Iida, Jeanne. 1991. U.S. bancorp seeks saving via branch-analysis system. American Banker 156, (195): 3.

Ito, R., T. Namatame, and T. Yamaguchi. 1999. Resource allocation problem based on the DEA model. Journal of the Operations Research Society of Japan 42, : 149.

Itoh, H. 2002. Effeciency changes at major container ports in japan: A window application of data envelopment analysis. Review of Urban & Regional Development Studies 14, : 133.

Jacobs, R. 2001. Alternative methods to examine hospital efficiency: Data envelopment analysis and stochastic frontier analysis. Health Care Management Science 4, : 103.

Jacobs, Rowena, and University of York. Centre for Health,Economics. 2000. Alternative methods to examine hospital efficiency : Data envelopment analysis and stochastic frontier analysis. Discussion paper (university of york. centre for health economics) ; 177. York: Centre for Health Economics University of York.

Jacobs, Rowena, and York University of. 2002. An analysis of cost efficiency in english acute hospitals. York: University of York.

Jaenicke, E. C. 2000. Testing for intermediate outputs in dynamic DEA models: Accounting for soil capital in rotational crop production and productivity measures. Journal of Productivity Analysis 14, : 247.

Jaforullah, M., and J. Whiteman. 1999. Scale efficiency in the new zealand dairy industry: A non-parametric approach. The Australian Journal of Agricultural and Resource Economics 43, : 523.

Jaforullah, Mohammad. 1999. A comparison of production frontier methods using bangladesh handloom textile industry data. University of Otago. Economics Discussion Papers No. 9911, : [1-18].

Jaforullah, Mohammad, and Erandi Premachandra. 2003. Sensitivity of technical efficiency estimates to estimation approaches: An investigation using new zealand dairy industry data. University of Otago. Economics Discussion Papers No. 0306, : 1-22.

Jagannathan, R. 1985. An algorithm for a class of nonconvex programming problems with nonlinear fractional objectives. Management Science 31, (7): 847-851.

Jahanshahloo, G., F. Lotfi, and M. Zohrehbandian. 2005. Notes on sensitivity and stability of the classifications of returns to scale in data envelopment analysis. Journal of Productivity Analysis 23, : 309.

Jahanshahloo, G. R., and M. Afzalinejad. A ranking method based on a full-inefficient frontier. Applied Mathematical ModellingIn Press, Corrected Proof, .

Jahanshahloo, G. R., A. R. Amirteimoori, and S. Kordrostami. 2004. Measuring the multi-component efficiency with shared inputs and outputs in data envelopment analysis. Applied Mathematics and Computation 155, (1): 283.

———. 2004. 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 151, (1): 1.

Jahanshahloo, G. R., and A. A. Foroughi. 2005. Efficiency analysis, generating an efficient extreme point for an MOLP, and some comparisons. Applied Mathematics and Computation 162, (2): 991.

Jahanshahloo, G. R., Lotfi F. Hosseinzadeh, and M. Moradi. 2005. A DEA approach for fair allocation of common revenue. Applied Mathematics and Computation 160, (3): 719.

———. 2004. Sensitivity and stability analysis in DEA with interval data. Applied Mathematics and Computation 156, (2): 463.

———. Sensitivity and stability analysis in DEA with interval data. Applied Mathematics and Computation In Press, Corrected Proof, , http://www.sciencedirect.com/science/article/B6TY8-4B1Y086-1/2/5acdf58444138192e58e59fc81485c84.

Jahanshahloo, G. R., Lotfi F. Hosseinzadeh, N. Shoja, and M. Sanei. 2004. An alternative approach for equitable allocation of shared costs by using DEA. Applied Mathematics and Computation 153, (1): 267.

Jahanshahloo, G. R., Lotfi F. Hosseinzadeh, N. Shoja, and G. Tohidi. 2004. A method for finding efficient DMUs in DEA using 0-1 linear programming. Applied Mathematics and Computation 159, (1): 37.

Jahanshahloo, G. R., Lotfi F. Hosseinzadeh, N. Shoja, G. Tohidi, and S. Razavyan. 2004. Input estimation and identification of extra inputs in inverse DEA models. Applied Mathematics and Computation 156, (2): 427.

———. 2004. The outputs estimation of a DMU according to improvement of its efficiency. Applied Mathematics and Computation 147, (2): 409.

———. 2004. Ranking using l1-norm in data envelopment analysis. Applied Mathematics and Computation 153, (1): 215.

———. The identification of nondominated and efficient paths on a network. Applied Mathematics and Computation In Press, Corrected Proof, .

———. A one-model approach to classification and sensitivity analysis in DEA. Applied Mathematics and Computation In Press, Corrected Proof, .

Jahanshahloo, G. R., Lotfi F. Hosseinzadeh, H. Zhiani Rezai, and F. Rezai Balf. 2005. Using monte carlo method for ranking efficient DMUs. Applied Mathematics and Computation 162, (1): 371.

Jahanshahloo, G. R., Lotfi F. Hosseinzadeh, and M. Zohrehbandian. 2005. Finding the piecewise linear frontier production function in data envelopment analysis. Applied Mathematics and Computation 163, (1): 483.

Jahanshahloo, G. R., and M. Khodabakhshi. 2004. Determining assurance interval for non-archimedean element in the improving outputs model in DEA. Applied Mathematics and Computation 151, (2): 501.

———. 2004. Suitable combination of inputs for improving outputs in DEA with determining input congestion: Considering textile industry of china. Applied Mathematics and Computation 151, (1): 263.

———. 2003. Using input-output orientation model for determining most productive scale size in DEA. Applied Mathematics and Computation 146, (2-3): 849.

Jahanshahloo, G. R., F. Hosseinzadeh Lotfi, N. Shoja, G. Tohidi, and S. Razavyan. Sensitivity of efficiency classifications in the inverse DEA models. Applied Mathematics and Computation In Press, Corrected Proof, .

———. Undesirable inputs and outputs in DEA models. Applied Mathematics and Computation In Press, Corrected Proof, .

Jahanshahloo, G. R., F. Hosseinzadeh Lotfi, and M. Zohrehbandian. Finding the efficiency score and RTS characteristic of DMUs by means of identifying the efficient frontier in DEA. Applied Mathematics and Computation In Press, Corrected Proof, .

Jahanshahloo, G. R., R. Kazemi Matin, and A. Hadi Vencheh. 2004. On return to scale of fully efficient DMUs in data envelopment analysis under interval data. Applied Mathematics and Computation 154, (1): 31.

Jahanshahloo, G. R., R. Kazemi Matin, and A. Hadi Vencheh. 2004. On FDH efficiency analysis with interval data. Applied Mathematics and Computation 159, (1): 47.

Jahanshahloo, G. R., A. Memariani, F. Hosseinzadeh, and N. Shoja. 2005. A feasible interval for weights in data envelopment analysis. Applied Mathematics and Computation 160, (1): 155.

Jahanshahloo, G. R., A. Memariani, F. Hosseinzadeh Lotfi, and H. Z. Rezai. 2005. A note on some of DEA models and finding efficiency and complete ranking using common set of weights. Applied Mathematics and Computation 166, (2): 265.

Jahanshahloo, G. R., L. Pourkarimi, and M. Zarepisheh. Modified MAJ model for ranking decision making units in data envelopment analysis. Applied Mathematics and Computation In Press, Corrected Proof, .

Jahanshahloo, G. R., M. Sanei, Lotfi F. Hosseinzadeh, and N. Shoja. 2004. Using the gradient line for ranking DMUs in DEA. Applied Mathematics and Computation 151, (1): 209.

———. Using the gradient line for ranking DMUs in DEA. Applied Mathematics and Computation In Press, Corrected Proof, , http://www.sciencedirect.com/science/article/B6TY8-492772K-1/2/a5f325dec4e93c02995cd5bdf11c84a7.

Jahanshahloo, G. R., and M. Soleimani-Damaneh. 2005. A note on simulating weights restrictions in DEA: An improvement of thanassoulis and allen's method. Computers & Operations Research 32, (4): 1037.

Jahanshahloo, G. R., M. Soleimani-damaneh, and E. Nasrabadi. 2004. Measure of efficiency in DEA with fuzzy input-output levels: A methodology for assessing, ranking and imposing of weights restrictions. Applied Mathematics and Computation 156, (1): 175.

Jahanshahloo, G. R., M. Soleimani-damaneh, and M. Rostamy-malkhalifeh. An enhanced procedure for estimating returns-to-scale in DEA. Applied Mathematics and Computation In Press, Corrected Proof, .

Jahanshahloo, G. R., A. Hadi Vencheh, A. A. Foroughi, and R. Kazemi Matin. 2004. Inputs/outputs estimation in DEA when some factors are undesirable. Applied Mathematics and Computation 156, (1): 19.

Jahanshahloo, Gholam Reza, and Majid Soleimani-Damaneh. 2004. Estimating returns to scale in data envelopment analysis: A new procedure. Applied Mathematics and Computation 150, (1): 89.

———. Estimating returns to scale in data envelopment analysis: A new procedure. Applied Mathematics and Computation In Press, Corrected Proof, , http://www.sciencedirect.com/science/article/B6TY8-488G951-3/2/a6fa2f8daabb62c38f5583fa0200f01c.

Jamasb, Tooraj, Paul Nillesen, and Michael Pollitt. 2004. Strategic behaviour under regulatory benchmarking. Energy Economics 26, (5): 825.

Jamasb, Tooraj, and Michael G. Pollitt. 2003. International benchmarking and regulation: An application to european electricity distribution utilities. Energy Policy 31, (15): 1609-22.

———. 2001. International benchmarking and yardstick regulation: An application to european electricity utilities. University of Cambridge. Dept. of Applied Economics. Dae Working Paper No. 0115, : 1-54.

Jaska, Patrick V. 1991. Sensitivity for data envelopment analysis with an application to texas agricultural production.Ph. D. dissertation, University of Texas.

Jayasinghe, Milan John Chrysustom. 2002. Political economy, cost and efficiency aspects of market-based regulation the case of tradeable permits under the clean air act amendments of 1990.

Jemric, Igor, and Boris Vujcic. 2002. Efficiency of banks in croatia: A DEA approach. Croatian National Bank. Working Papers No. W-7, : 1-22.

———. 2002. Efficiency of banks in croatia: A DEA approach. Comparative Economic Studies 44, (2-3): 169-93.

Jenkins, Larry, and Murray Anderson. 2003. A multivariate statistical approach to reducing the number of variables in data envelopment analysis. European Journal of Operational Research 147, (1): 51.

Jennergren, L. Peter, and Børge Obel. 1985. It there is something rotten in the state of denmark, we will find it with data envelopment analysis : Research efficiency of business administration and economics university departments. Skrifter fra institut for virksomhedsledelse / odense universitet, 1985:7. Odense: Odense universitet.

Jesson, David. 1988. School effectiveness and efficiency. In Quality in schools., 5-13National Foundation for Educational Research.

Jesson, David, and David Mayston. 1989. Measuring performance in authorities and schools. In Education and training U.K., 12-21. Newbury, Berkshire, U.K.: Policy Journals.

Jesson, David, David Mayston, and Carol Taylor Fitz-Gibbon. 1989. Information, accountability and educational performance indicators. In Performance indicators - a dialogue., 77-87. Clevedon, Avon, England: Bank House.

Jesson, David, David Mayston, and Peter Smith. 1987. Performance assessment in the education sector: Educational and economic perspectives. Oxford Review of Education 13, (3): 249-266.

Jha, R., P. Chitkara, and S. Gupta. 2000. Productivity, technical and allocative efficiency and farm size in wheat farming in india: A DEA approach. Applied Economics Letters 7, : 1.

Jian, Liu, and Yu De-jie. 2004. Evaluation of plant maintenance based on data envelopment analysis. Journal of Quality in Maintenance Engineering 10, : 203.

Jiancheng, G., and W. Junxia. 2004. Evaluation and interpretation of knowledge production efficiency. Scientometrics 59, : 131.

Jitsuzumi, Toshiya, and Akihiro Nakamura. 2003. Measuring DEA efficiency in cable television network facilities: What are appropriate criteria for determining the amounts of governmental subsidies? Socio-Economic Planning Sciences 37, (1): 29.

Johnes, G., J. Johnes, and University of Lancaster Department of,Economics. 1990. Measuring the performance of UK economics departments : An application of data envelopment analysis.

Johnes, Geraint. 1998. The costs of multi-product organizations and the heuristic evaluation of industrial structure. Socio-Economic Planning Sciences 32, (3): 199.

———. 1995. Scale and technical efficiency in the production of economic research. Applied Economic Letters 2, : 7-11.

Johnes, Geraint, and Jill Johnes. 1993. Measuring the research performance of UK economics departments: An application of data envelopment analysis. Oxford Economic Papers 45, : 332-47.

Johnes, J. 1996. Performance assessment in higher-education in britain. European Journal of Operational Research 89, (1): 18-33.

Johnes, Jill. Measuring teaching efficiency in higher education: An application of data envelopment analysis to economics graduates from UK universities 1993. European Journal of Operational Research In Press, Corrected Proof, .

Johnes, Jill, and Geraint Johnes. 1995. Research funding and performance in U.K. university departments of economics: A frontier analysis. Economics of Education Review 14, (3): 301.

Johns, Nick. 1996. Productivity management in hospitality and tourism. New York: Cassell.

Johnson, Ronald W., Arie Y. Lewin, and Trudi Miller. 1984. Management and accountability models of public sector performance. In Public sector performance, A conceptual turning point., 224-250John Hopkins Press.

Johnson, Sharon A., and Joe Zhu. 2003. Identifying "best" applicants in recruiting using data envelopment analysis. Socio-Economic Planning Sciences 37, (2): 125.

Johnson, Steven Lee. 1995. Organizational structure and the performance of contract training operations in american community colleges.Ph.D. dissertation, The University of Texas at Austin; 0227.

Johnston, Holly Hanson. 1990. Empirical studies in management accounting: Three essays on the U.S. airline industry, 1981-1985.Ph. D. dissertation, Carnegie-Mellon University.

Johnston, Katharine, and Karen Gerard. 2001. Assessing efficiency in the UK breast screening programme: Does size of screening unit make a difference? Health Policy 56, (1): 21.

Joro, T. 1997. A value efficiency approach to incorporation preference information in data envelopment analysis.

Joro, T., Pekka Korhonen, and J. Wallenius. 1998. Structural comparison of data envelopment analysis and multiple objective linear programming. Management Science 44, (7): 962-970.

Joro, Tarja. 2000. Incorporating preference information in data envelopment analysis. Helsinki: School of Economics and Business Administration.

Joro, Tarja, Pekka Korhonen, and Jyrki Wallenius. 1995. Structural comparison of data envelopment analysis and multiple objective linear programming. Working papers / helsingin kauppakorkeakoulu. W, 144. Helsinki: Helsinki School of Economics and Business Administration.

Joro, Tarja, Pekka Korhonen, and Stanley Zionts. 2003. An interactive approach to improve estimates of value efficiency in data envelopment analysis. European Journal of Operational Research 149, (3): 688.

Joro, Tarja, Pekka Korhonen, Stanley Zionts, and kauppakorkeakoulu Helsingin. 2002. An interactive approach to improve estimates of value efficiency in data envelopment analysis. Working papers / helsinki school of economics and business administration ; W-333. Helsinki: Helsingin Kauppakorkeakoulu.

———. 2000. An interactive approach to improve estimates of value efficiency in data envelopment analysis. Working papers / helsinki school of economics and business administration ; W-240. Helsinki: Helsingin Kauppakorkeakoulu.

Joseph, D. A., R. P. Cerveny, and Edwardo L. Rhodes. 1983. Application architecture and technologic efficiency : A comparative study of computerized bank transaction systems.

Joumady, Othman, and Catherine Ris. 2005. Performance in european higher education: A non-parametric production frontier approach. Education Economics 13, : 189.

Juan, Zhichai, Jianping Wu, and Mike McDonald. 2003. The socio-economic impacts assessment of advanced convoy driving on motorway. Transportation Research Part A: Policy and Practice 37, (9): 731.

Jun, Zhicai, Junwu Jin, and Jingxing Wang. 1994. Data envelopment analysis (DEA) method and transport enterprise technique and scale effectiveness.

Junoy, J. P. 1997. Measuring technical efficiency of output quality in intensive care units. International Journal of Health Care Quality Assurance 10, : 117.

Justinger, Maryann E. Schwab. 1986. An efficiency analysis of services for adult students at community colleges.Ed. D. dissertation, State University of New York.

Kahraman, C., and E. Tolga. 1998. Data envelopment analysis using fuzzy concept.

Kalaba, R., and L. Tesfatsion. 1996. A multicriteria approach to model specification and estimation. Computational Statistics & Data Analysis 21, (2): 193-214.

Kalita, J. K., and G. R. Iyer. 1995. Effects of multicollinearity in data envelopment analysis (DEA) models of product market efficiency.

Kallio, M., and M. Kallio. 2002. Nonparametric methods for evaluating economic efficiency and imperfect competition. Journal of Productivity Analysis 18, : 171.

Kamakura, W. A., T. Lenartowicz, and B. T. Ratchford. 1996. Productivity assessment of multiple retail outlets. Journal of Retailing 72, (4): 333-356.

Kamakura, Wagner A. 1988. A note on the use of categorical variables in data envelopment analysis. Management Science 34, (10): 1273-1276.

Kamakura, Wagner A., Brian T. Ratchford, and Jagdish Agrawal. 1988. Measuring market efficiency and welfare loss. Journal of Consumer Research 15, (3).

Kanelopoulos, D. G. 1992. Evaluation of a clinic's productivity using the linear ProgrammingTechnique (application of the data envelopment analysis).

Kantor, Jeffrey, and Shlomo Maital. 1999. Measuring efficiency by product group: Integrating DEA with activity-based accounting in a large mideast bank. Interfaces. 29, (3): 27-36.

Kao, C. 2000. Data envelopment analysis in resource allocation: An application to forest management. International Journal of Systems Science 31, : 1059.

———. 2000. Measuring the performance improvement of taiwan forests after reorganization. Forest Science 46, : 577.

———. 2000. Short-run and long-run efficiency measures for multiplant firms. Annals of Operations Research 97, : 379.

———. 1998. Measuring the efficiency of forest districts with multiple working circles. Journal of the Operational Research Society 49, : 583.

———. 1995. Some properties of pareto efficiency under the framework of data envelopment analysis.