A cyber-Bibliography for Data Envelopment Analysis (1978--2005)



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Journal of the Operational Research Society 47, (10): 1273-1279.

Molinero, C. Mar, and P. F. Tsai. 1997. Some mathematical properties of a DEA model for the joint determination of efficiencies. Journal of Operational Research Society 48, (1): 51-56.

Moon, Tae Hee, and So Young Sohn. Intelligent approach for effective management of governmental funds for small and medium enterprises. Expert Systems with Applications In Press, Corrected Proof, .

Morey, Matthew R., and Richard C. Morey. 1999. Mutual fund performance appraisals: A multi-horizon perspective with endogenous benchmarking. Omega 27, (2): 241.

Morey, R. C., and D. A. Dittman. 1996. Cost pass-through reimbursement to hospitals and their impacts on operating efficiencies. Annals of Operations Research 67, : 117-139.

Morey, R. C., D. J. Fine, S. W. Loree, D. L. Retzlaff-Roberts, and S. Tsubakitani. 1992. The trade-off between hospital cost and quality of care - an exploratory empirical-analysis. Medical Care 30, (8): 677-698.

Morey, R. C., Y. A. Ozcan, D. L. Retzlaff-Roberts, and D. J. Fine. 1995. Estimating the hospital-wide cost differentials warranted for teaching hospitals - an alternative to regression approaches. Medical Care 33, (5): 531-552.

Morey, R. C., D. L. Retzlaff-Roberts, and D. J. Fine. 1994. Getting something for nothing: Estimating service level improvements possible in hospitals. International Transactions in Operational Research 1, : 285.

Morey, Richard C. 1992. Data envelopment analysis -- the assessment of performance : Wiley, chichester, 1991, 262 + xiii pages, [UK pound]29.95, ISBN 0-471-92835-6. European Journal of Operational Research 62, (2): 257.

———. 1992. Data envelopment analysis: The assessment of performance by norman and stoker (book review). European Journal of Operational Research 62, (2): 257.

———. 1991. The impact of changes in the delayed-entry program policy on navy recruiting cost. Interfaces 21, (4): 79-91.

Morey, Richard C., Robert Capettini, and David A. Dittman. 1985. Pareto rate setting strategies: An application to medicaid drug reimbursement. Policy Sciences 18, (2): 169-200.

Morey, Richard C., D. J. Fine, and S. W. Loree. 1990. Comparing the allocative efficiencies of hospitals. Omega-International Journal of Management Science 18, (1): 71-83.

Morita, H. 2003. Analysis of economies of scope by data envelopment analysis: Comparison of efficient frontiers. International Transactions in Operational Research 10, : 393.

Morita, H., S. Fujii, and T. Kajihara. 1995. Stochastic variations in data envelopment analysis. Singapore; New Jersey.

Morita, H., and S. Nose. 1994. Fuzzy categorical variables in data envelopment analysis. Kyoto.

Morita, Hiroshi, Koichiro Hirokawa, and Joe Zhu. 2005. A slack-based measure of efficiency in context-dependent data envelopment analysis. Omega 33, (4): 357.

Morita, Hiroshi, Toshinobu Kawasaki, and Susumu Fujii. 1996. Two-objective set division problem and its application to production cell assignment.

Morita, Hiroshi, and Lawrence M. Seiford. 1999. Characteristics on stochastic DEA efficiency - reliability and probability of being efficient. Journal of Operations Research Society of Japan 42, (2): 389-404.

Moser, Michele. 1996. An examination of school level resource allocation and the school level budget process in rochester, new york.Ph.D. dissertation, New York University; 0146.

Mosheim, Roberto. 2002. Organizational type and efficiency in the costa rican coffee processing sector. Journal of Comparative Economics 30, (2): 296-316.

Mota, S., J. H. Benzecry, and R. Y. Qassim. 1999. A model for the application of data envelopment analysis (DEA) in activity-based management (ABM). International Journal of Technology Management (= Journal International De La Gestion Technologique) 17, (7-8): 861-868.

Mourdoukoutas, Pavlos A. 1994. Technical efficiency and hospital costs.Ph. D. dissertation, The University of Connecticut.

Moutray, Chad Michael. 1996. Assessing the performance of market-based education reforms (school choice, public education, site based management).Ph.D. dissertation, Southern Illinois University at Carbondale; 0209.

Mukherjee, A., P. Nath, and M. N. Pal. 2002. Performance benchmarking and strategic homogeneity of indian banks. The International Journal of Bank Marketing 20, : 122.

Mukherjee, Joya. 1997. Productivity and measurement issues: An application to brazilian agriculture.Ph.D. dissertation, Rice University; 0187.

Mukherjee, Kankana. 1997. A nonparametric analysis of efficiency and productivity in large united states banks (deregulation).Ph.D. dissertation, The University of Connecticut; 0056.

Mukherjee, Kankana, Subhash C. Ray, and Stephen M. Miller. 2001. Productivity growth in large US commercial banks: The initial post-deregulation experience. Journal of Banking & Finance 25, (5): 913.

Munisamy-Doraisamy, Susila, and Warwick University of. 2004. Benchmarking the performance of UK electricity distribution network operators : A study of quality, efficiency and productivity using data envelopment analysis. Coventry: University of Warwick.

Muniz, M. A. 2002. Separating managerial inefficiency and external conditions in data envelopment analysis. European Journal of Operational Research 143, (3): 625.

Muniz, Manuel, Joseph Paradi, John Ruggiero, and Zijiang Yang. Evaluating alternative DEA models used to control for non-discretionary inputs. Computers & Operations Research In Press, Corrected Proof, .

Munksgaard, Jesper, Lise-Lotte Pade, and Peter Fristrup. 2005. Efficiency gains in danish district heating. is there anything to learn from benchmarking? Energy Policy 33, (15): 1986.

Munksgaard, Jesper, Mette Wier, Manfred Lenzen, and Christopher Dey. 2005. Using input-output analysis to measure the environmental pressure of consumption at different spatial levels. Journal of Industrial Ecology 9, : 169.

Murphy, David James,Jr. 1992. Purchasing performance evaluation: A data envelopment analysis approach.Ph. D. dissertation, Arizona State University.

Murphy, David J., John N. Pearson, and Sue P. Siferd. 1996. Evaluating performance of the purchasing department using data envelopment analysis. Journal of Business Logistics. 17, (2): 77-91.

Murthi, B. P. S., Yoon K. Choi, and Preyas Desai. 1997. Efficiency of mutual funds and portfolio performance measurement: A non-parametric approach. European Journal of Operational Research 98, (2): 408.

Murthi, B. P. S., K. Srinivasan, and G. Kalyanaram. 1996. Controlling for observed and unobserved managerial skills in determining first-mover market share advantages. Journal of Marketing Research 33, (3): 329-336.

Nachtegael, Mike, and José-Luis Verdegay. 2003. Fuzzy sets based heuristics for optimization. Studies in fuzziness and soft computing ; v. 126. Berlin ; New York: Springer.

Nag, Barnali. Estimation of carbon baselines for power generation in india: The supply side approach. Energy Policy In Press, Corrected Proof, .

Nagel, Stuart S. 1999. Policy analysis methods. Commack, N.Y.: Nova Science Publishers.

Nakabayashi, Ken, and Kaoru Tone. Egoist's dilemma: A DEA game. Omega In Press, Corrected Proof, .

Nakanishi, Yuko J., and John C. Falcocchio. 2004. PERFORMANCE ASSESSMENT OF INTELLIGENT TRANSPORTATION SYSTEMS USING DATA ENVELOPMENT ANALYSIS. In Research in transportation economics. Vol. Volume 8, 181JAI.

Narasimhan, Ram, Srinivas Talluri, and Ajay Das. 2004. Exploring flexibility and execution competencies of manufacturing firms. Journal of Operations Management 22, (1): 91.

Narasimhan, Ram, Srinivas Talluri, Joseph Sarkis, and Anthony Ross. 2005. Efficient service location design in government services: A decision support system framework. Journal of Operations Management 23, (2): 163.

Nash, Debbie, and Alicia Sterna-Karwat. 1996. An application of DEA to measure branch cross selling efficiency. Computers & Operations Research 23, (4): 385-392.

Nasierowski, W., and F. J. Arcelus. 2003. On the efficiency of national innovation systems. Socio-Economic Planning Sciences 37, (3): 215.

Nassal, Michael. 1992. Conserved cysteines of the hepatitis B virus core protein are not required for assembly of replication-competent core particles nor for their envelopment. Virology 190, (1): 499.

Nathanson, B. H., T. L. Higgins, R. J. Giglio, I. A. Munshi, and J. S. Steingrub. 2003. An exploratory study using data envelopment analysis to assess neurotrauma patients in the intensive care unit. Health Care Management Science 6, : 43.

Nathanson, Brian Harris. 2001. Modeling critically ill patients with data envelopment analysis.

———. 1998. A data envelopment analysis based summary statistic with applications toward critical care medicine.

National Research Council (U.S.). Transportation Research Board., and National Research Council (U.S.). Transportation Research Board. Meeting,. 2004. Transit : Intermodal transfer facilities, rail transit, commuter rail, light rail, ferry, and major activity center circulation systems. Washington, D.C.: Transportation Research Board.

Navarro, J. L., and J. A. Camacho. 2001. Productivity of the service sector: A regional perspective. The Service Industries Journal 21, : 123.

Neal, P. 2004. X-efficiency and productivity change in australian banking. Australian Economic Papers 43, : 174.

Neal, P. V., Y. A. Ozcan, and Y. Ma. 2002. Benchmarking mechanical ventilation services in teaching hospitals. Journal of Medical Systems 26, : 227.

Neill, L. 1998. Multifactor efficiency in data envelopment analysis with an application to urban hospitals. Health Care Management Science 1, : 19.

Neill, Liam, and Franklin Dexter. 2004. Market capture of inpatient perioperative services using DEA. Health Care Management Science 7, : 263.

Nemoto, J., and M. Goto. 2003. Measurement of dynamic efficiency in production: An application of data envelopment analysis to japanese electric utilities. Journal of Productivity Analysis 19, : 191.

Nemoto, Jiro, and Mika Goto. 1999. Dynamic data envelopment analysis: Modeling intertemporal behavior of a firm in the presence of productive inefficiencies. Economics Letters 64, (1): 51.

Neralic, Luka. 1998. Sensitivity analysis in models of data envelopment analysis. Mathematical Communications (of Croatian Mathematical Society) 3, : 41-59.

———. 1996. Sensitivity analysis of the additive model in data envelopment analysis II. Zagreb.

———. 1994. Sensitivity analysis in data envelopment analysis: A review. Portoroz.

———. 1992. Sensitivity analysis of the porportionate change of outputs or/and inputs of the additive model in data envelopment analysis. Zagreb.

Neralic, Luka, and T. Sexton. 1996. Sensitivity analysis in data envelopment analysis for the case of different coefficients of proportionality.

Neralic, Luka, and Zoran Sikora. 1999. An application of sensitivity analysis in data envelopment analysis. Zagreb.

Neralic, Luka, and R. E. Wendell. 2004. Sensitivity in data envelopment analysis using an approximate inverse matrix. Journal of the Operational Research Society 55, : 1187.

Nesher, Ariela. 1981. The effects of public services provision on the quality of urban life.Ph. D. dissertation, University of Pennsylvania.

Ng, Y. C., and M. K. Chang. 2003. Impact of computerization on firm performance: A case of shanghai manufacturing enterprises. Journal of the Operational Research Society 54, : 1029.

Ng, Y. C., and S. K. Li. 2000. Measuring the research performance of chinese higher education institutions: An application of data envelopment analysis. Education Economics 8, : 139.

Nghiem, Hong Son, and Tim Coelli. 2002. The effect of incentive reforms upon productivity: Evidence from the vietnamese rice industry. Journal of Development Studies 39, (1): 74-93.

Niemitalo, J. 1998. Data envelopment analysis (DEA) as a method of evaluating libraries: A case study of finnish academic libraries. Newcastle.

Nihon Kaihatsu Ginkåo., . 2003. Decline in productivity in japan and disparities between firms in the 1990s : An empirical approach based on data envelopment analysis. Development bank of japan research report, no. 38. Tokyo: Economic & Industrial Research Department The Japan Development Bank.

Nillesen, Paul H. L., and Michael G. Pollitt. 2001. Becoming a best-practice company: The FPL story revisited. The Electricity Journal 14, (9): 96.

Noguchi, Hiroshi, Masaru Ogawa, and Hiroaki Ishii. 2002. The appropriate total ranking method using DEA for multiple categorized purposes. Journal of Computational and Applied Mathematics 146, (1): 155.

Nolan, J. F. 1996. Determinants of productive efficiency in urban transit. Logistics and Transportation Review 32, (3): 319-342.

Nolan, J. F., P. C. Ritchie, and J. E. Rowcroft. 2002. Identifying and measuring public policy goals: ISTEA and the US bus transit industry. Journal of Economic Behavior & Organization 48, (3): 291.

Nolan, J. F., P. C. Ritchie, and J. R. Rowcroft. 2001. Measuring efficiency in the public sector using nonparametric frontier estimators: A study of transit agencies in the USA. Applied Economics 33, (7): 913-22.

Nold Hughes, Patricia A., and Mary E. Edwards. 2000. Leviathan vs. lilliputian: A data envelopment analysis of government efficiency. Journal of Regional Science 40, (4): 649-69.

Norman, Michael, and Barry Stoker. 1991. Data envelopment analysis: The assessment of performance. Chichester, England: John Wiley.

Norton, Rob. 1994. Economics for managers: Which offices or stores really perform best? A new tool tells. Fortune: 38.

Noulas, A. G. 2001. Deregulation and operating efficiency: The case of the greek banks. Managerial Finance 27, : 35.

Noulas, Athanasios G. 1997. Productivity growth in the hellenic banking industry: State versus private banks. Applied Financial Economics 7, : 223-8.

Noulas, Athanasios G., and Kusum W. Ketkar. 1998. Efficient utilization of resources in public schools: A case study of new jersey. Applied Economics 30, : 1299-306.

———. 1996. Technical and scale efficiency in the indian banking sector. International Journal of Development Banking 14, : 19-27.

Nozick, L. K., H. Borderas, and A. H. Meyburg. 1998. Evaluation of travel demand measures and programs: A data envelopment analysis approach. Transportation Research Part A-Policy and Practice 32, (5): 331-343.

Nunamaker, Thomas R. 1988. Using data envelopment analysis to measure the efficiency of non-profit organizations: A critical evaluation--reply. Managerial and Decision Economics 9, (3): 255-256.

———. 1985. Using data envelopment analysis to measure the efficiency of non-profit organizations: A critical evaluation. Managerial and Decision Economics 6, (1): 50-58.

———. 1983. Measuring routine nursing service efficiency: A comparison of cost per patient day and data envelopment analysis models. Health Services Research 18, (2, part 1): 183-205.

Nunamaker, Thomas Ray. 1983. Efficiency measurement and medicare reimbursement in nonprofit hospitals: An investigation of the usefulness of data envelopment analysis.Ph. D. dissertation, Graduate School of Business, University of Wisconsin.

Nyhan, Ronald C., and Lawrence L. Martin. 1999. Comparative performance measurement: A primer on data envelopment analysis. Public Productivity & Management Review.: 348.

Nyman, John A., and Dennis L. Bricker. 1989. Profit incentives and technical efficiency in the production of nursing home care. Review of Economics and Statistics 71, (4): 586-594.

Nyman, John A., Dennis L. Bricker, and David Link. 1990. Technical efficiency in nursing homes. Medical Care 28, (6): 541-551.

Nyrud, A. Q., and S. Baardsen. 2003. Production efficiency and productivity growth in norwegian sawmilling. Forest Science 49, : 89.

Obata, Tsuneshi, and Hiroaki Ishii. 2003. A method for discriminating efficient candidates with ranked voting data. European Journal of Operational Research 151, (1): 233.

Obeng, Kofi, A. H. M. Golam Azam, and R. Sakano. 1997. Modeling economic inefficiency caused by public transit subsidies. Westport, Conn.: Praeger.

Odeck, J. 1996. Evaluating efficiency of rock blasting using data-envelopment analysis. Journal of Transportation Engineering-Asce 122, (1): 41-49.

Odeck, J., and A. Alkadi. 2001. Evaluating efficiency in the norwegian bus industry using data envelopment analysis. Transportation 28, : 211.

Odeck, J., and L. Hjalmarsson. 1996. The performance of trucks - an evaluation using data envelopment analysis. Transportation Planning and Technology 20, (1): 49-66.

Odeck, James. 2000. Assessing the relative efficiency and productivity growth of vehicle inspection services: An application of DEA and malmquist indices. European Journal of Operational Research 126, (3): 501.

———. Congestion, ownership, region of operation, and scale: Their impact on bus operator performance in norway. Socio-Economic Planning Sciences In Press, Corrected Proof, .

———. Identifying traffic safety best practice: An application of DEA and malmquist indices. Omega In Press, Corrected Proof, .

Odeck, James Oyugi. 1993. Measuring productivity growth and efficiency with data envelopment analysis: An application on the norwegian road sector.Ph. D. dissertation, Department of Economics, University of Goteborg, Viktoriagatan 30, S-411 25 Goteborg, Sweden.

O'Donnell, C. J., and G. Van der Westhuizen. 2002. Regional comparisons of banking performance in south africa. South African Journal of Economics 70, (3): 485-518.

O'Hora-Weir, M. Eileen. 1998. Technical efficiency of hawaii's public high schools (public education).Ph.D. dissertation, University of Hawaii; 0085.

Olatubi, Williams O., and David E. Dismukes. 2000. A data envelopment analysis of the levels and determinants of coal-fired electric power generation performance. Utilities Policy 9, (2): 47.

Olesen, Ole Bent, Niels Christian Petersen, and Lovell, C. A. Knox. 1996. Special issue on efficiency and frontier analysis: Proceedings of a research workshop on state-of-the-art and future research in efficiency analysis. Journal of Productivity Analysis 7, (2/3).

Olesen, O. B. 1995. Some unsolved problems in data envelopment analysis - a survey. International Journal of Production Economics 39, (1-2): 5-36.

Olesen, O. B., and N. C. Petersen. 2002. The use of data envelopment analysis with probabilistic assurance regions for measuring hospital efficiency. Journal of Productivity Analysis 17, : 83.

———. 1999. Probabilistic bounds on the virtual multipliers in data envelopment analysis: Polyhedral cone constraints. Journal of Productivity Analysis 12, : 103.

———. 1996. Indicators of ill-conditioned data sets and model misspecification in data envelopment analysis: An extended facet approach. Management Science 42, (2): 205-219.

———. 1996. A presentation of gams for DEA.
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