References
- Akanksha, G.; Sanjiv, M. 2010. Measuring retail productivity of food & grocery retail outlets using the DEA technique, Journal of Strategic Marketing 18(4): 277–289. http://dx.doi.org/10.1080/09652540903537055
- Assaf, A.; Matawie, K. M. 2010. Improving the accuracy of DEA efficiency analysis: a bootstrap application to the health care foodservice industry, Applied Economics 42(27): 3547–3558. http://dx.doi.org/10.1080/00036840802112497
- Banker, R. D.; Charnes, A.; Cooper, W. W. 1984. Some models for estimating technical and scale inefficiencies in data envelopment analysis, Management Science 30(9): 1078–1092. http://dx.doi.org/10.1287/mnsc.30.9.1078
- Bowlin, W. F. 1998. Measuring performance: an introduction to data envelopment analysis (DEA), Journal of Cost Analysis 7: 3–27. http://dx.doi.org/10.1080/08823871.1998.10462318
- Caves, D. W.; Christensen, L. R.; Diewert, W. E. 1982. The economic theory of index numbers of the measurement of input, output and productivity, Econometrica 50(6): 1393–1414. http://dx.doi.org/10.2307/1913388
- Chang, S. Y.; Chen, T. H. 2008. Performance ranking of Asian lead frame firms: a slack-based method in data envelopment analysis, International Journal of Production Research 46(14): 3875–3885. http://dx.doi.org/10.1080/00207540701197044
- Charnes, A.; Cooper, W. W.; Rhodes, E. 1978. Measuring the efficiency of decision making units, European Journal of Operational Research 2(6): 429–444. http://dx.doi.org/10.1016/0377-2217(78)90138-8
- Chen, Y. 2003. A non-radial Malmquist productivity index with an illustrative application to Chinese major industries, International Journal Production Economies 83(1): 27–35. http://dx.doi.org/10.1016/S0925-5273(02)00267-0
- Dyson, R. G.; Allen, R.; Camanho, A. S.; Podinovski, V. V.; Sarrico, C. S.; Shale, E. A. 2001. Pitfalls and protocols in DEA, European Journal of Operational Research 132: 245–259. http://dx.doi.org/10.1016/S0377-2217(00)00149-1
- Efron, B. 1979. Bootstrap methods: another look at the jackknife, Annals of Statistics 7: 1–26. http://dx.doi.org/10.1214/aos/1176344552
- Efron, B.; Tibshirani, R. J. 1993. An introduction to the Bootstrap. London: Chapman and Hall. http://dx.doi.org/10.1007/978-1-4899-4541-9
- Färe, R.; Grosskopf, S.; Norris, M.; Zhang, Z. 1994. Productivity growth, technical progress, and efficiency change in industrialized countries, The American Economic Review 84(1): 66–83.
- Farrell, M. J. 1957. The measurement of productive efficiency, Journal of the royal statistical society 120(3): 253–290. http://dx.doi.org/10.2307/2343100
- Fukuyama, H.; Mirdehghan, S. M. 2012. Identifying the efficiency status in network DEA, European Journal of Operational Research 220(1): 85–92. http://dx.doi.org/10.1016/j.ejor.2012.01.024
- Golany, B.; Roll, Y. 1989. An application procedure for DEA, Omega 17(3): 237–250. http://dx.doi.org/10.1016/0305-0483(89)90029-7
- Kong, W. H.; Fu, T. T. 2012. Assessing the performance of business colleges in Taiwan using data envelopment analysis and student based value-added performance indicators, Omega 40(5): 541–549. http://dx.doi.org/10.1016/j.omega.2011.10.004
- Lu, W. M.; Hung, S. W. 2011. Exploring the efficiency and effectiveness in global e-retailing companies, Computers & Operations Research 38(9): 1351–1360. http://dx.doi.org/10.1016/j.cor.2010.12.009
- Malmquist, S. 1953. Index numbers and indifference surfaces, Trabajos de Estadística 4: 209–242. http://dx.doi.org/10.1007/BF03006863
- Niven, P. R. 2002. Balanced scorecard step-by-step. New York: Wiley.
- Norman, M.; Stoker, B. 1991. Data envelopment analysis: the assessment of performance. New York: John Wiley and Sons.
- Paradi, J. C.; Zhu, H. 2013. A survey on bank branch efficiency and performance research with data envelopment analysis, Omega 41(3): 61–79. http://dx.doi.org/10.1016/j.omega.2011.08.010
- Pastor, J. T.; Lovell, C. A. K. 2005. A global Malmquist productivity index, Economics Letters 88(2): 266–271. http://dx.doi.org/10.1016/j.econlet.2005.02.013
- Shephard, R. W. 1970. Theory of cost and production functions. Princeton: Princeton University Press.
- Shestalova, V. 2003. Sequential Malmquist indices of productivity growth: an application to OECD industrial activities, Journal of Productivity Analysis 19(2): 211–226. http://dx.doi.org/10.1023/A:1022857501478
- Simar, L.; Wilson, P. W. 1999. Estimating and bootstrapping Malmquist indices, European Journal of Operational Research 115: 459–471. http://dx.doi.org/10.1016/S0377-2217(97)00450-5
- Sun, S. 2002. Assessing computer numerical control machines using data envelopment analysis, International Journal of Production Research 40(9): 2011–2039. http://dx.doi.org/10.1080/00207540210123634
- Toloo, M.; Sohrabi, B.; Nalchigar, S. 2009. A new method for ranking discovered rules from data mining by DEA, Expert Systems with Applications 36: 8503–8508. http://dx.doi.org/10.1016/j.eswa.2008.10.038
- Tommaso, A. 2011. Performances and spending efficiency in higher education: a European comparison through non-parametric approaches, Education Economics 19(2): 199–224. http://dx.doi.org/10.1080/09645290903094174
- Vaidogas, E. R.; Juocevicius, V. 2007. Assessing external threats to structures using limited statistical data: an approach based on data resampling, Technological and Economic Development of Economy 13(2): 170–175.
- Wilson, A. B.; Kerr, B.; Bastian, N. D.; Fulton, L. V. 2012. Financial performance monitoring of the technical efficiency of critical access hospitals: a data envelopment analysis and logistic regression modeling approach, Journal of Healthcare Management 57(3): 200–212.