How to cite this paper
APA: Zarinkamar, R & Alam-Tabriz, A. (2014). Bank branch operating efficiency: evaluation with data envelopment analysis. Management Science Letters, 4(10), 2307-2312.
Chicago/Turabian: Zarinkamar, R & Alam-Tabriz, A. 2014. "Bank branch operating efficiency: evaluation with data envelopment analysis." Management Science Letters 4, no. 10 (2014): 2307-2312.
AMA: Zarinkamar, R & Alam-Tabriz, A. Bank branch operating efficiency: evaluation with data envelopment analysis. Management Science Letters. 2014;4(10):2307-2312.
References
Andersen, P., & Petersen, N. C. (1993). A procedure for ranking efficient units in data envelopment analysis. Management science, 39(10), 1261-1264.
Anderson, D., Sweeney, D., Williams, T., Camm, J., & Martin, R. (2011). An Introduction to Management Science: Quantitative Approaches to Decision Making, Revised. Cengage Learning.
Avkiran, N. K. (2010). Association of DEA super-efficiency estimates with financial ratios: Investingating the case for Chinese banks. Omega, 39(3), 323-334.
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.
Charnes A, Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of the Operational Research, 2, 429–44.
Charnes A, Cooper W. W., Lewin, A., & Seiford, L. M. (1994). Data envelopment analysis: theory, methodology and applications. Massachusetts: Kluwer Academic Publishers.
Che, Z. H., Wang, H. S., & Chuang, Ch-L. (2010). A fuzzy AHP and DEA approach for making bank loan decisions for small and medium enterprises in Taiwan, Expert Systems with Applications, 37(10), 7189-7199.
Ehsani, M., & Danaei, A. (2014). A DEA-TOPSIS approach for ranking credit institutions. Management Science Letters, 4(9), 2071–2076.
Fallah, M. Aryanezhad, M.B., Najafi, S.E., & Shahsavaripour, N. (2011). An empirical study on measuring the relative efficiency using DEA method: A case study of bank industry. Management Science Letters, 1(1), 49-56.
Fu, X. M., & Heffernan, S. (2007). Cost X-efficiency in China & apos; s banking sector. China Economic Review, 18(1), 35-53.
Haslem, J. A., Scheraga, C. A., & Bedingfield, J. P. (1999). DEA efficiency profiles of U.S. banks operating internationally. International Review of Economics & Finance, 8(2), 165-182.
Hwang, C. L., & Yoon, K. (1981). Multiple Attribute Decision Making Methods and Applications. Springer, Berlin Heidelberg.
Lin, T. T., Lee, Ch-Ch., & Chiu, T-F. (2009). Application of DEA in analyzing a bank & apos; s operating performance. Expert Systems with Applications, 36(5), 8883-8891.
Mercan, M., Reisman, A., Yolalan, R., & Burak Emel, A. (2003). The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis, Socio-Economic Planning Sciences, 37(3), 185-202.
Mester, L. J. (1996). A study of bank efficiency taking into account risk-preferences. Journal of Banking & Finance, 20(6), 1025-1045.
Rahimian, M & Soltanifar, M. (2013). An application of DEA based Malmquist productivity index in university performance analysis. Management Science Letters , 3(1), 337-344.
Shabani, M & Shams, N. (2014). Measuring the performance of accepted investment companies in Tehran’s stock exchange by value efficiency analysis. Management Science Letters , 4(6), 1229-1232.
Soltanifar, M & Farhadi, F. (2014). An application of data envelopment analysis for measuring the relative efficiency in banking industry. Management Science Letters, 4(5), 1021-1026.
Srairi, S. A. (2010). Cost and profit efficiency of conventional and Islamic banks in GCC countries. Journal of Productivity Analysis, 34(1), 45-62.
Staub, R. B., Da Silva e Souza, G. & Tabak, B. M. (2010). Evolution of bank efficiency in Brazil: A DEA approach. European Journal of Operational Research, 202(1), 204-213.
Thoraneenitiyan, N., & Avkiran, N. K. (2009). Measuring the impact of restructuring and country-specific factors on the efficiency of post-crisis East Asian banking systems: Integrating DEA with SFA. Socio-Economic Planning Sciences, 43(4), 240-252.
Yang, J.B., Wong, B.Y.H., Xu, D.L., Liu, X.B. & Steuer, R.E. (2010). Integrated bank performance assessment and management planning using hybrid minimax reference point – DEA approach. European Journal of Operational Research, 207(3), 1506–1518.
Anderson, D., Sweeney, D., Williams, T., Camm, J., & Martin, R. (2011). An Introduction to Management Science: Quantitative Approaches to Decision Making, Revised. Cengage Learning.
Avkiran, N. K. (2010). Association of DEA super-efficiency estimates with financial ratios: Investingating the case for Chinese banks. Omega, 39(3), 323-334.
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.
Charnes A, Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of the Operational Research, 2, 429–44.
Charnes A, Cooper W. W., Lewin, A., & Seiford, L. M. (1994). Data envelopment analysis: theory, methodology and applications. Massachusetts: Kluwer Academic Publishers.
Che, Z. H., Wang, H. S., & Chuang, Ch-L. (2010). A fuzzy AHP and DEA approach for making bank loan decisions for small and medium enterprises in Taiwan, Expert Systems with Applications, 37(10), 7189-7199.
Ehsani, M., & Danaei, A. (2014). A DEA-TOPSIS approach for ranking credit institutions. Management Science Letters, 4(9), 2071–2076.
Fallah, M. Aryanezhad, M.B., Najafi, S.E., & Shahsavaripour, N. (2011). An empirical study on measuring the relative efficiency using DEA method: A case study of bank industry. Management Science Letters, 1(1), 49-56.
Fu, X. M., & Heffernan, S. (2007). Cost X-efficiency in China & apos; s banking sector. China Economic Review, 18(1), 35-53.
Haslem, J. A., Scheraga, C. A., & Bedingfield, J. P. (1999). DEA efficiency profiles of U.S. banks operating internationally. International Review of Economics & Finance, 8(2), 165-182.
Hwang, C. L., & Yoon, K. (1981). Multiple Attribute Decision Making Methods and Applications. Springer, Berlin Heidelberg.
Lin, T. T., Lee, Ch-Ch., & Chiu, T-F. (2009). Application of DEA in analyzing a bank & apos; s operating performance. Expert Systems with Applications, 36(5), 8883-8891.
Mercan, M., Reisman, A., Yolalan, R., & Burak Emel, A. (2003). The effect of scale and mode of ownership on the financial performance of the Turkish banking sector: results of a DEA-based analysis, Socio-Economic Planning Sciences, 37(3), 185-202.
Mester, L. J. (1996). A study of bank efficiency taking into account risk-preferences. Journal of Banking & Finance, 20(6), 1025-1045.
Rahimian, M & Soltanifar, M. (2013). An application of DEA based Malmquist productivity index in university performance analysis. Management Science Letters , 3(1), 337-344.
Shabani, M & Shams, N. (2014). Measuring the performance of accepted investment companies in Tehran’s stock exchange by value efficiency analysis. Management Science Letters , 4(6), 1229-1232.
Soltanifar, M & Farhadi, F. (2014). An application of data envelopment analysis for measuring the relative efficiency in banking industry. Management Science Letters, 4(5), 1021-1026.
Srairi, S. A. (2010). Cost and profit efficiency of conventional and Islamic banks in GCC countries. Journal of Productivity Analysis, 34(1), 45-62.
Staub, R. B., Da Silva e Souza, G. & Tabak, B. M. (2010). Evolution of bank efficiency in Brazil: A DEA approach. European Journal of Operational Research, 202(1), 204-213.
Thoraneenitiyan, N., & Avkiran, N. K. (2009). Measuring the impact of restructuring and country-specific factors on the efficiency of post-crisis East Asian banking systems: Integrating DEA with SFA. Socio-Economic Planning Sciences, 43(4), 240-252.
Yang, J.B., Wong, B.Y.H., Xu, D.L., Liu, X.B. & Steuer, R.E. (2010). Integrated bank performance assessment and management planning using hybrid minimax reference point – DEA approach. European Journal of Operational Research, 207(3), 1506–1518.