.; 1990. p. 261.
[2051] Land KC, Lovell CAK, Thore S. Productive efficiency under capitalism and state socialism—the chance-constrained programming
approach. Public Finance-Finances Publiques 1992;4:109–21.
[2052] Land KC, Lovell CAK, Thore S. Chance-constrained Data Envelopment Analysis. Managerial and Decision Economics
1993;14(6):541–54.
[2053] Land KC, Lovell CAK, Thore S. Productive efficiency under capitalism and state socialism—an empirical inquiry using chanceconstrained Data Envelopment Analysis. Technological Forecasting and Social Change 1994;4:139–52.
[2054] Land KC, Spenner KI, Suhomlinova OO, Jones D. Strong legacies and weak markets: Bulgarian state-owned enterprises during
early transition. American Sociological Review 1997;63(4):599–617.
[2055] Lang G, Welzel P. Technology and cost efficiency in universal banking a ‘thick frontier’—analysis of the German banking industry.
[2056] Lang JR, Golden PA. Evaluating the efficiency of Sbdcs with Data Envelopment Analysis: a longitudinal approach. Journal of
Small Business Management 1989;27(2):42–9.
[2057] Lang P, Yolalan OR, Kettani O. Controlled envelopment by face extension in DEA. Journal of the Operational Research Society
1995;46(4):473–91.
[2058] Lansink AO, Silva E. CO2 and energy efficiency of different heating technologies in the Dutch glasshouse industry. Environmental
and Resource Economics 2003;24(4):395–407.
[2059] Lansink AO, Silva E. Non-parametric production analysis of pesticides use in the Netherlands. Journal of Productivity Analysis
2004;21(1):49–65.
[2060] Lansink AO, Reinhard S. Investigating technical efficiency and potential technological change in Dutch pig farming. Agricultural
Systems 2004;79(3):353–67.
[2061] Lansink AO, Pietola K, Backman S. Effciency and productivity of conventional and organic farms in Finland 1994–1997.
European Review of Agricultural Economic 2002;29(1):51–65.
[2062] Lanza A, Markandya A, Pigliaru F. The economics of tourism and sustainable development. Cheltenham, UK: Edward Elgar;
2005.
[2063] LasAite D, Skuodas S, BogusEvicius J, Aivaras P. Efficiency of Czech insurance companies. In: Emrouznejad A, Podinovski V,
[2064] Lasserre P, Ouellette P. Dynamic factor demands and technology measurement under arbitrary expectations. Journal of
[2065] Lassila J, Viljainen S, Honkapuro S, Partanen J. Investments in the benchmarking of the distribution network companies. In:
Proceedings of the international conference on electric utility deregulation, restructuring and power technologies, vol. 2. New York:
IEEE; 2004. p. 445–50.
[2066] Lathgren M, Tambour M. Bootstrapping the Data Envelopment Analysis Malmquist productivity index. Applied Economics
1999;31(4):417–25.
[2067] Lathgren M, Tambour M. Testing scale efficiency in DEA models: a bootstrapping approach. Applied Economics
1999;31(10):1231–7.
[2068] Latruffe L, Balcombe K, Davidova S, Zawalinska K. Determinants of technical efficiency of crop and livestock farms in Poland.
[2069] Latruffe L, Balcombe K, Davidova S, Zawalinska K. Technical and scale efficiency of crop and livestock farms in Poland: does
specialization matter? Agricultural Economics 2005;32(3):281–96.
[2070] Lau KN, Lam PY. Economic freedom ranking of 161 countries in year 2000: a minimum disagreement approach. Journal of the
64
[2071] Laura BF, David M. An analytical method for Benchmarking best peer suppliers. International Journal of Operations and
Production Management 2001;21(1/2):195–209.
[2072] Lauwers L, Huylenbroeck Guido VAN, Coelli TIM. Materials balance-based modelling of environmental efficiency. In:
[2073] Lavado Rouselle F. Benchmarking the efficiency of electric cooperatives in the Philippines. In: Emrouznejad A, Podinovski V,
[2074] Law SM, Nolan JF. Measuring the impact of regulation: a study of Canadian basic cable television. Review of Industrial
Organization 2002;21(3):231–49.
[2075] Leachman C, Pegels CC, Seung Kyoon S. Manufacturing performance: evaluation and determinants. International Journal of
Operations and Production Management 2005;25(9):851–74.
[2076] Learner DB, Phillips FY. Contributions to marketing. In: Phillips FY, Rousseau JJ, editors. Systems and management science by
extremal methods. Dordrecht, The Netherlands: Kluwer Academic Publishers; 1992. p. 29.
[2077] Learner DB, Phillips F, Rousseau JJ. Managing marketing productivity: mathematical and computational advances allow
improved management of services productivity with particular application in marketing. In: Proceedings of the 41st ESOMAR
congress on marketing research, 1988.
[2078] Lee B, Barua A. An integrated assessment of productivity and efficiency impacts of information technology investments: old data,
new analysis and evidence. Journal of Productivity Analysis 1999;12(1):21–43.
[2079] Lee B, Menon NM. Information technology value through different normative lenses. Journal of Management Information
Systems 2000;16(4):99–119.
[2080] Lee C-F, Wang K, Peng Y-H. Cost structure and efficiency of the credit departments of the farmers’ associations in Taiwan.
Review of Pacific Basin Financial Markets and Policies 2006;9(3):385–403.
[2081] Lee DK. Toward a way to enhance organizational effectiveness in the defense sector: associating C.V.F. with DEA. Korean
Journal of Defense Analysis 2006;18(1):135–59.
[2082] Lee H, Somwaru A. Share tenancy and efficiency in US agriculture. In: Fried HO, Schmidt SS, editors. The measurement of
productive efficiency: techniques and applications, Oxford UK, 1993. p. 288–99.
[2083] Lee HS, Yeh CH. A multiple criteria decision making model based on fuzzy multiple objective DEA. Lecture Notes in Artificial
Intelligent 2006;4252:917–21.
[2084] Lee HS, Lin K, Fang HH. A fuzzy multiple objective DEA for the human development index. Lecture Notes in Artificial Intelligent
2006;4252:922–8.
[2085] Lee H-S, Shen P-D, Chyr W-L. A fuzzy method for measuring efficiency under fuzzy environment. In: Lecture notes in computer
science, vol. 3682. Heidelberg, Germany: Springer; 2005. p. 343–9.
[2086] Lee JD, Repkine A, Hwang SW, Kim TY. Estimating consumers’ willingness to pay for individual quality attributes with DEA.
[2087] Lee JH, Park SC. Intelligent profitable customers segmentation system based on business intelligence tools. Expert Systems with
Applications 2005;29(1):145–52.
[2088] Lee J-Y. Comparing SFA and DEA methods on measuring production efficiency for forest and paper companies. Forest Products
Journal 2005;55(7–8):51–6.
[2089] Lee J-Y. Using DEA to measure efficiency in forest and paper companies. Forest Products Journal 2005;55(1):58–66.
[2090] Lee LF, Sepanski JH. Estimation of linear and nonlinear errors-in-variables models using validation data. Journal of the American
Statistical Association 1995;9:130–40.
[2091] Lee S, Lee K, Kang IW. Efficiency analysis of controls in EDI applications. Information and Management 2005;42(3):425–39.
[2092] Lee YH, Schmidt P. A production frontier model with flexible temporal variation in technical efficiency. In: Fried HO, Schmidt SS,
editors. The measurement of productive efficiency: techniques and applications, Oxford, UK, 1993. p. 237–55.
[2093] Leem B, Kim C-H. A methodology for designing multi-echelon logistics networks using mathematical approach. International
Journal of Industrial Engineering 2003;10(4):360–6.
[2094] Leibenstein H, Maital S. Empirical estimation and partitioning of X-inefficiency: a Data Envelopment Approach. American
Economic Review 1992;82(2):428–33.
[2095] Leightner JE, Inoue T. Tackling the omitted variables problem without the strong assumptions of proxies. European Journal of
[2096] Leitner K-H, Schaffhauser-Linzatti M, Stowasser R, Wagner K. Revealing the true story behind statistical information: a Data
Envelopment Approach (DEA) to analyse Austria’s University’s research performance. In: Emrouznejad A, Podinovski V, editors.
[2097] Lelas V, Sueyoshi T. Goal programming models and their duality relations for use in evaluating security portfolio and regression
relations. European Journal of Operational Research 1997;98(2):431–43.
[2098] Leleu H. A linear programming framework for free disposal hull technologies and cost functions: primal and dual models.
[2099] Leon T, Liern V, Ruiz JL, Sirvent I. A fuzzy mathematical programming approach to the assessment of efficiency with DEA
models. Fuzzy Sets and Systems 2003;139(2):407–19.
[2100] Lertworasirikul S, Shu-Cherng F, Joines JA, Nuttle HLW. Fuzzy Data Envelopment Analysis (DEA): a possibility approach.
Fuzzy Sets and Systems 2003;139(2):379–94.
[2101] Lertworasirikul S, Fang S-C, Nuttle HLW, Joines JA. Fuzzy BCC model for Data Envelopment Analysis. Fuzzy Optimization and
Decision Making 2003;2(4):337–58.
65
[2102] Lertworasirikul S, Fangn S-C, Joines JA, Nuttle HLW. A possibility approach to fuzzy data envelopment analysis. In: Proceedings
of the joint conference on information sciences, vol. 6. Durham, US: Duke University/Association for Intelligent Machinery; 2002.
p. 176–9.
[2103] Levitt MS, Joyce MAS. The growth and efficiency of public spending. Cambridge, UK: Cambridge University Press; 1987.
[2104] Lewin AY. Comments on ‘Measuring routine nursing service efficiency: a comparison of cost per patient day and Data
Envelopment Analysis models’. Health Services Research 1983;18(2):206–8.
[2105] Lewin AY. Measuring routine nursing service efficiency—a comparison of cost per patient day and Data Envelopment Analysis
models—comment. Health Services Research 1983;1:206–8.
[2106] Lewin AY. Management and accountability models of public sector performance. In: Public sector performance, a conceptual
turning point, Trudi 1984:224–50.
[2107] Lewin AY. On learning from outliers in Fred. Y. Phillips. In: Jrousseau J, editor. Systems and management science by extremal
methods. Dordrecht, The Netherlands: Kluwer Academic Publishers; 1992. p. 29.
[2108] Lewin AY. On learning from outliers. In: Rousseau JJ, Phillips FY, editors. Systems and management science by extremal
methods. Dordrecht: Kluwer; 1992. p. 11–7.
[2109] Lewin AY. Abraham Charnes remembered. Annals of Operations Research 1997;73:373–87.
[2110] Lewin AY, Lovell CAK. Productivity analysis—parametric and nonparametric applications. European Journal of Operational
Research 1995;8:451.
[2111] Lewin AY, Minton JW. Determining organizational effectiveness: another look and an agenda for research. Management Science
1986;32(5):514–38.
[2112] Lewin AY, Seiford LM. Extending the frontiers of Data Envelopment Analysis. Annals of Operations Research 1997;73:1–11.
[2113] Lewin AY, Seiford LM. Preface and foreword. Annals of Operations Research 1997;73.
[2114] Lewin AY, Morey RC. Measuring the output potential of public sector organisations: an application of Data Envelopment
Analysis. International Journal of Policy Analysis and Information Systems 1981;5(4):267–85.
[2115] Lewin AY, Seiford LM, Cooper WW. Basic DEA models. In: Charnes A, Cooper WW, Lewin AY, Seiford LM, editors. Data
[2116] Lewin AY, Seiford LM, Cooper WW. Milestones in the evolution of DEA. In: Charnes A, Cooper WW, Lewin AY, Seiford LM,
editors. Data Envelopment Analysis: theory, methodology, and applications. Dordrecht, The Netherlands: Kluwer; 1994. p. 10–3.
[2117] Lewin AY, Morey RC, Rousseau JJ. Sensitivity and stability analysis in DEA. Annals of Operations Research 1985;2:139–56.
[2118] Lewin AY, Morey RC, Cook TJ. Evaluating the administrative efficiency of courts. Omega 1982;10(4):401–11.
[2119] Lewis HF, Sexton TR. Data Envelopment Analysis with reverse inputs and outputs. Journal of Productivity Analysis
2004;21(2):113–32.
[2120] Lewis L, Sexton TR. Network DEA: efficiency analysis of organizations with complex internal structure. Computer and
[2121] Li CD, Li YB, Dai QH. Efficiency evaluation of thermal power plants and its units with DEA method. Journal of the North China
Electric Power University 2005;32(2):27–31.
[2122] Li C-F. Inefficiency, technical progress and productivity change in German banking: a category-based empirical study. In:
[2123] Li C-H. Efficiency model based on value-position probability-estimation of DMUs on qualitative criteria. Journal of Jilin
University (Information Science Edition) 2005;23(3):252–6.
[2124] Li G, Bai J. Extended DEA and its application to making economic plan. Chengdu Kejidaxue Xuebao/Journal of Chengdu
University of Science and Technology 2000;32(1):78–81.
[2125] Li G, Liu Y. Application for DEA to the study of production function. Journal of South China University of Technology
1995;23(6):53.
[2126] Li G, Liu Y. DEA based on mutiple objective programming. System Engineering Theory and Practice 1997;17(3):16–22.
[2127] Li G, Liu Y. DEA with unreducible inputs and unexpansible outputs. Journal of Systems Science and Systems Engineering
1997;6(1):61–9.
[2128] Li GJ, Yan H. DEA model for measuring input-and-output-based technical efficiency. System Engineering Theory and Practice
2002;22(1):26.
[2129] Li H, Zhu J. Ranking the efficiency performance within a set of decision making units by Data Envelopment Analysis.
[2130] Li HC, Mirmirani S. Global transfer of arms technology and its impact on economic growth. Contemporary Economic Policy
1998;16(4):486–98.
[2131] Li L, Cui J-C. Selection of input–output items and data disposal in DEA. Journal of Systems Engineering 2003;18(6):487–90.
[2132] Li LX, Benton WC. Performance measurement criteria in health care organizations: review and future research directions.
[2133] Li S, Yang Y, Cai Z. Data Envelopment Analysis for measuring scientific research efficiency of universities. Journal of Systems
Science and Systems Engineering 1993;2(4):302–9.
[2134] Li SX. Stochastic models and variable returns to scales in Data Envelopment Analysis. European Journal of Operational Research
1998;104(3):532–48.
[2135] Li SX. Interactive strategy sets in multiple payoff games. Computers and Industrial Engineering 1999;37(3):613–30.
[2136] Li SX. Stochastic DEA models with different types of input–output disturbances. Journal of Productivity Analysis
2001;15(2):95–113.
66
[2137] Li SX, Huang Z, Rousseau JJ. Rates of change and Data Envelopment Analysis. In: Proceedings—annual meeting of the Decision
Sciences Institute, vol. 2. Atlanta, GA, USA: Decision Sciences Institute; 1996. p. 1038–40.
[2138] Li X, Shen Q, Xue X. Application of DEA-based Malmquist productivity index measure to the construction industry in China. In:
Proceedings of construction research congress. Reston, VA, USA: American Society of Civil Engineers; 2005. p. 617–26.
[2139] Li X-M, Hou F-H, Zhang Z-X, Sun J-F. Evaluation of economic benefit of petroleum enterprises in DEA. Journal of Southwestern
Petroleum Institute 2004;26(6):86.
[2140] Li Y, Sun B, Wang C, Yan B. Application of composite DEA method in mine production index analysis. Metal Mine 2000(4):35–6.
[2141] Li Y-L, Pan J-Y, Chen Y-X. Research on evaluating the efficiency of enterprise technology innovation based on DEA method.
Hebei Journal of Industrial Science and Technology 2005;22(2):74–80.
[2142] Li YZ, Yang YS, Jin JW. Application of DEA in comprehensive evaluation for the road network. Journal of Highway and
Transportation Research and Development 2001;18(4):85–8.
[2143] Li ZF, Wang SY, Deng XT. A linear programming algorithm for optimal portfolio selection with transaction costs. International
Journal of Systems Science 2000;31(1):107–17.
[2144] Liang L, Yang F, Cook WD, Zhu J. DEA models for supply chain efficiency evaluation. Annals of Operations Research
2006;145:35–49.
[2145] Liang L, Desheng W, Zhongsheng H. MES-DEA modelling for analysing anti-industrial pollution efficiency and its application in
Anhui province of China. International Journal of Global Energy Issues 2004;22(2–4):88–98.
[2146] Liao HC. A Data Envelopment Analysis method for optimizing multi-response problem with censored data in the Taguchi method.
Computers and Industrial Engineering 2004;46(4):817–35.
[2147] Liao H-C. Using N-D method to solve multi-response problem in Taguchi. Journal of Intelligent Manufacturing
2005;16(3):331–47.
[2148] Lichty R. An efficiency analysis of Minnesota counties: a Data Envelopment Analysis using 1993 implan input–output analysis.
Journal of Regional Analysis and Policy 1997;27(1):75–93.
[2149] Lien D, Yan P. Measuring the efficiency of search engines: an application of Data Envelopment Analysis. Applied Economics
1999;31(12):1581–7.
[2150] Lien D, Yan P. Competition and production efficiency. Telecommunications in OECD countries. Information Economics and
Policy 2001;13(1):51–76.
[2151] Lien D, Peng Y. Competition and production efficiency—telecommunications in OECD countries. Information Economics and
Policy 2001;13(1):51–76.
[2152] Lieu PT, Yeh TL, Chiu YH. Off-balance sheet activities and cost inefficiency in Taiwan’s banks. Service Industries Journal
2005;25(7):925–44.
[2153] Lim HG, Shumway CR. Separability in state-level agricultural technology. American Journal of Agricultural Economics
1992;7:120–31.
[2154] Lim Siew H, Lovell CAK. Short-run profit and productivity of US class I railroads. In: Emrouznejad A, Podinovski V, editors.
[2155] Lin C, Madu CN, Chu-Hua K, Lu MH. The relative efficiency of quality management practices: a comparison study on American,
Japanese, and Taiwanese owned firms in Taiwan. International Journal of Quality Reliability Management 2004;21(5):564–77.
[2156] Lin LC, Hong CH. Operational performance evaluation of international major airports: an application of Data Envelopment
Analysis. Journal of Air Transportation Management 2006;12(6):342–51.
[2157] Lin PW. An empirical analysis of bank mergers and cost efficiency in Taiwan. Small Business Economics 2005;25(2):197–206.
[2158] Lin WT, Shao BBM. Assessing the input effect on productive efficiency in production systems: the value of information technology
capital. International Journal of Production Research 2006;44(9):1799–819.
[2159] Linguo G, Sun B. Measuring production with random inputs and outputs using DEA and certainty equivalent. European Journal
[2160] Linna M. Measuring hospital cost efficiency with panel data models. Health Economics 1998;7(5):415–27.
[2161] Linna M. Health care financing reform and the productivity change in Finnish hospitals. Journal of Health Care Finance
2000;26(3):83–100.
[2162] Linna M, Häkkinen U. Measuring efficiency of long-term care units in Finland. Health Care Management Science
2001;4(3):193–200.
[2163] Linna M, Nordblad A, Koivu M. Technical and cost efficiency of oral health care provision in Finnish health centres. Social
Science and Medicine 2003;56(2):343–53.
[2164] Linna M, Hakkinen U, Magnussen J. Comparing hospital cost efficiency between Norway and Finland. Health Policy
2006;77(2):268–78.
[2165] Lins ME. The integration between Data Envelopment Analysis and multi criteria decision aid: a survey. In: Lins ME, Meza AL,
Autran MGLF, editors. Data Envelopment Analysis and integration perspectives in the environment of decision aid, COPPE/
UFRJ, 2000.
[2166] Lins MPE, Gomes EG, Soares de Mello JCCB, Soares de Mello AJR. Olympic ranking based on a zero sum gains DEA model.
[2167] Lins MPE, Angulo-Meza L, Da Silva ACM. A multi-objective approach to determine alternative targets in Data Envelopment
Analysis. Journal of the Operational Research Society 2004;55(10):1090–101.
[2168] Lins MPE, Novaes LFDL, Legey LFL. Real estate appraisal: a double perspective Data Envelopment Analysis approach. Annals
67
[2169] Linton JD. DEA: a method for ranking the greeness of design decisions. Journal of Mechanical Design, Transactions of the ASME
2002;124(2):145–50.
[2170] Linton JD, Cook WD. Technology implementation: a comparative study of Canadian and US factories. INFOR
1998;36(3):142–50.
[2171] Linton JD, Morabito J, Yeomans JS. An extension to a DEA support system used for assessing R&D projects. R and D
Management 2007;37(1):29–36.
[2172] Linton JD, Walsh ST, Morabito J. Analysis, ranking and selection of R&D projects in a portfolio. R and D Management
2002;32(2):139–48.
[2173] Linvill CB. Parametric and nonparametric approaches to benchmarking the regulated firm. Journal of Productivity Analysis
1999;12(3):211–31.
[2174] Linvill CB, Ferrier GD. Organizational form and efficiency: evidence from Indian sugar manufacturing. Journal of Comparative
Economics 1995;21:29–53.
[2175] Lissitsa A, Odening M. Efficiency and total factor productivity in Ukrainian agriculture in transition. Agricultural Economics
2005;32(3):311–25.
[2176] Liu C, Yin R. Poverty dynamics revealed in production performance and forestry in improving livelihoods: the case of West Anhui,
China. Forest Policy and Economics 2004;6(3–4):391–401.
[2177] Liu C-C. Applying optimal weights restriction model in analyzing the efficiency of organization. WSEAS Transactions on
Mathematics 2006;5(2):236–41.
[2178] Liu CC. Simulating weight restrictions in Data Envelopment Analysis using the subjective and objective integrated approach.
[2179] Liu D-W, Xiong G-Q, Diao W-J. The comprehensive evaluation of economic returns of hi-tech development zone using DEA
method in China. Journal of Xi’an University of Technology 2004;20(1):105–8.
[2180] Liu FHF, Hui Lin H. New way to select multiple suppliers for a supply chain. Journal of Statistics and Management Systems
2006;9(1):185–203.
[2181] Liu F-HF, Hai HL. The voting analytic hierarchy process method for selecting supplier. International Journal of Production
Economics 2005;97(3):308–17.
[2182] Liu F-HF, Tsai L-C. Ranking of DEA units with a set of weights to performance indices. In: Emrouznejad A, Podinovski V,
[2183] Liu FHF, Ling-Chuan T. A procedure for full ranking of DEA units with secondary. International Journal of Operational
Research 2005;2(1):49–57.
[2184] Liu F-HF, Huang C-C, Yen Y-L. Using DEA to obtain efficient solutions for multi-objective 0–1 linear programs. European
[2185] Liu H-Y, Wu R-Q, Zhang G. A DEA analysis of the science and technology developing strategies implemented by the Hubei
Province. Industrial Engineering and Management 2005;10(2):22–5.
[2186] Liu J, Wu C. An integrated method for supplier selection in Scm. In: Proceedings of international conference on services systems
and services management, vol. 1. Piscataway, NJ, US: IEEE; 2005. p. 617–20.
[2187] Liu LC, Lee C, Tzeng GH. DEA approach for the current and the cross period efficiency for evaluating the vocational education.
[2188] Liu WB, Sharp J, Wu ZM. Preference, production and performance in Data Envelopment Analysis. Annals of Operations
Research 2006;145:105–27.
[2189] Liu XS, Du CR, Wang YW, Man QP. Performance appraisal of the human resource management in the construction project.
Journal of Harbin Institute of Technology 2006;38(3):436–8.
[2190] Liu Y, Gu XP, Zhang D. Data Envelopment Analysis based relative effectiveness assessment of power system black-start plans.
Proceedings of the CSEE 2006;26(5):32–7.
[2191] Liu Y, Lin Z, Shen Z. Study on green product evaluation based on modified Data Envelopment Analysis model. China Mechanical
Engineering 2005;16(20):1809–13.
[2192] Liu Y, Lin Z, Gao X, Shen Z. Study on greenness evaluation method with incomplete information on weights of multilevel indices.
China Mechanical Engineering 2006;17(1):29–33.
[2193] Liu Y-P, Lin Z-G, Shen Z-Y. Effective Data Envelopment Analysis method for ranking decision making units. System Engineering
Theory and Practice 2006;26(3):112–6.
[2194] Liu Z, Qi E, Li G. A study on method of manufacturing overhead cost estimation for mass customization. China Mechanical
Engineering 2003;14(9):783–5.
[2195] Liu Z-Y, Wu B, Zhang X-W. DEA method in the relative flexibility of enterprise knowledge management system. Journal of
Systems Engineering 2005;20(2):199–204.
[2196] Lo FY, Chien CF, Lin JT. A DEA study to evaluate the relative efficiency and investigate the district reorganization of the Taiwan
power company. IEEE Transactions on Power Systems 2001;16(1):170–8.
[2197] Lo S-F, Lu W-M. Does size matter? Finding the profitability and marketability benchmark of financial holding companies. AsiaPacific Journal of Operational Research 2006;23(2):229–46.
[2198] Lo SF, Sheu HJ, Hu JL. Taking CO2 emissions into a country’s productivity change: the Asian growth experience. International
Journal for Sustainable Development and World 2005;12(3):279–90.
[2199] Loader CR. Computing nonparametric function estimates. In: Proceedings of the 26th symposium on the interface in computing
science and statistics, interface found, North America, vol. 26, 1995. p. 356–361.
68
[2200] Lopez-Cabrales A, Valle Rn, Herrero I. The contribution of core employees to organizational capabilities and efficiency. Human
Resource Management 2006;45(1):81–109.
[2201] Los B, Timmer MP. The ‘appropriate technology’ explanation of productivity growth differentials: an empirical approach. Journal
of Development Economics 2005;77(2):517–31.
[2202] Lotfi FH, Jahanshahloo GR, Zohrehbandian M. Estimation of efficiency and infinitesimals in Data Envelopment Analysis.
Mathematical and Computational Applications 2004;9(2):299–302.
[2203] Lothgren M. Generalized stochastic frontier production models. Economics Letters 1997;57:255–9.
[2204] Lothgren M. Bootstrapping the Malmquist productivity index—a simulation study. Applied Economics Letters 1999;6(11):707–10.
[2205] Lothgren M. On the consistency of the DEA-based average efficiency bootstrap. Applied Economics Letters 2000;7(1):53–7.
[2206] Lothgren M, Tambour M. Bootstrapping DEA-based efficiency measures and Malmquist productivity indices. A study of Swedish
eye-care service provision. Applied Economics 1999;31(4):417–25.
[2207] Lothgren M, Tambour M. Productivity and customer satisfaction in Swedish pharmacies: a DEA network model. European
[2208] Lothgren M, Tambour M, Rehnberg C. Internal markets and health care efficiency: a multiple-output stochastic frontier analysis.
Health Economics 1999;8:151–64.
[2209] Lotov AV. Computer visualization of the production possibility set in Data Envelopment Analysis. Doklady Akademii Nauk
2003;388(2):171–4.
[2210] Lou P, Chen Y, Zhou Z, Yuan C. An AHP/DEA method for vendor selection in the agile supply chain. Journal of Huazhong
University of Science and Technology 2002;30(4):29–31.
[2211] Lovell CA, Bauer P. Bank efficiency derived from the profit function—output allocative and technical efficiency of banks—
comments. Journal of Banking and Finance 1993;1:367–70.
[2212] Lovell CAK. Production frontiers and productive efficiency. In: Fried HO, Schmidt SS, editors. The measurement of productive
efficiency: techniques and applications, Oxford UK, 1993. p. 33–67.
[2213] Lovell CAK. Econometric efficiency analysis—a policy-oriented review. European Journal of Operational Research 1995;8:452–61.
[2214] Lovell CAK. Measuring the macroeconomic performance of the Taiwanese economy. International Journal of Production
Economics 1995;3:165–78.
[2215] Lovell CAK. Applying efficiency measurement techniques to the measurement of productivity change. Journal of Productivity
Analysis 1996;7(2–3):329–40.
[2216] Lovell CAK. New approaches to measures of efficiency in DEA: an introduction. Journal of Productivity Analysis 2000;13(2):91–2.
[2217] Lovell CAK. The decomposition of Malmquist productivity indexes. Journal of Productivity Analysis 2003;20(3):437–58.
[2218] Lovell CAK, Rouse APB. Equivalent standard DEA models to provide super-efficiency scores. Journal of the Operational
[2219] Lovell CAK, Pastor JT. Units invariant and translation invariant DEA models. Operations Research Letters 1995;1:147–51.
[2220] Lovell CAK, Pastor JT. Target setting: an application to a bank branch network. European Journal of Operational Research
1997;98(2):290–9.
[2221] Lovell CAK, Pastor JT. Radial DEA models without inputs or without outputs. European Journal of Operational Research
1999;118(1):46–51.
[2222] Lovell CAK, Morey RC. The allocation of consumer incentives to meet simultaneous sales quotas—an application to United States
army recruiting. Management Science 1991;3:350–67.
[2223] Lovell CAK, Sickles RC. Testing efficiency hypotheses in joint production approach. Review of Economics and Statistics
1983;6:51–8.
[2224] Lovell CAK, Kumbhakar SC. Stochastic frontier analysis. New York, USA: Cambridge University Press; 2000.
[2225] Lovell CAK, Pastor JT, Turner JA. Measuring macroeconomic performance in the OECD: a comparison of European and nonEuropean countries. European Journal of Operational Research 1995;87(3):507–18.
[2226] Lovell CAK, Sickles RC, Warren RS. The effect of unionization on labor productivity—some evidence. Journal of Labor Research
1988:55–63.
[2227] Lovell KCA, Pastor JT. Units invariant and translation invariant Des models. Operations Research Letters 1995;18(3):147–51.
[2228] Lozano GIR. Study of the efficiency in five sub sectors of Colombian economy applying DEA. In: Emrouznejad A, Green R,
Krivonozhko V, editors. Efficiency and productivity analysis in the 21st century. International Research in Management Science;
2002.
[2229] Lozano Gloria Isabel R. Design of a methodology to generate indicators of efficiency and productivity, applying Data
Envelopment Analysis, for the function of extension in the National University of Colombia: Phase I. In: Emrouznejad A,
[2230] Lozano S, Villa G. Centralized resource allocation using Data Envelopment Analysis. Journal of Productivity Analysis
2004;22(1–2):143–61.
[2231] Lozano S, Villa G. Centralized DEA models with the possibility of downsizing. Journal of the Operational Research Society
2005;56(4):357–64.
[2232] Lozano S, Villa G. Determining a sequence of targets in DEA. Journal of the Operational Research Society 2005;56(12):1439–47.
[2233] Lozano S, Villa G. Data Envelopment Analysis of integer-valued inputs and outputs. Computer and Operations Research
2006;33(10):3004–14.
[2234] Lozano S, Salmeron JL. Data Envelopment Analysis of OR/MS journals. Scientometrics 2005;64(2):133–50.
69
[2235] Lozano S, Villa G, Adenso-Diaz B. Centralised target setting for regional recycling operations using DEA. Omega
2004;32(2):101–10.
[2236] Lozano S, Villa G, Guerrero F, Cortes P. Measuring the performance of nations at the summer Olympics using Data Envelopment
Analysis. Journal of the Operational Research Society 2002;53(5):501–11.
[2237] Lozano-Vivas A, Humphrey DB. Bias in Malmquist index and cost function productivity measurement in banking. International
[2238] Lozano-Vivas A, Pastor JT. European bank performance beyond country borders: what really matters. European Finance Review
2001;5(1–2):141–65.
[2239] Lozano-Vivas A, Pastor JT. Banking and economic activity performance: an empirical study at the country level. Manchester
School 2006;74(4):469–82.
[2240] Lozano-Vivas A, Pastor JT. Relating macro-economic efficiency to financial efficiency: a comparison of fifteen OECD countries
over an eighteen year period. Journal of Productivity Analysis 2006;25(1):67–78.
[2241] Lozano-Vivas A, Pastor JT, Pastor JM. An efficiency comparison of European banking systems operating under different
environmental conditions. Journal of Productivity Analysis 2002;18(1):59–77.
[2242] Lu J. Study on weapon system’s cost-effectiveness analysis with DEA. System Engineering Theory and Practice 1996;16(10):44–8.
[2243] Lu L-Z, Lan M-Z, Wu W-J. Application of DEA method and system reconstruction analysis in the cement production. Journal of
Wuhan University of Technology 2004;26(7):41.
[2244] Lu W-J, Fu Z-X, Geng Y-L, Zhang B-H. Input–output efficiency analysis of Hebei high and new technology enterprise
development zones. Hebei Journal of Industrial Science and Technology 2005;22(4):186–97.
[2245] Ludwin WG, Guthrie TL. Assessing productivity with Data Envelopment Analysis. Public Productivity Review 1989;12(4).
[2246] Luksetich W, Hughes PN. Efficiency of fund-raising activities: an application of Data Envelopment Analysis. Nonprofit and
Voluntary Sector Quarterly 1997;26(1):73–84.
[2247] Lund M, Jacobsen BH, Hansen LCE. Reducing non-allocative costs on Danish dairy farms—application of nonparametric
methods. European Review of Agricultural Economic 1993;20(3):327–41.
[2248] Lundstrom M, Roos P. An index approach for the measurement of patient benefits from surgery illustrated in the case of cataract
extraction. Information Systems and Operational Research 1998;36(3):120–8.
[2249] Luo X. Evaluating the profitability and marketability efficiency of large banks: an application of Data Envelopment Analysis.
Journal of Business Research 2003;56(8):627.
[2250] Luo X, Donthu N. Benchmarking advertising efficiency. Journal of Advertising Research 2001;41(6):7–18.
[2251] Luo X, Donthu N. Marketing’s credibility: a longitudinal investigation of marketing communication productivity and shareholder
value. Journal of Marketing 2006;70(4):70–91.
[2252] Luo XM. Evaluating the profitability and marketability efficiency of large banks—an application of Data Envelopment Analysis.
Journal of Business Research 2003;56(8):627–35.
[2253] Luoma K, Järviö M-L, Suoniemi I, Hjerppe RT. Financial incentives and productive efficiency in Finnish health centres. Health
Economics 1996;5(5):435–45.
[2254] Lynch JR. Rural hospital closures: an inquiry into efficiency. Advances in Health Economics and Health Services Research
1992;13:205–24.
[2255] Lynch JR, Ozcan YA. Hospital closure: an efficiency analysis. Hospital and Health Services Administration 1994;39(2):205–20.
[2256] Lynch JR, Ozcan YA. US hospital closures: an efficiency analysis. Hospital and Health Services Administration 1994;3:205–20.
[2257] Lynde C, Richmond J. Productivity and efficiency in the UK: a time series application of DEA. Economic Modelling
1999;16(1):105.
[2258] Lyroudi K, Glaveli N, Koulakiotis A, Angelidis D. The productive performance of public hospital clinics in Greece: a case study.
Health Services Management Research 2006;19(2):67–72.
[2259] Ma C, Wu C, Zhang S, Yang Y, Li H, Han Y. Decision making method for variable-rate fertilization based on Data Envelopment
Analysis and artificial neural network. Transactions of the Chinese Society of Agricultural Engineering 2004;20(2):152.
[2260] Ma Z-X. Research on the Data Envelopment Analysis method. Systems Engineering and Electronics 2002;24(3):42.
[2261] Ma Z-X. Method of Data Envelopment Analysis based on the theory of partially ordered sets. System Engineering Theory and
Practice 2003;23(4):11.
[2262] Ma Z-X. Analysis model and software design of data envelopment. Systems Engineering and Electronics 2004;26(12):1917–21.
[2263] Ma Z-X, Zhang H-J. Research on the method for evaluating combination efficiency. Systems Engineering and Electronics
2006;28(5):699–787.
[2264] Ma Z-X, Ren H-L. Research on the evaluation methods of formal safety assessment for ships. Systems Engineering and Electronics
2002;24(10):66–72.
[2265] Mabert VA, Soni A, Venkataramanan MA. Model based interpretation of survey data: a case study of enterprise resource planning
implementations. Mathematical and Computer Modelling 2006;44(1–2):16–29.
[2266] MacKay DB, Villarreal A. Performance differences in the use of graphics and tabular displays of multivariate data. Decision
Sciences 1987;18(4):535–46.
[2267] MacMillan WD. The estimation and application of multi-regional economic planning models using Data Envelopment Analysis.
Papers of the Regional Science Association 1986;60:41–57.
[2268] Macmillan WD. The estimation of efficiency in multiunit public services. Papers of Regional Science Association 1986;6:41–57.
[2269] Macmillan WD. The measurement of efficiency in multiunit public services. Environment and Planning A 1987;1:1511–24.
[2270] Maddala GS, Trost RP. Alternative formulations of the Nerlove-press model. Journal of Econometrics 1981;16(1):35–49.
70
[2271] Madden G, Savage SJ. Telecommunications productivity, catch-up and innovation. Telecommunications Policy 1999;23(1):65–81.
[2272] Maddison A. Causal influences on productivity performance 1820–1992: a global perspective. Journal of Productivity Analysis
1997;8(4):325–59.
[2273] Magnussen J. Efficiency measurement and the operationalization of hospital production. Health Services Research
1996;31(1):21–37.
[2274] Mahajan J. Data envelopment analytic model for assessing the relative efficiency of the selling function. European Journal of
[2275] Mahlberg B. Efficiency progress and productivity change in Germany insurance industry. Jahrbucher Fur Nationalokonomie Und
Statistik 2000;220(5):565–91.
[2276] Mahmood MA. Evaluating organizational efficiency resulting from information technology investment: an application of Data
Envelopment Analysis. Information Systems Journal 1994;4(2):93–115.
[2277] Mahmood MA, Karen J. Winter measuring productivity of software projects: a Data Envelopment Analysis approach. Decision
Sciences 1996;27(1):57–80.
[2278] Mahmood MA, Pettingell KJ, Shaskevich AI. Measuring productivity of software projects: a Data Envelopment Analysis
approach. Decision Sciences 1996;27(1):57–80.
[2279] Maietta Ornella W, Sena V. Is competition really bad news for cooperatives? Some empirical evidence for Italian cooperatives. In:
[2280] Maindiratta A. Largest size-efficient scale and size efficiencies of decision making units in Data Envelopment Analysis. Journal of
Econometrics 1990;46(1/2):57–72.
[2281] Maital S, Vaninsky A. Data Envelopment Analysis with a single DMU: a graphic projected-gradient approach. European Journal
[2282] Maital S, Vaninsky A. Data Envelopment Analysis with resource constraints: an alternative model with non-discretionary factors.
[2283] Majumdar SK. Assessing firms capabilities—theory and measurement—a study of Indian pharmaceutical industry. Economic and
Political review 1994;2:89.
[2284] Majumdar SK. Divestiture and productive efficiency in the US telecommunications industry. European Transactions on
Telecommunications 1995;6(4):385–95.
[2285] Majumdar SK. Does new technology adoption pay electronic switching patterns and firm level performance in US
telecommunications. Research Policy 1995;2:803–22.
[2286] Majumdar SK. X-efficiency in emerging competitive markets: the case of US telecommunications. Journal of Economic Behaviour
and Organization 1995;26(1):129–44.
[2287] Majumdar SK. Fall and rise of productivity in Indian industry—has economic liberalisation had an impact? Economic and
Political Review 1996;3:48.
[2288] Majumdar SK. Government policies and industrial performance: an institutional analysis of the Indian experience. Journal of
Institutional and Theoretical Economics 1996;152(2):380–411.
[2289] Majumdar SK. Incentive regulation and productive efficiency in the US telecommunications industry. Journal of Business
1997;70(4):547–76.
[2290] Majumdar SK. On the utilization of resources: perspectives from the US telecommunications industry. Strategic Management
Journal 1998;19(9):809–31.
[2291] Majumdar SK. Slack in the state-owned enterprise: an evaluation of the impact of soft-budget constraints. International Journal of
Industrial Organization 1998;16(3):377–94.
[2292] Majumdar SK. Comparative organizational characteristics of Indian state-owned enterprises. Review of Industrial Organization
1999;15(2):165–82.
[2293] Majumdar SK, Chang HH. Scale efficiencies in US telecommunications: an empirical investigation. Managerial and Decision
Economics 1996;17(3):303–18.
[2294] Majumdar SK, Chang HH. Optimal local exchange carrier size. Review of Industrial Organization 1998;13(6):637–49.
[2295] Majumdar SK, Venkataraman S. Network effects and the adoption of new technology: evidence from the US telecommunications
industry. Strategic Management Journal 1998;19(11):1045–62.
[2296] Makki SS, Tweeten LG, Thraen CS. Investing in research and education versus commodity programs: implications for agricultural
productivity. Journal of Productivity Analysis 1999;12(1):77–94.
[2297] Malana NM, Malano HM. Benchmarking productive efficiency of selected wheat areas in Pakistan and India using Data
Envelopment Analysis. Journal of Irrigation and Drainage Engineering 2006;55(4):383–94.
[2298] Malczewski J. GIS and multicriteria decision analysis. New York: Wiley; 1999.
[2299] Malhotra R, Malhotra DK. Using Data Envelopment Analysis to evaluate loans. Risk Management Association Journal
2005;88(2):84–7.
[2300] Managi S. Luenberger and Malmquist productivity indices in Japan, 1955–1995. Applied Economics Letters 2003;10(9):581–4.
[2301] Managi S, Karemera D. Input and output biased technological change in US agriculture. Applied Economics Letters
2004;11(5):283–6.
[2302] Manandhar R, Tang JCS. An empirical study on the evaluation of bank branch performance using Data Envelopment Analysis.
International Journal of Services Technology and Management 2004;5(2):111–39.
[2303] Manandhar R, Tang JCS. The evaluation of bank branch performance using Data Envelopment Analysis: a framework. Journal of
High Technology Management Research 2002;13(1):1–17.
71
[2304] Mancebon MJ, Molinero CM. Performance in primary schools. Journal of the Operational Research Society 2000;51(7):843–54.
[2305] Maniadakis N, Thanassoulis E. Assessing productivity changes in UK hospitals reflecting technology and input prices. Applied
Economics 2000;32(12):1575–89.
[2306] Maniadakis N, Thanassoulis E. A cost Malmquist productivity index. European Journal of Operational Research
2004;154(2):396–409.
[2307] Maniadakis N, Hollingsworth B, Thanassoulis E. The impact of the internal market on hospital efficiency, productivity and service
quality. Health Care Management Science 1999;2(2):75–85.
[2308] Manos B, Psychoudakis A. Investigation of the relative efficiency of dairy farms using Data Envelopment Analysis. Quarterly
Journal of International Agriculture 1997;36(2):188–97.
[2309] Manuel E-E, Lucı́a Isabel G-C. Performance in sports teams. Management Decision 2006;44(8):1020.
[2310] Mao WN, Koo WW. Productivity growth, technological progress, and efficiency change in Chinese agriculture after rural
economic reforms: a DEA approach. China Economic Review 1997;8(2):157–74.
[2311] Mapapa AM. Management of railways in Sub-Saharan Africa. Rail International 2004;35:13–21.
[2312] Mar Molinero C, Tsai PF. Some mathematical properties of a DEA model for the joint determination of efficiencies. Journal of the
[2313] Marchand M, Tulkens H. The performance of public enterprises: concepts and measurement. Amsterdam: North-Holland; 1984.
[2314] Marco-Serrano F. Monitoring managerial efficiency in the performing arts: a regional theatres network perspective. Annals of
[2315] Marco-Serrano F, Rausell-Koster P, Carrasco-Arroyo S. Analysis of the authorsrights collection frontier using PCA-MDEA: an
application to the Valencia region. Pesquisa Operacional 2002;22(2):147–64.
[2316] Margaretic P, Romero Carlos A. Estimation of productive efficiency based on non parametric techniques. The case of electricity
distribution in Argentina. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 169.
[2317] Mariam YKG, Barre M, Ashenafi M. Analysis of sectoral relative aggregate production and energy efficiency in selected OECD
countries. In: Proceedings of the Air and Waste Management Association’s annual meeting and exhibition. Pittsburgh, PA, USA:
Air & Waste Management Association; 1998. p. 19.
[2318] Marinescu MV, Sowlati T, Maness TC. The development of a timber allocation model using Data Envelopment Analysis.
[2319] Marlin D, Huonker JW, Sun M. Strategic groups and performance in the nursing home industry: a reexamination. Medical Care
Research and Review 1999;56(2):156–76.
[2320] Marques Rui C, Monteiro AntÓNio J. Benchmarking the economic performance of Portuguese water and sewerage services. In:
[2321] Martic M, Savic G. An application of DEA for comparative analysis and ranking of regions in Serbia with regards to socialeconomic development. European Journal of Operational Research 2001;132(2):343–56.
[2322] Martin JC, Roman C. An application of DEA to measure the efficiency of Spanish airports prior to privatization. Journal of Air
Transportation Management 2001;7(3):149–57.
[2323] Martin JC, Roman C. A benchmarking analysis of Spanish commercial airports. A comparison between SMOP and DEA ranking
methods. Networks and Spatial Economics 2006;6(2):111–34.
[2324] Martin JC, Gutiarrez J, Roman C. Data Envelopment Analysis (DEA) index to measure the accessibility impacts of new
infrastructure investments: the case of the high-speed train corridor Madrid? Barcelona–French border. Regional Studies
2004;38(6):697–712.
[2325] Martin LL. Comparing the performance of multiple human service providers using Data Envelopment Analysis. Administration in
Social Work 2002;26(4):45–60.
[2326] Martinez MJ, Nakanishi YJ. Productivity analysis in heterogeneous operating conditions: Data Envelopment Analysis method
applied to the us heavy rail industry. Transportation Research Record 2004;1872:19–27.
[2327] Masiye F, Kirigia JM, Emrouznejad A, Sambo LG, Mounkaila A, Chimfwembe D, et al. Efficient management of health centres
human resources in Zambia. Journal of Medical Systems 2006;30(6):473–81.
[2328] Mathijs E, Swinnen JFM. Production organization and efficiency during transition: an empirical analysis of East German
agriculture. Review of Economics and Statistics 2001;83:100–7.
[2329] Maudos J, Pastor JM, Serrano L. Total factor productivity measurement and human capital in OECD countries. Economics
Letters 1999;63(1):39–44.
[2330] Maudos J, Pastor JM, Serrano L. Convergence in OECD countries: technical change, efficiency and productivity. Applied
Economics 2000;32(6):757–65.
[2331] Maudos J, Pastor JM, Serrano L. Efficiency and productive specialization: an application to the Spanish regions. Regional Studies
2000;34(9):829–42.
[2332] Maudos J, Pastor JM, Serrano L. Human capital in OECD countries: technical change, efficiency and productivity. International
Review of Applied Economics 2003;17(4):419–35.
[2333] Mavrotas G, Trifillis P. Multicriteria decision analysis with minimum information: combining DEA with Mavt. Computer and
[2334] Maynsson J. How can use the result from a DEA analysis? Identification of firm-relevant reference units. Journal of Applied
Economics 2003;6(1):157.
[2335] Mayston D, Jesson D, Jesson D. Developing models of educational accountability. Oxford Review of Education 1988;1:321–39.
[2336] Mayston DJ. Measuring and managing educational performance. Journal of the Operational Research Society 2003;54(7):679–91.
72
[2337] Mazur M. Evaluating the relative efficiency of baseball players? In: Charnes A, Cooper WW, Lewin AY, Seiford LM, editors. Data
Envelopment Analysis: theory, methodology, and applications. Dordrecht, The Netherlands: Kluwer; 1995.
[2338] Mazzocco MA, Cloutier LM. Relative efficiency in food-processing industries-an application of Data Envelopment Analysis.
Journal of Agricultural and Resource Economics 1995;2:401.
[2339] Mbaga MD, Romain R, Larue B, Lebel L. Assessing technical efficiency of Quebec dairy farms. Canadian Journal of Agricultural
Economics 2003;51(1):121–37.
[2340] McCabe B, Tran V, Ramani J. Construction prequalification using Data Envelopment Analysis. Canadian Journal of Civil
Engineering 2005;32(1):183–93.
[2341] McCallion G, McKillop DG, Glass JC, Kerr C. Rationalizing Northern Ireland hospital services towards larger providers: bestpractice efficiency studies and current policy. Public Money and Management 1999;19(2):27.
[2342] McCallion G, Glass JC, Jackson R, Kerr CA, McKillop DG. Investigating productivity change and hospital size: a nonparametric
frontier approach. Applied Economics 2000;32(2):161–74.
[2343] McCarty TA, Yaisawarng S. Technical efficiency in New Jersey school districts. In: Fried HO, Schmidt SS, editors. The
[2344] McDonald J. A problem with the decomposition of technical inefficiency into scale and congestion components. Management
Science 1996;42(3):473–4.
[2345] McDonald J. Note: a problem with the decomposition of technical inefficiency into scale and congestion components. Management
Science 1996;42(3):473–4.
[2346] McDonald J. Manorial efficiency in Domesday England. Journal of Productivity Analysis 1997;8(2):199–213.
[2347] McDonald J, Moffitt R. The uses of Tobit analysis. Review of Economics and Statistics 1979:318–20.
[2348] McGinnis LF, Chen W-C. Large-scale Statistical warehouse benchmarking. In: IIE annual conference and exhibition 2004.
Norcross GA, USA: Institute of Industrial Engineers; 2004. p. 1221.
[2349] McIntosh J. A welfare analysis of Canadian chartered bank mergers. Canadian Journal of Economics-Revue 2002;35(3):457–75.
[2350] McKillop DG, Glass JC, Ferguson C. Investigating the cost performance of UK credit unions using radial and non-radial
efficiency measures. Journal of Banking and Finance 2002;26(8):1563–91.
[2351] McKillop DG, Glass JC, Kerr CA, McCallion G. Efficiency in Northern Ireland hospitals: a non-parametric analysis. Economic
Social Research 1999;30(2):175–96.
[2352] McLaren CH. Selection of input and output measures in Data Envelopment Analysis of large Indiana school corporations. In:
Proceedings Decision Sciences Institute, 1994 annual meeting, vol. 2, Decision Sciences Institute, 1994. p. 1215–7.
[2353] McMillan DG, Speight AEH. Nonlinear dynamics and competing behavioral interpretations: evidence from intra-day FTSE-100
index and futures data. Journal of Futures Markets 2006;26(4):343–68.
[2354] McMillan M, Chan W. University efficiency: a comparison and consolidation of results from stochastic and Non-stochastic
methods. Education Economics 2006;14(1):1–30.
[2355] McMillan ML, Datta D. The relative efficiencies of Canadian Universities: a DEA perspective. Canadian Public Policy
1998;24(4):485.
[2356] McMullen BS, Noh DW. Accounting for emissions in the measurement of transit agency efficiency: a directional distance function
approach. Transportation Research, Part D 2007;12(1):1–9.
[2357] McMullen PR, Frazier GV. Assembly line balancing using simulation and Data Envelopment Analysis. In: Proceedings—annual
meeting of the Decision Sciences Institute, vol. 3. Atlanta, GA, USA: Decision Sciences Institute; 1996. p. 1391–3.
[2358] McMullen PR, Frazier GV. Using simulation and Data Envelopment Analysis to compare assembly line balancing solutions.
[2359] McMullen PR, Strong RA. Selection of mutual funds using Data Envelopment Analysis. Journal of Business and Economic
Studies 1998;4(1):1.
[2360] McWilliams A, Siegel D, Van Fleet DD. Scholarly journals as producers of knowledge: theory and empirical evidence based on
Data Envelopment Analysis. Organizational Research Methods 2005;8(2):185–201.
[2361] Me Y-Q, Qin P, Su J. The evaluation on growth efficiency of regional innovation capacity in thirty-one Chinese Province. Journal
of Harbin Institute of Technology 2006;38(1):101–3.
[2362] Meada Y, Entani T, Tanaka H. Fuzzy DEA with interval efficiency. In: Proceedings of sixth European congress on intelligent
techniques and soft computing, Verlag Mainz 1998;2:1067–71.
[2363] Mehrabian S, Jahanshahloo GR, Alirezaee MR, Amin GR. An assurance interval for the non-Archimedean epsilon in DEA
models. Operations Research 2000;48(2):344–7.
[2364] Mehrabian S, Alirezaee MR, Jahanshahloo GR. A complete efficiency ranking of decision making units in Data Envelopment
Analysis. Computational Optimization and Applications 1999;14(2):261–6.
[2365] Mehrez A, Barboy A. Erratum: academic departments’ efficiency via DEA. Computer and Operations Research 1996;23(5):513.
[2366] Mei X, Harker PT. Ranking DMUs with infeasible super-efficiency DEA models. Management Science 2002;48(5):705–10.
[2367] Meier W, Weber R, Zimmermann H-J. Fuzzy data analysis—methods and industrial applications. Fuzzy Sets and Systems
1994;61(1):19–28.
[2368] Meimand M, Cavana RY, Laking R. Using DEA and survival analysis for measuring performance of branches in New Zealand’s
accident compensation corporation. Journal of the Operational Research Society 2002;53(3):303–13.
[2369] Melachrinoudis E. Bicriteria location of a semi-obnoxious facility. Computers and Industrial Engineering 1999;37(3):581.
[2370] Melao N. Data Envelopment Analysis revisited: a neophyte’s perspective. International Journal of Management and Decision
Making 2005;6(2):158–79.
73
[2371] Meng J, Yang N. Analysis on technology acquisition and the efficiency of economic scale. Beijing Hangkong Hangtian Daxue
Xuebao/Journal of Beijing University of Aeronautics and Astronautics 1995;21(3):67–72.
[2372] Meng Q-C, Gao Y. DEA two-stages method for evaluating the relative efficiency of finance policy. Journal of University of
Shanghai for Science and Technology 2005;27(3):259–62.
[2373] Meng Q-C, Gao Y. Interchange method based on Data Envelopment Analysis for finance forecasting. Journal of University of
Shanghai for Science and Technology 2006;28(3):233–6.
[2374] Mensah YM, Li S-H. Measuring production efficiency in a not-for-profit setting: an extension. Accounting Review
1993;68(1):66–88.
[2375] Mensah YM, Li SH. Measuring production efficiency in a not-for-profit setting—an extension. Accounting Review
1993;68(1):66–88.
[2376] Mercan M, Reisman A, Yolalan R, B EA. The effect of scale and mode of ownership on the financial performance of the Turkish
banking sector: results of DEA based analysis? Socio-Economic Planning Sciences 2004;37:185–203.
[2377] Mergos GG. Total factor productivity growth and technical change in a profit function framework. Journal of Productivity
Analysis 2000;14(1):31–51.
[2378] Meric G, Meric I. Risk and return in the world’s major stock markets. Journal of Investing 2001;10(1):62.
[2379] Meskens N, Roubens M. Advances in decision analysis. Dordrecht, The Netherlands: Kluwer; 1999.
[2380] Mester LJ. Measuring efficiency at us banks: accounting for heterogeneity is important. European Journal of Operational Research
1997;98(2):230–42.
[2381] Mester LJ, Seiford LM. Banking efficiency in the Nordic countries resolving the scale efficiency puzzle in banking discussion.
Journal of Banking and Finance 1993;1:407–10.
[2382] Metters R, King-Metters K. Successful service operations management, South-Western, 2006.
[2383] Metters R, Vargas V. A comparison of production scheduling policies on costs, service level, and schedule changes. Production and
[2384] Metters RD, Frei FX, Vargas VA. Measurement of multiple sites in service firms with Data Envelopment Analysis. Production and
[2385] Metters RD, Vargas VA, Whybark DC. An investigation of the sensitivity of DEA to data errors. Computers and Industrial
Engineering 2001;41(2):163–71.
[2386] Metzger L. Measuring quality cost effects on productivity using data envelope analysis. Journal of Applied Business Research
1992:69–79.
[2387] Metzger LM. Measuring production department efficiency using Data Envelopment Analysis. Journal of Managerial Issues
1992;4(4):494–510.
[2388] Metzger LMF. Operational auditing and DEA: measuring branch office efficiency. Internal Auditing 1994;10(2):3–12.
[2389] Miao-Sheng C, Che L, Chien-Chung L. The production model of the administration organization system of the general hospital.
Journal of Statistics and Management Systems 2003;6(3):463–77.
[2390] Miliotis PA. Data Envelopment Analysis applied to electricity distribution districts. Journal of the Operational Research Society
1992;43(5):549–55.
[2391] Millan JA, Aldaz N. Agricultural productivity of the Spanish regions: a non-parametric Malmquist analysis. Applied Economics
1998;30(7):875–84.
[2392] Millan JA, Aldaz N. Efficiency and technical change in intertemporal intersectoral DEA. Journal of Productivity Analysis
2004;21(1):7–23.
[2393] Miller DM, Rao PM. Analysis of profit-linked total-factor productivity measurement models at the firm level. Management
Science 1989;35(6):757–67.
[2394] Miller G. Efficiency as a competing principle in public financial management. Public Productivity and Management Review
1990;8:333–51.
[2395] Miller SM, Noulas AG. The technical efficiency of large bank production. Journal of Banking and Finance 1996;20(3):495–509.
[2396] Miller SR, Ross AD. Looking for operations efficiency within a firm: a resource-based view. In: Proceedings of 33rd annual
meeting of the Decision Sciences Institute, vol. 6, Decision Sciences Institute, 2002.
[2397] Miller SR, Ross AD. An exploratory analysis of resource utilization across organizational units: understanding the resource-based
view. International Journal of Operations and Production Management 2003;23(9):1062–83.
[2398] Miller TC. Public sector performance, a conceptual turning point. American Political Science Review 1985;79(2):2.
[2399] Ming X, Wu W. Application of DEA to the investment in the construction projects. Journal of Wuhan University of Technology
1998;20(2):93–4.
[2400] Ming-Miin Y, Chih-Ku F. Measuring the cost effectiveness of multimode bus transit in the presence of accident risks.
Transportation Planning and Technology 2006;29(5):383–407.
[2401] Mingozzi A, Maniezzo V, Ricciardelli S, Bianco L. An exact Algorithm for project scheduling with resource constraints based on a
new mathematical formulation. Management Science 1998;44(5):714.
[2402] MirHassani SA, Alirezaee MR. Well drilling performance measurement using Data Envelopment Analysis. In: Emrouznejad A,
[2403] MirHassani SA, Alirezaee MR. An efficient approach for computing non-Archimedean epsilon; in DEA based on integrated
[2404] Miyashita T, Yamakawa H. A study on collaborative design considering features of design. In: Proceedings of the ASME design
engineering technical conference, American Society of Mechanical Engineers 2002;2:155–9.
74
[2405] Miyashita T, Yamakawa H. A study on the collaborative design using supervisor system. Mechanical Systems, Machine Elements
and Manufacturing International Journal, Series C 2002;45(1):333–41.
[2406] Mizala A, Romaguera P, Farren Do. The technical efficiency of schools in Chile. Applied Economics 2002;34(12):1533–52.
[2407] Mobley LR, Magnussen J. An international comparison of hospital efficiency: does institutional environment matter? Applied
Economics 1998;30(8):1089–100.
[2408] Mobley LR, Magnussen J. The impact of managed care penetration and hospital quality on efficiency in hospital staffing. Journal
of Health Care Finance 2002;28(4):24.
[2409] Mohamad N. Regulatory reforms and productivity performance of the Malaysian mobile telecommunications industry. In:
[2410] Mohan N, Ruggiero J. Compensation differences between male and female CEOs for publicly traded firms: a nonparametric
analysis. Journal of the Operational Research Society 2003;54(12):1242–8.
[2411] Mohan SR. Benchmarking evaluation of performance of public research institutes using Data Envelopment Analysis. Journal of
Scientific and Industrial Research 2005;64(6):403–10.
[2412] Molinero CM. On the joint determination of efficiencies in a Data Envelopment Analysis context. Journal of the Operational
[2413] Molinero CM, Woracker D. Data Envelopment Analysis: a non-mathematical introduction. OR Insight 1996;9(4):22–8.
[2414] Moon TH, Sohn SY. Intelligent approach for effective management of governmental funds for small and medium enterprises.
[2415] Moore A, Nolan J, Segal GF. Putting out the trash measuring municipal service efficiency in US cities. Urban Affairs Review
2005;41(2):237–59.
[2416] Morehouse Garriga H, Ratick SJ. Creating a composite indicator of vulnerability in a GIS. In: Proceedings of G.I.S. annual
conference and exposition, American Society for Photogrammetry and Remote Sensing 1996:266.
[2417] Moreno AA, Tadepalli R. Assessing academic department efficiency at a public university. Managerial and Decision Economics
2002;23(7):385–97.
[2418] Morey MR, Morey RC. Mutual fund performance appraisals: a multi-horizon perspective with endogenous benchmarking. Omega
1999;27(2):241–58.
[2419] Morey RC. The impact of changes in the delayed-entry program policy on navy recruiting cost. Interfaces 1991;2:79–91.
[2420] Morey RC. Data Envelopment Analysis—the assessment of performance. European Journal of Operational Research
1992;62(2):257.
[2421] Morey RC, Lovell CAK. The allocation of consumer incentives to meet simultaneous sales quotas: an application to US army
recruiting. Management Science 1991;37(3):350–67.
[2422] Morey RC, Dittman DA. Cost pass through reimbursement to hospitals and their impacts on operating efficiencies. Annals of
[2423] Morey RC, Fine DJ, Loree SW. Comparing the allocative efficiencies of hospitals. Omega 1990;18:71–83.
[2424] Morey RC, Fine DJ, Loree SW, Retzlaffroberts DL, Tsubakitani S. The trade-off between hospital cost and quality of care—an
exploratory empirical analysis. Medical Care 1992;3:677–98.
[2425] Morey RC, Retzlaff-Roberts DL, Fine DJ. Getting something for nothing: estimating service level improvements possible in
hospitals. International Transactions in Operational Research 1994;1(3):285.
[2426] Morey RC, Retzlaff-Roberts DL, Fine DJ, Loree SW. Assessing the operating efficiencies of teaching hospitals by an enhancement
of the AHA/AAMC method. Academic Medicine 2000;75(1):28–40.
[2427] Morey RC, Capettini R, Dittman DA. Pareto rate setting strategies: an application to medicaid drug reimbursement. Health
Services Research 1985;1:50–8.
[2428] Morey RC, Ozcan YA, Retzlaffroberts DL, Fine DJ. Estimating the hospital-wide cost differentials warranted for teaching
hospitals—an alternative to regression approaches. Medical Care 1995;3:531–52.
[2429] Morita H. Fuzzy categorical inputs in Data Envelopment Analysis. Transactions of the Institute of Systems, Control and
Information Engineers 1995;8(4):149–56.
[2430] Morita H. Analysis of economies of scope by Data Envelopment Analysis: comparison of efficient frontiers. International
Transactions in Operational Research 2003;10(4):393–402.
[2431] Morita H, Zhu J. Models for characterizing and measuring supply chain efficiency and achieving best practice. Transactions of the
Institute of Systems, Control and Information Engineers 2003;16(8):388–96.
[2432] Morita H, Seiford LM. Characteristics on stochastic DEA efficiency-reliability and probability being efficient. Journal of
Operational Research Society of Japan 1999;42(4):389–404.
[2433] Morita H, Nose S. Fuzzy categorical variables in Data Envelopment Analysis. In: Proceedings of symposium on flexible
automation—a Pacific Rim conference, Inst Syst Control and Inf Eng 1994;2:913–6.
[2434] Morita H, Asano H, Fujii S. Efficiency analysis by stochastic data. Memoirs of the Faculty of Engineering, Kobe University
1994(41):79–86.
[2435] Morita H, Michida H, Fujii S. Efficiency evaluation of manufacturing system by Data Envelopment Analysis. In: Proceedings of
the second world manufacturing congress, Int Comput Sci Conventions 1999:351–6.
[2436] Morita H, Hirokawa K, Zhu J. A slack-based measure of efficiency in context-dependent Data Envelopment Analysis. Omega
2005;33(4):357–62.
[2437] Morita H, Kawasaki T, Fujii S. Two-objective set division problem and its application to production cell assignment. In:
Proceedings of the Japan–USA symposium on flexible automation-1996, vol. 2. New York: ASME; 1996. p. 1297–300.
75
[2438] Mosheim R. Organizational type and efficiency in the Costa Rican Coffee processing sector. Journal of Comparative Economics
2002;30(2):296–316.
[2439] Mota S, Benzecry JH, Qassim RY. A model for the application of Data Envelopment Analysis (DEA) in activity-based
management (ABM). International Journal of Technology Management 1999;17(7–8):861–8.
[2440] Mu D, Du Z. The assessment and countermeasure of technological progress in mining enterprise. In: Proceedings of innovation in
technology management. New York: IEEE 1997:220.
[2441] Muaz MA. Separating managerial inefficiency and external condition in Data Envelopment Analysis. European Journal of
[2442] Mukherjee A, Nath P, Pal M. Resource, service quality and performance triad: a framework for measuring efficiency of banking
services. Journal of the Operational Research Society 2003;54(7):723–35.
[2443] Mukherjee A, Nath P, Pal MN. Performance benchmarking and strategic homogeneity of Indian banks. International Journal of
Bank Marketing 2002;20(3):122.
[2444] Mukherjee K, Ray SC, Miller SM. Productivity growth in large US commercial banks: the initial post-deregulation experience.
[2445] Mukherjee P, Cordeiro J. A DEA approach to performance assessment and compensations of CEO’s of US corporations. In:
Proceedings of performance measurements—theory and practice 1998:247–54.
[2446] Muller B. Efficiency measuring in the dairy industry via Data Envelopment Analysis (DEA). Kieler Milchwirtschaftliche
Forschungsberichte 2000;52(4):355–78.
[2447] Muller B. Multi criteria decision making using Data Envelopment Analysis at the example of life cycle analysis for dairy
production. Kieler Milchwirtschaftliche Forschungsberichte 2003;55(3):233–53.
[2448] Muller B. Ranking of technically efficient processes in the frame of the Data Envelopment Analysis (DEA) at exemplary cases of
the dairy sector. Kieler Milchwirtschaftliche Forschungsberichte 2003;55(2):89–105.
[2449] Mulwa R, Emrouznejad A, Muhammad L. Economic efficiency of smallholder maize producers in Western Kenya: a DEA metafrontier analysis. International Journal of Operational Research 2008;3(6).
[2450] Muniz MA. Separating managerial inefficiency and external conditions in Data Envelopment Analysis. European Journal of
[2451] Munksgaard J, Pade LL, Fristrup P. Efficiency gains in Danish district heating. Is there anything to learn from benchmarking?
Energy Policy 2005;33(15):1986–97.
[2452] Munksgaard J, Wier M, Lenzen M, Dey C. Using input–output analysis to measure the environmental pressure of consumption at
different spatial levels. Journal of Industrial Ecology 2005;9(1–2):169–85.
[2453] Murias P, Martinez F, De Miguel C. An economic wellbeing index for the Spanish provinces: a Data Envelopment Analysis
approach. Social Indicators Research 2006;77(3):395–417.
[2454] Murillo-Zamorano LR. Economic efficiency and frontier techniques. Journal of Economic Survey 2004;18(1):33–77.
[2455] Murillo-Zamorano LR, Vega-Cervera JA. The use of parametric and non-parametric frontier methods to measure the productive
efficiency in the industrial sector: a comparative study. International Journal of Production Economics 2001;69(3):265–75.
[2456] Murphy DJ, Pearson JN, Siferd SP. Evaluating performance of the purchasing department using Data Envelopment Analysis.
Journal of Business Logistics 1996;17(2):77–91.
[2457] Murphy FH, Panchanadam V. Understanding linear programming modeling through an examination of the early papers on model
formulation. Operations Research 1997;45(3):341–56.
[2458] Murthi BPS, Choi YK, Desai P. Efficiency of mutual funds and portfolio performance measurement: a non-parametric approach.
[2459] Murthi PS, Kannan Srinivasan Gurumurthy K. Controlling for observed and unobserved managerial skills in determining firstmover market share advantages. Marketing Research 1996;33(3):329–36.
[2460] Murty MN, Kumar S, Paul M. Environmental regulation, productive efficiency and cost of pollution abatement: a case study of the
sugar industry in India. Journal of Environmental Management 2006;1:1–9.
[2461] Mussard S, Peypoch N. On multi-decomposition of the aggregate Malmquist productivity index. Economics Letters
2006;91(3):436–43.
[2462] Myrtveit I, Stensrud E. Benchmarking cots projects using Data Envelopment Analysis. International Software Metrics Symposium,
Proceedings 1999:269–78.
[2463] Nag B. Estimation of carbon baselines for power generation in India: the supply side approach. Energy Policy
2006;34(12):1399–410.
[2464] Najizadeh Ramin MH, Aryanezhad MB. A new algorithm for ranking efficiency decision making units in Data Envelopment
Analysis. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 46.
[2465] Nakabayashi K, Tone K. A verification of the end of the cold war using DEA. Journal of Operations Research Society of Japan
2005;48(1):57–70.
[2466] Nakanishi YJ, Norsworthy JR. Assessing efficiency of transit service. In: Proceedings of the 2000 IEEE Engineering Management
Society. New York: IEEE 2000:133–40.
[2467] Nakashima K, Nose T, Kuriyama S. A new approach to environmental-performance evaluation. International Journal of
Production Research 2006;44(18/19):4137.
[2468] Nakhaeizadeh G, Schnabl A. Development of multi-criteria metrics for evaluation of data mining algorithms. In: Proceedings of
the third international conference on knowledge discovery and data mining. AAAI Press; 1997. p. 37–42.
76
[2469] Nakhaeizadeh G, Schnabl A. Towards the personalization of algorithms evaluation in data mining. In: Proceedings fourth
international conference on knowledge discovery and data mining. AAAI Press; 1998. p. 289–93.
[2470] Narasimhan R, Talluri S, Das A. Exploring flexibility and execution competencies of manufacturing firms. Journal of Operations
Management 2004;22(1):91–106.
[2471] Narasimhan R, Talluri S, Mendez D. Supplier evaluation and rationalization via Data Envelopment Analysis: an empirical
examination. Journal of Supply Chain Management: A Global Review of Purchasing and Supply 2001;37(3):28–37.
[2472] Narasimhan R, Talluri S, Sarkis J, Ross A. Efficient service location design in government services. Journal of Operations
Management 2005;23(2):163–78.
[2473] Nash D, Sternakarwat A. An application of DEA to measure branch cross selling efficiency. Computer and Operations Research
1996;2:385–92.
[2474] Nasierowski W, Arcelus FJ. On the efficiency of national innovation systems. Socio-Economic Planning Sciences 2003;37(3):215.
[2475] Nath D, Gruca TS. The technical efficiency of hospitals under a single payer system: the case of Ontario community hospitals.
[2476] Nath P, Mukherjee A, Pal M. Identification of linkage between strategic groups and performance of Indian commercial banks: a
combined approach using DEA and Co-Plot. International Journal of Digital Accounting Research 2002;1(2):127–55.
[2477] Nathanson BH, Higgins TL, MCCRann CH. Data Envelopment Analysis: effect of ICP management on outcome in neurotrauma
patients. Care Medical 1999;2:12.
[2478] Nathanson BH, Higgins TL, Giglio RJ, Munshi IA, Steingrub JS. An exploratory study using Data Envelopment Analysis to
assess neurotrauma patients in the intensive care unit. Health Care Management Science 2003;6(1):43–55.
[2479] Navarro JL, Camacho JA. Productivity of the service sector: a regional perspective. Service Industries Journal 2001;21(1):123–48.
[2480] Neff DL, Dixon BL, Zhu S. Measuring the efficiency of agricultural banks. American Journal of Agricultural Economics
1994;7:662–8.
[2481] Neff DL, Garcia P, Nelson CH. Technical efficiency—a comparison of production frontier methods. Journal of Agricultural
Economics 1993;4:479–89.
[2482] Nelson HJ, Nelson KM. It: What’s It Good For? In: Proceedings of 36th Hawaii international conference on systems sciences.
Silver Spring: IEEE Computer Society; 2003. p. 10.
[2483] Nemetz PL, Fry LW. Flexible manufacturing organizations: implications for strategy formulation and organization design.
Academy of Management Review 1988;13(4):627–38.
[2484] Nemoto J, Goto M. Dynamic Data Envelopment Analysis: modeling intertemporal behavior of a firm in the presence of productive
inefficiencies. Economics Letters 1999;64(1):51–6.
[2485] Nemoto J, Goto M. Measurement of dynamic efficiency in production: an application of Data Envelopment Analysis. Journal of
[2486] Neralic L. Sensitivity analysis in Data Envelopment Analysis—Part 2. Glasnik Mathematicki 1989;24(44):449–63.
[2487] Neralic L. Sensitivity analysis of the proportional change of inputs (or outputs) in Data Envelopment Analysis. Glasnik
Mathematicki 1992;27(47):393–405.
[2488] Neralic L. Sensitivity analysis of the additive model in Data Envelopment Analysis, Part 2. In: Proceedings of sixth international
conference on operational research, Croatian Oper Res Soc 1996:17–22.
[2489] Neralic L. Sensitivity in Data Envelopment Analysis for arbitrary perturbations of data. Glasnik Mathematicki 1997;32:315–35.
[2490] Neralic L. Perturbations of all data in models of Data Envelopment Analysis. In: Proceedings of fifth international symposium on
operational research in Slovenia, Slovenian Soc Informatika 1999:13–24.
[2491] Neralic L. Preservation of efficiency and inefficiency classification in Data Envelopment Analysis. Mathematical Communications
2004;9(1):51–62.
[2492] Neralic L, Stein O. On regular and parametric Data Envelopment Analysis. Mathematical Methods of Operations Research
2004;60(1):15–28.
[2493] Neralic L, Wendell RE. Sensitivity in Data Envelopment Analysis using an approximate inverse matrix. Journal of the Operational
[2494] Nesterenko V, Zelenyuk V. Measuring potential gains from reallocation of resources. In: Emrouznejad A, Podinovski V, editors.
[2495] Neto LB, Lins MPE, Gomes EG, de Mello JCCBS, Oliveira FS. Neural Data Envelopment Analysis: a simulation. International
Journal of Industrial Engineering 2004;11(1):14–24.
[2496] Neves JC, Qassim R. Supplier base reduction using Data Envelopment Analysis. International Journal of Management and
Decision Making 2004;5(1):59–75.
[2497] Newey WK. The asymptotic variance of semiparametric estimators. Econometrica 1994;6:1349–82.
[2498] Newey WK, Powell JL. Efficiency bounds for some semiparametric selection models. Journal of Econometrics 1993;5:169–84.
[2499] Newhouse JP. Frontier estimation: how useful a tool for health economics? Journal of Health Economics 1994;13(3):317–22.
[2500] Newman C, Matthews A. The productivity performance of Irish dairy farms 1984–2000: a multiple output distance function
approach. Journal of Productivity Analysis 2006;26(2):191–205.
[2501] Newman C, Matthews A. Evaluating the productivity performance of agricultural enterprises in Ireland using a multiple output
distance function approach. Journal of Agricultural Economics 2007;58(1):128–51.
[2502] Ng YC, Chang MK. Impact of computerization on firm performance: a case of Shanghai manufacturing enterprises. Journal of the
77
[2503] Ng YC, Li SK. Measuring the research performance of Chinese higher education institutions: an application of Data Envelopment
Analysis. Education Economics 2000;8(2):139–56.
[2504] Nghiem HS, Coelli T. The effect of incentive reforms upon productivity: evidence from the Vietnamese rice industry. Journal of
Development Studies 2002;39(1):74–93.
[2505] Nicholas Coppola M, Ozcan YA, Bogacki R. Evaluation of performance of dental providers on posterior restorations: does
experience matter? A Data Envelopment Analysis (DEA) approach. Journal of Medical Systems 2003;27(5):445–56.
[2506] Nickel SJ. Competition and corporate performance. Journal of Political Economy 1996;104(4):724–46.
[2507] Nin A, Arndt C, Preckel PV. Is agricultural productivity in developing countries really shrinking? New evidence using a modified
nonparametric approach. Journal of Development Economics 2003;71(2):395–415.
[2508] Nishimizu M, Page JM. Total factor productivity growth, technological progress and technical efficiency change: dimensions of
productivity change in Yugoslavia, 1965–78. Economic Journal 1982;92:920–36.
[2509] Nkamleu GB. Productivity growth, technical progress and efficiency change in African agriculture. African Development Review
2004;16(1):203–22.
[2510] Noguchi H, Ogawa M, Ishii H. The appropriate total ranking method using DEA for multiple categorized purposes. Journal of
Computational and Applied Mathematics 2002;146(1):155–66.
[2511] Nolan JF. Determinants of productive efficiency in Urban transit. Logistics and Transportation Review 1996;32(3):319–42.
[2512] Nolan JF, Ritchie PC, Rowcroft JE. Identifying and measuring public policy goals: ISTEA and the US bus transit industry.
Journal of Economic Behaviour and Organization 2002;48(3):291–304.
[2513] Nolan JF, Ritchie PC, Rowcroft JR. Measuring efficiency in the public sector using nonparametric frontier estimators: a study of
transit agencies in the USA. Applied Economics 2001;33(7):913–22.
[2514] Nold Hughes PA, Edwards ME. Leviathan vs. Lilliputian: a Data Envelopment Analysis of government efficiency. Journal of
Regional Science 2000;40(4).
[2515] Norman M, Stoker B. Performance, efficiency and Data Envelopment Analysis. In: Norman M, Stoker B, editors. Data
Envelopment Analysis: the assessment of performance. New York: Wiley; 1991. p. 1–20.
[2516] Norman M, Stoker B. Data Envelopment Analysis: the assessment of performance. New York, USA: Wiley; 1991.
[2517] Norsworthy JR, Malmquist DH. Input measurement and productivity growth in Japanese and U.S. manufacturing. American
Economic Review 1983;7:947–67.
[2518] Norsworthy JR, Jang SL. Empirical measurement and analysis of productivity and technological change. Amsterdam, The
Netherlands: North-Holland; 1992.
[2519] Norton RO. Which offices or stores really perform best? A new tool tells. Fortune 1994;30(9):38.
[2520] Noulas AG, Ketkar KW. Efficient utilization of resources in public schools: a case study of New Jersey. Applied Economics
1998;30(10):1299–306.
[2521] Novriza V, Morey RC, A DD. Evaluating a hotel GMS performance: a case study in benchmarking. Cornell Hotel and Restaurant
Administration Quarterly 1995;36(5).
[2522] Nozick LK, Borderas H, Meyburg AH. Evaluation of travel demand measures and programs: a Data Envelopment Analysis
approach. Transportation Research Part A: Policy and Practice 1998;32A(5):331–43.
[2523] Nunamaker TR. Measuring routine nursing service efficiency: a comparison of cost per patient day and Data Envelopment
Analysis models. Health Services Research 1983;18(2):183–208.
[2524] Nunamaker TR. Using Data Envelopment Analysis to measure the efficiency of non-profit organizations: a critical evaluation.
[2525] Nunamaker TR. Using Data Envelopment Analysis to measure the efficiency of not-for-profit organizations: a critical evaluationreply. Managerial and Decision Economics 1988;9(3):255–6.
[2526] Nyhan RC. Benchmarking tools: an application to juvenile justice facility performance. Prison Journal 2002;82(4):423–39.
[2527] Nyhan RC, Cruise PL. Comparative performance assessment in managed care: Data Envelopment Analysis for health care
managers. Managed Care Quarterly 2000;8(1):18–27.
[2528] Nyman JA, Bricker DL. Profit incentives and technical efficiency in the production of nursing home care. Review of Economics
and Statistics 1989;71(4):586–94.
[2529] Nyman JA, Bricker DL. Technical efficiency in nursing homes. Medical Care 1990;28(6):541–51.
[2530] Nyrud AQ, Bergseng ER. Production efficiency and size in Norwegian sawmilling. Scandinavian Journal of Forest Research
2002;17(6):566–75.
[2531] Nyrud AQ, Baardsen S. Production efficiency and productivity growth in Norwegian sawmilling. Forest Science 2003;49(1):89–97.
[2532] O’Brien GC, Wu L. Alternative transformations and duality of linear fractional programming generalised DEA model. In:
Emrouznejad A, Green R, Krivonozhko V., editors. Efficiency and productivity analysis in the 21st century, International
Research in Management Science, 2002.
[2533] O’Brien Gregory C, Wu L. Solution for multiplier variables and non-archimedean constant in DEA models. In: Emrouznejad A,
Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 348
[2534] Obata T, Ishii H. A method for discriminating efficient candidates with ranked voting data. European Journal of Operational
Research 2003;151(1):233–7.
[2535] Obrien G, Wu L. Alternative transformations and duality of linear fractional programming. In: Operations research/management
science at work: applying theory in the Asia Pacific Region, the international series in operations research and management science.
Dordrecht: Kluwer Academic Publishers; 2001.
78
[2536] Odeck J. Evaluating efficiency of rock blasting using Data Envelopment Analysis. Journal of Transportation Engineering-ASCE
1996;12:41–9.
[2537] Odeck J. Assessing the relative efficiency and productivity growth of vehicle inspection services: an application of DEA and
Malmquist indices. European Journal of Operational Research 2000;126(3):501–14.
[2538] Odeck J. Comparison of Data Envelopment Analysis and deterministic parametric frontier approaches: an application in the
Norwegian road construction sector. Transportation Planning and Technology 2001;24(2):111–34.
[2539] Odeck J. Evaluating target achievement in the public sector: an application of a rare non-parametric DEA Malmquist indices.
Journal of Applied Economics 2005;8(1):171–90.
[2540] Odeck J. Identifying traffic safety best practice: an application of DEA and Malmquist indices. Omega 2006;34(1):28–40.
[2541] Odeck J, Alkadi A. Evaluating efficiency in the Norwegian bus industry using Data Envelopment Analysis. Transportation
2001;28(3):211–32.
[2542] Odeck J, Alkadi A. The performance of subsidized urban and rural public bus operators: empirical evidence from Norway. Annals
of Regional Science 2004;38(3):413–31.
[2543] Odeck J, Odeck J. Comparison of Data Envelopment Analysis and deterministic parametric frontier approaches: an application in
the Norwegian road construction. Transportation Planning and Technology 2001;22:11.
[2544] Odeck J, Hjalmarsson L. Performance of trucks—an evaluation using Data Envelopment Analysis. Transportation Planning and
Technology 1996;20(1):49–66.
[2545] Odeck JO. Evaluating efficiency of rock blasting using Data Envelopment Analysis. Journal of Transport Engineering
1996;122(1):41–9.
[2546] Odeck JO. Measuring performance and productivity growth in motor vehicle inspection services with DEA and Malmquist indices.
International Journal of Operations and Quantitative Management 1998;4:69–89.
[2547] O’Donnell CJ, Coelli TJ. A Bayesian approach to imposing curvature on distance functions. Journal of Econometrics
2005;126(2):493–523.
[2548] Oduol JBA, Hotta K, Shinkai S, Tsuji M. Farm size and productive efficiency: lessons from smallholder farms in Embu district,
Kenya. Journal of Faculty of Agriculture, Kyushu University 2006;51(2):449–58.
[2549] Oguz C, Parlat SS. An econometric approach to prediction of optimal broiler production cycle using the coefficient of economic
efficiency. Journal of Animal Feed Science 2003;12(2):315–24.
[2550] Olatubi WO, Dismukes DE. A Data Envelopment Analysis of the levels and determinants of coal-fired electric power generation
performance. Utilities Policy 2000;9(2):47–59.
[2551] O’Leary DE. Assessing the productivity of the expert system development process. In: Proceedings of the international symposium
artificial intelligence application and neural networks. ACTA Press; 1990. p. 258.
[2552] Olesen OB. Some unsolved problems in Data Envelopment Analysis—a survey. International Journal of Production Economics
1995;39(1-2):5–36.
[2553] Olesen OB. Two-stage DEA under uncertainty. In: Olesen OB., editor. Some recent studies and extension of methods for measuring
technical efficiency, 1995:1.
[2554] Olesen OB. Comparing and combining two approaches for chance constrained DEA. Journal of Productivity Analysis
2006;26(2):103–19.
[2555] Olesen OB, Petersen NC. Chance constrained efficiency evaluation. Management Science 1995;41(3):442–57.
[2556] Olesen OB, Petersen NC. Comment on assessing marginal impact of investment on the performance of organisational units.
International Journal of Production Economics 1995;39(1/2):162–3.
[2557] Olesen OB, Petersen NC. Incorporating quality into Data Envelopment Analysis: a stochastic dominance approach. International
Journal of Production Economics 1995;39(1–2):117–35.
[2558] Olesen OB, Petersen NC. A presentation of GAMS for DEA. Computer and Operations Research 1996;23(4):323–39.
[2559] Olesen OB, Petersen NC. Indicators of ill-conditioned data sets and model misspecification in Data Envelopment Analysis: an
extended facet approach. Management Science 1996;42(2):205–19.
[2560] Olesen OB, Petersen NC. Probabilistic bounds on the virtual multipliers in Data Envelopment Analysis: polyhedral cone
constraints. Journal of Productivity Analysis 1999;12(2):103–33.
[2561] Olesen OB, Petersen NC. The use of Data Envelopment Analysis with probabilistic assurance regions for measuring hospital
efficiency. Journal of Productivity Analysis 2002;17(1-2):83–109.
[2562] Olesen OB, Petersen NC. Identification and use of efficient faces and facets in DEA. Journal of Productivity Analysis
2003;20(3):323–60.
[2563] Oliveira MA, Santos C. Assessing school efficiency in Portugal using FDH and bootstrapping. Applied Economics
2005;37(8):957–68.
[2564] Olson JA, Schmidt P, Waldman DW. A Monte Carlo study of estimators of stochastic frontier production functions. Journal of
[2565] Omero M, D’Ambrosio L, Pesenti R, Ukovich W. Multiple-attribute decision support system based on fuzzy logic for performance
assessment. European Journal of Operational Research 2005;160(3 SPEC ISS):710–25.
[2566] Ondersteijn CJ, Lansink AG, Giesen GW, Huirne RB. Improving nutrient efficiency as a strategy to reduce nutrient surpluses on
dairy farms. Scientific World Journal 2001;2:866–72.
[2567] Ondrich J, Ruggiero J. Efficiency measurement in the stochastic frontier model. European Journal of Operational Research
2001;129(2):434–42.
79
[2568] Ondrich J, Ruggiero J. Outlier detection in Data Envelopment Analysis: an analysis of jackknifing. Journal of the Operational
[2569] O’Neal PV, Ozcan YA, Ma Y. Benchmarking mechanical ventilation services in teaching hospitals. Journal of Medical Systems
2002;26(3):227–40.
[2570] O’Neill L. Measuring hospital performance with DEA: an alternative approach. In: Proceedings of annual meeting of the Decision
Sciences Institute, vol. 1. Atlanta, GA, USA: Decision Sciences Institute; 1998. p. 55–7.
[2571] O’Neill L. Multifactor efficiency in Data Envelopment Analysis with an application to urban hospitals. Health Care Management
Science 1998;1(1):19–27.
[2572] O’Neill L, Dexter F. Market capture of inpatient perioperative services using DEA. Health Care Management Science
2004;7(4):263–73.
[2573] O’Neill L, Dexter F. Methods for understanding super-efficient Data Envelopment Analysis results with an application to hospital
inpatient surgery. Health Care Management Science 2005;8(4):291–8.
[2574] O’Neill L, Dexter F. Tactical increases in operating room block time based on financial data and market growth estimates from
Data Envelopment Analysis. Anesthesia and Analgesia 2007;104(2):355–68.
[2575] O’Neill L, Lewis HS, Ord JK. Diagnostic for measuring influence in Data Envelopment Analysis. In: Proceedings of annual
meeting of the Decision Sciences Institute, vol. 2. Atlanta, GA, USA: Decision Sciences Inst; 1996. p. 1041–3.
[2576] Onut S, Soner S. Energy efficiency assessment for the Antalya region hotels in Turkey. Energy and Buildings 2006;38(8):964–71.
[2577] Onut S, Soner S. Analysis of energy use and efficiency in Turkish manufacturing sector Smes. Energy Conversion and Management
2007;48(2):384–94.
[2578] Oral M, Yolalan R. Empirical study on measuring operating efficiency and profitability of bank branches. European Journal of
[2579] Oral M, Kettani O, Lang P. A methodology for collective evaluation and selection of industrial R&D projects. Management
Science 1991;37(7):871–85.
[2580] Oral M, Kettani O, Yolalan R. An empirical study on analyzing the productivity of bank branches. IIE Transactions
1992;2:166–76.
[2581] Oral M, Cinar U, Chabchoub H. Linking industrial competitiveness and productivity at the firm level. European Journal of
[2582] Orea L. Parametric decomposition of a generalized Malmquist productivity index. Journal of Productivity Analysis
2002;18(1):5–22.
[2583] Oren MN, Alemdar T. Technical efficiency analysis of Tobacco farming in Southeastern Anatolia. Turkish Journal of Agriculture
and Forestry 2006;30(2):165–72.
[2584] Orme C, Smith P. The potential for endogeneity bias in Data Envelopment Analysis. Journal of the Operational Research Society
1996;47(1):73–83.
[2585] Ormerod R. On the nature of or-entering the fray. Journal of the Operational Research Society 1996;47(1):1–17.
[2586] Oron G, Bick A, Gillerman L, Manor Y. Data Envelopment Analysis (DEA) for assessment of cryptosporidium and giardia
removal by membrane processes. In: Proceedings of the world water and environmetal resources congress: critical transitions in
water and environmetal resources management. New York: IEEE; 2004. p. 3257–65.
[2587] Osei D, d’Almeida S, George MO, Kirigia JM, Mensah AO, Kainyu LH. Technical efficiency of public district hospitals and health
centres in Ghana: a pilot study. Cost Efficiency Resource Allocation 2005;3:9.
[2588] Osiewalski J, Steel MFJ. Numerical tools for the Bayesian analysis of stochastic frontier models. Journal of Productivity Analysis
1998;10(1):103–17.
[2589] Ostroff C, Schmitt N. Configurations of organizational effectiveness and efficiency. Academy of Management Journal
1993;36(6):1345–61.
[2590] Otsuki T, Hardie IW, Reis EJ. The implication of property rights for joint agriculture–timber productivity in the Brazilian
Amazon. Environment Journal of Development Economics 2002;7:299–323.
[2591] Oude LA, Bezlepkin I. The effect of heating technologies on Co2 and energy efficiency of Dutch greenhouse firms. Journal of
[2592] Ouellette P, Vierstraete V. Technological change and efficiency in the presence of quasi-fixed inputs: a DEA application to the
hospital sector. European Journal of Operational Research 2004;154(3):755–63.
[2593] Ouellette P, Vierstraete V. An evaluation of the efficiency of Quebec’s school boards using the Data Envelopment Analysis method.
[2594] Oum TH, Yu C. Economic efficiency of railways and implications for public policy. Journal of Transport Economics and Policy
1994;28(2):121–38.
[2595] Ozcan Y, Lynch J. Rural hospital closures: an inquiry to efficiency. In: Scheffler RM, Rossiter LF., editors. Advance health
economics, vol. 13, Health Services Research, 1992. p. 205–24.
[2596] Ozcan YA. Sensitivity analysis of hospital efficiency under alternative output/input and peer groups: a review. International
Journal of Knowledge and Policy 1993;5(4):1–29.
[2597] Ozcan YA. Efficiency of hospital service production in local markets the balance sheet of US medical armament. Socio-Economic
[2598] Ozcan YA. Physician benchmarking: measuring variation in practice behavior in treatment of Otitis media. Health Care
80
[2599] Ozcan YA, Cotter JJ. An assessment of efficiency of area agencies on aging in Virginia through Data Envelopment Analysis.
Gerontologist 1994;3:363–70.
[2600] Ozcan YA, McCue MJ. Development of a financial performance index for hospitals: DEA approach. Journal of the Operational
[2601] Ozcan YA, Luke RD. A national study of the efficiency of hospitals in urban markets. Health Services Research 1993;2:719–39.
[2602] Ozcan YA, Bannick RR. Trends in department-of-defense hospital efficiency. Journal of Medical Systems 1994;1:69–83.
[2603] Ozcan YA, Jiang HJ, Pai CW. Do primary care physicians or specialists provide more efficient care? Health Services Management
Research 2000;13(2):90–6.
[2604] Ozcan YA, Watts J, Harris II JM, Wogen SE. Provider experience and technical efficiency in the treatment of stroke patients: DEA
approach. Journal of the Operational Research Society 1998;49(6):573–82.
[2605] Ozcan YA, Begun JW, McKinney MM. Benchmarking organ procurement organizations: a national study. Health Services
Research 1999;34(4):855–74.
[2606] Ozcan YA, Tyler LH, Wogen SE. Mental health case management and technical efficiency. Journal of Medical Systems
1995;19(5):413–23.
[2607] Ozcan YA, McCue MJ, Okasha AA. Measuring the technical efficiency of psychiatric hospitals. Journal of Medical Systems
1996;2:141–50.
[2608] Ozcan YA, Luke RD, Haksever C. Ownership and organizational performance-a comparison of technical efficiency across hospital
types. Medical Care 1992;3:781–94.
[2609] Ozcan YA, Wogen SE, Mau LW. Efficiency evaluation of skilled nursing facilities. Journal of Medical Systems 1998;22(4):211–24.
[2610] Ozcan YA, Shu-Chuan Y, McCollum D, Begun JW. Trends in labor efficiency among American hospital markets. Annals of
[2611] Ozgen H. Does chain affiliation make a difference in efficiency of dialysis providers in the USA. Social Science and Medicine
2006;62(9):2112–24.
[2612] Ozgen H, Ozcan YA. A national study of efficiency for dialysis centers: an examination of market competition and facility
characteristics for production of multiple dialysis outputs. Health Services Research 2002;37(3):711–32.
[2613] Ozgen H, Ozcan YA. Longitudinal analysis of efficiency in multiple output dialysis markets. Health Care Management Science
2004;7(4):253–261,.
[2614] Ozkan-Gunay EN, Tektas A. Efficiency analysis of the Turkish banking sector in precrisis and crisis period: a DEA approach.
Contemporary Economic Policy 2006;24(3):418–31.
[2615] Pace RK. Parametric, semiparametric, and nonparametric estimation of characteristic values within mass assessment and hedonic
pricing models. Journal of Real Estate Finance and Economics 1995;1:195–217.
[2616] Pacheco RR, Fernandes E. Managerial efficiency of Brazilian airports. Transportation Research Part A: Policy and Practice
2003;37A(8):667–80.
[2617] Pacheco RR, Fernandes E, Santos MPD. Management style and airport performance in Brazil. Journal of Air Transportation
Management 2006;12(6):324–30.
[2618] Pacudan R, de Guzman E. Impact of energy efficiency policy to productive efficiency of electricity distribution industry. Energy
Economics 2002;24(1):41.
[2619] Page B, Voigt K. Recent history and development of environmental information systems and databases in Germany. Online
Information Review 2003;27(1):37–50.
[2620] Pahwa A, Feng X, Lubkeman D. Performance evaluation of electric distribution utilities based on Data Envelopment Analysis.
IEEE Transactions on Power Systems 2003;18(1):400–5.
[2621] Pai CW, Ozcan YA, Jiang HJ. Regional variation in physician practice pattern: an examination of technical and cost efficiency for
treating sinusitis. Journal of Medical Systems 2000;24(2):103–17.
[2622] Papadeas PV, Paggios IK, Vasilakis AG. ABC inputs plus DEA measure the relative significance for university departments. In:
Emrouznejad A, Green R, Krivonozhko V, editors. Efficiency and productivity analysis in the 21st century, International Research
in Management Science, 2002.
[2623] Papagapiou A, Mingers J, Thanassoulis E. Would you buy a used car with DEA?—Applying DEA to purchasing decisions. OR
Insight 1997;10(1):13–9.
[2624] Papahristodoulou C. A DEA model to evaluate car efficiency. Applied Economics 1997;29(11):1493–508.
[2625] Paradi JC, Anadol B. Valuing private companies: a DEA approach. In: Proceedings of Portland international conference on
management of engineering and technology, vol. 1, Portland International, 2001. p. 374.
[2626] Paradi JC, Schaffnit C. Commercial branch performance evaluation and results communication in a Canadian bank—a DEA
application. European Journal of Operational Research 2004;156(3):719–35.
[2627] Paradi JC, Reese DN, Rosen D. Applications of DEA to measure the efficiency of software production at two large Canadian
banks. Annals of Operations Research 1997;73:91–115.
[2628] Paradi JC, Asmild M, Reese DN. Theoretical perspectives of trade-off analysis using DEA. Omega 2006;34(4):337–43.
[2629] Paradi JC, Asmild M, Simak PC. Using DEA and worst practice DEA in credit risk evaluation. Journal of Productivity Analysis
2004;21(2):153–65.
[2630] Paradi JC, Smith S, Schaffnit-Chatterjee C. Knowledge worker performance analysis using DEA: an application to engineering
design teams at Bell Canada. IEEE Transactions on Engineering Management 2002;49(2):161–72.
[2631] Park BU. On estimating the slope of increasing boundaries. Statistics and Probability Letters 2001;52(1):69–72.
81
[2632] Park BU, Simar L, Weiner C. The FDH estimator for productivity efficiency scores—asymptotic properties. Econometric Theory
2000;16(6):855–77.
[2633] Park JH, Park SC. Agent-based merchandise management in business-to-business electronic commerce. Decision Support Systems
2003;35(3):311–33.
[2634] Park KS. Simplification of the transformations and redundancy of assurance regions in IDEA (imprecise DEA). Journal of the
[2635] Park KS, Cooper WW, Pastor JT. The range adjusted measure (RAM) in DEA: a response to the comment by Steinmann and
Zweifel. Journal of Productivity Analysis 2001;15(2):145–52.
[2636] Park S-U, Lesourd J-B. Efficiency of conventional fuel power plants in South Korea: a comparison of parametric and nonparametric approaches. International Journal of Production Economics 2000;63(1):59–67.
[2637] Parkan C. Measuring the efficiency of service operations: an application to bank branches. Engineering Costs and Production
Economics 1987;1:237–42.
[2638] Parkan C. Calculation of operational performance ratings. International Journal of Production Economics 1991;24(1–2):165–73.
[2639] Parkan C. Operational competitiveness ratings of production units. Managerial and Decision Economics 1994;15(3):201–21.
[2640] Parkan C. Measuring the performance of hotel operations. Socio-Economic Planning Sciences 1996;30(4):257–92.
[2641] Parkan C. An alternative derivation of the basic DEA models for gauging the productive performances of operating entities.
International Journal of Productivity and Quality Management 2006;1(3):253–71.
[2642] Parkan C, Wu ML. On the equivalence of operational performance measurement and multiple attribute decision making.
[2643] Parkan C, Wu M-L. Comparison of three modern multicriteria decision-making tools. International Journal of Systems Science
2000;31(4):497–517.
[2644] Parkan C, Ming-Lu W. Decision-making and performance measurement models with applications to robot selection. Computers
and Industrial Engineering 1999;36(3):503–23.
[2645] Parkan C, Ming-Lu W. Measurement of the performance of an investment bank using the operational competitiveness rating
procedure. Omega 1999;27(2):201–17.
[2646] Parkan C, Diewert WE. Linear programming tests of regularity conditions for production functions. In: Shephard RW, Henn R,
Neumann K, editors. Quantitative studies on production and prices. Physics-Verlag; 1983.
[2647] Parkan C, Lam K, Hang G. Operational competitiveness analysis on software development. Journal of the Operational Research
Society 1997;48(9):892–905.
[2648] Parker D. The performance of baa before and after privatisation—a DEA study. Journal of Transport Economics and Policy
1999;33:133–45.
[2649] Parkin D, Hollingsworth B. Measuring production efficiency of acute hospitals in Scotland, 1991–94: validity issues in Data
Envelopment Analysis. Applied Economics 1997;29(11):1425–33.
[2650] Pascoe S, Tingley D. Economic capacity estimation in fisheries: a non-parametric ray approach. Resource and Energy Economics
2006;28(2):124–38.
[2651] Pascoe S, Herrero I. Estimation of a composite fish stock index using Data Envelopment Analysis. Fisheries Research
2004;69(1):91–105.
[2652] Pascoe S, Coglan L, Mardle S. Physical versus harvest-based measures of capacity: the case of the UK vessel capacity unit system.
ICES Journal of Marine Science 2001;58(6):1243–52.
[2653] Passy U, Platzman LK, Hackman ST. Explicit representation of the two-dimensional section of a production possibility set.
[2654] Pastor JM. Efficiency and risk management in Spanish banking: a method to decompose risk. Applied Financial Economics
1999;9(4):371–84.
[2655] Pastor JM. Credit risk and efficiency in the European banking system: a three-stage analysis. Applied Financial Economics
2002;12(12):895–911.
[2656] Pastor JM, Perez F, Quesada J. Efficiency analysis in banking firms: an international comparison. European Journal of
[2657] Pastor JT. Translation invariance in Data Envelopment Analysis: a generalization. Annals of Operations Research 1996;66:93–102.
[2658] Pastor JT, Lovell CAK. A global Malmquist productivity index. Economics Letters 2005;88(2):266–71.
[2659] Pastor JT, Lovell CAK, Tulkens H. Evaluating the financial performance of bank branches. Annals of Operations Research
2006;145:321–37.
[2660] Pastor JT, Ruiz JL, Sirvent I. A statistic test for detecting influential observations in DEA. European Journal of Operational
Research 1999;115(3):542–54.
[2661] Pastor JT, Ruiz JL, Sirvent I. A statistical test for detecting influential observations in DEA. European Journal of Operational
Research 1999;115(3):542–54.
[2662] Pastor JT, Ruiz JL, Sirvent I. An enhanced DEA Russell graph efficiency measure. European Journal of Operational Research
1999;115(3):596–607.
[2663] Pastor JT, Ruiz JL, Sirvent I. A statistical test for nested radial DEA models. Operations Research 2002;50(4):728–35.
[2664] Paul CJM. Cost structure and the measurement of economic performance: productivity, utilization, cost economics, and related
performance indicators. Berlin: Springer; 1999.
[2665] Paul CM, Nehring R, Banker D, Somwaru A. Scale economics and efficiency in US agriculture: Are traditional farms history?
82
[2666] Pavananunt K. Hospital efficiency: a study of public community hospital in Thailand. In: Emrouznejad A, Podinovski V, editors.
[2667] Pavlopoulos P, Kouzelis A. Cost behaviour in the banking industry: evidence from a Greek commercial bank. Applied Economics
1989;2:285–93.
[2668] Pavur R, Loucopoulos C. Examining optimal criterion weights in mixed integer programming approaches to the multiple-group
classification problem. Journal of the Operational Research Society 1995;46(5):626–40.
[2669] Juras PE, Kaspin J, Martin DR. An analysis of gainsharing in a health care setting. Health Care Supervisor 1994;13(2):44–50.
[2670] Peck Jr MW, Scheraga CA, Boisjoly RP. Assessing the relative efficiency of aircraft maintenance technologies: an application of
Data Envelopment Analysis. Transportation Research, Part A: Policy and Practice 1998;32A(4):261–9.
[2671] Pedraja-Chaparro F, Salinas-Jimanez J. An assessment of the efficiency of Spanish courts using DEA. Applied Economics
1996;28(11):1391–403.
[2672] Pedraja-Chaparro F, SalinasJimenez J, Smith P. On the role of weight restrictions in Data Envelopment Analysis. Journal of
[2673] Pedraja-Chaparro F, Salinas-Jimenez J, Smith P. On the quality of the Data Envelopment Analysis model. Journal of the
[2674] Pei-Huang L. Multiple criteria ranking by fuzzy Data Envelopment Analysis. WSEAS Transactions on Computers
2006;5(5):810–6.
[2675] Peijun G, Tanaka H, Inuiguchi M. An aggregation model via fuzzy linear programming to rank the objects with multiple attributes.
In: Proceedings of IEEE international fuzzy systems, vol. 2. New York: IEEE; 1999. p. 1175–80.
[2676] Peijun G, Tanaka H, Inuiguchi M. Self-organizing fuzzy aggregation models to rank the objects with multiple attributes. IEEE
Transactions on Systems, Man and Cybernetics, Part A 2000;30(5):573–80.
[2677] Pels E, Nijkamp P, Rietveld P. Inefficiencies and scale economies of European airport operations. Transportation Research Part E:
Logistics and Transportation Review 2003;39(5):341.
[2678] Pendharkar PC. A potential use of Data Envelopment Analysis for the inverse classification problem. Omega 2002;30(3):243–8.
[2679] Pendharkar PC. A Data Envelopment Analysis-based approach for data preprocessing. IEEE Transactions on Knowledge and
Data Engineering 2005;17(10):1379–88.
[2680] Pendharkar PC. Scale economies and production function estimation for object-oriented software component and source code
documentation size. European Journal of Operational Research 2006;172(3):1040–50.
[2681] Pendharkar PC, Rodger JA. Technical efficiency-based selection of learning cases to improve forecasting accuracy of neural
networks under monotonicity assumption. Decision Support Systems 2003;36(1):117–36.
[2682] Pendharkar PC, Rodger JA, Yaverbaum GJ, Herman N, Benner M. Association, statistical, mathematical and neural approaches
for mining breast cancer patterns. Expert Systems with Applications 1999;17(3):223–32.
[2683] Pendharkar PC, Khosrowpour M, Rodger JA. Application of bayesian network classifiers and Data Envelopment Analysis for
mining breast cancer patterns. Journal of Computer Information Systems 2000;40(4):127–31.
[2684] Peng L. Bias-corrected estimators for monotone and concave frontier functions. Journal of Statistical Planning and Inference
2004;119(2):263–75.
[2685] Peng Y. Gradient of DEA efficiency. System Engineering Theory and Practice 1997;17(11):51–5.
[2686] Pentzaropoulos GC, Giokas DI. Comparing the operational efficiency of the main European telecommunications organizations: a
quantitative analysis. Telecommunications Policy 2002;26(11):595–606.
[2687] Pereira A. Economies of scale in blood banking: a study based on Data Envelopment Analysis. Vox Sanguinis 2006;90(4):308–15.
[2688] Pereira Marcelo F. Productive efficiency evaluation of agricultural sector of municipal districts of AMUSEP. In: Emrouznejad A,
[2689] Perelman S. R-and-D, technological progress and efficiency change in industrial activities. Review of Income and Wealth
1995:349–66.
[2690] Perez ED. Regional variation in Vamcs operative efficiency. Journal of Medical Systems 1992;1:207–13.
[2691] Peristiani S. Comment on Fried, Lovell, and Yaisawarng. Journal of Banking and Finance 1999;23(2–4):387–90.
[2692] Perroni C. A flexible, globally regular representation of convex production possibilities frontiers. Journal of Productivity Analysis
1999;12(2):153–9.
[2693] Petersen NC. Data Envelopment Analysis on a relaxed set of assumptions. Management Science 1990;3:305–14.
[2694] Petersen NC. A comment on: lower bound restrictions on intensities in Data Envelopment Analysis by Bouhnik et al. Journal of
[2695] Petersen NC, Lovell CAK. Editor’s, introduction to special issue on efficiency and frontier analysis. Journal of Productivity
Analysis 1996;7:87–98.
[2696] Petroni A, Rizzi A. A fuzzy logic based methodology to rank shop floor dispatching rules. International Journal of Production
Economics 2002;76(1):99–108.
[2697] Petroni A, Bevilacqua M. Identifying manufacturing flexibility best practices in small and medium enterprises. International
Journal of Operations and Production Management 2002;22(8):929–47.
[2698] Pettypool MD, Troutt MD. Decisional data and the principle of maximum efficiency estimation. Mathematical and Computer
Modelling 1988;11:1101–3.
[2699] Pettypool MD, Troutt MD. Recent improvements to Data Envelopment Analysis. Mathematical and Computer Modelling
1988;11:1104–6.
83
[2700] Phillips F. 25-years of Data Envelopment Analysis. International Journal of Information Technology and Decision
2005;4(3):317–23.
[2701] Phillips F, Tuladhar SD. Measuring organizational flexibility: an exploration and general model. Technological Forecasting and
Social Change 2000;64(1):23–38.
[2702] Phillips F, Parsons RG, Donoho AP. Parallel microcomputing for Data Envelopment Analysis. Computers, Environment and
Urban Systems 1990;1:167–70.
[2703] Phillips FY. In memoriam Abraham Charnes, 1917–1992. Annals of Operations Research 1997;73:389–91.
[2704] Picazo-Tadeo AJ, Reig-Martinez E. Agricultural externalities and environmental regulation: evaluating good practice in citrus
production. Applied Economics 2006;38(11):1327–34.
[2705] Picazo-Tadeo AJ, Reig-Martinez E. Outsourcing and efficiency: the case of Spanish citrus farming. Agricultural Economics
2006;35(2):213–22.
[2706] Pickering JF, Cockerill TAJ. The economic management of the firm. London: Philip Allen Publisher; 1984.
[2707] Piesse J, Townsend R. The measurement of productive efficiency in UK building societies. Applied Financial Economics
1995;5(6):397–407.
[2708] Piesse J, Thirtle C, Turk J. Efficiency and ownership in Slovene dairying: a comparison of econometric and programming
techniques. Journal of Comparative Economics 1996;22(1):1–22.
[2709] Piesse J, Thirtle C, vanZyl J. Effects of the 1992 drought on productivity in the South African homelands: an application of the
Malmquist index. Journal of Agricultural Economics 1996;47(2):247–54.
[2710] Piesse J, Thirtle C, Zyl JV. The efficiency of smallholder agriculture in South Africa. Journal of International Development
1996;8(1):125–44.
[2711] Piesse J, Doyer T, Thirtle C, Vink N. The changing role of grain cooperatives in the transition to competitive markets in South
Africa. Journal of Comparative Economics 2005;33(1):197–218.
[2712] Pignataro G, Cellini R, Pignataro G, Rizzo I. Competition and efficiency in health care an analysis of the Italian case. International
Tax and Public Finance 2000:503–19.
[2713] Pilateris P, McCabe B. Contractor financial evaluation model (CFEM). Canadian Journal of Civil Economics 2003;30(3):487–99.
[2714] Pille P, Paradi JC. Financial performance analysis of Ontario (Canada) credit unions: an application of DEA in the regulatory
environment. European Journal of Operational Research 2002;139(2):339–50.
[2715] Pilyavsky A, Staat M. Health care in the CIS countries: the case of hospitals in Ukraine. European Journal of Health Economics
2006;7(3):189–95.
[2716] Pilyavsky AI, Aaronson WE, Bernet PM, Rosko MD, Valdmanis VG, Golubchikov MV. East-west: does it make a difference to
hospital efficiencies in Ukraine? Health Economics 2006;15(11):1173–86.
[2717] Pina V, Torres L. Evaluating the efficiency of non-profit organisations: an application of Data Envelopment Analysis to the public
health service. Financial Accountability and Management 1992;00:8.
[2718] Pina V, Torres L. Analysis of the efficiency of local government services delivery: an application to urban public transport.
Transportation Research, Part A: Policy and Practice 2001;35A(10):929–44.
[2719] Pina V, Torres L. Public–private efficiency in the delivery of services of general economic interest: the case of urban transport.
Local Government Studies 2006;32(2):177–98.
[2720] Pinillos M, Antonanzas F. La Atencion Primaria De Salud: Descentralizacion Y Eficiencia. Gaceta Sanitaria 2002;16(5):401–7.
[2721] Pinillos M, Antoñanzas F. Primary care: decentralization and efficiency. Gaceta Sanitaria 2002;16(5):401–7.
[2722] PiotLepetit I, Rainelli P. Breathing room in farm management as determined by inefficiency measurements. Productions Animales
1996;9(5):367–77.
[2723] PiotLepetit I, Vermersch D, Weaver RD. Agriculture’s environmental axternalities. DEA evidence for French agriculture. Applied
Economics 1997;29(3):331–8.
[2724] Pires Capobianco HM, Fernandes E. Capital structure in the world airline industry. Transportation Research, Part A: Policy and
Practice 2004;38A(6):421–34.
[2725] Piskunov KP, Giniyatullin FG, Muratkhanov DS. Efficiency analysis of nonparametric estimation algorithm of signals vectors.
Izvestiya Vysshikh Uchebnykh Zavedenii, Radioelektronika 2001;44(10):8–15.
[2726] Pitaktong U, Brockett PL, Mote JR, Rousseau JJ. Identification of Pareto-efficient facets in Data Envelopment Analysis.
[2727] Pitocco C, Sexton TR. Alleviating blood shortages in a resource-constrained environment. Transfusion 2005;45(7):1118–26.
[2728] Podinovski V, Thanassoulis E. Improving discrimination in Data Envelopment Analysis: some practical suggestions. Journal of
Productivity Analysis 2007.
[2729] Podinovski VV. Side effects of absolute weight bounds in DEA models. European Journal of Operational Research
1999;115(3):583–95.
[2730] Podinovski VV. An extended maximin approach for decision analysis with uncontrollable factors. Journal of the Operational
[2731] Podinovski VV. Validating absolute weight bounds in Data Envelopment Analysis (DEA) models. Journal of the Operational
[2732] Podinovski VV. DEA models for the explicit maximisation of relative efficiency. European Journal of Operational Research
2001;131(3):572–86.
[2733] Podinovski VV. Bridging the gap between the constant and variable returns-to-scale models: selective proportionality in Data
Envelopment Analysis. Journal of the Operational Research Society 2004;55(3):265–76.
84
[2734] Podinovski VV. Efficiency and global scale characteristics on the ‘‘no free lunch assumption only’’. Journal of Productivity
Analysis 2004;22(3):227–57.
[2735] Podinovski VV. Local and global returns to scale in performance measurement. Journal of the Operational Research Society
2004;55(2):170–8.
[2736] Podinovski VV. On the linearisation of reference technologies for testing returns to scale in FDH models. European Journal of
[2737] Podinovski VV. Production trade-offs and weight restrictions in Data Envelopment Analysis. Journal of the Operational Research
Society 2004;55(12):1311–22.
[2738] Podinovski VV. Suitability and redundancy of non-homogeneous weight restrictions for measuring the relative efficiency in DEA.
[2739] Podinovski VV. Selective convexity in DEA models. European Journal of Operational Research 2005;161(2):552–63.
[2740] Podinovski VV. The explicit role of weight bounds in models of Data Envelopment Analysis. Journal of the Operational Research
Society 2005;56(12):1408–18.
[2741] Podinovski VV, Athanassopoulos AD. Assessing the relative efficiency of decision making units using DEA models with weight.
Journal of the Operational Research Society 1998;49(5):500.
[2742] Podinovski VV, Dyson RG, Shale E. Data Envelopment Analysis at the European Summer Institute, University of Warwick.
[2743] Podinovskii VV, Sterkhova OV. Models of evaluating the efficiency of independent decision making units. Moscow University
Computational Mathematics and Cybernetics 1997;1:32–8.
[2744] Podinovskij VV, Sterkhova OV. Models for estimating efficiency of decision making units using Data Envelopment Analysis.
Vestnik Moskovskogo Universiteta: Matematika i Kibernetika 1997;15(1):23–8.
[2745] Poldaru R, Roots J. Modeling grain yield in Estonian counties: a stochastic frontier analysis approach. In: Emrouznejad A,
Podinovski V, editors. Proceedings of DEA2004. UK: Birmingham; 2004. p. 259.
[2746] Pollitt MG. Ownership and efficiency in nuclear power production. Oxford Economic Papers 1996;48(2):342–60.
[2747] Pombo C, Taborda R. Performance and efficiency in Colombia’s power distribution system: effects of the 1994 reform. Energy
Economics 2006;28(3):339–69.
[2748] Porembski M, Breitenstein K, Alpar P. Visualizing efficiency and reference relations in Data Envelopment Analysis with an
application to the branches of a German bank. Journal of Productivity Analysis 2005;23(2):203–21.
[2749] Portela MCAS, Thanassoulis E. Decomposing school and school-type efficiency. European Journal of Operational Research
2001;132(2):357–73.
[2750] Portela MCAS, Thanassoulis E. Malmquist indexes using a Geometric Distance Function (GDF). In: Emrouznejad A, Podinovski
V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 229.
[2751] Portela MCAS, Thanassoulis E. Profitability of a sample of Portuguese bank branches and its decomposition into technical and
allocative components. European Journal of Operational Research 2005;162(3):850–66.
[2752] Portela MCAS, Thanassoulis E. Zero weights and non-zero slacks: different solutions to the same problem. Annals of Operations
Research 2006;145:129–47.
[2753] Portela MCAS, Thanassoulis E. Comparative efficiency analysis of Portuguese bank branches. European Journal of Operational
Research 2007;177(2):1275–88.
[2754] Portela MCAS, Thanassoulis E. Developing a decomposable measure of profit efficiency using DEA. Journal of the Operational
Research Society 2007.
[2755] Portela MCAS, Thanassoulis E, Simpson G. Negative data in DEA: a directional distance approach applied to bank branches.
[2756] Portela MCAS, Borges PC, Thanassoulis E. Finding closest targets in non-oriented DEA models: the case of convex and nonconvex technologies. In: Emrouznejad A, Green R, Krivonozhko V, edotor. Efficiency and productivity analysis in the 21st
century, International Research in Management Science. 2002.
[2757] Portela MCAS, Borges PC, Thanassoulis E. Finding closest targets in non-oriented DEA models: the case of convex and nonconvex technologies. Journal of Productivity Analysis 2003;19(2–3):251–69.
[2758] Porter PK. The productive efficiency of US milk processing co-operatives. Journal of Agricultural Economics 1991;42(2):161–73.
[2759] Post GT. Estimating non-convex production sets using transconcave DEA. European Journal of Operational Research
2001;131:132–42.
[2760] Post GT, Spronk J. Evaluating productive performance under uncertainty: combining Data Envelopment Analysis, mean-variance
analysis, and multi-factor risk models. In: Shi Y, Zeleny M, editors. New frontiers of decision making for the Information
Technology Era, 2000. p. 249–69.
[2761] Post T. Estimating non-convex production sets-imposing convex input sets and output sets in Data Envelopment Analysis.
[2762] Post T. Performance benchmarking in stochastic environment using mean-variance Data Envelopment Analysis. Journal of the
Operational Research Society 2001;49(2).
[2763] Post T. Performance evaluation in stochastic environments using mean-variance Data Envelopment Analysis. Operations Research
2001;49(2):281–92.
[2764] Post T. Transconcave Data Envelopment Analysis. European Journal of Operational Research 2001;132(2):374–89.
[2765] Post T, Spronk J. Performance benchmarking using interactive Data Envelopment Analysis. European Journal of Operational
Research 1999;115(3):472–87.
85
[2766] Post T, Cherchye L, Kuosmanen T. Nonparametric efficiency estimation in stochastic environments. Operations Research
2002;50(4):645–55.
[2767] Powell JG, Watson J, Premachandra IM. A simulation approach for stochastic Data Envelopment Analysis. International Journal
of Information and Management Sciences 2000;11(1):11–31.
[2768] Pratsini E. Frontier analysis in air pollution. Journal of the Operational Research Society 1999;50(5):526–30.
[2769] Premachandra I, Powell JG, Jing S. Measuring the relative efficiency of fund management strategies in New Zealand using a
spreadsheet-based stochastic Data Envelopment Analysis model. Omega 1998;26(2):319–31.
[2770] Premachandra IM. A note on DEA vs. principal component analysis: an improvement to Joe Zhu’s approach. European Journal of
[2771] Premachandra IM. Controlling factor weights in Data Envelopment Analysis by incorporating decision maker’s value judgement:
an approach based on AHP. International Journal Information and Management Sciences 2001;12(2):67–82.
[2772] Premachandra IM, Powell JG, Shi J. Measuring the relative efficiency of fund management strategies. Omega 1998;26(2):319.
[2773] Price CW, WeymanJones T. Malmquist indices of productivity change in the UK gas industry before and after privatization.
[2774] Prieto AM, ZofIo JL. Evaluating effectiveness in public provision of infrastructure and equipment: the case of Spanish
municipalities. Journal of Productivity Analysis 2001;15(1):41–58.
[2775] Prieto AM, Zofio JL. Network DEA efficiency in input-output models: with an application to OECD countries. European Journal
[2776] Primont DF, Domazlicky B. Student achievement and efficiency in Missouri schools and the no child left behind act. Economics of
[2777] Prior D. Technical efficiency and scope economics in hospitals. Applied Economics 1996;28(10):1295–301.
[2778] Prior D. Long- and short-run non-parametric cost frontier efficiency: an application to Spanish savings banks. Journal of Banking
and Finance 2003;27(4):655.
[2779] Prior D. Efficiency and total quality management in health care organizations: a dynamic frontier approach. Annals of Operations
Research 2006;145:281–99.
[2780] Prior D, Surroca J. Strategic groups based on marginal rates: an application to the Spanish banking industry. European Journal of
[2781] Prior D, Solà M. Technical efficiency and economies of diversification in health care. Health Care Management Science
2000;3(4):299–307.
[2782] Prior D, Salas V. Eficiencia de empresa y eficiencia de planta en los modelos frontera no parametricos (in Spanish). Revista
Espanola de Economia 1994;11(1):139–59.
[2783] Prior DO. Technical efficiency and scope economies in hospitals. Applied Economics 1996;28(10):1295–301.
[2784] Puig-Junoy J. Measuring health production performance in the OECD. Applied Economics Letters 1998;5(4):255–9.
[2785] Puig-Junoy J. Technical efficiency in the clinical management of critically ill patients. Health Economics 1998;7(3):263–77.
[2786] Puig-Junoy J. Efficiency in primary health care: a critical review of frontier measures. Revista Espanola de Salud Publica
2000;74(5–6):483–95.
[2787] Puig-Junoy J. Eficiencia en la atencion primaria de salud: una revision critica de las medidas de frontera. Revista Espanola de Salud
Publica 2000;74(5–6):483–95.
[2788] Puig-Junoy J. Partitioning input cost efficiency into its allocative and technical components: an empirical DEA application to
hospitals. Socio-Economic Planning Sciences 2000;34(3):199–218.
[2789] Pulley L, Humphrey DB. Banks’ responses to deregulation: profits, technology and efficiency. Journal of Money, Credit and
Banking 1997;29:73–93.
[2790] Pun-Lee L, Shiu A. A Data Envelopment Analysis of the efficiency of China’s thermal power generation. Utilities Policy
2001;10(2):75–83.
[2791] Pun-Lee L, Alice S. Efficiency and productivity of China’s thermal power generation. Review of Industrial Organization
2004;24(1):73–93.
[2792] Puyenbroeck LC. Non-radial efficiency as semi-radial efficiency. In: Westermann G, editor. Data Envelopment Analysis in the
service sector, Wiesbaden, 1998. p. 51–64.
[2793] Qassim RY, Corso G, Lucena LDS, Thome ZD. Application of Data Envelopment Analysis in the performance evaluation of
electricity distribution: a review. International Journal of Business Performance Management 2005;7(1):60–70.
[2794] Qi H, Liu Y, Wang X, Xiao H, Wang S. An analysis of evaluation information: a method based on SVD and dimensionality
reduction model. In: Proceedings of the 2004 international conference on information acquisition. New York: IEEE; 2004. p. 40–5.
[2795] Qi J, Jin R. Study on some problems in application of DEA evaluation model. Journal of Shanghai Institute of Mechanical
Engineering 1996;18(4):72–80.
[2796] Qin Y, Yan K-F. Non-uniform evaluation model of mass transit hub transfer efficiency in Data Envelopment Analysis. Journal of
Xi’an Highway University 2002;22(4):48.
[2797] Qu D, Shen Z-H. Application of Data Envelopment Analysis in evaluating higher education staff ratio. Journal of Tongji
University (Natural Science) 2003;31(11):1369–73.
[2798] Quaddus MA, Siddique MAB. Handbook of sustainable development planning: studies in modelling and decision support.
Northhampton, MA: Edward Elgar Pub; 2004.
[2799] Quan L, Luo H-L. Data Envelopment Analysis regression analysis based on bootstrap approach. Journal of Shanghai Jiaotong
University 2005;39(10):1652–5.
86
[2800] Raab RA, Kotamraju P. The efficiency of the high-tech economy: conventional development indexes versus a performance index.
[2801] Raab RL, Lichty RW. Identifying subareas that comprise a greater metropolitan area: the criterion of county relative efficiency.
[2802] Raafat F. A comprehensive bibliography on justification of advanced manufacturing systems. International Journal of Production
Economics 2002;79(3):197–208.
[2803] Raff S. Preface: special issue on Data Envelopment Analysis in honor of Abraham Charnes. Computer and Operations Research
1996;23(4).
[2804] Raffo DM, Kellner MI. Empirical analysis in software process simulation modeling. Journal of Systems and Software
2000;53(1):31–41.
[2805] Raikou M, McGuire A. Estimating medical care costs under conditions of censoring. Journal of Health Economics
2004;23(3):443–70.
[2806] Raja Isidoro G. Data Envelopment Analysis versus the Canonical Correlation Theory: an empirical application to the Spanish
wine producers. In: Emrouznejad A, Podinovski V, editor. Proceedings of DEA2004, Birmingham, UK, 2004. p. 99.
[2807] Raju KS, Kumar DN. Ranking irrigation planning alternatives using Data Envelopment Analysis. Water Resources Management
2006;20(4):553–66.
[2808] Ralston D, Wright A, Garden K. Can mergers ensure the survival of credit unions in the third millennium? Journal of Banking and
Finance 2001;25(12):2277.
[2809] Ramanathan R. Using Data Envelopment Analysis for assessing the productivity of the state transport undertakings. Indian
Journal of Transport Management 1999;23(5).
[2810] Ramanathan R. A holistic approach to compare energy efficiencies of different transport modes. Energy Policy 2000;28(11):743.
[2811] Ramanathan R. A Data Envelopment Analysis of comparative performance of schools in The Netherlands. Operations Research
2001;38(2):160–82.
[2812] Ramanathan R. Business excellence of industrial groups in Oman. Measuring Business Excellence 2001;8(4):34–44.
[2813] Ramanathan R. Comparative risk assessment of energy supply technologies: a Data Envelopment Analysis approach. Energy
2001;26(2):197–203.
[2814] Ramanathan R. Combining indicators of energy consumption and CO2 emissions: a cross-country comparison. International
Journal of Global Energy Issues 2002;17(3):214–27.
[2815] Ramanathan R. Evaluating greenhouse gas control strategies for India using multi-criteria approaches. In: Toman M, Chakravorty
U, Gupta S, editors. India and global climate change: perspectives on economic and policy from a developing country, Resources
for the Future, 2003. p. 9.
[2816] Ramanathan R. An introduction to Data Envelopment Analysis. New Delhi: Sage Publications; 2003.
[2817] Ramanathan R. An analysis of energy consumption and carbon dioxide emissions in countries of the middle east and North Africa.
Energy 2005;30(15):2831–42.
[2818] Ramanathan R. Estimating energy consumption of transport modes in India using DEA and application to energy and
environmental policy. Journal of the Operational Research Society 2005;56(6):732–7.
[2819] Ramanathan R. Operations assessment of hospitals in the Sultanate of Oman. International Journal of Operations and Production
Management 2005;25(1):39–54.
[2820] Ramanathan R. Selecting the best statistical distribution-a comment and a suggestion on multi-criterion evaluation. Computers
and Industrial Engineering 2005;49(4):625–8.
[2821] Ramanathan R. A multi-factor efficiency perspective to the relationships among world GDP, energy consumption and carbon
dioxide emissions. Technological Forecasting and Social Change 2006;73(5):483–94.
[2822] Ramanathan R. Data Envelopment Analysis for weight derivation and aggregation in the analytic hierarchy process. Computer
and Operations Research 2006;33(5):1289–307.
[2823] Ramanathan R. Evaluating the comparative performance of countries of the middle east and North Africa: a DEA application.
Socio-Economic Planning Sciences 2006;40(2):156–67.
[2824] Ramanathan R, Freerk AL, Ramanathan R. Some experiences on assessment of schools in the Netherlands: a comparison between
DEA and MCDA. In: Proceedings of 17th international institute for applied systems analysis on the future of decision analysis and
support, IIASA, 1999.
[2825] Rangan N, Grabowski R, Aly HY, Pasurka C. The technical efficiency of US banks. Economics Letters 1988;2:169–75.
[2826] Rao R. Efficiency and equity in dynamic principal-agent problems. Journal of Economics 1992;5:17–41.
[2827] Rassafi AA, Vaziri M. Application of Data Envelopment Analysis in identifying milestones for passenger and freight
transportation sustainability. Scientia Iranica 2005;12(4):426–36.
[2828] Raty T. Efficient facet based efficiency index: a variable returns to scale specification. Journal of Productivity Analysis
2002;17(1–2):65–82.
[2829] Raveh A. The Greek banking system: reanalysis of performance. European Journal of Operational Research 2000;120(3):525–34.
[2830] Ray SC. DEA, nondiscretionary inputs and efficiency: an alternative interpretation. Socio-Economic Planning Sciences
1985;22(4):167–76.
[2831] Ray SC. Data Envelopment Analysis, nondiscretionary inputs and efficiency: an alternative interpretation. Socio-Economic
Planning Sciences 1988;2:167–76.
[2832] Ray SC. Resource-use efficiency in public schools: a study of Connecticut data. Management Science 1991;37(12):1620–8.
87
[2833] Ray SC. Weak axiom of cost dominance: a nonparametric test of cost efficiency without input quantity data. Journal of
[2834] Ray SC. Measuring scale efficiency from a translog production function. Journal of Productivity Analysis 1999;11(2):183–94.
[2835] Ray SC. Data Envelopment Analysis: theory and techniques for economics and operations research. Cambridge, UK: Cambridge
University Press; 2004.
[2836] Ray SC, Desli E. Productivity growth, technical progress, and efficiency change in industrialized countries: comment. American
Economic Review 1997;87(5):1033–9.
[2837] Ray SC, Kim HJ. Cost efficiency in the United States steel industry—a nonparametric analysis using Data Envelopment Analysis.
European Journal of Operational Research 1995;8:654–71.
[2838] Ray SC, Hiung Joon K. Cost efficiency in the US steel industry: a nonparametric analysis using Data Envelopment Analysis.
[2839] Ray SC, Mukherjee K. Decomposition of the fisher ideal index of productivity: a non-parametric dual analysis of US airlines data.
Economic Journal 1996;106(439):1659–78.
[2840] Ray SC, Mukherjee K. Quantity, quality, and efficiency for a partially super-additive cost function: Connecticut public schools
revisited. Journal of Productivity Analysis 1998;10(1):47–62.
[2841] Ray SC, Mukherjee K. Study of size efficiency in US banking: identifying banks that are too large. International Journal of
Systems Science 1998;29(11):1281–94.
[2842] Ray SC, Hu XW. On the technically efficient organization of an industry: a study of US airlines. Journal of Productivity Analysis
1997;8(1):5–18.
[2843] Ray SC, Seiford LM, Zhu J. Market entity behavior of Chinese state-owned enterprises. Omega 1998;26(2):263–78.
[2844] Read LE, Thanassoulis E. Improving the identification of returns to scale in Data Envelopment Analysis. Journal of the
[2845] Reda M. Bank efficiency and liberalisation: a case study of Egyptian commercial banks. In: Emrouznejad A, Green R,
2002.
[2846] Reichmann G. Measuring university library efficiency of using Data Envelopment Analysis. Libri: International Journal of
Libraries and Information Services 2004;54(2):136–46.
[2847] Reichmann G, Sommersguter-Reichmann M. University library benchmarking: an international comparison using DEA.
[2848] Reid C, Squires D, Jeon Y, Rodwell L, Clarke R. An analysis of fishing capacity in the western and central Pacific Ocean Tuna
fishery and management implications. Marine Policy 2003;27(6):449–69.
[2849] Reif JH, Smolka SA. Data flow analysis of distributed communicating processes international. Journal of Parallel Programming
1990;19(1):1–30.
[2850] Reig-Martinez E, Picazo-Tadeo AJ. Analysing farming systems with Data Envelopment Analysis: citrus farming in Spain.
Agricultural Systems 2004;82(1):17–30.
[2851] Reiner G, Hofmann P. Efficiency analysis of supply chain processes. International Journal of Production Research
2006;44(23):5065–87.
[2852] Reinhard S, Lovell CAK, Thijssen GJ. Environmental efficiency with multiple environmentally detrimental variables; estimated
with SFA and DEA. European Journal of Operational Research 2000;121(2):287–303.
[2853] Reisman A. Data Envelopment Analysis: preface to a special issue of Socio-Econ Planning Sciences. Socio-Economic Planning
Sciences 2003;38:115–21.
[2854] Reisman A, Kirschnick F. Research strategies used by OR/MS workers as shown by an analysis of papers in flagship journals.
[2855] Reisman A, Oral M, Gattoufi S. Absolutely positively operations research: 50 years of contributions by William Wager Cooper?
Interfaces 2006;35(2):164–78.
[2856] Renner A, Kirigia JM, Zere EA, Barry SP, Kirigia DG, Kamara C, et al. Technical efficiency of peripheral health units in Pujehun
district of Sierra Leone: a DEA application. Health Services Research 2005;5(77).
[2857] Resende M. Regulatory regimes and efficiency in US local telephony. Oxford Economic Papers 2000;52(3):447–70.
[2858] Resende M. Relative efficiency measurement and prospects for yardstick competition in Brazilian electricity distribution. Energy
Policy 2002;30(8):637–47.
[2859] Resende M, Otavio Facanha L. Price-cap regulation and service-quality in telecommunications: an empirical study. Information
Economics and Policy 2005;17(1):1–12.
[2860] Resende M, Facanha LO. Privatization and efficiency in Brazilian telecommunications: an empirical study. Applied Economics
Letters 2002;9(12):823–6.
[2861] Resti A. Evaluating the cost-efficiency of the Italian banking system: what can be learned from the joint application of parametric
and non-parametric techniques. Journal of Banking and Finance 1997;21(2):221–50.
[2862] Resti A. Efficiency measurement for multi-product industries: a comparison of classic and recent techniques based on simulated
data. European Journal of Operational Research 2000;121(3):559–78.
[2863] Retzlaff-Roberts DL. Reexamining the normalization issue in LP discriminant analysis. In: Proceedings of the Decision Sciences
Institute 1994, vol. 2. Annual meeting, Decision Sciences Institute, 1994. p. 1233–5.
[2864] Retzlaff-Roberts DL. A ratio model for discriminant analysis using linear programming. European Journal of Operational
Research 1996;94(1):112–21.
88
[2865] Retzlaff-Roberts DL. Relating discriminant analysis and Data Envelopment Analysis to one another. Computer and Operations
Research 1996;23(4):311–22.
[2866] Retzlaff-Roberts DL. Relating discriminant-analysis and Data Envelopment Analysis to one another. Computer and Operations
Research 1996;23:311–22.
[2867] Retzlaff-Roberts DL. A Data Envelopment Analysis approach to discriminant analysis. Annals of Operations Research
1997;73:299–321.
[2868] Retzlaff-Roberts DL, Fine DJ. Estimating the hospital-wide cost differentials warranted for teaching hospitals: an alternative to
regression approaches. Medical Care 1995;33(5):531–52.
[2869] Retzlaff-Roberts DL, Puelz R. Classification in automobile insurance using a DEA and discriminant analysis hybrid. Journal of
[2870] Retzlaff-Roberts DL, Morey RC. A goal-programming method of stochastic allocative Data Envelopment Analysis. European
[2871] Retzlaff-Roberts DL, Chang CF, Rubin RM. Technical efficiency in the use of health care resources: a comparison of OECD
countries. Health Policy 2004;69(1):55–72.
[2872] Retzlaff-Roberts DL, Fine DJ, Loree SW, Tsubakitani S. The trade-off between hospital cost and quality of care. An exploratory
empirical analysis. Medical Care 1992;30(8):677–98.
[2873] Revilla E, Sarkis J, Modrego A. Evaluating performance of public-private research collaborations: a DEA analysis. Journal of the
[2874] Reynolds D. An exploratory investigation of multiunit restaurant productivity assessment using Data Envelopment Analysis.
Journal of Travel and Tourism Marketing 2004;16(2/3):19–26.
[2875] Rezitis AN. Productivity growth in the Greek banking industry: a non-parametric approach. Journal of Applied Economics
2006;9(1):119–38.
[2876] Rezvanian R, Mehdian S. An examination of cost structure and production performance of commercial banks in Singapore.
[2877] Rhodes EL. An exploratory analysis of variations in performance among US national parks. In: Silkman RH, editor. Measuring
efficiency: an assessment of Data Envelopment Analysis. San Francisco, CA: Jossey-Bass; 1986. p. 47–71.
[2878] Rhodes EL. Using Data Envelopment Analysis (DEA) to evaluate environmental quality and justice: a different way of looking at
the same old numbers. International Journal of Public Administration 2002;25(2/3):253.
[2879] Rhodes EL. Environmental justice in America: a new paradigm. Bloomington: Indiana University Press; 2003.
[2880] Richmond J. Slack and net technical efficiency measurement: a bootstrap approach. International Journal of Information
Technology and Decision 2005;4(3):395–410.
[2881] Rickards RC. Setting benchmarks and evaluating balanced scorecards with Data Envelopment Analysis. Benchmarking
2003;10(3):226–45.
[2882] Riddington G, Cowie J. Performance assessment using DEA: a cautionary note. Journal of the Operational Research Society
1994;45(5):603–4.
[2883] Riddington G, Cowie J. Viewpoints: performance assessment using DEA—a cautionary note. Journal of the Operational Research
Society 1994;45(5):603–4.
[2884] Rilstone P. Semiparametric-IV estimation with parameter dependent instruments. Econometric Theory 1992;8(3):403–6.
[2885] Ritchie PC, Rowcroft JE. Choice of metric in the measurement of relative productivity efficiency. International Journal of
Production Economics 1996;46–47:433–9.
[2886] Ritter C, Simar L. Pitfalls of normal-gamma stochastic frontier models. Journal of Productivity Analysis 1997;8(2):167–82.
[2887] Robinson PM. Automatic frequency-domain inference on semiparametric and nonparametric models. Econometrica
1991;5:1329–63.
[2888] Robinson PM. Consistent nonparametric entropy-based testing. Review of Economic Studies 1991;5:437–53.
[2889] Rodriguez-Diaz JA, Camacho-Poyato E, Lopez-Luque R. Application of Data Envelopment Analysis to studies of irrigation
efficiency in Andalusia. Journal of Irrigation and Drainage Engineering 2004;130(3):175–83.
[2890] Rogers JW, Louis GE. A financial resource allocation model for regional water systems. International Transactions in Operational
Research 2007;14(1):25–37.
[2891] Rogowski G. Application of bank efficiency analysis to bank strategic management. 1. Methodology. Badania Operacyjne i
Decyzje 1999(1):69–89.
[2892] Roll Y, Golany B. Alternate methods of treating factor weights in DEA. Omega 1993;21(1):99–109.
[2893] Roll Y, Cook WD. Partial efficiencies in Data Envelopment Analysis. Socio-Economic Planning Sciences 1993;2:171–9.
[2894] Roll Y, Hayuth Y. Port performance comparison applying Data Envelopment Analysis. Maritime Policy and Management
1993;20(2).
[2895] Roll Y, Golany B, Seroussy D. Measuring the efficiency of maintenance units in the Israeli air force. European Journal of
[2896] Roll Y, Serroussy D, Golany B. Measuring the efficiency of maintenance units in the Israeli air-force. European Journal of
[2897] Roll Y, Cook WD, Golany B. Controlling factor weights in Data Envelopment Analysis. IIE Transactions 1991;23(1):2–9.
[2898] Rolle A. Out with the old—in with the new: thoughts on the future of educational productivity research. Peabody Journal of
Education 2004;79(3):31–56.
89
[2899] Rollins J, Lee K, Xu Y, Ozcan YA. Longitudinal study of health maintenance organization efficiency. Health Services
[2900] Roman M, Roman M. Data development analysis method in labour efficiency analysis. Economic Computation and Economic
Cybernetics Studies and Research 2000;34(1–4):79–89.
[2901] Romano E. Accounting for environmental influences in stochastic frontier models: with application to international airlines.
[2902] Rosen D, Schaffnit C, Paradi JC. Marginal rates and two-dimensional level curves in DEA. Journal of Productivity Analysis
1998;9(3):205–32.
[2903] Rosenberg D. E.F.P.F (economic frontier production function): DEA (Data Envelopment Analysis) preview. Journal of Health
and Human Resources Administration 1991;14(1):77–83.
[2904] Rosenberg D. Forget CEA (cost effectiveness analysis). Use DEA (Data Envelopment Analysis). Journal of Health and Human
Resources Administration 1991;14(1):101–12.
[2905] Rosenberg D. Productivity analysis: DEA (Data Envelopment Analysis) with fixed inputs. Journal of Health and Human
Resources Administration 1991;14(1):84–8.
[2906] Rosenberg D. DEA (Data Envelopment Analysis) or dubious efficiency assessment. Journal of Health and Human Resources
Administration 1991;14(1):65–76.
[2907] Rosenberg E, Gleit A. Quantitative methods in credit management: a survey. Operations Research 1994;42(4):589–613.
[2908] Rosenman R. Cost inefficiency in Washington hospitals: a stochastic frontier approach using panel data. Health Care Management
Science 2001;4(2):73–81.
[2909] Rosenman R, Siddharthan K, Ahern M. Output efficiency of health maintenance organizations in Florida. Health Economics
1997;6(3):295–302.
[2910] Rosenman R, Siddharthan K, Ahern M. Data Envelopment Analysis to determine efficiencies of health maintenance organizations.
[2911] Rosko MD. Measuring technical efficiency in health care organizations. Journal of Medical Systems 1990;14(5):307–22.
[2912] Rosko MD. Impact of internal and external environmental pressures on hospital inefficiency. Health Care Management Science
1999;2(2):63–74.
[2913] Rosko MD, Chilingerian JA, Zinn JS, Aaronson WE. The effects of ownership, operating environment, and strategic choices on
nursing home efficiency. Medical Care 1995;3:1001–21.
[2914] Ross A, Droge C. An integrated benchmarking approach to distribution center performance using DEA modeling. Journal of
[2915] Ross A, Ernstberger K. Benchmarking the it productivity paradox: recent evidence from the manufacturing sector. Mathematical
and Computer Modelling 2006;44(1–2):30–42.
[2916] Ross A, Venkataramanan MA. Multi commodity multi-echelon distribution planning: a DSS approach with application. In:
Proceedings of the annual meeting of the Decision Sciences Institute, vol. 3. Atlanta, GA, USA: Decision Sciences Institute; 1997.
p. 1489–91.
[2917] Ross A, Venkataramanan MA, Ernstberger KW. Reconfiguring the supply network using current performance data. Decision
Sciences 1998;29(3):707–28.
[2918] Ross AD, Droge C. An analysis of operations efficiency in large-scale distribution systems. Journal of Operations Management
2004;21(6):673–88.
[2919] Rossi MA. Technical change and efficiency measures: the post-privatisation in the gas distribution sector in Argentina. Energy
Economics 2001;23(3):295–304.
[2920] Rouse, Paul O. Performance measurement. Chartered Accountants Journal of New Zealand 1995;74(9):18–9.
[2921] Rouse P, Putterill M. Local government amalgamation policy: a highway maintenance evaluation. Management Accounting
Research 2005;16(4):438–63.
[2922] Rouse P, Swales R. Pricing public health care services using DEA: methodology versus politics. Annals of Operations Research
2006;145:265–80.
[2923] Rouse P, Putterill M, Ryan D. Towards a general managerial framework for performance measurement: a comprehensive highway
maintenance application. Journal of Productivity Analysis 1997;8(2):127–49.
[2924] Rouse P, Putterill M, Ryan D. Integrated performance measurement design: insights from an application in aircraft maintenance.
Management Accounting Research 2002;13(2):229–48.
[2925] Rousseau JJ, Phillips FY. Systems and management science by extremal methods. Boston, USA: Kluwer; 1992.
[2926] Rousseau JJ, Semple JH. Categorical outputs in Data Envelopment Analysis. Management Science 1993;39(3):384–6.
[2927] Rousseau JJ, Semple JH. Notes: categorical outputs in Data Envelopment Analysis. Management Science 1993;39(3):384–6.
[2928] Rousseau JJ, Semple JH. Radii of classification preservation in Data Envelopment Analysis: a case study of’program follow.
Journal of the Operational Research Society 1995;44:943–57.
[2929] Rousseau JJ, Semple JH. Two-person ratio efficiency games. Management Science 1995;41(3):435–41.
[2930] Rousseau JJ, Semple JH. Dominant competitive factors for evaluating program efficiency in grouped data. Annals of Operations
Research 1997;73:253–76.
[2931] Rousseau S, Rousseau R. Data Envelopment Analysis as a tool for constructing scientometric indicators. Scientometrics
1997;40(1):45–56.
[2932] Rousseau S, Rousseau R. The scientific wealth of European nations: taking effectiveness into account. Scientometrics
1998;42(1):75–87.
90
[2933] Roy S, Nagpaul PS. A quantitative evaluation of relative efficiencies of research and development laboratories: a Data
Envelopment Analysis approach. In: Proceedings of eighth international conference on scientometrics and informetrics, vol. 2. New
South Wales: BIRG, University; 2001. p. 629–38.
[2934] Rudnick H, Sanhueza R. Benchmark regulation and efficiency of electricity distribution in a restructured power sector. In:
Proceedings of the 2004 IEEE international conference on electric utility deregulation, restructuring and power technologies. New
York: IEEE; 2004. p. 9–12.
[2935] Ruey Kei C, Koh SCL, Gunasekaran A. An empirical analysis of business efficiency from the implementation of enterprise
information system. International Journal of Business Information Systems 2006;1(4):387–407.
[2936] Ruggiero J. Efficiency of educational production: an analysis of New York school districts. Review of Economics and Statistics
1996;78(3):499–509.
[2937] Ruggiero J. Measuring technical inefficiency in the public sector: an analysis of educational production. Review of Economics and
Statistics 1996;78(3):499–509.
[2938] Ruggiero J. On the measurement of technical efficiency in the public sector. European Journal of Operational Research
1996;90(3):553–65.
[2939] Ruggiero J. New approach for technical efficiency estimation in multiple output production. European Journal of Operational
Research 1998;111(2):369–80.
[2940] Ruggiero J. Non-discretionary inputs in Data Envelopment Analysis. European Journal of Operational Research
1998;111(3):461–9.
[2941] Ruggiero J. Efficiency estimation and error decomposition in the stochastic frontier model: a Monte Carlo analysis. European
[2942] Ruggiero J. Nonparametric analysis of educational costs. European Journal of Operational Research 1999;119(3):605–12.
[2943] Ruggiero J. Measuring technical efficiency. European Journal of Operational Research 2000;121(1):138–50.
[2944] Ruggiero J. Nonparametric estimation of returns to scale in the public sector with an application to the provision of educational
services. Journal of the Operational Research Society 2000;51(8):906–12.
[2945] Ruggiero J. Determining the base cost of education: an analysis of Ohio school districts. Contemporary Economic Policy
2001;19(3):268–79.
[2946] Ruggiero J. Comment on estimating school efficiency. Economics of Education Review 2003;22(6):631.
[2947] Ruggiero J. Data Envelopment Analysis with stochastic data. Journal of the Operational Research Society 2004;55(9):1008–12.
[2948] Ruggiero J. Performance evaluation when non-discretionary factors correlate with technical efficiency. European Journal of
[2949] Ruggiero J. Impact assessment of input omission on DEA. International Journal of Information Technology and Decision
2005;4(3):359–68.
[2950] Ruggiero J. Measurement error, education production and Data Envelopment Analysis. Economics of Education Review
2006;25(3):327–33.
[2951] Ruggiero J, Vitaliano DF. Assessing the efficiency of public schools using Data Envelopment Analysis and frontier regression.
Issue Series Title: Contemporary Economic Policy 1999;17(3):321.
[2952] Ruggiero J, Bretschneider S. The weighted Russell measure of technical efficiency. European Journal of Operational Research
1998;108(2):438–51.
[2953] Ruggiero J, Duncombe W. On the measurement and causes of technical inefficiency in local public services: with an application to
public education. Journal of Public Administration Research and Theory (Transaction) 1995;5(4):403–28.
[2954] Ruggiero J, Miner J, Blanchard L. Measuring equity of educational outcomes in the presence of inefficiency. European Journal of
[2955] Ruggiero J, Muniz M, Paradi JC, Zijiang Y. Evaluating alternative DEA models used to control for non-discretionary inputs.
[2956] Rui W, Jing Y, Zongyi Z, Ling L, Kaige D. A game model for selection of purchasing bids in consideration of fuzzy values. In:
Proceedings of the international conference on services systems and services management, vol. 1. New York: IEEE; 2005. p. 254–8.
[2957] Ruiz JL, Sirvent I. Techniques for the assessment of influence in DEA. European Journal of Operational Research
2001;132(2):390–9.
[2958] Ruiz-Torres AJ, Lopez FJ. Using the FDH formulation of DEA to evaluate a multi-criteria problem in parallel machine
scheduling. Computers and Industrial Engineering 2004;47(2–3):107–21.
[2959] Rumsey H. Productivity measurement by Data Envelopment Analysis and related models: an application to Air Force Civil
Engineering. In: Proceedings of the American Society for engineering management, Annual meeting, 1987.
[2960] Russell RR. Measures of technical efficiency. Journal of Economic Theory 1985;35:109–26.
[2961] Russell RR. On the axiomatic approach to the measurement of technical efficiency. In: Eichhorn W, editor. Measurement in
economics, Physics-Verlag, 1988.
[2962] Russell RR, Hackman ST. Duality and continuity. Journal of Productivity Analysis 1995;6(2):99–116.
[2963] Rust RT, Metters R. Mathematical models of service. European Journal of Operational Research 1996;91(3):427–39.
[2964] Ruttan VW. Productivity growth in world agriculture: sources and constraints. Journal of Economic Perspectives
2002;16(4):161–84.
[2965] Ryan MJ. Variance analysis, normed costs and public safety organizations. Applied Economics 2001;33(6):755–62.
[2966] Ryan MJ. Constrained game approaches to the systematic regulation of land use variability. Annals of Regional Science
2002;36(3):497.
91
[2967] Ryan MJ. Data Envelopment Analysis, cost efficiency and performance targetting. Journal of Information and Optimization
Sciences 2002;23(2):241–58.
[2968] Saati Mohtadi S, Memariani SA, Jahanshahloo GR. Efficiency analysis and ranking of DMUs with fuzzy data. Fuzzy
Optimization and Decision Making 2002;1:255–67.
[2969] Saati S, Memariani A. Reducing weight flexibility in fuzzy DEA. Applied Mathematics and Computation 2005;161(2):611–22.
[2970] Saati S, Daneshvar S, Jahanshahloo GR, Memariani A. Sensitivity analysis of extreme efficient decision making units in DEA.
Journal of Interdisciplinary Mathematics 2003:195–201.
[2971] Saati S, Saati S, Zarafat Angiz M, Memariani A, Jahanshahloo GR. A model for ranking decision making units in Data
Envelopment Analysis. Ricerca Operativa 2001;3:47–59.
[2972] Saen RF. Developing a nondiscretionary model of slacks-based measure in Data Envelopment Analysis. Applied Mathematics and
Computation 2005;169(2):1440–7.
[2973] Saen RF. A decision model for selecting slightly non-homogeneous technologies. Applied Mathematics and Computation
2006;177(1):149–58.
[2974] Saen RF. A decision model for technology selection in the existence of both cardinal and ordinal data. Applied Mathematics and
Computation 2006;181(2):1600–8.
[2975] Saen RF. An algorithm for ranking technology suppliers in the presence of nondiscretionary factors. Applied Mathematics and
Computation 2006;181(2):1616–23.
[2976] Saen RF. Technologies ranking in the presence of both cardinal and ordinal data. Applied Mathematics and Computation
2006;176(2):476–87.
[2977] Saen RF, Memariani A, Lotfi FH. Determining relative efficiency of slightly non-homogeneous decision making units by Data
Envelopment Analysis: a case study in Irost. Applied Mathematics and Computation 2005;165(2):313–28.
[2978] Saen RF, Memariani A, Lotfi FH. The effect of correlation coefficient among multiple input vectors on the efficiency mean in Data
Envelopment Analysis. Applied Mathematics and Computation 2005;162(2):503–21.
[2979] Saha A, Ravisankar TS. Rating of Indian commercial banks: a DEA approach. European Journal of Operational Research
2000;124(1):187–203.
[2980] Sahin I, Ozcan YA. Public sector hospital efficiency for provincial markets in Turkey. Journal of Medical Systems
2000;24(6):307–20.
[2981] Sahoo BK. Returns to scale and technical efficiency in Indian agriculture. Anvesak 2000;30(1):39–60.
[2982] Sahoo BK. An empirical comparison of Farrell and Koopmans measures of technical efficiency in Data Envelopment Analysis.
Anvesak 2003;3:81–110.
[2983] Sahoo BK, Mohapatra PKJ. Measuring technical efficiency in Data Envelopment Analysis. Operations Research
2001;38(5):456–83.
[2984] Sahoo BK, Mokpatra PKJ, Trivedi ML. A comparative application of Data Envelopment Analysis and frontier translog
production function for estimating returns to scale and efficiencies. International Journal of Systems Science 1999;30(4):379–94.
[2985] Salehirad N, Sowlati T. Performance analysis of primary wood producers in British Columbia using Data Envelopment Analysis.
[2986] Salehirad N, Sowlati T. Productivity and efficiency assessment of the wood industry: a review with a focus on Canada. Forest
Products Journal 2006;56(11–12):25–32.
[2987] Salerian J, Chan C. Restricting multiple-output multiple-input DEA models by disaggregating the output-input vector. Journal of
[2988] Salerno C. Using Data Envelopment Analysis to improve estimates of higher education institutionions. Education Economics
2006;14(3):281–95.
[2989] Salinas-Jimenez J, Smith P. Data Envelopment Analysis applied to quality in primary health care. Annals of Operations Research
1996;67:141–61.
[2990] Salo A, Gustafsson T, Ramanathan R. Multicriteria methods for technology foresight. Journal of Forecasting
2003;22(2–3):235–55.
[2991] Sandblom CL. Special issue of infor on managerial decision analysis. INFOR 2001;39(1):1–3.
[2992] Sanhueza R, Rudnick H. Discussion of ‘‘performance evaluation of electric distribution utilities based on Data Envelopment
Analysis’’. IEEE Transactions on Power Systems 2003;18(3):1220.
[2993] Sanhueza R, Rudnick H. Discussion on performance evaluation of electric distribution utilities based on Data Envelopment
Analysis. IEEE Transactions on Power Systems 2003;18(3):1220–1.
[2994] Sanhueza R, Rudnick H, Lagunas H. DEA efficiency for the determination of the electric power distribution added value. IEEE
Transactions on Power Systems 2004;19(2):919–25.
[2995] Santin D, Delgado FJ, Valino A. The measurement of technical efficiency: a neural network approach. Applied Economics
2004;36(6):627–35.
[2996] Santos J, Themido I. An application of recent developments of Data Envelopment Analysis to the evaluation of secondary schools.
Portugal IJSTM 2001;2(1/2):00.
[2997] Santos J, Themido I. An application of recent developments of Data Envelopment Analysis to the evaluation of secondary schools
in Portugal. International Journal of Services Technology and Management 2001;2(1–2):142–60.
[2998] Sarafoglou N. The most influential DEA publications: a comment on Seiford. Journal of Productivity Analysis 1998;9(3):279–81.
[2999] Sarafoglou N, Haynes KE. Regional efficiencies of building sector research in Sweden. An introduction. Computers, Environment
and Urban Systems 1990;14(2):117–32.
92
[3000] Sarafoglou N, Haynes KE. University productivity in Sweden: a demonstration and explanatory analysis for economics and
business programs. Annals of Regional Science 1996;30(3):285–304.
[3001] Sarath B, Maindiratta A. On the consistency of maximum likelihood estimation of monotone and concave production frontiers.
[3002] Sarker D, De S. Non-parametric approach to the study of farm efficiency in agriculture. Journal of Contemporary Asia
2004;34(2):207–20.
[3003] Sarkis J. An empirical analysis of productivity and complexity for flexible manufacturing systems. International Journal of
Production Economics 1997;48(1):39–48.
[3004] Sarkis J. Evaluating flexible manufacturing systems alternatives using Data Envelopment Analysis. Engineering Economist
1997;43(1):25–47.
[3005] Sarkis J. Extensions in efficiency measurement of alternate machine component grouping solutions. IEEE Transactions on
Engineering Management 1997;44(3).
[3006] Sarkis J. Methodological framework for evaluating environmentally conscious manufacturing programs. Computers and Industrial
Engineering 1999;36(4):793–810.
[3007] Sarkis J. Analysis of the operational efficiency of major airports in the US. Journal of Operations Management 2000;18(3):335–51.
[3008] Sarkis J. Comparative analysis of DEA as a discrete alternative multiple criteria decision tool. European Journal of Operational
Research 2000;123(3):543–57.
[3009] Sarkis J. Ecoefficiency: how Data Envelopment Analysis can be used by managers and researchers. In: Proceedings of the
International Society for Optical Engineering, vol. 4193, Society of Photo-Optical Instrumentation Engineers, 2001. p. 194–203.
[3010] Sarkis J. environmental benchmarking of the largest fossil-fueled electricity generating plants in the US. In: Proceeding of the
International Society for Optical Engineering, vol. 5262, SPIE International Society of Optical Engineering, 2003. p. 182–92.
[3011] Sarkis J. The adoption of environmental and risk management practices: relationships to environmental performance. Annals of
[3012] Sarkis J, Cordeiro J. An investigation of the relationship between environmental and financial performance of organizations. In:
Proceedings of performance measurements—theory and practice, 1998. p. 255–62.
[3013] Sarkis J, Cordeiro J. Empirical evaluation of environmental efficiencies and firm performance: pollution prevention versus end-ofpipe practice. In: Proceedings of the annual meeting of the Decision Sciences Institute, vol. 1. Atlanta, GA, USA: Decision Sciences
Institute; 1998. p. 461–3.
[3014] Sarkis J, Dijkshoorn J. Eco-efficiency of solid waste management in Welsh SMEs. In: Proceedings of the International Society for
Optical Engineering, vol. 5997. Bellingham WA, USA: International Society for Optical Engineering; 2005. p. 59970.
[3015] Sarkis J, Weinrach J. Using Data Envelopment Analysis to evaluate environmentally conscious waste treatment technology.
Journal of Cleaner Production 2001;9(5):417–27.
[3016] Sarkis J, Talluri S. A decision model for evaluation of flexible manufacturing systems in the presence of both cardinal and ordinal
factors. International Journal of Production Research 1999;37(13):2927–38.
[3017] Sarkis J, Talluri S. A synergistic framework for evaluating business process improvements. International Journal of Flexible
Manufacturing Systems 2002;14(1):53–71.
[3018] Sarkis J, Talluri S. Efficiency measurement of hospitals: issues and extensions. International Journal of Operations and Production
Management 2002;22(3):306–13.
[3019] Sarkis J, Talluri S. Eco-efficiency measurement using Data Envelopment Analysis: research and practitioner issues. Journal of
Environmental Assessment Policy and Management 2004;6(1):91–123.
[3020] Sarkis J, Talluri S. Performance based clustering for benchmarking of US airports. Transportation Research Part A: Policy and
Practice 2004;38A(5):329–46.
[3021] Sarrico C. An introduction to Data Envelopment Analysis: a tool for performance measurement. Journal of the Operational
[3022] Sarrico CS, Dyson RG. Using DEA for planning in UK universities-an institutional perspective. Journal of the Operational
[3023] Sarrico CS, Dyson RG. Restricting virtual weights in Data Envelopment Analysis. European Journal of Operational Research
2004;159(1):17–34.
[3024] Sarrico CS, Hogan SM, Dyson RG, Athanassopoulos AD. Data Envelopment Analysis and university selection. Journal of the
[3025] Sathye M. X-efficiency in Australian banking: an empirical investigation. Journal of Banking and Finance 2001;25(3):613–30.
[3026] Sathye M. Efficiency of banks in a developing economy: the case of India. European Journal of Operational Research
2003;148(3):662–71.
[3027] Satpathy B, Hota SK. DEA modeling for optimal resource use in rice production. Operations Research 2004;41(3):148–54.
[3028] Sawaragi Y, Nakayama H, Tanino T. Theory of multiple objective optmization. New York, USA: Academic; 1985.
[3029] Schaffnit C, Rosen D, Paradi JC. Best practice analysis of bank branches: an application of DEA in a large Canadian bank.
[3030] Scheel H. Undesirable outputs in efficiency valuations. European Journal of Operational Research 2001;132(2):400–10.
[3031] Scheel H, Scholtes S. Continuity of DEA efficiency measures. Operations Research 2003;51(1):149–59.
[3032] Schefczyk M. Industrial benchmarking a case study of performance analysis techniques. International Journal of Production
Economics 1993;3(1):2–11.
93
[3033] Schefczyk M. Operational performance of airlines: an extension of traditional measurement paradigms. Strategic Management
Journal 1993;3(1):301–17.
[3034] Scheraga CA. Operational efficiency versus financial mobility in the global airline industry: a data envelopment and Tobit analysis.
Transportation Research Part A: Policy and Practice 2004;38A(5):383–404.
[3035] Scheraga CA. The relationship between operational efficiency and customer service: a global study of thirty-eight large
international airlines. Transportation Journal 2004;43(3):48–58.
[3036] Schmidt P. Frontier production functions. Econometric Reviews 1986;4:289–328.
[3037] Schmidt P, Lovell CAK. A comparison of alternative approaches to the measurement of productive efficiency. In: Dogramaci A,
Rolf F, editors. Applications of modern production theory: efficiency and productivity. Dordrecht, The Netherlands: Kluwer;
1988. p. 3–32.
[3038] Schneider M. Judicial career incentives and court performance: an empirical study of the German labour courts of appeal.
European Journal of Law and Economics 2005;20(2):127–44.
[3039] Schwaiger M, Opitz O. Exploratory Data Analysis in empirical research, Berlin, Heidelberg, 2002.
[3040] Scully GW. Reform and efficiency gains in the New Zealand electrical supply industry. Journal of Productivity Analysis
1999;11(2):133–47.
[3041] Sear AM. Operating characteristics and comparative performance of investor-owned multihospital systems. Hospital and Health
Services Administration 1992;37.
[3042] Seaver B, Triantis K, Hoopes BJ. Efficiency performance and dominance in influential subsets: an evaluation using fuzzy clustering
and pair-wise dominance. Journal of Productivity Analysis 2004;21(2):201–20.
[3043] Seaver BL, Triantis KP. A fuzzy clustering approach used in evaluating technical efficiency measures in manufacturing the. Journal
of Productivity Analysis 1992:337–63.
[3044] Seaver BL, Triantis KP. The impact of outliers and leverage points for technical efficiency measurement using high breakdown
procedures. Management Science 1995;41(6):937–56.
[3045] Seems D, Arcelus F, Srinivasan G, Arocena P, Nasierowski W. On the efficiency vs. effectiveness of an active fixed income portfolio
growth vs. catching-up: a non-parametric frontier analysis of regional convergence. International Journal of Operations and
Quantitative Management 2001;7(1):77–111.
[3046] Seiford LM. Models, extensions, and applications of Data Envelopment Analysis: a selected reference set. Computers,
Environment and Urban Systems 1990;14(2):171–5.
[3047] Seiford LM. A bibliography of Data Envelopment Analysis. In: Charnes A, Cooper WW, Lewin AY, Seiford LM, editors. Data
[3048] Seiford LM. Data Envelopment Analysis: the evolution of the state of the art (1978–1995). Journal of Productivity Analysis
1996;7(2–3):99–137.
[3049] Seiford LM. A bibliography for Data Envelopment Analysis (1978–1996). Annals of Operations Research 1997;73:393–438.
[3050] Seiford LM, Zhu J. Acceptance system decision rule with Data Envelopment Analysis. Computer and Operations Research
1998;25(4):329–32.
[3051] Seiford LM, Zhu J. Identifying excesses and deficits in Chinese industrial productivity (1953–1990): a weighted Data Envelopment
Analysis approach. Omega 1998;26(2):279–96.
[3052] Seiford LM, Zhu J. On alternative optimal solutions in the estimation of returns to scale in DEA. European Journal of Operational
Research 1998;108(1):149–52.
[3053] Seiford LM, Zhu J. On piecewise loglinear frontiers and log efficiency measures. Computer and Operations Research
1998;25(5):389–95.
[3054] Seiford LM, Zhu J. Sensitivity analysis of DEA models for simultaneous changes in all the data. Journal of the Operational
[3055] Seiford LM, Zhu J. Stability regions for maintaining efficiency in Data Envelopment Analysis. European Journal of Operational
Research 1998;108(1):127–39.
[3056] Seiford LM, Zhu J. An investigation of returns to scale in Data Envelopment Analysis. Omega 1999;27(1):1–11.
[3057] Seiford LM, Zhu J. Infeasibility of super-efficiency Data Envelopment Analysis models. INFOR 1999;37(2):174–86.
[3058] Seiford LM, Zhu J. Profitability and marketability of the top 55 US commercial banks. Management Science 1999;45(9):1270–88.
[3059] Seiford LM, Zhu J. Sensitivity and stability of the classifications of returns to scale in Data Envelopment Analysis. Journal of
[3060] Seiford LM, Zhu J. Modeling undesirable factors in efficiency evaluation. European Journal of Operational Research
2002;142(1):16–20.
[3061] Seiford LM, Zhu J. Context-dependent Data Envelopment Analysis measuring attractiveness and progress. Omega 2003;31(5):397.
[3062] Seiford LM, Zhu J. A response to comments on modeling undesirable factors in efficiency evaluation. European Journal of
[3063] Seiford LM, Zhu J. Notes on sensitivity and stability of the classifications of returns to scale in Data Envelopment Analysis: a
comment. Journal of Productivity Analysis 2005;23(3):315–6.
[3064] Seiford LM, Thrall RM. Recent developments in DEA: the mathematical programming appoach to frontier analysis. Journal of
[3065] Seiford LM, Cook TJ. A general framework for distance-based consensus in ordinal ranking models. European Journal of
94
[3066] Seki T, Yagi E, Yoshimoto K. Method of selecting the stratagems to achieve benchmarking plant efficiency level efficiently.
Transactions of the Japan Society of Mechanical Engineers, Part C 2002;68(1):323–30.
[3067] Sellers-Rubio R, Mas-Ruiz F. Economic efficiency in supermarkets: evidences in Spain. International Journal of Retail and
Distribution Management 2006;34(2):155–71.
[3068] Semple J. Constrained games for evaluating organizational performance. European Journal of Operational Research
1997;96(1):103–12.
[3069] Sena V. Total factor productivity and the spillover hypothesis: some new evidence. International Journal of Production Economics
2004;92(1):31–42.
[3070] Sena VA. The generalized Malmquist index and capacity utilization change: an application to the Italian manufacturing,
1989–1994. Applied Economics 2001;33(1):1–9.
[3071] Sengupta JK. Efficiency measurement in stochastic input-output systems. International Journal of Systems Science 1982;1:273–87.
[3072] Sengupta JK. Information and efficiency in economic decision. Dordrecht, The Netherlands: Kluwer Academic Publishers; 1985.
[3073] Sengupta JK. Multivariate risk aversion with applications in information and efficiency in economic decision. Dordrecht, The
Netherlands: Kluwer Academic Publishers; 1985.
[3074] Sengupta JK. Risk aversion in decision models in information and efficiency in economic decision. Dordrecht, The Netherlands:
Kluwer Academic Publishers; 1985.
[3075] Sengupta JK. Measuring managerial efficiency by Data Envelopment Analysis. Management Review 1986:3–18.
[3076] Sengupta JK. Data Envelopment Analysis for efficiency measurement in the stochastic case. Computer and Operations Research
1987;1:117–29.
[3077] Sengupta JK. Efficiency measurement in non-market systems through Data Envelopment Analysis. International Journal of
Systems Science 1987;18(12):2279–304.
[3078] Sengupta JK. Production frontier estimation to measure efficiency: a critical evaluation in light of Data Envelopment Analysis.
[3079] Sengupta JK. A robust approach to the measurement of Farrell efficiency. Applied Economics 1988;2:273–83.
[3080] Sengupta JK. Efficiency comparisons in input–output systems. International Journal of Systems Science 1988;1:1085–94.
[3081] Sengupta JK. On a criterion of infinite-horizon efficiency. Journal of Economic Theory 1988;4:409–13.
[3082] Sengupta JK. Recent nonparametric measures of productive efficiency. In: Sengupta JK, Kadekodi GK, editors. Econometrics of
planning and efficiency. Dordrecht, The Netherlands: Kluwer; 1988. p. 169–93.
[3083] Sengupta JK. Robust efficiency measures in a stochastic efficiency model. International Journal of Systems Science 1988;1:779–91.
[3084] Sengupta JK. The active approach of stochastic optimisation with new applications. In: Sengupta JK, Kkadekodi G, editors.
Econometrics of planning and efficiency. Dordrecht, The Netherlands: Kluwer Academic Publishers; 1988. p. 93–108.
[3085] Sengupta JK. The measurement of productive efficiency: a robust minimax approach. Managerial and Decision Economics
1988;9(2):153–61.
[3086] Sengupta JK. A contribution to the theory of Farrell efficiency. In: Essays in honor of Professor Bhabatosh Datta, Calcutta, 1989.
[3087] Sengupta JK. Data envelopment with maximum correlation. International Journal of Systems Science 1989;20(11):2085–93.
[3088] Sengupta JK. Farrell efficiency: some generalisations and Econometric implications. In: Essays in honor of Professor Karl Afox,
North-Holland, 1989.
[3089] Sengupta JK. Measuring economic efficiency with stochastic input–output data. International Journal of Systems Science
1989;2:203–13.
[3090] Sengupta JK. Nonlinear measures of technical efficiency. Computer and Operations Research 1989;16(1):55–65.
[3091] Sengupta JK. Nonparametric tests of efficiency of portfolio investment. Journal of Economics-Zeitschrift Fur Nationalokonomie
1989;5:1–15.
[3092] Sengupta JK. Efficiency analysis by production frontiers: the nonparametric approach. Dordrecht, The Netherlands: Kluwer
Academic Publishers; 1989.
[3093] Sengupta JK. Measuring portfolio efficiency: a critique. International Journal of Systems Science 1990;21(3):511–25.
[3094] Sengupta JK. Structural efficiency in stochastic models of Data Envelopment Analysis. International Journal of Systems Science
1990;21(6):1047–56.
[3095] Sengupta JK. Tests of efficiency in Data Envelopment Analysis. Computer and Operations Research 1990;1:123–32.
[3096] Sengupta JK. Transformations in stochastic DEA models. Journal of Econometrics 1990;46(1/2):109–23.
[3097] Sengupta JK. Rapid growth in N.I.C.S in Asia—tests of new growth theory for Korea. KYKLOS: International Review for Social
Sciences 1991;4(44):561–79.
[3098] Sengupta JK. Robust decisions in economic models. Computer and Operations Research 1991;18(2):221–32.
[3099] Sengupta JK. Robust solutions in stochastic linear programming. Journal of the Operational Research Society 1991;42(10):857–70.
[3100] Sengupta JK. The influence curve approach in Data Envelopment Analysis. Mathematical Programming, Series B 1991;5:147–66.
[3101] Sengupta JK. A fuzzy systems approach in Data Envelopment Analysis. Computers and Mathematics with Applications
1992;24(8–9):259–66.
[3102] Sengupta JK. Measuring efficiency by a fuzzy statistical approach. Fuzzy Sets and Systems 1992;46(1):73–80.
[3103] Sengupta JK. Nonparametric approach to dynamic efficiency-a nonparametric application of cointegration to production frontiers.
[3104] Sengupta JK. On the price and structural efficiency in Farrell’s model. Bulletin of Economic Research 1992;44:281–300.
[3105] Sengupta JK. The maximum entropy approach in production frontier estimation. Mathematical Social Sciences 1992;25(1):41–57.
[3106] Sengupta JK. Using information-theory in risk analysis. Journal of Scientific and Industrial Research 1992;5:581–8.
95
[3107] Sengupta JK. Measuring efficiency of dynamic input–output systems. International Journal of Systems Science
1993;24(11):2159–73.
[3108] Sengupta JK. Nonparametric approach to stochastic linear programming. International Journal of Systems Science
1993;24(5):857–71.
[3109] Sengupta JK. Econometrics of information and efficiency (theory and decision). Dordrecht, The Netherlands: Kluwer Academic
Publishers; 1993.
[3110] Sengupta JK. Evaluating dynamic efficiency by optimal control. International Journal of Systems Science 1994;2:1337–53.
[3111] Sengupta JK. Information theory approach in efficiency measurement. Applied Stochastic Models and Data Analysis
1994;10(2):91–102.
[3112] Sengupta JK. Measuring dynamic efficiency under risk aversion. European Journal of Operational Research 1994;74(1):61–9.
[3113] Sengupta JK. A dynamic view of Farrell efficiency. International Journal of Systems Science 1995;2:1501–9.
[3114] Sengupta JK. Dynamic Farrell efficiency—a time series application. Applied Economics Letters 1995;2:363–6.
[3115] Sengupta JK. Estimating efficiency by cost frontiers—a comparison of parametric and nonparametric methods. Applied
Economics Letters 1995;284(2):86–90.
[3116] Sengupta JK. Information and efficiency. Journal of Economics-Zeitschrift Fur Nationalokonomie 1995;6:336–7.
[3117] Sengupta JK. Dynamics of Data Envelopment Analysis: theory of system efficiency. Dordrecht, London: Kluwer Academic
Publishers; 1995.
[3118] Sengupta JK. Data Envelopment Analysis: a new tool for improving managerial efficiency. International Journal of Systems
Science 1996;27(12):1205–10.
[3119] Sengupta JK. Dynamic Data Envelopment Analysis. International Journal of Systems Science 1996;27(3):277–84.
[3120] Sengupta JK. Economic theory and DEA models: a critical review. International Journal of Systems Science 1996;27(1):77–85.
[3121] Sengupta JK. Efficiency distribution approach in Data Envelopment Analysis: an application. Journal of the Operational Research
Society 1996;47(11):1387–97.
[3122] Sengupta JK. Entropy, efficiency and the productivity index numbers. International Journal of Systems Science
1996;27(12):1195–204.
[3123] Sengupta JK. Recent models in Data Envelopment Analysis: theory and applications. Applied Stochastic Models and Data
Analysis 1996;12(1):1–26.
[3124] Sengupta JK. Systematic measures of dynamic Farrell efficiency. Applied Economics Letters 1996;3(2):91–4.
[3125] Sengupta JK. Technical change and efficiency in Data Envelopment Analysis. Cybernetics and Systems 1996;27(1):77–92.
[3126] Sengupta JK. Theory of systems efficiency: models and applications—a review. International Journal of Systems Science
1996;27(3):285–98.
[3127] Sengupta JK. Contributions to Data Envelopment Analysis. Cybernetics and Systems 1997;28(1):79–97.
[3128] Sengupta JK. Stochastic efficiency measurement: a new approach. Applied Economics Letters 1997;4(2):125–8.
[3129] Sengupta JK. Efficiency distribution and the cost frontier. Applied Stochastic Models and Data Analysis 1998;14(1):67–76.
[3130] Sengupta JK. New efficiency theory: extensions and new applications of Data Envelopment Analysis. International Journal of
Systems Science 1998;29(3):255–65.
[3131] Sengupta JK. Stochastic Data Envelopment Analysis: a new approach. Applied Economics Letters 1998;5(5):287.
[3132] Sengupta JK. Testing allocative efficiency by Data Envelopment Analysis. Applied Economics Letters 1998;5(11):689.
[3133] Sengupta JK. A dynamic efficiency model using Data Envelopment Analysis. International Journal of Production Economics
1999;62(3):209–18.
[3134] Sengupta JK. Efficiency measurements with R&D inputs and learning by doing. Applied Economics Letters 1999;6(10):629–32.
[3135] Sengupta JK. Farrell-type efficiency under demand and price fluctuations. Applied Economics Letters 1999;6(8):505–7.
[3136] Sengupta JK. Comparing dynamic efficiency using a two-stage model. Applied Economics Letters 2000;7(8):521–3.
[3137] Sengupta JK. Efficiency analysis by stochastic Data Envelopment Analysis. Applied Economics Letters 2000;7(6):379–83.
[3138] Sengupta JK. Quality and efficiency. Economic Modelling 2000;17(2):195–207.
[3139] Sengupta JK. Dynamic and stochastic efficiency analysis: economics of Data Envelopment Analysis. Singapore: World Scientific
Publishing Company; 2000.
[3140] Sengupta JK. Cost efficiency and demand fluctuation under Data Envelopment Analysis. Operations Research
2002;39(3–4):161–76.
[3141] Sengupta JK. Economics of efficiency measurement by the DEA approach. Applied Economics 2002;34(9):1133–9.
[3142] Sengupta JK. Model of hypercompetition. International Journal of Systems Science 2002;33(8):669–75.
[3143] Sengupta JK. New efficiency theory: with applications of Data Envelopment Analysis. Berlin: Springer; 2003.
[3144] Sengupta JK. Estimating technical change by nonparametric methods. Applied Economics 2004;36(5):413–20.
[3145] Sengupta JK. The survivor technique and the cost frontier: a nonparametric approach. International Journal of Production
Economics 2004;87(2):185–93.
[3146] Sengupta JK. Data Envelopment Analysis with heterogeneous data: an application. Journal of the Operational Research Society
2005;56(6):676–86.
[3147] Sengupta JK. Nonparametric efficiency analysis under uncertainty using Data Envelopment Analysis. International Journal of
[3148] Sengupta JK, Saloo BK. Efficiency models in data development analysis: techniques of evaluation of productivity of firms in a
growing economy. New York: Palgrave MacMillan; 2006.
[3149] Sengupta JK, Kadekodi GK. Econometrics of planning and efficiency. Dordrecht, The Netherlands: Kluwer; 1988.
96
[3150] Sengupta JK, Park HS. Portfolio efficiency tests based on stochastic dominance and cointegration. International Journal of
Systems Science 1993;2:2135–58.
[3151] Sengupta JK, Khalili M. Efficiency in water allocation under stochastic demand. Applied Economics 1986;1:37–48.
[3152] Sengupta JK, Sfeir RE. Tests of efficiency of limited diversification portfolios. Applied Economics 1985;1:933–45.
[3153] Sengupta JK, Sfeir RE. Production frontier estimates of scale in public schools in California. Economics of Education Review
1986;5(3):297–307.
[3154] Sengupta JK, Sfeir RE. Efficiency measurement by Data Envelopment Analysis with econometric applications. Applied Economics
1988;2:285–93.
[3155] Sengupta JK, Sfeir RE, Phillips L. Efficiency in public schools: a case study in non-parametric measurement. International Journal
[3156] Seol H, Choi J, Park G, Park Y. A framework for benchmarking service process using Data Envelopment Analysis and decision
tree. Expert Systems with Applications 2007;32(2):432–40.
[3157] Serrano-Cinca C, MarMoliero C, Chaparro F. Spanish savings banks: a view on intangibles. Knowledge Management Research
and Practice 2004;2(2):103–17.
[3158] Serrano-Cinca C, Fuertes-Callen Y, Mar-Molinero C. Measuring DEA efficiency in Internet companies. Decision Support Systems
2005;38(4):557–73.
[3159] Seth N, Deshmukh SG, Vrat P. A framework for measurement of quality of service in supply chains. Supply Chain Management
2006;11(1):82–94.
[3160] Sevcovic D, Halicka M, Brunovsky P. DEA analysis for a large structured bank branch network. Central European Journal of
Operations Research 2001;9(4):329.
[3161] Sexton TR. The methodology of Data Envelopment Analysis. In: Silkman RH, editor. Measuring efficiency: an assessment of Data
Envelopment Analysis. San Francisco, CA: Jossey-Bass; 1986. p. 7–29.
[3162] Sexton TR. The methodology of DEA. In: Silkman RH, editor. Measuring efficiency: an assessment of Data Envelopment
Analysis. San Francisco, CA: American Evaluation Association, Jossey Bass, Inc.; 1986.
[3163] Sexton TR, Lewis HF. Two-stage DEA: an application to major league baseball. Journal of Productivity Analysis
2003;19(2–3):227–49.
[3164] Sexton TR, Leiken AM, Nolan AH, Liss S, Hogan A, Silkman RH. Evaluating managerial efficiency of veterans administration
medical centers using Data Envelopment Analysis. Medical Care 1989;2:1175–88.
[3165] Sexton TR, Leiken AM, Sleeper S, Cobum A. The impact of prospective reimbursement on nursing home efficiency. Medical Care
1989;2:154–63.
[3166] Sexton TR, Silkman RH, Hogan AJ. Data Envelopment Analysis: critique and extensions. In: Silkman RH, editor. Measuring
efficiency: an assessment of Data Envelopment Analysis. San Francisco, CA: Jossey-Bass; 1986. p. 73–105.
[3167] Sexton TR, Sleeper S, Taggart Jr RE. Improving pupil transportation in North Carolina. Interfaces 1994;24(1):87–103.
[3168] Seydel J. Evaluating and improving teaching via Data Envelopment Analysis. In: Proceedings of the annual meeting of the
Decision Sciences Institute, vol. 2. Atlanta, GA, USA: Decision Sciences Institute; 1997. p. 891–3.
[3169] Seydel J. Data Envelopment Analysis for decision support. Industrial Management and Data Systems 2006;106(1):81–95.
[3170] Shafer SM, Bradford JW. Efficiency measurement of alternative machine component grouping solutions via Data Envelopment
Analysis. IEEE Transactions on Engineering Management 1995;42(2):159–65.
[3171] Shafer SM, Byrd TA. A framework for measuring the efficiency of organizational investments in information technology using
Data Envelopment Analysis. Omega 2000;28(2):125–41.
[3172] Shafiq M, Rehman T. The extent of resource use inefficiencies in cotton production in Pakistan’s Punjab: an application of Data
Envelopment Analysis. Agricultural Economics 2000;22(3):321–30.
[3173] Shahmohammadi F, Charmi M. Using DEA to measure performance of sceince parks: case of Iran. In: Emrouznejad A,
[3174] Shakun MF, Sudit EF. Effectiveness, productivity and design of purposeful systems: the profit-making case international. Journal
of General Systems 1983:205–15.
[3175] Shan L. Analyzing efficiency and managerial performance: using sensitivity scores of DEA model. New York, USA: Garland Pub;
1996.
[3176] Shang J, Sueyoshi T. A unified framework for the selection of a flexible manufacturing system. European Journal of Operational
Research 1995;85(2):297–315.
[3177] Shanmugam R, Johnson C. At a crossroad of data envelopment and principal component analyses. Omega 2007;35(4):351–64.
[3178] Shao BBM, Shu WS. Productivity breakdown of the information technology across countries. In: Proceedings of 36th Hawaii
international conference on systems sciences. New York: IEEE; 2003. p. 9.
[3179] Shao BBM, Shu WS. Productivity breakdown of the information and computing technology industries across countries. Journal of
[3180] Shao BBM, Lin WT. Technical efficiency analysis of information technology investments: a two-stage empirical investigation.
Information and Management 2002;39(5):391–401.
[3181] Shao YE, Lin Y-F, Yuan S-T. Integrated application of time series multiple interventions analysis and knowledge-based reasoning.
Journal of Applied Statistics 1999;26(6):755–66.
[3182] Sharma KR, Leung P, Zaleski HM. Productive efficiency of the swine industry in Hawaii: stochastic frontier vs. Data Envelopment
Analysis. Journal of Productivity Analysis 1997;8(4):447–59.
97
[3183] Sharma KR, Leung P, Chen HL, Peterson A. Economic efficiency and optimum stocking densities in fish polyculture: an
application of Data Envelopment Analysis (DEA) to Chinese fish farms. Aquaculture 1999;180(3–4):207–21.
[3184] Sharma KR, Leung PS, Zaleski HM. Technical, allocative and economic efficiencies in swine production in Hawaii: a comparison
of parametric and nonparametric approaches. Agricultural Economics 1999;20(1):23–35.
[3185] Sharp CA, Orford RJ. Negative political feedback: an examination of the problem of modelling political responses in public sector
effectiveness auditing: comments. Accounting Auditing and Accountability Journal 1992;5(1).
[3186] Sheldon GM. The efficiency of public employment services: a nonparametric matching function analysis for Switzerland. Journal of
[3187] Shen Z, Yongji W, Jie T, Jinhui Z, Li R. Evaluation of project quality: a DEA-based approach. In: Lecture notes in computer
science, vol. 3966. Berlin: Springer; 2006. p. 88–96.
[3188] Shephard RW, Henn R, Neumann K. Quantitative studies on production and prices. Würzburg, Germany: Physics-Verlag; 1983.
[3189] Sherman HD. Measurement of hospital technical efficiency: a comparative evaluation of Data Envelopment Analysis and other
efficiency measurement techniques for measuring and locating inefficiency. Health Care Organizations; 1981.
[3190] Sherman HD. Data Envelopment Analysis as a new managerial audit methodology-test and evaluation. Auditing 1984;4(1):35.
[3191] Sherman HD. Hospital efficiency measurement and evaluation. Empirical test of a new technique. Medical Care
1984;22(10):922–38.
[3192] Sherman HD. Improving the productivity of service businesses. Sloan Management Review 1984;2:11–23.
[3193] Sherman HD. Managing productivity of health care organizations. In: Silkman RH, editor. Measuring efficiency: an assessment of
Data Envelopment Analysis. American Evaluation Association, Jossey Bass, Inc.; 1986.
[3194] Sherman HD, Gold F. Bank branch operating efficiency. Journal of Banking and Finance 1985;9(2):297–315.
[3195] Sherman HD, Ladino G. Managing bank productivity using Data Envelopment Analysis (DEA). Interfaces 1995;25(2):60–73.
[3196] Sherman HD, Rupert TJ. Do bank mergers have hidden or foregone value? Realized and unrealized operating synergies in one
bank merger. European Journal of Operational Research 2006;168(1):253–68.
[3197] Sherman HD, Joe Z. Benchmarking with quality-adjusted DEA (Q-DEA) to seek lower-cost high-quality service: evidence from a
US bank application. Annals of Operations Research 2006;145(1):301.
[3198] Shestalova V. Sequential Malmquist indices of productivity growth: an application to OECD industrial activities. Journal of
Productivity Analysis 2003;19(2–3):211–26.
[3199] Sheth N, Triantis K. Measuring and evaluating efficiency and effectiveness using goal programming and Data Envelopment
Analysis in a fuzzy environment. Yugoslav Journal of Operations Research 2003;13(1):35–60.
[3200] Sheu DD, Peng S-L. Assessing manufacturing management performance for notebook computer plants in Taiwan. International
[3201] Shi Z-X, Cui Y, Ren F-T, Shi J-J. Study on the evaluation of harmonious development between social economic growth and
highway building. Journal of Beijing University of Technology 2005;31(2):165–8.
[3202] Shim W, Kantor PB. A novel economic approach to the evaluation of academic research libraries. In: Proceedings of information
access in the global information economy, vol. 35. Information Today, 1998. p. 400–10.
[3203] Shin HW, Sohn SY. Multi-attribute scoring method for mobile telecommunication subscribers. Expert Systems with Applications
2004;26(3):363–8.
[3204] Shinn S. Assessing joint maintenance shops in the Taiwanese army using Data Envelopment Analysis. Journal of Operations
Management 2004;22(3):233–45.
[3205] Shinn S, Wen-Min L. Evaluating the performance of Taiwanese hotel industry using a weight slacks-based measure. Asia-Pacific
[3206] Shiu A. Efficiency of Chinese enterprises. Journal of Productivity Analysis 2002;18(3):255–67.
[3207] Shlomo M, Alexander V. Organizational restructuring: a robust DEA-based procedure. In: Proceedings of Portland international
conference on management of engineering and technology, vol. 1, Portland International, 1999. p. 296.
[3208] Shnits B, Sinreich D. Controlling flexible manufacturing systems based on a dynamic selection of the appropriate operational
criteria and scheduling policy. International Journal of Flexible Manufacturing Systems 2006;18(1):1–27.
[3209] Shouhong W. Adaptive non-parametric efficiency frontier analysis: a neural network-based model. Computer and Operations
Research 2003;30(2):279–95.
[3210] Shroff HFE, Haynes KE, O’Neill MK. Siting efficiency of long-term health care facilities. Socio-Economic Planning Sciences
1998;32(1):25–43.
[3211] Shroff HFE, Haynes KE, Stough RR. New methodology in context: Data Envelopment Analysis. Computers, Environment and
Urban Systems 1990;14(2):85–8.
[3212] Shu-Hua H, Shu-Hui S. An evaluation of investment performance and financial standing for life insurers in Taiwan. Journal of
American Academy of Business, Cambridge 2006;10(1):278.
[3213] Shutler M, Storbeck J. Part special issue editorial: performance management. Journal of the Operational Research Society
2002;53(3):245–6.
[3214] Shyu J. Deregulation and bank operating efficiency: an empirical study of Taiwan’s banks. Journal of Emerging Markets
1998;3:27–46.
[3215] Siciliani L. Estimating technical efficiency in the hospital sector with panel data: a comparison of parametric and non-parametric
techniques. Applied Health Economics and Health Policy 2006;5(2):99–116.
[3216] Sickles RC. Panel estimators and the identification of firm-specific efficiency levels in parametric, semiparametric and
nonparametric settings. Journal of Econometrics 2005;126(2):305–34.
98
[3217] Sickles RC, Streitwieser ML. Technical inefficiency and productive decline in the US interstate natural gas pipeline industry under
the natural gas policy act. In: Gulledge TR, Lovell CAK, editors. International applications of productivity and efficiency analysis.
Dordrecht, The Netherlands: Kluwer Academic Publishers; 1992.
[3218] Sickles RC, Good DH, Getachew L. Specification of distance functions using semi- and nonparametric methods with an
application to the dynamic performance of eastern and western European air carriers. Journal of Productivity Analysis
2002;17(1–2):133–55.
[3219] Sieber L. Measurement of eco-efficiency using Data Envelopment Analysis. Elektrotechnik und Informationstechnik
2001;118(4):185–91.
[3220] Siefert LM, Zhu J. Identifying excesses and deficits in Chinese industrial. Omega 1998;26(2):279.
[3221] Siems TF. Quantifying management’s role in bank survival federal reserve bank of Dallas. Economic Review 1992:29–41.
[3222] Sigala M. The information and communication technologies productivity impact on the UK hotel sector. International Journal of
[3223] Sigala M. Using Data Envelopment Analysis for measuring and benchmarking productivity in the hotel sector. Journal of Travel
and Tourism Marketing 2004;16(2/3):39–60.
[3224] Sigala M, Mylonakis J. Developing a Data Envelopment Analysis model for measuring and isolating the impact of contextual
factors on hotel productivity. International Journal of Business and Performance Management 2005;7(2):1.
[3225] Sigala M, Airey D, Jones P, Lockwood A. ICT paradox lost? A stepwise DEA methodology to evaluate technology investments in
tourism settings. Journal of Travel Research 2004;43(2):180–92.
[3226] Sigala M, Jones P, Lockwood A, Airey D. Productivity in hotels: a stepwise Data Envelopment Analysis of hotels’ rooms division
processes. Service Industries Journal 2005;25(1):61–81.
[3227] Sigler L. The relative of the public institutions on economics research in Mexico City. In: Emrouznejad A, Podinovski V, editors.
[3228] Silkman R, Young D. X-efficiency and state formula grants. National Tax Journal 1982;35.
[3229] Silkman RH. Editor’s notes: new directions for program evaluation. In: Silkman RH, editor. Measuring efficiency: an assessment
of Data Envelopment Analysis. American Evaluation Association, Jossey Bass, Inc.; 1986.
[3230] Silkman RH. Measuring efficiency: an assessment of Data Envelopment Analysis. San Francisco, USA: Jossey-Bass; 1986.
[3231] Silva EG, Costa JD. Are voters rationally ignorant? An empirical study of Portuguese local elections. Portuguese Economics
Journal 2006;5(1):31–44.
[3232] Simar L. Estimating efficiencies from frontier models with panel data: a comparison of parametric, non-parametric and semiparametric methods with bootstrapping. Journal of Productivity Analysis 1992;3:171–203.
[3233] Simar L. Aspects of statistical analysis in DEA-type frontier models. Journal of Productivity Analysis 1996;7:177–86.
[3234] Simar L. Detecting outliers in frontier models: a simple approach. Journal of Productivity Analysis 2003;20(3):391–424.
[3235] Simar L, Wilson PW. Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models. Management
Science 1998;44(1):49–61.
[3236] Simar L, Wilson PW. Estimating and bootstrapping Malmquist indices. European Journal of Operational Research
1999;115(3):459–71.
[3237] Simar L, Wilson PW. Statistical inference in nonparametric frontier models: the state of the art. Journal of Productivity Analysis
2000;13(1):49–78.
[3238] Simar L, Wilson PW. Non-parametric tests of returns to scale. European Journal of Operational Research 2002;139(1):115–32.
[3239] Simar L, Wilson PW. Estimation and inference in two-stage, semi-parametric models of production processes. Journal of
Econometrics 2007;136(1):31–64.
[3240] Simar L, Zelenyuk V. On testing equality of distributions of technical efficiency scores. Econometric Reviews 2006;25(4):497–522.
[3241] Simar Lo, Wilson P. Testing restrictions in nonparametric efficiency models. Communications in Statistics: Simulation and
Computation 2001;30(1):159.
[3242] Simar Lo, Wilson PW. A general methodology for bootstrapping in non-parametric frontier models. Journal of Applied Statistics
2000;27(6):779–802.
[3243] Simons R. How DEA can be a spur to improved performance. Operations Research Newsletter 1996:11–3.
[3244] Simper R, Drake LM. The economic evaluation of policing activity: an application of a hybrid methodology. European Journal of
Law and Economics 2001;12(3):173–92.
[3245] Simpson G. Programmatic efficiency comparisons between unequally sized groups of DMUs in DEA. Journal of the Operational
[3246] Simpson GPM. Dealing with outliers when setting targets by DEA. OR Insight 1999;12(3):29–31.
[3247] Sinauany-Stern Z, Friedman L. DEA and the discriminant analysis of ratios for ranking units. European Journal of Operational
Research 1998;111(3):470–8.
[3248] Singamsetti RN, Swamy PAVB, Taubman SB. A general method of deriving the inefficiencies of banks from a profit function.
[3249] Singer M, Donoso P, Poblete F. Semi-autonomous planning using linear programming in the Chilean general treasury. European
[3250] Singfat C, Keh HT, Jiye X. Efficiency, effectiveness and productivity of marketing in services. European Journal of Operational
Research 2006;170(1):265–76.
[3251] Singfat CCL. Bidding efficiencies for rights to car ownership in Singapore. Omega 1998;26(2):297–306.
99
[3252] Sinha KK. Moving frontier analysis: an application of Data Envelopment Analysis for competitive analysis of a high-technology
manufacturing plant. Annals of Operations Research 1996;66:197–218.
[3253] Sinuany-Stern Z, Mehrez A, Barboy A. Academic departments efficiency via DEA. Computer and Operations Research
1994;21(5):543–56.
[3254] Sinuany-Stern Z, Mehrez A, Hadad Y. An AHP/DEA methodology for ranking decision making units. International Transactions
in Operational Research 2000;7:109–24.
[3255] Siregar DD, Norsworthy JR. Pre and post deregulation financial performance and efficiency in US airlines. In: IEEE international
engineering management conference. Institute of Electrical and Electronics Engineers Inc.; 2001. p. 421–9.
[3256] Sirvent I, Ruiz JL, Borras F, Pastor JT. A Monte Carlo evaluation of several tests for the selection of variables in DEA models.
[3257] Smirlis YG, Despotis DK, Jablonsky J, Fiala P. Identifying best-buys in the market of prepaid mobile telephony: an application of
imprecise DEA. International Journal of Information Technology and Decision 2004;3(1):167–77.
[3258] Smirlis YG, Maragos EK, Despotis DK. Data Envelopment Analysis with missing values: an interval DEA approach. Applied
[3259] Smith CE, Kleinbeck SVM, Fernengel K, Mayer LS. Efficiency of families managing home health care. Annals of Operations
Research 1997;73:157–75.
[3260] Smith P. Data Envelopment Analysis applied to financial statements. Omega 1990;18(2):131–8.
[3261] Smith P. Public sector efficiency measurements: applications of Data Envelopment Analysis. Journal of the Operational Research
Society 1994;45(1):117–8.
[3262] Smith P. Model misspecification in Data Envelopment Analysis. Annals of Operations Research 1997;73:233–52.
[3263] Smith P, Mayston D. Measuring efficiency in the public sector. Omega 1987;15(3):181–9.
[3264] Smith P, Sharp CA, Oxford RJ. Negative political feedback: an examination of the problem of modelling political responses in
public sector effectiveness auditing. Accounting Auditing and Accountability Journal 1992;5.
[3265] Smith PC. Book selection: Data Envelopment Analysis-theory, methodology and applications. Journal of the Operational
Research Society 1997;48:332–3.
[3266] Smith PC. Book selection: intertemporal production frontiers with dynamic DEA. Journal of the Operational Research Society
1997;48(6):656.
[3267] Smith PC. Data Envelopment Analysis theory, methodology and applications—Charnes A, Cooper WW, Lewin AY, Seiford
LM—book review. Journal of the Operational Research Society 1997;48(3):332–3.
[3268] Smith PC, Street A. Measuring the efficiency of public services: the limits of analysis. Journal of Royal Statistical Society: Series A
(Statistics in Society) 2005;168(2):401–17.
[3269] Soares de Mello JCCB, Angulo Meza L, Gomes EG, Biondi Neto L, Coelho PHG. A modified cross evaluation DEA model for
DMU ranking: an Olympic case study. Relatorios de Pesquisa em Engneharia de Producao 2004;4(20).
[3270] Soares de Mello JCCB, Lins MPE, Gomes EG. Contruction of a smoothed DEA frontier. Pesquisa Operacional
2002;22(2):183–201.
[3271] Soares de Mello JCCB, Lins MPE, Soares de Mello MHC, Gomes EG. Evaluating the performance of calculus classes using
operational research tools. European Journal of Engineering Education 2002;27(2):209–18.
[3272] Sofianopoulou S. Manufacturing cells efficiency evaluation using Data Envelopment Analysis. Journal of Manufacturing
Technology Management 2006;17(2):224–38.
[3273] Sohn SY. Random effects logistic regression model for ranking efficiency in Data Envelopment Analysis. Journal of the
[3274] Sohn SY, Choi H. Random effects logistic regression model for Data Envelopment Analysis with correlated decision making units.
[3275] Sohn SY, Moon TH. Decision tree based on Data Envelopment Analysis for effective technology commercialization. Expert
Systems with Applications 2004;26(2):279–84.
[3276] Sojka J. Dynamic aspects of Data Envelopment Analysis. Management Science 1989;2:198–207.
[3277] Sojka J. Dynamic option of the DEA analysis for the evaluation of predictions. Ekonomicky Casopis 2001;49(5):960–9.
[3278] Sojka J, Stancikova D. DEA analysis applied to the efficiency stability of big chemical firms. Ekonomicky Casopis 1992;4:295–308.
[3279] Solankar PG, Singh SP. Productivity assessment of Indian textile mill industry through DEA. In: Emrouznejad A, Green R,
2002.
[3280] Soleimani-damaneh M, Reshadi M. A polynomial-time algorithm to estimate returns to scale in FDH models. Computer and
[3281] Soleimani-damaneh M, Jahanshahloo GR, Reshadi M. The estimation of returns-to-scale in FDH models. European Journal of
[3282] Soleimani-damaneh M, Jahanshahloo GR, Soleimani-damaneh M. A note on simulating weights restriction in DEA: an
improvement of Thanassoulis and Allens method. Computer and Operations Research 2005;32(4):1037–44.
[3283] Soleimani-Damaneh M, Jahanshahloo GR, Abbasbandy S. Computational and theoretical pitfalls in some current performance
measurement techniques; and a new approach. Applied Mathematics and Computation 2006;181(2):1199–207.
[3284] Soloveitchik D, Ben-Aderet N, Grinman M, Lotov A. Multiobjective optimization and marginal pollution abatement cost in the
electricity sector—an Israeli case study. European Journal of Operational Research 2002;140(3):571–83.
100
[3285] Sommersguter-Reichmann M. The impact of the Austrian hospital financing reform on hospital productivity: empirical evidence
on efficiency and technology changes using a non-parametric input-based Malmquist approach. Health Care Management Science
2000;3(4):309–21.
[3286] Sommersguter-Reichmann M. Analysing hospital productivity changes using non-parametric approaches. OR Spectrum
2003;25(2):145–60.
[3287] Somwaru A, Nehring R. A graph efficiency multiproduct model of corn/livestock farming: accounting for nitrate pollution. Annals
[3288] Sopandi A, Rule LC. Comparative analysis of four pine plantation management situations in west java. Journal of Tropical Forest
Science 2000;12(4):656–68.
[3289] Soteriou A, Zenios SA. Operations, quality, and profitability in the provision of banking services. Management Science
1999;45(9):1221–38.
[3290] Soteriou AC, Hadjicostas P. One-sided elasticities and technical efficiency in multi-output production: a theoretical framework.
[3291] Soteriou AC, Zenios SA. Using Data Envelopment Analysis for costing bank products. European Journal of Operational Research
1999;114(2):234–48.
[3292] Soteriou AC, Stavrinides Y. Providing service quality bank branch benchmarks: A DEA approach based on internal customer
perceptions. In: Proceedings of the annual meeting of the Decision Sciences Institute, vol. 3. Atlanta, GA, USA: Decision Sciences
Institute; 1996. p. 1671–3.
[3293] Soteriou AC, Stavrinides Y. An internal customer service quality Data Envelopment Analysis model for bank branches.
International Journal of Operations and Production Management 1997;17(7–8):780–9.
[3294] Soulodre GA, Bradley JS. Subjective evaluation of new room acoustic measures. Journal of Acoustical Society of America
1995;98(1):294–301.
[3295] Sousa MRD, Silveira JMDA, Filho HMS, Buainain AM, MagalhÃEs MM. Stochastic Frontier production evaluation of market
assisted land reform in Ne Brazil. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p.
359.
[3296] Souza GD, Alves E, Avila AFD. Technical efficiency of production in agricultural research. Scientometrics 1999;46(1):141–60.
[3297] Sowlati T. Efficiency studies in forestry using Data Envelopment Analysis. Forest Products Journal 2005;55(1):49–57.
[3298] Sowlati T, Paradi JC. Establishing the ‘‘Practical Frontier’’ in Data Envelopment Analysis. Omega 2004;32(4):261–72.
[3299] Sowlati T, Vahid S. Malmquist productivity index of the manufacturing sector in Canada from 1994 to 2002, with a focus on the
wood manufacturing sector. Scandinavian Journal of Forest Research 2006;21(5):424–33.
[3300] Sowlati T, Paradi JC, Suld C. Information systems project prioritization using Data Envelopment Analysis. Mathematical and
Computer Modelling 2005;41(11–12):1279–98.
[3301] Spanjers W. Applications of modern production theory—efficiency and productivity—Dogramaci and fare-book review. European
Journal of Operational Research 1989;3:226.
[3302] Spottiswoode C. Counting the beat. Public Finance 2000:22.
[3303] Srdjevic B, Medeiros YDP, Porto RLL. Data Envelopment Analysis of reservoir system performance. Computer and Operations
Research 2005;32(12):3209–26.
[3304] Srinivas T, Baker RC. A multi-phase mathematical programming approach for effective supply chain design. European Journal of
[3305] Staat M. The effect of sample size on the mean efficiency in DEA: comment. Journal of Productivity Analysis 2001;15(2):129–37.
[3306] Staat M. Bootstrapped efficiency estimates for a model for groups and hierarchies in DEA. European Journal of Operational
Research 2002;138(1):1–8.
[3307] Staat M. Value based benchmarking and market partitioning. In: Schwaiger M, Opitz O, editors. Exploratory data analysis in
empirical research, Heidelberg, 2002.
[3308] Staat M. DEA-benchmarks for Austrian physicians. In: Schwaiger M, Opitz O, editors. Exploratory data analysis in empirical
research, Heidelberg, 2002.
[3309] Staat M. The efficiency of treatment of Austrian general practitioners: a Malmquist index approach. European Journal of Health
Economics 2003.
[3310] Staat M. The efficiency of treatment strategies of general practitioners. A Malmquist index approach. European Journal of Health
Economics 2003;4(3):232–8.
[3311] Staat M. Efficiency of diabetes mellitus treatment in internal medicine departments in Germany: a DEA-bootstrap approach. In:
[3312] Staat M. Bootstrap results for a measure of market efficiency. International Journal of Business and Performance Management
2006;8(4):328–43.
[3313] Staat M. Efficiency of hospitals in Germany: a DEA-bootstrap approach. Applied Economics 2006;38(19):2255–63.
[3314] Staat M, Hammerschmidt M. Product performance evaluation: a super-efficiency model. International Journal of Business and
Performance Management 2005;7(3):1.
[3315] Stanford R. A frontier analysis approach for benchmarking hospital performance in the treatment of acute myocardial infarction.
[3316] Stanton KR. Trends in relationship lending and factors affecting relationship lending efficiency. Journal of Banking and Finance
2002;26(1):127–52.
101
[3317] Stavarek D. Estimation of factors influencing efficiency of banks in new member states before joining the European union.
Ekonomicky Casopis 2005;53(6):593–610.
[3318] Stavarek D. Banking efficiency in the context of European integration. Eastern Economic Journal 2006;44(4):5–31.
[3319] Stefanou S. Measuring the impact of price-induced innovation on technological progress: application to the US food processing
and distribution sector. Journal of Productivity Analysis 1999;12(2):135–51.
[3320] Stefanou S, Lansink AO. Inter-firm and intra-firm efficiency measures. Journal of Productivity Analysis 2001;15(3):185–99.
[3321] Steinmann L, Zweifel P. The range adjusted measure (RAM) in DEA: comment. Journal of Productivity Analysis
2001;15(2):139–44.
[3322] Steinmann L, Zweifel P. On the (in)efficiency of Swiss hospitals. Applied Economics 2003;35(3):361.
[3323] Steinmann L, Dittrich G, Karmann A, Zweifel P. Measuring and comparing the (in)efficiency of German and Swiss hospitals.
European Journal of Health Economics 2004;5(3):216–26.
[3324] Stensrud E, Myrtveit I. Identifying high performance ERP projects. IEEE Transactions on Software Engineering
2003;29(5):398–416.
[3325] Stewart TJ. Data Envelopment Analysis and multiple criteria decision making: a response. Omega 1994;22(2):205–6.
[3326] Stewart TJ. Relationships between Data Envelopment Analysis and multicriteria decision analysis. Journal of the Operational
[3327] Stewart TJ. Relationships between Data Envelopment Analysis and multicriteria decision analysis. Journal of the Operational
Research Society 1996;4:654–65.
[3328] Stolp C. A framework for evaluating the efficiency of health centres, Nicaragua. In: Econroy M, editor. Nicaragua: profiles of the
revolutionary public sector. Boulder, CO: Westview Press; 1987.
[3329] Stolp C. Strengths and weaknesses of Data Envelopment Analysis: an urban and regional perspective. Computers, Environment
and Urban Systems 1990;14(2):103–16.
[3330] Stone M. Can public service efficiency measurement be a useful tool of government? The lesson of the Spottiswoode report. Public
Money and Management 2002;22(3):33–9.
[3331] Stone M. How not to measure the efficiency of public services (and how one might). Journal of Royal Statistical Society: Series A
(Statistics in Society) 2002;165:405–22.
[3332] Storto CL. Technological benchmarking of products using the Data Envelopment Analysis: an application to segments ‘A’ and ‘B’
of the Italian car market. In: Proceedings of innovation in technology management. New York: IEEE; 1997. p. 783–8.
[3333] Stough RR, Maggio ME. Metropolitan-area evaluation of its investments. In: Proceedings of GIS/LIS, American Society of
Photogrammetry and Remote Sensing, 1994. p. 726.
[3334] Sturm J-E, Williams B. Foreign bank entry, deregulation and bank efficiency: lessons from the Australian experience. Journal of
Banking and Finance 2004;28(7):1775–99.
[3335] Su M, Fang D-Y, Tang H-Q. Synthesis of separation sequence with DEA based on fuzzy comprehensive assessment. Gao Xiao
Hua Xue Gong Cheng Xue Bao/Journal of Chemical Engineering of Chinese Universities 2003;17(5):545–51.
[3336] Sudit EF. Effectiveness, productivity and design of purposeful systems: the profit-making case. International Journal of General
Systems 1983;9(4):205–15.
[3337] Sudit EF. Productivity measurement in industrial operations. European Journal of Operational Research 1995;85(3):435–53.
[3338] Sudit EF. Productivity measurement in industrial operations. European Journal of Operational Research 1995;85(3):435–53.
[3339] Sudzina F. Data Envelopment Analysis. Ekonomicky Casopis 2001;49(5):970–84.
[3340] Sudzina F, Kmec P. The technological paradox and evaluation of the benefits of informatization. Ekonomicky Casopis
2006;54(3):281–93.
[3341] Sueyoshi T. A study on efficiency analysis using DEA. Operations Research: Communications of Operations Research Society of
Japan 1990;35(3):167–73.
[3342] Sueyoshi T. Special algorithm for an additive model in Data Envelopment Analysis. Journal of the Operational Research Society
1990;41(3):249–57.
[3343] Sueyoshi T. Estimation of stochastic frontier cost function using Data Envelopment Analysis. An application to the A T&T
divestiture. Journal of the Operational Research Society 1991;42(6):463–77.
[3344] Sueyoshi T. Knowledge utilisation in productivity analysis: use of organisational intelligence in Data Envelopment Analysis.
Journal of Management Science and Policy Analysis 1991;8(3–4):319–30.
[3345] Sueyoshi T. Algorithmic strategy for assurance region analysis in DEA. Journal of Operations Research Society of Japan
1992;35(1):62–76.
[3346] Sueyoshi T. Measuring technical, allocative and overall efficiencies using a DEA algorithm. Journal of the Operational Research
Society 1992;43(2):141–55.
[3347] Sueyoshi T. Measuring the industrial performance of Chinese cities by Data Envelopment Analysis. Socio-Economic Planning
Sciences 1992;2:75–88.
[3348] Sueyoshi T. Scale efficiency of Nippon telegraph & telephone: an application of DEA. Operations Research: Communications of
Operations Research Society of Japan 1992;37(5):210–9.
[3349] Sueyoshi T. Stochastic frontier production analysis. In: Proceeding of international conference on economics/management and
information technology 92,1992. p. 59–62.
[3350] Sueyoshi T. Constrained regression median for measuring possible salary discrimination. European Journal of Operational
Research 1994;77(2):253–71.
102
[3351] Sueyoshi T. Stochastic frontier production analysis: measuring performance of public telecommunications in 24 OECD countries.
[3352] Sueyoshi T. Data Envelopment Analysis: formulations and economic interpretation. Mathematica Japonica 1995;42(1):187–200.
[3353] Sueyoshi T. Empirical regression quantile and leverage treatment method. Journal of Operations Research Society of Japan
1995;3:34–54.
[3354] Sueyoshi T. Production analysis in different time periods: an application of Data Envelopment Analysis. European Journal of
[3355] Sueyoshi T. Ramsey tariff structure of Ntt basic telephone service: marginal cost-based DEA application. Operations Research:
Communications of Operations Research Society of Japan 1995;40(12):701–5.
[3356] Sueyoshi T. Divestiture of Nippon telegraph and telephone. Management Science 1996;42(9):1326–51.
[3357] Sueyoshi T. Measuring efficiencies and returns to scale of Nippon telegraph & telephone in production and cost analyses.
[3358] Sueyoshi T. DEA pricing system. Journal of Operations Research Society of Japan 1997;40(2):220–35.
[3359] Sueyoshi T. Privatization of Nippon telegraph and telephone: Was it a good policy decision? European Journal of Operational
Research 1998;107(1):45–61.
[3360] Sueyoshi T. Tariff structure of Japanese electric power companies: an empirical analysis using DEA. European Journal of
[3361] Sueyoshi T. DEA duality on returns to scale (Rts) in production and cost analyses: an occurrence of multiple solutions and
differences between production-based and cost-based RTS estimates. Management Science 1999;45(11):1593–608.
[3362] Sueyoshi T. DEA non-parametric ranking test and index measurement: slack-adjusted DEA and an application to Japanese
agriculture cooperatives. Omega 1999;27(3):315–26.
[3363] Sueyoshi T. DEA-discriminant analysis in the view of goal programming. European Journal of Operational Research
1999;115(3):564–82.
[3364] Sueyoshi T. Stochastic DEA for restructure strategy: an application to a Japanese petroleum company. Omega 2000;28(4):385–98.
[3365] Sueyoshi T. Extended DEA-discriminant analysis. European Journal of Operational Research 2001;131(2):324–51.
[3366] Sueyoshi T. Mixed integer programming approach of extended DEA-discriminant analysis. European Journal of Operational
Research 2004;152(1):45–55.
[3367] Sueyoshi T. DEA-discriminant analysis: methodological comparison among eight discriminant analysis approaches. European
[3368] Sueyoshi T, Baker JS. The impact of US–Japan telecommunications trade on Japanese information infrastructure development.
Telematics and Informatics 1994;3:275–92.
[3369] Sueyoshi T, Shiuh-Nan H. A use of nonparametric tests for DEA-discriminant analysis: a methodological comparison. Asia-Pacific
[3370] Sueyoshi T, Shiuh-Nan H. Parallel network computing approach for DEA-Ram measurement. Asia-Pacific Journal of Operational
Research 2004;21(1):69–95.
[3371] Sueyoshi T, Sekitani K. Returns to scale in dynamic DEA. European Journal of Operational Research 2005;161(2):536–44.
[3372] Sueyoshi T, Sekitani K. Measurement of returns to scale using a non-radial DEA model: a range-adjusted measure approach.
[3373] Sueyoshi T, Goto M. Slack-adjusted DEA for time series analysis: performance measurement of Japanese electric power generation
industry in 1984–1993. European Journal of Operational Research 2001;133(2):232–59.
[3374] Sueyoshi T, Aoki S. A use of a nonparametric statistic for DEA frontier shift: the Kruskal and Wallis rank test. Omega
2001;29(1):1–18.
[3375] Sueyoshi T, Honma T. DEA network computing in multi-stage parallel processes. International Transactions in Operational
Research 2003;10(3):217–44.
[3376] Sueyoshi T, Kirihara Y. Efficiency measurement and strategic classification of Japanese banking institutions. International Journal
[3377] Sueyoshi T, Chang Y-L. Efficient algorithm for additive and multiplicative models in Data Envelopment Analysis. Operations
Research Letters 1989;8(4):205–13.
[3378] Sueyoshi T, Ito F, Hasebe T, Sakai J, Ozawa W. DEA-bilateral performance comparison: an application to Japan. Omega
1998;26(2):233.
[3379] Sueyoshi T, Machida H, Sugiyama M, Arai T, Yamada Y. Privatization of Japan national railways: DEA time series approaches.
Journal of Operations Research Society of Japan 1997;40(2):186–205.
[3380] Sueyoshi T, Ohnishi K, Kinase Y. A benchmark approach for baseball evaluation. European Journal of Operational Research
1999;115(3):429–48.
[3381] Sugiyama M, Yamada Y. Group DEA for building consensus by DMU efficiency evaluation. Journal of Operations Research
[3382] Sugiyama M, Sueyoshi T, Yamada Y. DEA/DR method for DMU classification. Operations Research: Communications of
[3383] Suhariyanto K, Thirtle C. Asian agricultural productivity and convergence. Journal of Agricultural Economics 2001;52(3):96–110.
[3384] Sulek JM, Lind MR. A systems approach to providing quality service. In: Proceedings of the Decision Sciences Institute, 1994
annual meeting, vol. 3. Decision Sciences Institute, 1994. p. 2070–2.
103
[3385] Sun HS, Hone P, Doucouliagos H. Economic openness and technical efficiency—a case study of Chinese manufacturing industries.
Economics of Transition 1999;7(3):615–36.
[3386] Sun J, Li H. A DEA model with DMUs constrained by net profit and its application in environment protection. In: Proceedings of
operations research and its applications. Third international symposium, World Publishing Corp, 1998. p. 347–55.
[3387] Sun J-C, Li H-Z. Inclusion relations between production possibility sets in DEA models. System Engineering Theory and Practice
2002;22(6):45.
[3388] Sun JC, Wei JH, Xu YF. Choice of DMUs by relation coefficients in application of DEA. System Engineering Theory and Practice
2001;21(3):31.
[3389] Sun S. Assessing computer numerical control machines using Data Envelopment Analysis. International Journal of Production
Research 2002;40(9):2011–39.
[3390] Sun S, Lu W-M. A cross-efficiency profiling for increasing discrimination in Data Envelopment Analysis. INFOR
2005;43(1):51–60.
[3391] Sun S, Lu WM. Evaluating the performance of the Taiwanese hotel industry using a weight slacks-based measure. Asia-Pacific
[3392] Sun W, Yang Q, Yang S. Parameter and non-parametric measurements of the output allocation efficiencies and their comparison.
System Engineering Theory and Practice 2000;20(6):118–22.
[3393] Sung CS, Jin HW. Dual-based approach for a hub network design problem under non-restrictive policy. European Journal of
[3394] Sung Ho H. Pursuing phased improvement in organizational performance: a hybrid system. WSEAS Transactions on Systems
2006;5(6):1461–7.
[3395] Sutton PP, Green RH. A data envelopment approach to decision analysis. Journal of the Operational Research Society
2002;53(11):1215–24.
[3396] Swann GMP. International differences in product design and their economic significance. Applied Economics 1987;19(2):201.
[3397] Swink M, Talluri S, Pandejpong T. Faster, better, cheaper: a study of NPD project efficiency and performance tradeoffs. Journal of
[3398] Swofford JL, Whitney GA. Bounding an economic monetary aggregate under nonhomothetic preferences. Journal of Business and
Economic Statistics 1990;8(1):137–41.
[3399] Sydow J, Windeler A. Organizing and evaluating interfirm networks: a structurationist perspective on network processes and
effectiveness. Organization Science 1998;9(3):265–84.
[3400] Syrjanen MJ. Non-discretionary and discretionary factors and scale in Data Envelopment Analysis. European Journal of
[3401] Tabolli S, Renzi C, Ianni A, Aparo UL, Giordano A. Risk of inappropriateness and efficiency assessment of hospitals. Igiene e
Sanita Pubblica 2003;59(5):305–18.
[3402] Tagarelli A, Trubitsyna I, Greco S. Combining linear programming and clustering techniques for the classification of research
centers. AI Communications 2004;17(3):111–22.
[3403] Taho Y, Chunwei K. A hierarchical AHP/DEA methodology for the facilities layout design problem. European Journal of
[3404] Takeda A, Nishino H. On measuring the inefficiency with the inner-product norm in Data Envelopment Analysis. European
[3405] Takeda E. An extended DEA model: appending an additional input to make all DMUs at least weakly efficient. European Journal
[3406] Takeda E, Satoh J. A Data Envelopment Analysis approach to multicriteria decision problems with incomplete information.
Computers and Mathematics with Applications 2000;39(9–10):81–90.
[3407] Talluri S. Use of cone-ratio DEA for manufacturing technology selection. In: Proceedings of the annual meeting of the Decision
Sciences Institute. Atlanta, GA, USA: Decision Sciences Institute 1996;3:1451–3.
[3408] Talluri S. A benchmarking method for business-process reengineering and improvement. International Journal of Flexible
Manufacturing Systems 2000;12(4):291–304.
[3409] Talluri S. Data Envelopment Analysis: models and extensions. Decision Line 2000;31(3):8–11.
[3410] Talluri S. Single price system model for optimal decisions in capital equipment purchasing. International Journal of Production
Research 2002;40(4):1003–16.
[3411] Talluri S, Sarkis J. Extensions in efficiency measurement of alternate machine component grouping solutions via Data
Envelopment Analysis. IEEE Transactions on Engineering Management 1997;44(3):299–304.
[3412] Talluri S, Sarkis J. A computational geometry approach for benchmarking. International Journal of Operations and Production
Management 2001;21(1–2):210–22.
[3413] Talluri S, Sarkis J. A methodology for monitoring system performance. International Journal of Production Research
2002;40(7):1567–82.
[3414] Talluri S, Sarkis J. A model for monitoring supplier performance. In: Proceedings of 33rd annual meeting of the Decision Sciences
Institute, Decision Sciences Institute, 2002. p. 6.
[3415] Talluri S, Sarkis J. A model for performance monitoring of suppliers. International Journal of Production Research
2002;40(16):4257–69.
[3416] Talluri S, Yoon KP. A cone-ratio DEA approach for AMT justification. International Journal of Production Economics
2000;66(2):119–29.
104
[3417] Talluri S, Narasimhan R. A methodology for strategic sourcing. European Journal of Operational Research 2004;154(1):236–50.
[3418] Talluri S, Narasimhan R. A note on ‘‘a methodology for supply base optimization’’. IEEE Transactions on Engineering
Management 2005;52(1):130–9.
[3419] Talluri S, Baker RC. A quantitative framework for designing efficient business process alliances. In: Proceedings of IEMC
(International conference on engineering and technology management). ew York: IEEE; 1996. p. 656–61.
[3420] Talluri S, Baker RC. A closer look at the use of DEA for technology selection. Computers and Industrial Engineering 1997;32(1).
[3421] Talluri S, Huq F, Pinney WE. Application of Data Envelopment Analysis for cell performance evaluation and process
improvement in cellular manufacturing. International Journal of Production Research 1997;35(8):2157–70.
[3422] Talluri S, Whiteside MM, Seipel SJ. A nonparametric stochastic procedure for FMS evaluation. European Journal of Operational
Research 2000;124(3):529–38.
[3423] Talluri S, Narasimhan R, Nair A. Vendor performance with supply risk: a chance-constrained DEA approach. International
[3424] Talluri S, Baker RC, Sarkis J. A framework for designing efficient value chain networks. International Journal of Production
Economics 1999;62(1–2):133–44.
[3425] Talluri S, Vickery SK, Droge CL. Transmuting performance on manufacturing dimensions into business performance: an
exploratory analysis of efficiency using DEA. International Journal of Production Research 2003;41(10):2107–23.
[3426] Tambour M. The impact of health care policy initiatives on productivity. Health Economics 1997;6(1):57–70.
[3427] Tan GKR. Efficiency estimates for Singapore manufacturing: new evidence from the Malmquist index. Applied Economics Letters
2006;13(11):715.
[3428] Tan Z-g. DEA-based investing effectiveness analysis of automotive industry enterprise. Industrial Engineering and Management
2004;9(6):107–12.
[3429] Tanaka H, Lee H, Guo P. Possibility data analysis with rough sets concept. In: Proceedings of IEEE international conference on
fuzzy systems proceedings, IEEE world congress on computational intelligence, vol. 1. New York: IEEE, 1998. p. 117–22.
[3430] Tang J-Y, Zhou D-Q. Evaluation for economic development efficiency of mining cities using Data Envelopment Analysis model.
Journal of China Coal Society 2003;28(4):342.
[3431] Tankersley WB. The impact of external control arrangements on organizational performance. Administration in Social Work
2000;32(3):282–304.
[3432] Tannenwald R. Differences across first district banks in operational efficiency. New England Economic Review 1995.
[3433] Tanure JEPS, Tahan CMV, Lima JWM. Establishing quality performance of distribution companies based on Yardstick
regulation. IEEE Transactions on Power Systems 2006;21(3):1148–53.
[3434] Tapia CG. Centralized data envelopment for efficiency analysis. Asia-Pacific Journal of Operational Research 1994;11(2):187–206.
[3435] Tarim A, Karan MB. Data Envelopment Analysis in performance evaluation. International Journal of Government Auditing
2001;28(4):12.
[3436] Taskin F, Zaim O. Catching-up and innovation in high- and low-income countries. Economics Letters 1997;54(1):93–100.
[3437] Taskin F, Zaim O. The role of international trade on environmental efficiency: a DEA approach. Economic Modelling
2001;18(1):1–17.
[3438] Tauer L, Tauer LW. Input aggregation and computed technical efficiency. Applied Economics Letters 2001;8:295–7.
[3439] Tauer L, Stefanides Z. Success in maximizing profits and reasons for profit deviation on dairy farms. Applied Economics
1998;30:151–6.
[3440] Tauer LW. Do New York dairy farmers maximize profits or minimize costs. American Journal of Agricultural Economics
1995;7:421–9.
[3441] Tauer LW. Productivity of New York dairy farms measured by non-parametric indices. Journal of Agricultural Economics
1998;49:234–49.
[3442] Tauer LW, Hanchar JJ. Non parametric technical efficiency with N-firms and M-inputs-asimulation. American Journal of
Agricultural Economics 1993;7:1297.
[3443] Tauer LW, Lordkipanidze N. Efficiency and technology use with age. Agricultural and Resource Economics Review
2000;29:24–31.
[3444] Tavakoli M, Davies HTO, Malek M. Modelling production and cost efficiency within health care systems. Health Care
[3445] Taylor B, Harris G. Relative efficiency among South African universities: a Data Envelopment Analysis. Higher Education
2004;47(1):73–89.
[3446] Taylor DT, Thompson RG. The efficient utility: labour, capital, & profit. Public Utilities Fortnightly 1995;33(16):25–9.
[3447] Taylor DT, Thompson RG. DEA best practice assesses relative efficiency, profitability. Oil and Gas Journal 1995;9(46):60.
[3448] Taylor WM, Thompson RG, Thrall RM, Dharmapala PS. DEA/AR efficiency and profitability of Mexican banks—a total income
model. European Journal of Operational Research 1997;98(2):346–63.
[3449] Taymaz E, Saatci G. Technical change and efficiency in Turkish manufacturing industries. Journal of Productivity Analysis
1997;8(4):461–75.
[3450] Tchangani AP. A satisficing game theory approach for group evaluation of production units. Decision Support Systems
2006;42(2):778–88.
[3451] Ten Raa T, Mohnen P. Neoclassical growth accounting and frontier analysis: a synthesis. Journal of Productivity Analysis
2002;18(2):111–28.
105
[3452] Thakur T. Benchmarking study for the Indian electric utilities using Data Envelopment Analysis. In: Proceedings of the 37th North
American power symposium. New York: IEEE; 2005. p. 545–9.
[3453] Thakur T, Deshmukh SG, Kaushik SC. Cost benchmarking of Indian electric distribution utilities based on Data Envelopment
Analysis. In: IEE conference publication, vol. 5. Stevenage, UK: Institution of Electrical Engineers; 2005. p. 255–8.
[3454] Thakur T, Deshmukh SG, Kaushik SC. Efficiency evaluation of the state owned electric utilities in India. Energy Policy
2006;34(17):2788–804.
[3455] Thanassoulis E. A comparison of regression-analysis and Data Envelopment Analysis as alternative methods for performance
assessments. Journal of the Operational Research Society 1993;4:1129–44.
[3456] Thanassoulis E. Performance assessment using DEA-discussion of ‘a cautionary note’. Journal of the Operational Research Society
1994;45(5):604–7.
[3457] Thanassoulis E. Assessing police forces in England and Wales using Data Envelopment Analysis. European Journal of Operational
Research 1995;87(3):641–57.
[3458] Thanassoulis E. A Data Envelopment Analysis approach to clustering operating units for resource allocation purposes. Omega
1996;24(4):463–76.
[3459] Thanassoulis E. Altering the bias in differential school effectiveness using Data Envelopment Analysis. Journal of the Operational
[3460] Thanassoulis E. Assessing the effectiveness of schools with pupils of different ability using Data Envelopment Analysis. Journal of
[3461] Thanassoulis E. Efficiency, profitability and benchmarking: the DEA approach. In: Kodonas D, Argyropoulos M, editors.
Proceedings of international productivity symposium, ELKEPA, the Greek Productivity Centre, 1996. p. 337–50.
[3462] Thanassoulis E. Assessing the market efficiency of pubs. OR Insight 1997;10(4):3–8.
[3463] Thanassoulis E. Duality in Data Envelopment Analysis under constant returns to scale. IMA Journal of Mathematics Applied in
Business and Industry 1997;8(3):253–66.
[3464] Thanassoulis E. Estimating efficient marginal resource levels using Data Envelopment Analysis. Journal of Cost Analysis 1998.
[3465] Thanassoulis E. Data Envelopment Analysis and its use in banking. Interfaces 1999;29(3):1–13.
[3466] Thanassoulis E. Setting achievement targets for school children. Education Economics 1999;7(2):101–19.
[3467] Thanassoulis E. DEA and Comparative Efficiency Utilities Journal 1999;2:40–2.
[3468] Thanassoulis E. Use of Data Envelopment Analysis in the regulation of UK water utilities: water distribution. European Journal of
[3469] Thanassoulis E. DEA and its use in the regulation of water companies. European Journal of Operational Research
2000;127(1):1–13.
[3470] Thanassoulis E. Comparative performance measurement in regulation: the case of English and Welsh sewerage services. Journal of
[3471] Thanassoulis E. Data Envelopment Analysis with value judgements. Journal of Royal Statistical Society: Series A
2002;165(3):431–2.
[3472] Thanassoulis E. Introduction to the theory and application of Data Envelopment Analysis: a foundation text with integrated
software. Dordrecht, The Netherlands: Kluwer Academic Publishers; 2002.
[3473] Thanassoulis E. Estimating cost efficiency by DEA: avoiding the pitfalls. Utilities Journal 2003.
[3474] Thanassoulis E, Emrouznejad A. Warwick windows DEA, user’s guide, ISBN:0-902610-63-5. Warwick University, UK: WBS
Print; 1996.
[3475] Thanassoulis E, Simpson GPM. Setting individual achievement targets with DEA. OR Insight 1999;12(2):2–7.
[3476] Thanassoulis E, Portela MCAS. School outcomes: sharing the responsibility between pupil and school1. Education Economics
2002;10(2):183–207.
[3477] Thanassoulis E, Dunstan P. Guiding schools to improved performance using Data Envelopment Analysis: an illustration with data
from a local education authority. Journal of the Operational Research Society 1994;45(11):1247–62.
[3478] Thanassoulis E, Allen R. Simulating weights restrictions in Data Envelopment Analysis by means of unobserved DMUs.
[3479] Thanassoulis E, Dyson RG. Estimating preferred target input-output levels using Data Envelopment Analysis. European Journal
[3480] Thanassoulis E, Boussofiane A, Dyson RG. Exploring output quality targets in the provision of perinatal care in England using
Data Envelopment Analysis. European Journal of Operational Research 1995;80(3):588–607.
[3481] Thanassoulis E, Boussofiane A, Dyson RG. A comparison of Data Envelopment Analysis and ratio analysis as tools for
performance assessment. Omega 1996;24(3):229–44.
[3482] Thanassoulis E, Portela MCS, Despic O. DEA—the mathematical programming approach to efficiency analysis. In: Hal Fried
KLaS, editor. The measurement of productive efficiency and productivity growth. Oxford: Oxford University Press; 2007.
[3483] Thanassoulis E, Portela MCAS, Allen R. Incorporating value judgments in DEA. In: Cooper WW, Seiford LW, Zhu J, editors.
Handbook on Data Envelopment Analysis. Dordrecht, The Netherlands: Kluwer Academic Publishers; 2004.
[3484] Thanassoulis E, Dyson RG, Foster MJ. Relative efficiency assessments using Data Envelopment Analysis: an application to data
on rates departments. Journal of the Operational Research Society 1987;38(5):397–411.
[3485] Thiam A, Bravo-Ureta BE, Rivas TE. Technical efficiency in developing country agriculture: a meta-analysis. Agricultural
Economics 2001;25(2–3):235–43.
106
[3486] Thirtle C, Shankar B, Chitkara P, Chatterjee S, Mohanty MS. Size does matter: technical and scale efficiency in Indian state tax
jurisdictions. Review of Development Economics 2000;4(3):340.
[3487] Thirtle C, Piesse J, Turk J. The productivity of private and social farms: multilateral Malmquist indices for Slovene dairying
enterprises. Journal of Productivity Analysis 1996;7(4):447–60.
[3488] Thirtle C, Piesse J, Lusigi A, Suhariyanto K. Multi-factor agricultural productivity, efficiency and convergence in Botswana,
1981–1996. Journal of Development Economics 2003;71(2):605–24.
[3489] Thiry B, Tulkens H. Allowing for inefficiency in parametric estimation of production functions for urban transit firms. Journal of
Productivity Analysis 1992;3:45–65.
[3490] Thomas AC, Tauer LW. Linear input aggregation bias in nonparametric technical efficiency measurement. Canadian Journal of
Agricultural Economics-Revue 1994;4:77–86.
[3491] Thomas D, Greffe R, Grant K. Application of Data Envelopment Analysis to management audits of electric distribution utilities.
In: Eburnes R, editor. Proceedings of the fifth NARUC biennial regulatory information conference, The National, 1986. p.
1783–882.
[3492] Thomas H, Frost R. An analysis of governmental efficiency in industrialised countries. Public Productivity and Management
Review 1990;8:369–85.
[3493] Thomas JB, Elam J. Evaluating productivity of information systems organizations in state government. Public Productivity Review
1989;12(3):263–77.
[3494] Thomas P, Yupo C, Lehmkuhl L, Nixon W. Obnoxious-facility location and Data Envelopment Analysis: a combined distancebased formulation. European Journal of Operational Research 2002;141(3):495–514.
[3495] Thomas RR, Barr RS, Cron WL, Slocum Jr JW. A process for evaluating retail store efficiency: a restricted DEA approach.
International Journal of Research in Marketing 1998;15(5):487–503.
[3496] Thompson R, Thrall RM. Polyhedral assurance regions with linked constraints. New Directions. Computational Economics
1994:121–33.
[3497] Thompson RG, Criswell DR. Solar power productive efficiency potential: a prototype analysis. In: Proceedings of the second
international conference on systems science and systems engineering, 1993. p. 687–92.
[3498] Thompson RG, Criswell DR. Lunar solar power productive efficiency potential: a prototype analysis. In: AIP conference
proceedings, 1995. p. 1043–8.
[3499] Thompson RG, George MD. A stochastic investment model for a survival conscious firm. Annals of Operations Research
1985;2:157–82.
[3500] Thompson RG, Lee E, Thrall RM. DEA/AR-efficiency of US independent oil/gas producers over time. Computer and Operations
Research 1992;19(5):377–91.
[3501] Thompson RG, Brinkmann EJ, Dharmapala PS, Gonzalez-Lima MD, Thrall RM. DEA/AR profit ratios and sensitivity of 100
large US Banks. European Journal of Operational Research 1997;98(2):213–29.
[3502] Thompson RG, Singleton Jr FD, Thrall RM, Smith BA. Comparative site evaluations for locating a high-energy physics lab in
Texas. Interfaces 1986;16(6):35–49.
[3503] Thompson RG, Langemeier LN, Thrall RM, Lee E. The role of multiplier bounds in efficiency analysis with application to Kansas
farming. Journal of Econometrics 1990;46:93–108.
[3504] Thompson RG, Lamotte LR, Oxspring H, Davis GB, Blaich OP. Measuring the value of information: the case of data on the cost
of production cotton. Annals of Operations Research 1985;2:317–28.
[3505] Thompson RG, Dharmapala PS, Thrall RM. Importance for DEA of zeros in data, multipliers, and solutions. Journal of
[3506] Thompson RG, Dharmapala PS, Thrall RM. Sensitivity analysis of efficiency measures with applications to Kansas farming and
Illinois coal mining. In: Charnes A, Cooper WW, Lewin AY, Seiford LM, editors. Data Envelopment Analysis: theory,
methodology, and applications. Dordrecht, The Netherlands: Kluwer; 1994. p. 393–422.
[3507] Thompson RG, Dharmapala PS, Thrall RM. Linked-cone DEA profit ratios and technical efficiency with application to Illinois
coal mines. International Journal of Production Economics 1995;39(1–2):99–115.
[3508] Thompson RG, Dharmapala PS, Humphrey DB, Taylor WM, Thrall RM. Computing DEA/AR efficiency and profit ratio
measures with an illustrative bank application. Annals of Operations Research 1996;68:303–27.
[3509] Thompson RG, Dharmapala PS, Gatewood EJ, Macy S, Thrall RM. DEA/assurance region SBDC efficiency and unique
projections. Operations Research 1996;44(4):533–42.
[3510] Thompson RG, Dharmapala PS, Diaz J, Gonzalez-Lima MD, Thrall RM. DEA multiplier analytic center sensitivity with an
illustrative application to independent oil companies. Annals of Operations Research 1996;66:163–77.
[3511] Thompson RG, Dharmapala PS, Rothenberg LJ, Thrall RM. DEA/AR efficiency and profitability of 14 major oil companies in
US exploration and production. Computer and Operations Research 1996;23(4):357–73.
[3512] Thore S. Economies of scale in the US computer industry: an empirical investigation using Data Envelopment Analysis. Journal of
Evolutionary Economics 1996;6(2):199.
[3513] Thore S, Phillips F, Ruefli TW, Yue P. DEA and the management of the product cycle: the US computer industry. Computer and
[3514] Thore S, Kozmetsky G, Phillips F. DEA of financial statements data—the United States computer industry. Journal of
Productivity Analysis 1994:229–48.
[3515] Thore SA. Cost effectiveness and competitiveness in the computer industry: a new metric. Technology Knowledge Activities
1993;1(2):1–10.
107
[3516] Thore SA. Economies of scale, emerging patterns, and self-organization in the US computer industry: an empirical investigation
using Data Envelopment Analysis. Journal of Economic Education 1996;6(2):199–216.
[3517] Thore SA, Lovell CAK. Productive efficiency under capitalism and state socialism: the chance-constrained programming approach.
Publique Finance 1992;47:109–21.
[3518] Thore SA, Kozmetsky G, Phillips FY. DEA of financial statements data: the US computer industry. Journal of Productivity
Analysis 1994;2:229–48.
[3519] Thrall RM. Classification transitions under expansion of inputs and outputs in Data Envelopment Analysis. Managerial and
Decision Economics 1989;10(2):159–62.
[3520] Thrall RM. Comments on incentives and productivity measurements. International Journal of Production Economics 1995;39(1/
2):78.
[3521] Thrall RM. Duality, classification and slacks in DEA. Annals of Operations Research 1996;66:109–38.
[3522] Thrall RM. The lack of invariance of optimal dual solutions under translation. Annals of Operations Research 1996;66:103–8.
[3523] Thrall RM. What is the economic meaning of FDH? Journal of Productivity Analysis 1999;11(3):243–50.
[3524] Thrall RM. Measures in DEA with an application to the Malmquist index. Journal of Productivity Analysis 2000;13(2):125–37.
[3525] Thursby JG. What do we say about ourselves and what does it mean? Yet another look at economics department research. Journal
of Economic Literature 2000;38(2):383–404.
[3526] Thursby JG, Kemp S. Growth and productive efficiency of university intellectual property licensing. Research Policy
2002;31(1):109–24.
[3527] Tian C, Chai Y, Ren C, Liu Y, Ren S. Business process optimization algorithms. In: Proceedings of fifth world congress on
intelligent control and automation, vol. 3. New York: IEEE; 2004. p. 2729–33.
[3528] Tian W, Wan GH. Technical efficiency and its determinants in China’s grain production. Journal of Productivity Analysis
2000;13(2):159–74.
[3529] Tieslau Ma SPBRT. A minimum distance estimator for long-memory processes. Journal of Econometrics 1996;7:249–64.
[3530] Timmer MP, Los B. Localized innovation and productivity growth in Asia: an intertemporal DEA approach. Journal of
[3531] Tingley D, Pascoe S. Factors affecting capacity utilisation in English Channel fisheries. Journal of Agricultural Economics
2005;56(2):287–305.
[3532] Tingley D, Pascoe S, Coglan L. Factors affecting technical efficiency in fisheries: stochastic production frontier versus Data
Envelopment Analysis approaches. Fisheries Research 2005;73(3):363–76.
[3533] Tingley D, Pascoe S, Mardle S. Estimating capacity utilisation in multi-purpose, multi-metier fisheries. Fisheries Research
2003;63(1):121–34.
[3534] Tipi T, Rehber E. Measuring technical efficiency and total factor productivity in agriculture: the case of the South Marmara region
of Turkey. New Zealand Journal of Agricultural Research 2006;49(2):137–45.
[3535] Tiryaki F. The use of Data Envelopment Analysis for stocks selection on Istanbul stock exchange. In: Proceedings of Portland
International Conference on Management of Engineering and Technology. Portland International; 2002. p. 373.
[3536] Todd D. Productive performance in the firm: the economic approach. In: Pickering JF, Cockeril TAJ, editors. Economic
Management of the Firm. Philip Allen Publisher; 1984.
[3537] Todd D. Productive performance in West German manufacturing industry 1970–80: a Farrell Frontier characterization. Journal of
Industrial Economics 1985;33(3).
[3538] Todoroki CL, Carson SD. Managing the future forest resource through designer trees. International Transactions in Operational
Research 2003;10(5):449–60.
[3539] Tofallis C. Improving discernment in DEA using profiling. Omega 1996;24(3):361–4.
[3540] Tofallis C. Multi-criteria efficiency profiling. In: Tamiz M, editor. Multi-objective programming and goal programming: theories
and applications. Berlin: Springer; 1996.
[3541] Tofallis C. Input efficiency profiling: an application to airlines. Computer and Operations Research 1997;24(3):253–8.
[3542] Tofallis C. Modelling best practice frontiers when there are multiple outputs. In: Proceedings of the second international conference
on multi-objective and goal programming, 1997.
[3543] Tofallis C. Multi-criteria site selection using DEA profiling. Studies in Location Analysis 1997;4:230.
[3544] Tofallis C. Model building with multiple dependent variables and constraints. The Statistician 1999;48(3):371–8.
[3545] Tofallis C. Multi-attribute selection using discrete frontier profiling. In: Meskens N, Roubens M, editors. Advances in decision
analysis. Dordrecht, The Netherlands: Kluwer; 1999.
[3546] Tofallis C. Combining two approaches to efficiency assessment. Journal of the Operational Research Society 2001;52(11):1225–31.
[3547] Tofallis C, Sargeant A. Assessing charities using Data Envelopment Analysis. In: Neely A, editor. Performance measurement: past,
present and future. Centre for Business Performance; 1989.
[3548] Tofallis C, Green R, Doyle J. Improving discernment in DEA using profiling and comment. Omega 1996;24(3):361–6.
[3549] Tohidi G, Jahanshahloo GR, Lotfi FH, Shoja N, Razavyan S. The identification of nondominated and efficient paths on a
network. Applied Mathematics and Computation 2005;169(2):866–73.
[3550] Tohidi G, Jahanshahloo GR, Lotfi FH, Shoja N, Razavyan S. Sensitivity of efficiency classifications in the inverse DEA models.
[3551] Tohidi G, Jahanshahloo GR, Lotfi FH, Shoja N, Razavyan S. Undesirable inputs and outputs in DEA models. Applied
108
[3552] Tomkins C, Green R. An experiment in the use of Data Envelopment Analysis for evaluating the efficiency of UK university
departments of accounting. Financial Accountability and Management 1988;4(2):147.
[3553] Tone K. A comparative study on AHP and DEA. International Journal on Policy and Information 1989;13(2):57–64.
[3554] Tone K. An epsilon-free DEA and a new measure of efficiency. Journal of Operations Research Society of Japan
1993;36(3):167–74.
[3555] Tone K. A simple characterization of returns to scale in DEA. Journal of Operations Research Society of Japan 1996;39(4):604–13.
[3556] Tone K. A slacks-based measure of efficiency in Data Envelopment Analysis. European Journal of Operational Research
2001;130(3):498–509.
[3557] Tone K. On returns to scale under weight restrictions in Data Envelopment Analysis. Journal of Productivity Analysis
2001;16(1):31–47.
[3558] Tone K. A slacks-based measure of super-efficiency in Data Envelopment Analysis. European Journal of Operational Research
2002;143(1):32–41.
[3559] Tone K. A strange case of the cost and allocative efficiencies in DEA. Journal of the Operational Research Society
2002;53(11):1225–31.
[3560] Tone K, Sahoo BK. Scale, indivisibilities and production function in Data Envelopment Analysis. International Journal of
[3561] Tone K, Sahoo BK. Degree of scale economies and congestion: a unified DEA approach. European Journal of Operational
Research 2004;158(3):755–72.
[3562] Tone K, Sahoo BK. Evaluating cost efficiency and returns to scale in the life insurance corporation of India using Data
Envelopment Analysis. Socio-Economic Planning Sciences 2005;39(4):261–85.
[3563] Tone K, Sahoo BK. Re-examining scale elasticity in DEA. Annals of Operations Research 2006;145:69–87.
[3564] Tone K, Sawada T. An efficiency analysis of public vs. private bus transportation enterprises. Operational Research 1991;9:365.
[3565] Tone K, Sueyoshi T. Preface: evaluating performances for activities in Pacific Rim countries—in celebration of the 40th
anniversary of the operations research society of Japan. Omega 1998;26(2):147–51.
[3566] Tone K, Cooper WW. Measures of inefficiency in Data Envelopment Analysis and stochastic frontier estimation. European
[3567] Tongzon J. Efficiency measurement of selected Australian and other international ports using Data Envelopment Analysis.
[3568] Tonini A, Jongeneel R. Is the collapse of agricultural output in the CEECs a good indicator of economic performance? A total
factor productivity analysis. Eastern Economic Journal 2006;44(4):32–59.
[3569] Topuz JC, Darrat AF, Shelor RM. Technical, allocative and scale efficiencies of REITs: an empirical inquiry. Journal of Business
Finance and Accounting 2005;32(9/10):1961–94.
[3570] Torgersen AM, Forsund FR, Kittelsen SAC. Slack-adjusted efficiency measures and ranking of efficient units. Journal of
[3571] Tortosa-Ausina E. Exploring efficiency differences over time in the Spanish banking industry. European Journal of Operational
Research 2002;139(3):643–64.
[3572] Tortosa-Ausina E, Tortosa-Ausina E. Explaining efficiency differences over time in the Spanish banking industry. European
Journal of Operational Research 2002;13:64.
[3573] Townsend RF, Kirsten J, Vink N. Farm size productivity and returns to scale in agriculture revisited: a case study of wine
producers in South Africa. Agricultural Economics 1998;1(1/2):175–80.
[3574] Tracy DL, Chen B. A generalized model for weight restrictions in Data Envelopment Analysis. Journal of the Operational
[3575] Triantis K. Fuzzy non-radial Data Envelopment Analysis (DEA) measures of technical efficiency in support of an integrated
performance measurement system. International Journal of Automotive Technology and Management 2003;3(3–4):328–53.
[3576] Triantis K, Girod O. A mathematical programming approach for measuring technical efficiency in a fuzzy environment. Journal of
[3577] Triantis K, Otis P. Dominance-based measurement of productive and environmental performance for manufacturing. European
[3578] Triantis K, Sarangi S, Kuchta D. Fuzzy pair-wise dominance and fuzzy indices: an evaluation of productive performance.
[3579] Triantis KP. A fuzzy clustering approach used in evaluating technical efficiency measures in manufacturing. Journal of
[3580] Triantis KP. Fuzzy nonradial DEA measures of technical efficiency. In: Proceedings of Portland international conference on
management of engineering technology. New York: IEEE; 1997. p. 779–82.
[3581] Triantis KP, Girod O. Measurement and evaluation of efficiency performance in manufacturing: a fuzzy Data Envelopment
Analysis (DEA) approach. In: Proceedings of the international symposium on Unmanned untethered submersible technology,
1997. p. 897.
[3582] Tripp JD, Kenny PM, Johnson DT. An examination of the efficiency of single vs. multiple common bond credit unions. Issue Series
Title: Research in Finance 2005;21:253–63.
[3583] Troutt MD. Derivation of the maximin efficiency ratio model from the maximum decisional efficiency principle. Annals of
109
[3584] Troutt MD, Leung TW. Enhanced bisection strategies for the maximin efficiency ratio model. European Journal of Operational
Research 2003;144(3):545–53.
[3585] Troutt MD, Rai A, Aimao Z. The potential use of DEA for credit applicant acceptance systems. Computer and Operations
Research 1996;23(4):405–8.
[3586] Troutt MD, Zhang A, Pettypool MD. Recent results on the Maximum Efficiency Ratio (MER) model for efficiency ranking. In:
Proceedings of the Decision Sciences Institute, 1994 Annual Meeting, vol. 2. Decision Sciences Institute, 1994. p. 1236–8.
[3587] Troutt MD, Zhang AM, Tadisina SK, Rai A. Total factor efficiency/productivity ratio fitting as an alternative to regression and
canonical correlation models for performance data. Annals of Operations Research 1997;74:289–304.
[3588] Troutt MD, Gribbin DW, Shanker M, Zhang A. Cost efficiency benchmarking for operational units with multiple cost drivers.
Decision Sciences 2000;31(4):813–32.
[3589] Troutt MD, Ehie IC, Brandyberry AA. Maximally productive input–output units. European Journal of Operational Research
2007;178(2):359–73.
[3590] Trueblood MA, Ruttan VW. A comparison of multifactor productivity calculations of the US agricultural sector. Journal of
[3591] Truett LJ, Truett DB. Economies of scale in the Mexican automotive sector. Journal of Productivity Analysis 1996;7(4):429–46.
[3592] Tsai C-T, Wang Y-H. The association between technical efficiency innovations and stock returns: an application of Data
Envelopment Analysis. Journal of Chinese Institute of Industrial Engineers 2004;21(2):136–45.
[3593] Tsai H-C, Chen C-M, Tzeng G-H. The comparative productivity efficiency for global telecoms. International Journal of
[3594] A variable returns to scale Data Envelopment Analysis model for the joint determination of efficiencies with an example of the UK
health service. European Journal of Operational Research 2002;141(1):21–38.
[3595] Tsamboulas DA. Assessing performance under regulatory evolution: a European transit system perspective. Journal of Urban
Planning and Development 2006;132(4):226–34.
[3596] Tsang AHC, Jardine AKS, Kolodny H. Measuring maintenance performance: a holistic approach. International Journal of
[3597] Tsekouras KD, Pantzios CJ, Karagiannis G. Malmquist productivity index estimation with zero-value variables: the case of Greek
prefectural training councils. International Journal of Production Economics 2004;89(1):95–106.
[3598] Tser-yieth C. A measurement of Taiwan’s bank efficiency and productivity change during the Asian financial crisis. International
Journal of Services Technology and Management 2005;6(6):1.
[3599] Tser-Yieth C, Tsai-Lien Y. A measurement of bank efficiency, ownership and productivity changes in Taiwan. Service Industries
Journal 2000;20(1):95–109.
[3600] Tsionas EG. Combining DEA and stochastic frontier models: an empirical Bayes approach. European Journal of Operational
Research 2003;147(3):499–510.
[3601] Tsionas EG, Lolos SEG, Christopoulos DK. The Performance of the Greek banking system in view of the EMU: results from a
non-parametric approach. Economic Modelling 2003;20(3):571.
[3602] Tsolas IE, Manoliadis OG. Sustainability indices of thermal electrical power production in Greece. Journal of Environmental
Engineering 2003;129(2):179–82.
[3603] Tulkens H. On FDH efficiency analysis: some methodological issues and applications to retail banking, courts, and urban transit.
[3604] Tulkens H, Vanden Eeckaut P. Non-frontier measures of efficiency, progress and regress for time series data. International Journal
of Production Economics 1995;39(1–2):83–97.
[3605] Tulkens H, Vanden Eeckaut P. Non-parametric efficiency, progress and regress measures for panel data: methodological aspects.
[3606] Tulkens H, Vandeneeckaut P. Non-frontier measures of efficiency, progress and regress for time-series data. International Journal
of Production Economics 1995;3:83–97.
[3607] Tulkens H, Vandeneeckaut P. Nonparametric efficiency, progress and regress measures for panel-data-methodological aspects.
[3608] Turner H, Windle R, Dresner M. North American containerport productivity: 1984–1997. Transportation Research Part E:
Logistics and Transportation Review 2004;40(4):339–56.
[3609] Turner LD. Improved measures of manufacturing maintenance in a capital budgeting context: an application of data envelope
analysis efficiency measures. Journal of Management Accounting Research 1990;2:127.
[3610] Turner LD, Depree CM. The relative efficiency of Boards of Accountancy—a measure of the professions enforcement and
disciplinary processes. Journal of Accounting and Public Policy 1991;1:1–13.
[3611] Turner LD, DePree Jr CM. The relative efficiency of Boards of Accountancy: a measure of the profession’s enforcement and
disciplinary processes. Journal of Accounting and Public Policy 1991;10(1):01–13.
[3612] Tuzkaya UR, Ertay T. An application of fuzzy AHP/DEA methodology for the facility layout design in the presence of both
quantitative and qualitative data. In: Proceedings of the sixth international conference in applied computational intelligence.
Singapore: World Scientific Publishing; 2004. p. 507–12.
[3613] Tuzkaya UR, Eser A, Argon G. Solving a layout design problem by analytic hierarchy process (AHP) and data Envelopment
Analysis (DEA) approach. In: Proceeding of the international society for optical engineering, vol. 5262, SPIE-International Society
for Optical Engineering, 2003. p. 232–9.
110
[3614] Tveterås R. Production risk and productivity growth: some findings for Norwegian Salmon Aquaculture. Journal of Productivity
Analysis 1999;12(2):161–79.
[3615] Tybout JR. Manufacturing firms in developing countries: how well do they do, and why? Journal of Economic Literature
2000;38(1):11–44.
[3616] Tyler LH, Ozcan YA, Wogen SE. Mental-health case-management and technical efficiency. Journal of Medical Systems
1995;1:413–23.
[3617] Tyler Lh, Ozcan Ya, Wogen SE. Technical efficiency of community mental health centers. Journal of Medical Systems
1995:413–23.
[3618] Tyteca D. On the measurement of the environmental performance of firms—a literature review and a productive efficiency
perspective. Journal of Environmental Management 1996;46(3):281–308.
[3619] Tyteca D. On the measurement of the environmental performance of firms—a literature review and a productive efficiency
perspective. Journal of Environmental Management 1996;4:281–308.
[3620] Tyteca D. Linear programming models for the measurement of environmental performance of firms—concepts and empirical
results. Journal of Productivity Analysis 1997;8(2):183–97.
[3621] Tzanidakis G. Regression versus Data Envelopment Analysis for efficiency measurement: an application to the England and Wales
regulated water industry. Utilities Policy 1998;7:75–85.
[3622] Tzeng G-H, Chiou H-K, Tang W-M. IDEA with FMOP method for evaluating the performance of R and D projects in Taiwan. In:
Proceedings of the sixth biannual world automation congress. Albuquerque, NM, USA: TSI Press; 2004. p. 341–4.
[3623] Ucer M, Rijckeghem CV, Yolalan R. Leading indicators of currency crises: a brief literature survey and an application to Turkey.
Yapi Kredi Economic Review 1998;9(2):3–24.
[3624] Ueda T. Objective restriction on multipliers in Data Envelopment Analysis (DEA). Technical Reports of Seikei University
2000;37(1):27–31.
[3625] Ueda T, Hoshino K. Estimation of firms efficiencies using Kalman filter and a stochastic efficiency model. Journal of Faculty of
Engineering, Seikei University 2003;40(1):11–6.
[3626] Ueda T, Hoshiai Y. Application of component analysis for parsimonious summarization of DEA inputs and/or outputs. Journal of
[3627] Ueda T, Hoshiai Y. Application of principal component analysis for parsimonious summarization of DEA inputs and/or outputs.
[3628] Uemura Y. Satisfactional method introducing the concept of a fuzzy goal in DEA. Japanese Journal of Fuzzy Theory and Systems
1997;9(5):545–51.
[3629] Uemura Y. A comparative study in evaluation of the efficiency for DMU: fuzzy loglinear model and DEA. In: Proceedings of the
fifth international conference on soft computing and information/intelligent systems. Methodologies for the conception, design and
application of soft computing, vol. 2. Singapore: World Scientific; 1998. p. 680–3.
[3630] Uemura Y. A comparative study of the fuzzy linear model and the DEA in evaluation of efficiency of the DMUs. Control and
Cybernetics 1998;27(3):471–7.
[3631] Uemura Y. A satisficing method of introducing the concepts of fuzzy goal and fuzzy constraints into the DEA. Control and
Cybernetics 1998;27(3):465–9.
[3632] Uemura Y. Constructing improvement plan for non-efficiency DMUs-inefficient decision making units. In: Proceedings of the fifth
international conference on soft computing and information/intelligent systems. Methodologies for the conception, design and
application of soft computing, vol. 2. Singapore: World Scientific; 1998. p. 676–9.
[3633] Uemura Y. Fusion of evaluation of possibility production function and DEA by introducing a fuzzy goal. Proceedings of
international conference on knowledge-based intelligent electronic systems 1998;1:285–8.
[3634] Uemura Y. Fuzzy satisfaction method by fuzzy multi-objective linear problem introducing two fuzzy goals from possibility
production function into DEA. In: Proceedings of sixth European congress on intelligent techniques and soft computing, vol. 2.
Verlag Mainz, 1998. p. 1028–32.
[3635] Uemura Y. Constructing improvement plan for inputs through dialogue with DM about DEA-efficiency for DMUs. Control and
Cybernetics 1999;28(1):133–9.
[3636] Uemura Y. Formulation for fuzzy mixed CCR model. In: Proceedings of the eighth international fuzzy systems association world
congress, vol. 2. Nat. Central Univ.; 1999. p. 991–4.
[3637] Uemura Y. Fuzzy mixed CCR models and its application to banking. In: Proceedings of the eighth international fuzzy systems
association world congress, vol. 1, Nat. Central Univ., 1999. p. 449–53.
[3638] Umetsu C. Population pressure and agricultural intensification: technology adoption and resource management in the agricultural
sector in the Philippines. Foundation for Advanced Studies on International Development (FASID) 1996:1–148.
[3639] Umetsu C, Lekprichakul T, Chakravorty U. Efficiency and technical change in the Philippine rice sector: a malmquist total factor
productivity analysis. American Journal of Agricultural Economics 2003;85(4):943–63.
[3640] Uri ND. Measuring productivity change in telecommunications. Telecommunications Policy 2000;24(5):439–52.
[3641] Uri ND. Changing productive efficiency in telecommunications in the US. International Journal of Production Economics
2001;72(2):121–37.
[3642] Uri ND. Incentive regulation and the change in productive efficiency of local exchange carriers. Applied Mathematical Modelling
2001;25(5):335–45.
[3643] Uri ND. Measuring the impact of price caps on productive efficiency in telecommunications in the US. Engineering Economist
2001;46(2):81–113.
111
[3644] Uri ND. Productivity change, technical progress, and efficiency improvement in telecommunications. Review of Industrial
Organization 2001;18(3):283–300.
[3645] Uri ND. The effect of incentive regulation on productive efficiency in telecommunications. Journal of Policy Modeling
2001;23(8):825–46.
[3646] Uri ND. The effect of incentive regulation in telecommunications in the USA. International Journal of Services Technology and
Management 2002;3(4):441–62.
[3647] Uri ND. The measurement of the change in productivity in telecommunications. Telecommunications System 2002;20(3–4):177–94.
[3648] Uri ND. The change in technical and allocative efficiency of local exchange carriers in the US. INFOR 2003;5(3):53–64.
[3649] Uri ND. The effect of incentive regulation in telecommunications in the US. Quality and Quantity 2003;37(2):169.
[3650] Uri ND. The impact of price caps on the technical efficiency of local exchange carriers in the USA. International Journal of
Technology, Policy and Management 2004;4(2):151–68.
[3651] Uri ND. A note on the technical and allocative efficiency of local exchange carriers in the US. Quality and Quantity
2006;40(3):383–406.
[3652] Utkin OB, Krivonozhko VE, Sablin IA, Patrin M. Constructions of economic functions in DEA using parametric optimization
methods. In: Emrouznejad A, Green R, Krivonozhko V, editors. Efficiency and productivity analysis in the 21st century,
International Research in Management Science, 2002.
[3653] Vakkuri J. Research techniques and their use in managing non-profit organisations—an illustration of DEA analysis. NPO
Environments 2003;19(3):243–63.
[3654] Valdmanis V. Sensitivity analysis for DEA models: an empirical example using public vs. N.F.P hospitals. Journal of Public
Economics 1992;4:185–205.
[3655] Valdmanis V, Walker D, Fox-Rushby J. Are vaccination sites in Bangladesh scale efficient? International Journal of Technology
Assessment in Health Care 2003;19(4):692–7.
[3656] Valdmanis V, Kumanarayake L, Lertiendumrong J. Capacity in Thai public hospitals and the production of care for poor and
nonpoor patients. Health Services Research 2004;39(6):2117–34.
[3657] Valdmanis VG. Ownership and technical efficiency of hospitals. Medical Care 1990;28(6).
[3658] Valdmanis VG. Estimating output substitutability of hospital services: a distance function approach. European Journal of
[3659] Valdmanis VG. Rural hospital performance and its correlates. Journal of Productivity Analysis 1996;7(1):63–80.
[3660] Valdmanis VG. The effects of teaching on hospital productivity. Socio-Economic Planning Sciences 2001;35(3):189–204.
[3661] Van Beek DA, Rooda JE. Languages and applications in hybrid modelling and simulation: positioning of Chi. Control Engineering
Practice 2000;8(1):81–91.
[3662] Van Der Meer RB, Quigley J, Storbeck JE. Using Data Envelopment Analysis to model the performance of UK coastguard
centres. Journal of the Operational Research Society 2005;56(8):889–901.
[3663] Van Der Meer RB, Quigley J, Storbeck JE. Using regression analysis to model the performance of UK coastguard centres. Journal
of the Operational Research Society 2005;56(6):630–41.
[3664] Van Puyenbroeck T. Some remarks on modified FDH. Journal of Productivity Analysis 1998;9(1):81–94 JAN.
[3665] Vanden Eeckaut P. Free disposal hull and measurement of efficiency: theory, applications and software. Belgium, CIACO:
Louvain-la-Neuve; 1997.
[3666] Vanden Eeckaut P. Fuzzy pair-wise dominance and implications for technical efficiency performance assessment. Journal of
[3667] Vanden Eeckaut P, Lovell CAK. Evaluating the performance of US credit unions. Journal of Banking and Finance
1993;17:251–65.
[3668] Vanden Eeckaut P, Ferrier GD, Kerstens K. Radial and nonradial technical efficiency measures on a DEA reference technology: a
comparison using US banking data. Recherches Economiques de Louvain 1994;60(4):449–79.
[3669] Vanden Eeckaut P, Tulkens H, Jamar MA. Cost efficiency in Belgian municipalities. In: Fried HO, Schmidt SS, editors. The
[3670] Vaneman WK, Trianfis K. Planning for technology implementation: an S.D (DEA) Approach. In: Proceedings of Portland
international conference on management of engineering and technology, vol. 2. Portland International, 2001. p. 375–83.
[3671] Vaninsky A. Combining Data Envelopment Analysis with neural networks: application to analysis of stock prices. Journal of
Information and Optimization Sciences 2004;25(3):589–611.
[3672] Vaninsky A. Efficiency of electric power generation in the US: analysis and forecast based on Data Envelopment Analysis. Energy
Economics 2006;28(3):326–38.
[3673] Vargas S. A simulation-based adaptive policy framework to study the effects of policy cycles on the efficiency frontier dynamic. In:
Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004. UK: Birmingham; 2004. p. 39.
[3674] Vargas VA, Metters R. Adapting lot-sizing techniques to stochastic demand through production scheduling policy. IIE
Transactions 1996;28(2):141–8.
[3675] Vargas VA, Whybark DC, Xiao CZ. Comparing manufacturing output and practices in China, Hungary, the USSR and USA.
International Journal of Production Research 1996;3:1429–45.
[3676] Varian H. Goodness-of-fit in optimising models. Journal of Econometrics 1990;4:114–25.
[3677] Varian HR. Goodness-of-fit in optimizing models. Journal of Econometrics 1990;46:125–40.
112
[3678] Vasilakis Athanasios G, Paggios Ioannis K, Papadeas Panagiotis V. Constructing Data Envelopment Analysis via performance
measures: a field research from modifying the balance scored card in a public training centre. In: Emrouznejad A, Podinovski V,
editors. Proceedings of DEA2004. UK: Birmingham; 2004. p. 78.
[3679] Vassdal T. Effektivitetsmalinger med ikke-parametriske metoder. Norwegianinorsk Okonomtsk Tidsskrift 1990;10:113–38.
[3680] Vassiloglou M, Giokas D. A Study of the relative efficiency of bank branches: an application of Data Envelopment Analysis.
[3681] Vega LC, Veiderpass A. Efficiency and change in the productivity of the Peruvian cement industry—application of a
nonparametric method. Trimestre Economico 1994;61(242):309–33.
[3682] Veiderpass A, Hjalmarsson L, Mork KA. Productivity in Swedish electricity retail distribution: comment. Scandinavian Journal of
Economics 1992;94.
[3683] Veihola M, Aroviita P, Linna M, Sintonen H, Kekomaki R. International comparison of the technical efficiency of component
preparation. Transfusion 2006;46(12):2109–14.
[3684] Vencheh AH, Foroughi AA. A generalized DEA model for inputs/outputs estimation. Mathematical and Computer Modelling
2006;43(5–6):447–57.
[3685] Vencheh AH, Matin RK, Kajani MT. Undesirable factors in efficiency measurement. Applied Mathematics and Computation
2005;163(2):547–52.
[3686] Venkata MS, Babu VL, Sarma PN. Effect of various pretreatment methods on anaerobic mixed microflora to enhance biohydrogen
production utilizing dairy wastewater as substrate. Bioresources Technology, 2007.
[3687] Vennesland B. Measuring rural economic development in Norway using Data Envelopment Analysis. Forest Policy and Economics
2005;7(1):109–19.
[3688] Ventelou B, Bry X. The role of public spending in economic growth: envelopment methods. Journal of Policy Modeling
2006;28(4):403–13.
[3689] Vera A, Kuntz L. Process-based organization design and hospital efficiency. Health Care Management Review 2007;32(1):55–65.
[3690] Verma A, Gavirneni S. Measuring police efficiency in India: an application of Data Envelopment Analysis. Policing: An
International Journal of Police Strategies and Management 2006;29(1):125–45.
[3691] Verma BB, Morgan EP. An introduction to Data Envelopment Analysis: a tool for performance measurement (book). Vikalpa:
The Journal for Decision Makers 2004;29(2):135–7.
[3692] Verma BB, Bhat R, Verma Bharat B, Reuben E. Hospital efficiency: an empirical analysis of district and grant-in-aid hospitals in
Gujarat. Journal of Health Management 2001;3(2).
[3693] Verma D, Sinha KK. Toward a theory of project interdependencies in high tech R and D environments. Journal of Operations
Management 2002;20(5):451–68.
[3694] Verma D, Sinha KK. Toward a theory of project interdependencies in high tech R&D environments. Journal of Operations
Management 2002;20(5):451–68.
[3695] Vestergaard N, Squires D, Kirkley J. Measuring capacity and capacity utilization in fisheries: the case of the Danish gill-net fleet.
Fisheries Research 2003;60(2–3):357–68.
[3696] Viitala E-J, Hanninen H. Measuring the efficiency of public forestry organizations. Forest Science 1998;44(2):298–307.
[3697] Villa Caro G, Lozano Segura S, Calle Suarez M. Genetic algorithm and Tabu search for centralised DEA in economic scenario. In:
Proceedings of international conference on modelling and simulation. Tassin la Demi-Lune, France: AMSE; 2004. p. 203–4.
[3698] Villa G, Lozano S. A constant sum of outputs DEA model for Olympic games target setting. In: Emrouznejad A, Podinovski V,
editors. Proceedings of DEA2004, Birmingham, UK, 2004.
[3699] Vitaliano DF. Assessing public library efficiency using Data Envelopment Analysis. Annals of Public and Cooperative Economics
1998;69(1):107–22.
[3700] Vitaliano DF, Stella GP. The cost of corporate social responsibility: the case of the community reinvestment act. Journal of
[3701] Vitner G, Rozenes S, Spraggett S. Using data envelope analysis to compare project efficiency in a multi-project environment.
International Journal of Project Management 2006;24(4):323–9.
[3702] Viton PA. Changes in multi-mode bus transit efficiency, 1988–1992. Transportation 1998;25(1):1–21.
[3703] Vivas AL. Profit efficiency for Spanish savings banks. European Journal of Operational Research 1997;98(2):381–94.
[3704] Vivas AL. Efficiency and technical change for Spanish banks. Applied Financial Economics 1998;8(3):289–300.
[3705] Viverita R, Ariff M. Corporate financial performance and production efficiency: a study on Indonesia’s public and private sector
firms. In: Emrouznejad A, Podinovski V, editors. Proceedings of DEA2004, vol. 86, Birmingham, UK, 2004.
[3706] Vogel HA. Impact of privatisation on the financial and economic performance of European airports. Aeronautical Journal
2006;110(1106):197–213.
[3707] von Hirschhausen C, Cullmann A, Kappeler A. Efficiency analysis of German electricity distribution utilities—non-parametric and
parametric tests. Applied Economics 2006;38(21):2553–66.
[3708] von Mayrhauser A, Wohlin C, Ohlsson MC. Assessing and understanding efficiency and success of software production. Empirical
Software Engineering 2000;5(2):125–54.
[3709] Wadhwa S, Kumar A, Saxena A. Modeling and analysis of technical education system: a KM and DEA based approach. Studies in
Informatics and Control 2005;14(4):235–50.
[3710] Wadud A, White B. Farm household efficiency in Bangladesh: a comparison of Stochastic frontier and DEA methods. Applied
Economics 2000;3(13):1665–73.
113
[3711] Wai Ho L, Dollery B. The productive efficiency of Singapore banks: an application and extension of the Barr et al. (1999)
approach. Singapore Economic Review 2004;49(2):273–90.
[3712] Walden JB, Kirkley JE, Kitts AW. A limited economic assessment of the Northeast groundfish fishery buyout program. Land
Economics 2003;79(3):426–39.
[3713] Walters LC, Wood LL. Stratified models of education production using modified DEA and regression analysis. In: Charnes A,
Cooper WW, Lewin AY, Seiford LM, editors. Data Envelopment Analysis: theory, methodology, and applications. Kluwer; 1994.
p. 329–51.
[3714] Walters LC, Gary CC, David WS, Charles G. Measuring obsolescence in regulated firms: enhancements to the cost approach.
Assessment Journal 1994;1(3):47–58.
[3715] Waltz EA, Thompson RG. International relative technical efficiency analysis of a US commitment to lunar solar power (L.S.P). In:
Proceedings of A.I.P. conference, 1995. p. 1049–54.
[3716] Wan TTH. The impact of the prospective payment system on technical efficiency of hospitals. Journal of Medical Systems
2000;24(3):159–72.
[3717] Wan TTH, Lin YJ. Analysis of integrated healthcare networks’ performance: organizational analysis from a contingency-strategic
management perspective. Journal of Medical Systems 1999;23(6):477–95.
[3718] Wan TTH, Ma A, Lin YJ. Integration and the performance of healthcare networks: Do integration strategies enhance efficiency,
profitability, and image? International Journal of Integrated Care 2001;1(3):1–10.
[3719] Wan TTH, Clement J, Begun JW. Managed care, vertical integration strategies and hospital performance. Health Care
[3720] Wan TTH, Falk J, Goodwin D. Management strategies and financial performance in rural and urban hospitals. Journal of Medical
Systems 2001;25(4):241–55.
[3721] Wang B, Zhang Q, Wang F. Using DEA to evaluate firm productive efficiency with environmental performance. Control and
Decision 2002;17(1):24–8.
[3722] Wang BB, Ozcan YA, Wan TTH. Trends in hospital efficiency among metropolitan markets. Journal of Medical Systems
1999;23(2):83–97.
[3723] Wang CG, Färe R, Seavert CF. Revenue capacity efficiency of pear trees and its decomposition. Journal of American Society for
Horticultural Science 2006;131(1):32–40.
[3724] Wang CH, Gopal RD, Zionts S. Use of Data Envelopment Analysis in assessing information technology impact on firm
performance. Annals of Operations Research 1997;73:191–213.
[3725] Wang FC, Hung WT, Shang JK. Measuring pure managerial efficiency of international tourist hotels in Taiwan. Service Industries
Journal 2006;26(1):59–71.
[3726] Wang H, Feng J. Bounded DEA model and its applications. Journal of Nanjing University of Science and Technology 1994(4):86.
[3727] Wang J, Guan J. The analysis and evaluation of knowledge efficiency in research groups. Journal of American Society for
Information Science and Technology 2005;56(11):1217–26.
[3728] Wang J, Liu S. Multiple objective DEA projection model for some factors varying in restricted ranges. Journal of Xidian
University 2000;27(1):39–43.
[3729] Wang J, Zhao Y-C. Analyzing and evaluating operating economic benefit of telecom network. Journal of Jilin UniversityInformation Science Edition 2004;22(1):40–73.
[3730] Wang JH, Ngan HW, Engriwan W, Lo KL. Performance based regulation of the electricity supply industry in Hong Kong: an
empirical efficiency analysis approach. Energy Policy 2007;35(1):609–15.
[3731] Wang J-m, Zhang Y, Tao P. Economic benefits evaluation for 600 MW fossil units. East China Electric Power 2006;34(1):41–3.
[3732] Wang K-l, Su Q. Suppliers selection and evaluation using activity-based costing. Computer Integrated Manufacturing Systems
2001;7(7):53–7.
[3733] Wang K-L, He T-S. Study of technical efficiency of international tourist hotels in Taiwan. In: Liu TV, editor. Tourism
management: new research. Nova Publisher; 2006.
[3734] Wang Q, Zhou Z-R. Performance evaluation of public administrative departments by means of benchmarking and DEA. Journal
of Southwest Jiaotong University 2004;39(5):585–9.
[3735] Wang Q-W, Wu Z-K, Liu Z-H. Parameter Data Envelopment Analysis CCR-models and sequencing for all the DMUs. Systems
Engineering and Electronics 2004;26(10):1410–43.
[3736] Wang Q-Y, Zhang B, Cai Q-S. Evaluation of current data mining algorithms. Mini-Micro Systems 2000;21(1):75–8.
[3737] Wang SC, Tsai CC, Huang ST, Hong YJ. Measuring the efficiency of dental departments in medical centers: a nonparametric
analysis approach. Kaohsiung Journal of Medical Sciences 2002;18(12):610–21.
[3738] Wang SH. Comments on operational competitiveness rating analysis (OCRA). European Journal of Operational Research
2006;169(1):329–31.
[3739] Wang S-X, Qu Y, Huang J-M, Sun W-J. Evaluation of organizational structure scenarios based on DEA model. System
Engineering Theory and Practice 2006;26(4):21–6.
[3740] Wang W, Feng Y-J. Analysis on dynamic measuring the progress effectiveness of enterprise leaders’comprehensive action quality.
System Engineering Theory and Practice 2006;26(4):73–7.
[3741] Wang WK. A knowledge-based decision support system for measuring the performance of government real estate investment.
[3742] Wang X. Data Envelopment Analysis approach on the industrial efficiency and scales and its application in Shandong. Journal of
Systems Science and Systems Engineering 1994;3(2):140–7.
114
[3743] Wang X, Peng C. Integrated software for evaluating advanced manufacturing technology investment. In: Proceedings of the
seventh international conference on industrial engineering and engineering management. Publishing House; 2000. p. 102–5.
[3744] Wang X-H, Wang X-F, Zhai A-M, Feng Y-J. Method to resolve DEA model with increasing marginal revenue. Journal of Harbin
Institute of Technology 2004;36(10):1297–300.
[3745] Wang XH, Wang XF, Zhai AM, Feng YJ. A DEA model characterized by increasing marginal revenue. Journal of Shanghai
Jiaotong University 2005;39(3):484–7.
[3746] Wang Y, Feng Y-J. Cone-ratio DEA model based on group decision. Journal of Harbin Institute of Technology
2004;36(10):1285–7.
[3747] Wang Y, LeMay VM, Marshall PL. Relative efficiency and reliability of parametric and nonparametric sequential accuracy testing
plans. Canadian Journal of Forest Research 1996;26(10):1724–30.
[3748] Wang YM, Yang JB. Measuring the performances of decision-making units using interval efficiencies. Journal of Computational
and Applied Mathematics 2007;198(1):253–67.
[3749] Wang Y-M, Luo Y. DEA efficiency assessment using ideal and anti-ideal decision making units. Applied Mathematics and
Computation 2006;173(2):902–15.
[3750] Wang Y-M, Greatbanks R, Yang J-B. Interval efficiency assessment using Data Envelopment Analysis. Fuzzy Sets and Systems
2005;153(3):347–70.
[3751] Wang Y-S, Zhang Y, Chau K-W. An evaluation and analysis of the production efficiency in Hong Kong’s construction industry.
Journal of South China University of Technology 2001;29(5):94–7.
[3752] Wang Z-L, Tian J-H, Qiu L. Data Envelopment Analysis of urban water supply performance. Shuili Xuebao/Journal of Hydraulic
Engineering 2005;36(12):1486–91.
[3753] Ward DR. Measuring the value of product characteristics in the UK monthly savings market. Service Industries Journal
2005;25(7):907–23.
[3754] Ward PT, Storbeck JE, Mangum SL, Byrnes PE. An analysis of staffing efficiency in US manufacturing: 1983 and 1989. Annals of
[3755] Warning S. Performance differences in German higher education: empirical analysis of strategic groups. Review of Industrial
Organization 2004;24(4):393–408.
[3756] Watcharasriroj B, Tang JCS. The effects of size and information technology on hospital efficiency. Journal of High Technology
Management Research 2004;15(1):1.
[3757] Watson GH. The ethics of analysis: how to keep your numbers honest. Quality Progress 2000;33(8):18.
[3758] Waxman HC, Huang SYL, Anderson L, Weinstein T. Classroom process differences in inner-city elementary schools. Journal of
Education Research 1997;91(1):49–59.
[3759] Weber CA, Desai A. Determination of paths to vendor market efficiency using parallel coordinates representation: a negotiation
tool for buyers. European Journal of Operational Research 1996;90(1):142–55.
[3760] Weber CA, Current JR, Desai A. Non-cooperative negotiation strategies for vendor selection. European Journal of Operational
Research 1998;108(1):208–23.
[3761] Weber MM. Using DEA to measure fatality related efficiency in the US trucking industry. In: Proceedings of 33rd annual meeting
of the Decision Sciences Institute, vol. 6. Decision Sciences Institute, 2002.
[3762] Weber WL, Domazlicky B. Productivity growth and pollution in state manufacturing. Review of Economics and Statistics
2001;83(1):195–9.
[3763] Weber WL, Devaney M. Bank efficiency, risk-based capital, and real estate exposure: the credit crunch revisited. Real Estate
Economics 1999;27(1):1–25.
[3764] Weersink A, Turvey CG, Godah A. Decomposition measures of technical efficiency for Ontario dairy farms. Canadian Journal of
[3765] Wei M, Zhenhua H, Wenbin L. Efficiency evaluation of basic research in China. Scientometrics 2006;69(1):85–101.
[3766] Wei Q, Yu G. Analyzing properties of K-cones in the generalized Data Envelopment Analysis model. Journal of Econometrics
1997;80(1):63–84.
[3767] Wei Q, Yan H. Congestion and returns to scale in Data Envelopment Analysis. European Journal of Operational Research
2004;153(3):641–60.
[3768] Wei Q, Chiang W-C. An integral method for the measurement of technological progress and Data Envelopment Analysis. Journal
of Systems Science and Systems Engineering 1996;5(1):75–86.
[3769] Wei Q, Yu G, Lu J. The necessary and sufficient conditions for returns to scale properties in generalized Data Envelopment
Analysis model. Science in China, Series E 2002;45(5):503–17.
[3770] Wei Q, Zhang J, Zhang X. An inverse DEA model for inputs/outputs estimate. European Journal of Operational Research
2000;121(1):151–63.
[3771] Wei QL. The DEA method of evaluating relative efficiency. Beijing, China: People Publisher; 1987.
[3772] Wei QL, Xiao Z. Production functions and the compositive Data Envelopment Analysis model. Journal of Systems Science and
Mathematical Sciences 1991;11.
[3773] Wei QL, Sun B, Xiao ZJ. Measuring technical progress with Data Envelopment Analysis. European Journal of Operational
Research 1995;80(3):691–702.
[3774] Wei QL, Lu G, Yue M. Some identities for sets of efficient decision-making units of Data Envelopment Analysis in composite Data
Envelopment Analysis. Journal of Systems Science and Mathematical Sciences 1989;9.
115
[3775] Wei QL, Yan H, Hao G. Characteristics and structures of weak efficient surfaces of production possibility sets. Journal of
Mathematical Analysis and Applications 2007;327(2):1055–74.
[3776] Wei Y-M, Fan Y, Lu C, Tsai H-T. The assessment of vulnerability to natural disasters in China by using the DEA method.
Environmental Impact Assessment Review 2004;24(4):427–39.
[3777] Wei-Kang W, Hao-Chen H, Mei-Chi L. Measuring the relative efficiency of commercial banks: a comparative study on different
ownership modes in China. Journal of American Academy of Business, Cambridge 2005;7(2):219–23.
[3778] Weill L. Measuring cost efficiency in European banking: a comparison of frontier techniques. Journal of Productivity Analysis
2004;21(2):133–52.
[3779] Weill L. On the consistency of aggregate production frontiers. European Journal of Operational Research 2006;172(1):326–33.
[3780] Weining MAO, Won WK. Productivity growth, technological progress, and efficiency change in Chinese agricultural production
form. Agricultural Production, 1984.
[3781] Wen HJ, Lim B, Huang HL. Measuring E-commerce efficiency: a Data Envelopment Analysis (DEA) approach. Industrial
Management and Data Systems 2003;103(8–9):703–10.
[3782] Wen HJ, Billy Lim JM, JM H, Lisa Huang. Measuring e. commerce efficiency: a Data Envelopment Analysis (DEA) approach.
Industrial Management and Data Systems 2003;103(8/9):703–10.
[3783] West KD, Cho D. The predictive ability of several models of exchange-rate volatility. Journal of Econometrics 1995;6:367–91.
[3784] Westermann G. Data Envelopment Analysis in the service sector. Wiesbaden: Gabler; 1998.
[3785] Westermann G, Schaefer H. Localised technological process and intra-sectoral structures of employment. Economics of Innovation
and New Technology 1998;10:23–43.
[3786] Wheelock DC, Wilson PW. Explaining bank failures: deposit insurance, regulation, and efficiency. Review of Economics and
Statistics 1995;77(4):689–700.
[3787] Wheelock DC, Wilson PW. Technical progress, inefficiency, and productivity change in US banking, 1984–1993. Journal of
Money, Credit and Banking 1999;31(2):212–34.
[3788] Wheelock DC, Wilson PW. Why do banks disappear? The determinants of US bank failures and acquisitions. Review of
Economics and Statistics 2000;82(1):127–38.
[3789] White K, Ozcan Y. Church ownership and hospital efficiency. Hospital and Health Services Administration 1996;4:297–310.
[3790] Whiteman J. Benchmarking developing country electricity systems using Data Envelopment Analysis. Asia-Pacific Economic
Review 1995;1(3):71–8.
[3791] Whiteman J, Bell C. Benchmarking electricity using Data Envelopment Analysis. Economic Papers 1994;13(3):63–73.
[3792] Whiteman J, Pearson K. Benchmarking telecommunications using Data Envelopment Analysis. Economic Papers
1993;12(3):97–105.
[3793] Whittaker G. The relation of farm size and government programme benefits: an application of Data Envelopment Analysis to
policy evaluation. Applied Economics 1994;26(5):469.
[3794] Whittaker G. Application of SWAT in the evaluation of salmon habitat remediation policy. Hydrological Processes
2005;19(3):839–48.
[3795] Widstrom E, Linna M, Niskanen T. Productive efficiency and its determinants in the Finnish public dental service. Community
Dentistry and Oral Epidemiology 2004;32(1):31–40.
[3796] Wier M, Munksgaard J, Christoffersen LB, Jensen TS, Pedersen OG, Keiding H, et al. Environmental performance indices, family
types and consumption patterns. In: Advances in Ecological Sciences, vol. 18. Southampton, UK: WIT Press; 2003. p. 657–67.
[3797] Wier M, Christoffersen LB, Jensen TS, Pedersen OG, Keiding H, Munksgaard J. Evaluating sustainability of household
consumption using DEA to assess environmental performance. Economic Systems Research 2005;17(4):425–47.
[3798] Wilby P. How the education authorities scored in exams. The Independent London 1989;21(April).
[3799] William WC, Deng H, Huang ZM, Li SX. Chnace constrained programming approaches to congestion in stochastic Data
Envelopment Analysis. European Journal of Operational Research 2004;155(2):487–501.
[3800] Wilson J. Editorial: information on the contents of the December 2005 issue. Journal of the Operational Research Society
2005;0:1351.
[3801] Wilson P. Detecting outliers in deterministic nonparametric frontier models with multiple outputs. Journal of Business and
Economic Statistics 1993;1:319–23.
[3802] Wilson PW. Detecting influential observations in Data Envelopment Analysis. Journal of Productivity Analysis 1995;6(1):27–45.
[3803] Wilson PW. Of course we can bootstrap DEA scores! But does it mean anything? Logic trumps wishful thinking. Journal of
[3804] Wilson PW. Some problems with the Ferrier Hirschberg bootstrap IDEA. Journal of Productivity Analysis 1999;11(1):67–80.
[3805] Wilson PW. Testing independence in models of productive efficiency. Journal of Productivity Analysis 2003;20(3):361–90.
[3806] Wingo DR. Maximum likelihood methods for fitting the Burr type XII distribution to multiply (progressively) censored life test
data. Metrika 1993;40:203–10.
[3807] Winter M. The power of coalitions. Human Ecology 2004;31(3):4.
[3808] Wöber KW, Fesenmaier DR. A multi-criteria approach to destination benchmarking: a case study of state tourism advertising
programs in the US. Journal of Travel and Tourism Marketing 2004;16(2/3):1–18.
[3809] Wolffram PM, Haubrich HJ. Assessment of 110 kV networks considering cost-relevant structural parameters. In Proceedings of
2003 IEEE Bologna Powertech, vol. 4. New York: IEEE; 2003. p. 5.
[3810] Womer NK. Data Envelopment Analysis and system selection. Telecommunications Review 1993:107–15.
116
[3811] Womer NK, Shroff HFE, Gulledge TR, Haynes KE. Measuring efficiency with a linear economic model. Applied Economics
2003;35(13):1459–67.
[3812] Womer NK, Bougnol ML, Dula JH, Retzlaff-Roberts D. Benefit-cost analysis using Data Envelopment Analysis. Annals of
[3813] Wong YHB, Beasley JE. Restricting weight flexibility in Data Envelopment Analysis. Journal of the Operational Research Society
1990;41(9):829–35.
[3814] Wonsik S. Applying DEA technique to library evaluation in academic research libraries. Library Trends 2003;51(3):312–32.
[3815] Wonsik S, Kantor PB. Evaluation of digital libraries: a DEA approach. In: Proceedings of the 62nd ASIS annual meeting,
knowledge: creation, organization and use, vol. 36, Information Today, 1999. p. 605–15.
[3816] Woo CK, Horowitz I, Olson A, Horii B, Baskette C. Efficient frontiers for electricity procurement by an LDC with multiple
purchase options. Omega 2006;34(1):70–80.
[3817] Woodbury K, Dollery B. Efficiency measurement in Australian local Government: the case of new South Wales municipal water
services. Review of Policy Research 2004;21(5):615–36.
[3818] Worthington A. Performance indicators and efficiency measurement in public libraries. Australian Economic Review
1999;32(1):31.
[3819] Worthington A, Dollery B. An empirical survey of frontier efficiency measurement techniques in local government. Local
Government Studies 2000;26(2):23–52.
[3820] Worthington AC. Measuring technical efficiency in Australian credit unions. Manchester School 1999;67(2):231–48.
[3821] Worthington AC. Determinants of merger and acquisition activity in Australian cooperative deposit-taking institutions. Journal of
Business Research 2004;57(1):47–57.
[3822] Worthington AC. Frontier efficiency measurement in health care: a review of empirical techniques and selected applications.
Medical Care Research and Review 2004;61(2):135–70.
[3823] Worthington AC, Dollery BE. Measuring efficiency in local government: an analysis of New South Wales municipalities’. Policy
Studies Journal 2001;29(2):232.
[3824] Worthington AC, Dollery BE. Measuring efficiency in local government: an analysis of New South Wales municipalities’ domestic
waste management function. Policy Studies Journal 2001;29(2):232–49.
[3825] Worthington AC, Dollery BE. Incorporating contextual information in public sector efficiency analyses: a comparative study of
NSW local government. Applied Economics 2002;34(4):453–64.
[3826] Worthington AC, Hurley EV. Cost efficiency in Australian general insurers: a non-parametric approach. British Accounting
Review 2002;34(2):89–108.
[3827] Wossink A, Denaux ZS. Environmental and cost efficiency of pesticide use in transgenic and conventional cotton production.
Agricultural Systems 2006;90(1–3):312–28.
[3828] Wu C, Chen X, Yang Y. Research on modeling method of artificial neural network based on DEA. In: Proceedings of the world
congress on intelligent control and automation, vol. 3. Piscataway, USA: Institute of Electrical and Electronics Engineers, Inc.;
2004. p. 2005–8.
[3829] Wu D, Tao J, Ruan S, Liu X. Programming models for efficiency analysis in financial institutions. In: Proceedings of the
international society for optical engineering, Bellingham, WA, USA, 6045 I, 2005. p. 604515.
[3830] Wu D, Liang L, Huang Z, Li SX. Aggregated ration analysis in DEA. International Journal of Information Technology and
Decision 2005;4(3):369–84.
[3831] Wu DS, Yang ZJ, Liang L. Efficiency analysis of cross-region bank branches using fuzzy Data Envelopment Analysis. Applied
[3832] Wu H-P, Xuan G-L. Model for building a value network based on DEA and multiple objective decision making. System
Engineering Theory and Practice 2004;24(6):20.
[3833] Wu H-P, Xuan G-L, Shuai X. Confidence DEA model for L.R-type fuzzy numbers. System Engineering Theory and Practice
2003;23(9):28.
[3834] Wu J, Zuo H, Wang H. Evaluation method for maintenance cost target of new civil aircraft. Journal of Nanjing University of
Aeronautics and Astronautics 2006;38(2):186–91.
[3835] Wu LF, Xiao CZ, Xiao CZ. Comparing manufacturing practices between the People’s Republic of China and countries in Western
Europe. In: International manufacturing Practices workshop, Shanghai, 1990. p. 61–7.
[3836] Wu SX, Devadoss S, Lu YC. Estimation and decomposition of technical efficiency for sugarbeet farms. Applied Economics
2003;35(4):471–84.
[3837] Wu W. Method to make a decision making unit DEA effective and to find out the optimal value of CCR or CCGSS model by the
additive model. System Engineering Theory and Practice 1997;17(10):64–8.
[3838] Wu W. Discussion on the assessed decision making unit in DEA. Journal of Wuhan University of Technology 1998;20(1):92–5.
[3839] Wu W. Discussion on the theorem for identifying the efficient DMUs in DEA. System Engineering Theory and Practice
1999;19(8):42–4.
[3840] Wu W. Theorems on optimal value of DEA model (C.C.G.S.S.) and its application in simplification on forecasting method. System
[3841] Wu WJ. Study on analysis of returns to scale using DEA. System Engineering Theory and Practice 2001;21(9):85.
[3842] Wu W-j. Further discussion on the existence of optimal solution and the sensitivity analysis for CCR model. Journal of Systems
Engineering 2005;20(2):220–4.
117
[3843] Wu WY, Tsai HJ, Cheng KY, Lai MK. Assessment of intellectual capital management in Taiwanese IC design companies: using
DEA and the Malmquist productivity index. R and D Management 2006;36(5):531–45.
[3844] Wu X, Hu S-J, Cui Y-P, Ma Y-J. Study on the evaluation of harmonious development between railway transportation and
economy. Journal of China Railway Society 2005;27(3):20–5.
[3845] Wu Y-Y, He X-J. Evaluation of Beijing sustainable development based on DEA Model. System Engineering Theory and Practice
2006;26(3):117–23.
[3846] Xiang-Sun Z, Jin-Chuan C. A project evaluation system in the state economic information system of China. International
Transactions in Operational Research 1999;6(5):441–52.
[3847] Xiao-Bai L, Reeves GR. A multiple criteria approach to Data Envelopment Analysis. European Journal of Operational Research
1999;115(3):507–17.
[3848] Xiao-lin W, Yun Z, Zhao-bo Q. Research on approach for determining mark-post of logistic system based on the fuzzy set theory.
In: Proceedings international conference on advanced intelligent mechatronics, vol. 2. New York: IEEE; 2005. p. 1071–6.
[3849] Xu D. Productivity growth in the presence of environmental regulations in chinless industry. In: Emrouznejad A, Podinovski V,
[3850] Xu DL, Yang JB, Wang YM. The evidential reasoning approach for multi-attribute decision analysis under interval uncertainty.
[3851] Xu W-X, Liu X-M. A meta-synthesis of evaluating complex systems based on fuzzy set and rough set. In: Proceedings of 2004
international conference on machine learning and cybernetics, vol. 3. New York, USA: IEEE, Inc; 2004. p. 1957–61.
[3852] Xu X-D. DEA model with adjustable preference intensity and its’ application. Journal of Wuhan University of Technology
2005;27(5):86–9.
[3853] Xue M, Harker PT. Note: ranking DMUs with infeasible super-efficiency DEA models. Management Science 2002;48(5):705–10.
[3854] Xue M, Heim GR, Harker PT. Consumer and co-producer roles in e-service: analysing efficiency and effectiveness of e-service
designs. International Journal of Electronic Business 2005;3(2):174–97.
[3855] Xuehao C, Fielding GJ. Measuring transit performance using Data Envelopment Analysis. Transportation Research Part A: Policy
and Practice 1992;26A(3):223–30.
[3856] Xueming L, Donthu N. Advertising may be inefficient irrespective of how the advertising budget was set: a response to Riedesel’s
comment on benchmarking advertising efficiency. Journal of Advertising Research 2002;42(2):94.
[3857] Xueming L, Donthu N. Assessing advertising media spending inefficiencies in generating sales. Journal of Business Research
2005;58(1):28–36.
[3858] Xueming L, Donthu N, Riedesel P. Comment on benchmarking advertising efficiency. Journal of Advertising Research
2002;42(2):93.
[3859] Xueming L, Donthu N, Gardner MP, Krishnamurthy S, Noble S. Book review: an introduction to Data Envelopment Analysis/
new efficiency theory: with applications of data development analysis/quantitative models for performance evaluation and
benchmarking: Data Envelopment Analysis with spreadsheets and DEA excel solver. Journal of Marketing Research
2004;41(3):365–8.
[3860] Yada T, Nakayama T, Ueda T. Efficiency evaluation between branch offices using Data Envelopment Analysis. NTT R and D
1995;44(7):43–8.
[3861] Yahya S, Kingsman B. Vendor rating for an entrepreneur development programme: a case study using the analytic hierarchy
process method. Journal of the Operational Research Society 1999;50(9):916–30.
[3862] Yaisawarng S. Efficiency of local police districts: a New South Wales experience. In: Blank JLT, editor. Public provision and
performance: contributions from efficiency and productivity measurement. Amsterdam: Elsevier; 2000. p. 21.
[3863] Yaisawarng S, Klein JD. The effects of sulfur dioxide controls on productivity change in the US electric power industry. Review of
Economics and Statistics 1994;76(3):447–60.
[3864] Yaisawarng S, Klein JD. The effects of sulfur-dioxide controls on productivity change in the United States electric power industry.
Review of Economics and Statistics 1994;7:447–60.
[3865] Yamada Y, Sueyoshi T. DEA/DR method for DMU classification. Operations Research: Communications of Operations Research
Society of Japan 1995;40(12):696–700.
[3866] Yamada Y, Machida H, Sugiyama M, Arai K. Privatization of Japan national railroad: three DEA time-series approaches. Journal
of Operations Research Society of Japan 1997;40(2):186–205.
[3867] Yamada Y, Sugiyama M, Nukina T, Makino T. DEA for Japanese management: the evaluation of local governmental investments
to the Japanese economy. Journal of Operations Research Society of Japan 1995;38(4):381–97.
[3868] Yamada Y, Matsui T, Sugiyama M. An inefficiency measurement method for management systems. Journal of Operations
Research Society of Japan 1994;3:158–68.
[3869] Yamada Y, Sueyoshi T, Sugiyama M, Nukina T, Makino T. The DEA method for Japanese management: the evaluation of local
governmental investments to the Japanese economy. Journal of Operations Research Society of Japan 1995;38(4):381–97.
[3870] Yamamoto Y, Kondo K, Sasaki JUN. Productivity convergence and rice acreage control programmes in Japan. In: Emrouznejad
A, Podinovski V, editors. Proceedings of DEA2004, Birmingham, UK, 2004. p. 286.
[3871] Yan H, Wei Q, Hao G. DEA models for resource reallocation and production input/output estimation. European Journal of
[3872] Yan L, Gu X, Zhang D. Data envelopment analysis based strategy of assessing schemes for power system black start. In:
Proceedings of the IEEE power engineering society transmission and distribution conference. Piscataway, NJ, USA: Institute of
Electrical and Electronics Engineers, Inc.; 2005. p. 1–5.
118
[3873] Yan X-K, Yang H-D, Wang H-J, Deng F-Q. Research on the decision method for enterprise information investment based on IABP network. In: Lecture notes in computer science, vol. 3610. Heidelberg, Germany: Springer; 2005. p. 1150–9.
[3874] Yan X-K, Yang H-D, Wang H-J, Deng F-Q. Research on the decision method of enterprise information investment based on IABP network. In: Proceedings of 2005 international conference on machine learning and cybernetics, vol. 9. New York: IEEE; 2005.
p. 5590–5.
[3875] Yang C, Lu WM. A macro analysis of Taiwan’s international tourist hotel industry by using the sliding window method. Journal of
[3876] Yang C, Lu W-M. Assessing the performance and finding the benchmarks of the electricity distribution districts of Taiwan power
company. IEEE Transactions on Power Systems 2006;21(2):853–61.
[3877] Yang H. DEA efficiency prediction based on BP net and genetic algorithm. In: Proceedings of the sixth international conference for
young computer scientist. In: Computer science and technology in new century. International Academic Publishers; 2001. p. 334–6.
[3878] Yang JC. The efficiency of SMES in the global market: measuring the Korean performance. Journal of Policy Modeling
2006;28(8):861–76.
[3879] Yang L. DEA efficiency measurement with undesirable outputs: an application to Taiwan’s commercial banks. International
Journal of Services Technology and Management 2005;6(6):544–55.
[3880] Yang Y, Ma C, Zhang D. Data envelopment. Analysis and its application in the benefit analysis of milk cow production.
Transactions of the Chinese Society of Agricultural Engineering 1994;10(1):16.
[3881] Yang Y, Lu G-H, Guo X, Yamamoto R. Greenness assessment of products in PLCA by DEA approach. Materials Transactions
2003;44(4):645–8.
[3882] Yang Y-S. Data Envelopment Analysis (DEA) model with interval gray numbers. International Journal of Information and
Management Sciences 1998;9(4):11–23.
[3883] Yang Z, Paradi JC. DEA evaluation of a Y2k software retrofit program. IEEE Transactions on Engineering Management
2004;51(3):279–87.
[3884] Yan-Kwang C, Hung-Chang L. Multi-criteria design of an X&Macr; control chart. Computers and Industrial Engineering
2004;46(4):877–91.
[3885] Yao C. Ranking efficient units in DEA. Omega 2004;32(3):213–9.
[3886] Yao C, Ali AI. Output–input ratio analysis and DEA frontier. European Journal of Operational Research 2002;142(3):476–9.
[3887] Yao C, Morita H, Zhu J. Multiplier bounds in DEA via strong complementary slackness condition solution. International Journal
of Production Economics 2003;86(1):11–9.
[3888] Yao C, Liang L, Feng Y. A DEA game model approach to supply chain efficiency. Annals of Operations Research 2006;145(1):5.
[3889] Yatchew A. Scale economies in electricity distribution: a semiparametric analysis. Journal of Applied Econometrics
2000;15(2):187–210.
[3890] Ye H, Ren M. Evaluation of the relative efficiency of passenger train operation based on a DEA model. Chinese Journal of Radio
Science 1998;13(2):235–9.
[3891] Yeboon Y, Nakayama H, Tanino T. A generalization of DEA model. Transactions of the Society of Instrument and Control
Engineers 1999;35(8):1113–8.
[3892] Yeboon Y, Nakayama H, Tanino T. A dual approach to generalized Data Envelopment Analysis. Transactions of the Society of
Instrument and Control Engineers 2000;36(9):804–9.
[3893] Yeh Q-J. Application of Data Envelopment Analysis in conjunction with financial ratios for bank performance evaluation. Journal
of the Operational Research Society 1996;47(8):980–8.
[3894] Yeh Q-J, White RK, Ozcan YA. Efficiency evaluation of community-based youth services in Virginia. Community Mental Health
1996;33(6):487–99.
[3895] Yildirim C. Evolution of banking efficiency within an unstable macroeconomic environment: the case of Turkish commercial
banks. Applied Economics 2002;34(18):2289–301.
[3896] Yilmaz S, Dinc M. Telecommunications and regional development: evidence from the US states. Economic Development Quarterly
2002;16(3):211–28.
[3897] Yin M-Y, Wang M-G, Liu S-X. Output-based benchmarking method for performance improvement in supply chain distribution.
Journal of Northeastern University-Natural Science 2003;24(7):624–6.
[3898] Yin M-Y, Wang M-G, Liu S-X. Efficiency-measuring DEA model for DMUs with correlative subsystems. Control and Decision
2004;19(5):510–4.
[3899] Yin R. DEA: a new methodology for evaluating the performance of forest products producers. Forest Products Journal
1998;48(1):29–34.
[3900] Yin R. Production efficiency and cost competitiveness of pulp producers in the Pacific Rim. Forest Products Journal 1999;49(7/
8):43.
[3901] Yin R. Alternative measurements of productive efficiency in the global bleached softwood pulp sector. Forest Science
2000;46(4):558–69.
[3902] Yindong L, Shufan L, Huanwen T, Jixuan L. Study of DEA method for evaluation of multi-objective ship plan. Journal of Dalian
University of Technology 1995;35(6):873–8.
[3903] Yinsheng Y, Benjiang M, Koike M. Efficiency-measuring DEA model for production system: with K independent subsystems.
[3904] Yi-Shan C, Wang WHA, Tam C, Ya-Ting L. Developing a quantitative model to evaluate and compare the performance of
hospital medical technologies in Taiwan. Journal of Chinese Institute of Industrial Engineers 2005;22(5):430–41.
119
[3905] Ylvinger S. Industry performance and structural efficiency measures: solutions to problems in firm models. European Journal of
[3906] Ylvinger S. Light-duty vehicles and external impacts: product- and policy-performance assessment. European Journal of
[3907] Yolalan OR, Lang P. On finite multipler bounds in Data Envelopment Analysis. Transactions on Operational Research
1996;8(1):1–8.
[3908] Yong Kyoon L, Kyung Sam P, Soung Hie K. Identification of inefficiencies in an additive model based IDEA (imprecise Data
Envelopment Analysis). Computer and Operations Research 2002;29(12):1661–76.
[3909] Yonghua Z, Yuliu C. DEA-based performance predictive design of complex dynamic system business process improvement. In:
Proceedings of IEEE international conference on systems, man and cybernetics, vol. 3. New York: IEEE; 2003. p. 3008–13.
[3910] Yoo H. A study on the efficiency evaluation of total quality management activities in Korean companies. Total Quality
Management and Business Excellence 2003;14(1):119–28.
[3911] Yoruk BK, Zaim O. Productivity growth in OECD countries: a comparison with malmquist indices. Journal of Comparative
Economics 2005;33(2):401–20.
[3912] Yoshida Y, Fujimoto H. Japanese-airport benchmarking with the DEA and endogenous-weight TFP methods: testing the criticism
of overinvestment in Japanese regional airports. Transportation Research Part E: Logistics and Transportation Review
2004;40(6):533–46.
[3913] Yoshii K. An analysis of the efficiency of the agricultural mutual relief association and the prefectural federation of the agricultural
mutual relief association of Japan. Operations Research: Communications of Operations Research Society of Japan
1992;37(1):18–24.
[3914] Young ST. Multiple productivity measurement approaches for management. Health Care Management Review 1992;17(2):51–8.
[3915] Yu C. Effects of exogenous variables in efficiency measurement—a Monte Carlo study. European Journal of Operational Research
1998;105(3):569–80.
[3916] Yu G, Wei Q, Brockett P, Zhou L. Construction of all DEA efficient surfaces of the production possibility set under the generalized
Data Envelopment Analysis model. European Journal of Operational Research 1996;95(3):491–510.
[3917] Yu G, Wei QL, Cooper WW. Using displaced cone representation in DEA models for nondominated solutions in multiobjective
programming. Systems Science and Mathematical Sciences 1997;10(1):41–9.
[3918] Yu JR, Tzeng YC, Tzeng GH, Yu TY, Sheu HJ. A fuzzy multiple objective programming to DEA with imprecise data.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 2004;12(5):591–600.
[3919] Yu L, Wang B, Fan Z-J. Analysis on performance evaluation of investment funds. Journal of University of Shanghai for Science
and Technology 2005;27(2):167–71.
[3920] Yu MM. Measuring physical efficiency of domestic airports in Taiwan with undesirable outputs and environmental factors.
Journal of Air Transportation Management 2004;10(5):295–303.
[3921] Yu-cheng C, Ling S, Chih-wei P. Commercial banks’ performance in Taiwan. International Journal of Business and Performance
Management 2005;7(4):7.
[3922] Yue M. Some identities for sets of efficient decision-making units of Data Envelopment Analysis in composite Data Envelopment
Analysis models. Journal of Systems Science and Mathematical Sciences 1989;9.
[3923] Yue M. The Data Envelopment Analysis method for establishing production functions. Mathematics in Practice and Theory 1995.
[3924] Yue P. Data Envelopment Analysis and commercial bank performance: a primer with applications to Missouri banks. Federal
Reserve Bank of St. Louis Economic Review 1992;74(1):31–45.
[3925] Yue P. Data Envelopment Analysis and commercial bank performance: A primer with applications to Missouri banks. Federal
Reserve Bank of St. Louis Review 1992;7:31–45.
[3926] Yue S, Yu Y. Price regulation of electricity distribution market. Automation of Electric Power Systems 2004;28(22):13–8.
[3927] Yuezhou C, Wenjiang W. Synthetic financial evaluation by a method of combining DEA with AHP. International Transactions in
[3928] Yun Y, Nakayama H, Tanino T, Arakawa M. A multiobjective optimization method combining generalized Data Envelopment
Analysis and genetic algorithms. Transactions of the Institute of Systems, Control and Information Engineers 2000;13(4):179–85.
[3929] Yun Y, Arakawa M, Nakayama H. Fitness evaluation using generalized Data Envelopment Analysis in Moga. In: Proceedings of
the 2004 congress on evolutionary computation, vol. 1. New York: IEEE; 2004. p. 464–71.
[3930] Yun Y, Yoon M, Nakayama H. Genetic algorithm for multi-objective optimization using G DEA. In: Lecture notes in computer
science, vol. 3612. Heidelberg, Germany: Springer; 2005. p. 409–16.
[3931] Yun YB, Nakayama H, Arakawa M. Multiple criteria decision making with generalized DEA and an aspiration level method.
[3932] Yun YB, Nakayama H, Tanino T. On efficiency of Data Envelopment Analysis. Lecture Notes in Economic and Mathematics
2000;48:208–17.
[3933] Yun YB, Nakayama H, Tanino T. A generalized model for Data Envelopment Analysis. European Journal of Operational
Research 2004;157(1):87–105.
[3934] Yun YB, Nakayama H, Tanino T, Arakawa M. A multi-objective optimization method combining generalized Data Envelopment
Analysis and genetic algorithms. In: Proceedings of 1999 IEEE, man, and cybernetics, vol. 1. New York: IEEE; 1999. p. 671–6.
[3935] Yun YB, Nakayama H, Tanino T, Arakawa M. Generation of efficient frontiers in multi-objective optimization problems by
generalized Data Envelopment Analysis. European Journal of Operational Research 2001;129(3):586–95.
120
[3936] Yung-ho C, Hsiang-His L. Taiwan Bank’s efficiency and productivity growth in technology environment. Journal of Information
and Optimization Sciences 2002;23(3):513–21.
[3937] Yunos JM, Hawdon D. The efficiency of the national electricity board in Malaysia: an intercountry comparison using DEA.
Energy Economics 1997;19(2):255–69.
[3938] Zaibet L, Dharmapala PS. Efficiency of Government-supported horticulture: the case of Oman. Agricultural Systems
1999;62(3):159–68.
[3939] Zaibet L, Dharmapala PS, Boughanmi H, Magoub O, Al-Marshudi A. Social changes, economic performance and development:
the case of goat production in Oman. Small Ruminant Research 2004;54(1–2):131–40.
[3940] Zaim O. The effect of financial liberalization on the efficiency of Turkish commercial banks. Applied Financial Economics
1995;5:257–64.
[3941] Zaim O. Measuring environmental performance of state manufacturing through changes in pollution intensities: a DEA
framework. Ecological Economics 2004;48(1):37.
[3942] Zaim O, Taskin F. The comparative performance of the public enterprise sector in Turkey: a Malmquist productivity index
approach. Journal of Comparative Economics 1997;25:129–57.
[3943] Zaim O, Taskin F. Environmental efficiency in carbon dioxide emissions in the OECD: a non-parametric approach. Journal of
[3944] Zaim O, Taskin F. Kuznets curve in environmental efficiency: an application on OECD countries. Environmental and Resource
Economics 2000;17(1):21–36.
[3945] Zanakis SH, Alvarez C, Li V. Socio-economic determinants of HIV/AIDS pandemic and nations efficiencies. European Journal of
[3946] Zanakis SH, Mandakovic T, Gupta SK, Sahay SD, Hong SW. A review of program-evaluation and fund allocation methods within
the service and government sectors. Socio-Economic Planning Sciences 1995;2:59–79.
[3947] Zarafat AM, Saati S, Mokhtaran M. An alternative approach to assignment problem with non-homogeneous costs using common
set of weights in DEA. Far East Journal of Applied Mathematics 2003;1:29–39.
[3948] Zarepisheh M, Soleimani-damaneh M, Pourkarimi L. Determination of returns to scale by CCR formulation without chasing
down alternative optimal solutions. Applied Mathematics Letters 2006;19(9):964–7.
[3949] Zavras AI, Tsakos G, Economou C, Kyriopoulos J. Using DEA to evaluate efficiency and formulate policy within a Greek
national primary health care network. Journal of Medical Systems 2002;26(4):285–92.
[3950] Zeitsch J, Lawrence D. Decomposing economic inefficiency in base-load power plants. Journal of Productivity Analysis
1996;7(4):359–98.
[3951] Zelenyuk V. Aggregation of Malmquist productivity indexes. European Journal of Operational Research 2006;174(2):1076–86.
[3952] Zelenyuk V, Zheka V. Corporate governance and firm’s efficiency: the case of a transitional country, Ukraine. Journal of
[3953] Zeng X, Wu Y, Zheng D. Study of stochastic DEA model and its application. System Engineering Theory and Practice
2000;20(6):19–24.
[3954] Zeng Z, Gu P, Zhang M. Application of Data Envelopment Analysis in the evaluation of sustainable development. System
[3955] Zenios CV, Zenios SA, Agathocleous K, Soteriou AC. Benchmarks of the efficiency of bank branches. Interfaces 1999;29(3):37–51.
[3956] Zere E, Mbeeli T, Shangula K, Mandlhate C, Mutirua K, Tjivambi B, et al. Technical efficiency of district hospitals: evidence from
Namibia using Data Envelopment Analysis. Cost Efficiency Resource Allocation 2006;4:5.
[3957] Zhan R, Liu Y, Chen R, Ma S. A model of comparing operation productivity of service unit. Journal of Huazhong University of
Science and Technology 2001;29(1):108–9.
[3958] Zhang AM, Zhang YM, Zhao R. Impact of ownership and competition on the productivity of Chinese enterprises. Journal of
Comparative Economics 2001;29(2):327–46.
[3959] Zhang AM, Zhang YM, Zhao R. Profitability and productivity of Chinese industrial firms—measurement and ownership
implications. China Economic Review 2002;13(1):65–88.
[3960] Zhang F, Chen Z, Xiong L, Mei Y. Research on the harmony of network-based cooperative commerce chain (NCCC) system.
China Mechanical Engineering 2003;14(14):1208–10.
[3961] Zhang H, Wang X-B. Green manufacturing process assessment by DEA method. Binggong Xuebao/Acta Armamentarii
2005;26(4):523–7.
[3962] Zhang M. Synthetic valuation of geographic information engineering based on DEA model. Geomatics and Information Science of
Wuhan University 2004;29(2):100.
[3963] Zhang M-Q, Li G-J, Shang W-J. Fuzzy DEA model based on Campos index. System Engineering Theory and Practice
2004;24(4):41.
[3964] Zhang T, Sun L-Y, Sun H-H. Application of a preference restraint cone DEA model in vendor selection. System Engineering
Theory and Practice 2003;23(3):77.
[3965] Zhang T-F, Yuan J-S, Wang J-T, Guo W. Utilization availability of distribution lines based on Data Envelopment Analysis. Power
System Technology 2006;30(4):97–102.
[3966] Zhang W-D, Yi Y-H. Comparative research on comprehensive evaluation approaches to complex multi-object system. Journal of
Qingdao University 2005;18(4):85–90.
[3967] Zhang WD, Zhang S, Luo XM. Technological progress, inefficiency, and productivity growth in the US securities industry,
1980–2000. Journal of Business Research 2006;59(5):589–94.
121
[3968] Zhang XS, Cui JC. A project evaluation system in the state economic information system of China—an operations research
practice in public sectors. International Transactions in Operational Research 1999;6(5):441–52.
[3969] Zhang Y, Bartels R. The effect of sample size on the mean efficiency in DEA with an application to electricity distribution in
Australia, Sweden and New Zealand. Journal of Productivity Analysis 1998;9(3):205–32.
[3970] Zhang Y, Shen R-F. Demonstration research on evaluating investment value of listed companies by Data Envelopment Analysis.
Journal of Tongji University-Natural Science 2004;32(7):961–5.
[3971] Zhang YQ. The impacts of economic reform on the efficiency of Silviculture: a non-parametric approach. Environment Journal of
Development Economics 2002;7:107–22.
[3972] Zhao K, Cui J-C. Method research and demonstration for assessing and forecasting damage of flood disaster. Journal of Systems
Engineering 2003;18(4):337–42.
[3973] Zhao M, Cheng C, Wu X. Qualitative method and MCDEA applied to plan assessment of diversion project. Water Resources and
Power 2005;23(4):58–60.
[3974] Zhao MY, Cheng CT, Li G. Multiple criteria Data Envelopment Analysis for full ranking units associated to environment impact
assessment. International Journal of Environment and Pollution 2006;28(3-4):448–64.
[3975] Zhao Q, Chen J, Han J-X. Evaluation of distributors using PCA-DEA algorithmic model. Industrial Engineering Journal
2005;8(6):95–8.
[3976] Zheng JH, Liu XX, Bigsten A. Ownership structure and determinants of technical efficiency: an application of Data Envelopment
Analysis to Chinese Enterprises (1986–1990). Journal of Comparative Economics 1998;26(3):465–84.
[3977] Zheng JH, Liu XX, Bigsten A. Efficiency, technical progress, and best practice in Chinese state enterprises (1980–1994). Journal of
Comparative Economics 2003;31(1):134–52.
[3978] Zheng Y, Zhou YQ. Measures of the fishing capacity of Chinese marine fleets and discussion of the methods. Journal of
Oceanography 2005;61(3):623–30.
[3979] Zheng Z, Padmanabhan B, Zheng H. A DEA approach for model combination. In: Proceedings of the tenth international
conference on knowledge discovery and data mining. New York, USA: Association for Computing Machinery; 2004. p. 755–60.
[3980] Zhichai J, Jianping W, McDonald M. The socio-economic impacts assessment of advanced convoy driving on motorway.
[3981] Zhimin H, Li SX. Dominance stochastic models in Data Envelopment Analysis. European Journal of Operational Research
1996;95(2):390–403.
[3982] Zhongtuo W. A computer-based production modeling, simulation and optimization system for Petro-Refinery. In: Proceedings of
third international conference on industrial automation, Int Assoc Ind Autom, 1999. p. 11–15.
[3983] Zhou P, Ang BW, Poh KL. Slacks-based efficiency measures for modeling environmental performance. Ecological Economics
2006;60(1):111–8.
[3984] Zhou P, Poh KL, Ang BW. A non-radial DEA approach to measuring environmental performance. European Journal of
[3985] Zhou S, Chen R. A customer-oriented decision model for selecting cooperation partners in the supply chain. Journal HuazhongCentral China—University of Science and Technology 2001;29(5):38–40.
[3986] Zhou Y, Chen Y. The methodology for business process optimized design. In: Proceedings of IECON (Industrial electronics
conference), vol. 2. Silver Spring, MD: IEEE Computer Society; 2003. p. 1819–24.
[3987] Zhou Y, Chen Y. DEA-based performance predictive design of complex dynamic system-business process improvement. In:
Proceedings of the IEEE international conference on systems, man and cybernetics, vol. 3. IEEE Inc; 2003. p. 3008–13.
[3988] Zhu J. Data Envelopment Analysis with preference structure. Journal of the Operational Research Society 1996;47(1):136–50.
[3989] Zhu J. Robustness of the efficient DMUs in Data Envelopment Analysis. European Journal of Operational Research
1996;90(3):451–60.
[3990] Zhu J. DEA/AR analysis of the 1988–1989 performance of the Nanjing textiles corporation. Annals of Operations Research
1996;66:311–35.
[3991] Zhu J. Data Envelopment Analysis vs. principal component analysis: an illustrative study of economic performance of Chinese
cities. European Journal of Operational Research 1998;111(1):50–61.
[3992] Zhu J. Further discussion on linear production functions and DEA. European Journal of Operational Research 2000;127(3):611–8.
[3993] Zhu J. Multi-factor performance measure model with an application to Fortune 500 companies. European Journal of Operational
Research 2000;123(1):105–24.
[3994] Zhu J. Setting scale efficient targets in DEA via returns to scale estimation method. Journal of the Operational Research Society
2000;51(3):376–8.
[3995] Zhu J. Multidimensional quality-of-life measure with an application to Fortune’s best cities. Socio-Economic Planning Sciences
2001;35(4):263–84.
[3996] Zhu J. Super-efficiency and DEA sensitivity analysis. European Journal of Operational Research 2001;129(2):443–55.
[3997] Zhu J. Quantitative models for performance evaluation and benchmarking: Data Envelopment Analysis with spreadsheets and
DEA excel solver. Dordrecht: Kluwer Academic Publishers; 2002.
[3998] Zhu J. Efficiency evaluation with strong ordinal input and output measures. European Journal of Operational Research
2003;146(3):477–85.
[3999] Zhu J. A buyer–seller game model for selection and negotiation of purchasing bids: extensions and new models. European Journal
122
[4000] Zhu J. Imprecise DEA via standard linear DEA models with a revisit to a Korean mobile telecommunication company. Operations
Research 2004;52(2):323–9.
[4001] Zhu J, Shen Z-H. Discussion of testing DMUs’ returns to scale. European Journal of Operational Research 1995;81(3):590–6.
[4002] Zhu J, Appa G, Yue M. Setting scale efficient targets in DEA via returns to scale estimation method [and reply]. Journal of the
[4003] Zhu J, Seiford LM, Cooper WW. A unified additive model approach for evaluating inefficiency and congestion with associated
measures in DEA. Socio-Economic Planning Sciences 2000;34(1):1–25.
[4004] Zhu J, Seiford LM, Cooper WW. Slacks and congestion: response to a comment by R. Färe and S. Grosskopf. Socio-Economic
[4005] Zhu J-J, Liu S-X, Wang M-G, Huang M. Analyses of vendor selection and order planning. Journal of Northeastern UniversityNatural Science 2003;24(10):956–8.
[4006] Zhu S, Ellinger PN, Shumway CR. The choice of functional form and estimation of banking inefficiency. Applied Economics
Letters 1995;2(10):375–9.
[4007] Zhu T, Juan Z, Yao H. Application of DEA on the comprehensive evaluation for variable speed limits. In: Proceedings of the
international conference on applications of advanced technologies in transportation engineering. Reston, VA, USA: American
Society of Civil Engineers; 2004. p. 621–5.
[4008] Zieschang KD, Lovell CAK. The problem of new and disappearing commodities in the construction of price indexes. In: Charnes
A, Cooper WW, Lewin AY, Seiford LM, editors. Data Envelopment Analysis: theory, methodology, and applications. Dordrecht:
Kluwer; 1994. p. 353–67.
[4009] Zijiang Y. A two-stage DEA model to evaluate the overall performance of Canadian life and health insurance companies.
Mathematical and Computer Modelling 2006;43(7–8):910–9.
[4010] Zofio JL, Prieto AM. Environmental efficiency and regulatory standards: the case of CO2 emissions from OECD industries.
Resource and Energy Economics 2001;23(1):63–83.
[4011] Zofio JL, Prieto AM. Return to dollar, generalized distance function and the fisher productivity index. Spanish Economic Review
2006;8(2):113–38.
[4012] Zofio JL, Lovell CAK. Graph efficiency and productivity measures: an application to US agriculture. Applied Economics
2001;33(11):1433–42.
[4013] Zong X. Approach to estimating the agricultural mechanization contribution rate by two models in the DEA method. Transactions
of the Chinese Society of Agricultural Engineering 2006;22(5):20–3.
[4014] Zou P, Li C-M. Research of group decision support method based on DEA model. Control and Decision 2002;17(6):944–7.
[4015] Zuckerman S, Hadley J, Iezzoni L. Measuring hospital efficiency with frontier cost functions. Journal of Health Economics
1994;13(3):255–80.

- Data Envelopment Analysis: Ali Emrouznejad`s DEA

Transcription

Similar documents

SHINDICO PRE-CON BUILDERS

GEOG Cat Global Services AM08.indd

Inventory Management Savings.key

The MICroMIsT NebulIzer

On the road to green machines…

elco_Ref_Airport_Basel EN 4c RZ.indd

SunMaster ES - Midsummer Wholesale

XTRAMIX: major employer in Abu Dhabi - German