Performance Evaluation of Banks Using DEA (Case study: Guilan Saderat Bank Branches)
Subject Areas : Data Envelopment Analysis
ک. شاهرودی
1
(Department of Industrial Management, Islamic Azad University-Rasht Branch,
Rasht, Iran)
Sh. Assimi
2
(Young Researchers Club member, Business Administration in M.A., Islamic Azad University-Rasht Branch, Rasht, Iran)
Keywords:
Abstract :
[1] Al-Shammari M., “A multi-criteria DEA model for measuring the productive efficiency of hospitals”, International Journal of Operatioans & Production Management 19, 879-891, 1999.
[2] Amaratunga D., and Bardly D., “performance measurement in facilities management and its relationship with management theory and motivation”, facilities, 20 (10), 327-336, 2002.
[3] Bodur J., Al-khoury A., “predicting change in bank efficiency in Jordan: a data envelopment analysis”, Journal of accounting & organizational change, 4 (2), 162-181, 2008.
[4] Borenstein D., Becker J. L., and Prado V. J., “Measuring the efficiency of Brazilian post office stores using data envelopment analysis”, International Journal of Operations & Production Management 24, 1055-1078, 2004.
[5] Bosetti V., Cassinelli M., and Lanza A., “Using data envelopment analysis to evaluate environmentally conscious tourism management”, Nota Di Lavoro59, 1-25, 2004.
[6] Cooper W. W., Seiford L. M., “Introduction to Data Envelopment Analysis and its uses”, Springer 2006.
[7] Hassan T., Mohamad S., and Bader M., “efficiency of conventional versus Islamic banks: evidence from the middle east”, international Journal of Islamic and middle eastern finance and management, 2 (1), 46-65, 2009.
[8] Hassanzadeh A., “Efficiency and Its Effective Factors in Iran Banking System”, Scientific-researching Journal of Jastarhaye Eghtesadi 7, 75-98, 2008.
[9] Kumar S., and Gulati R., “evaluation of technical efficiency and ranking of public sector banks in India”, International journal of productivity and performance management, 57 (7), 540-568, 2008.
[10] Lee H., Park Y., and Choi H., “Comparative evaluation of performance of national R&D programs with heterogeneous objectives:A DEA approach”, European Journal of Operational Research 196, 847-855, 2009.
[11] Lin T., Lee C., and Chiu T., “application of DEA in analyzing a bank’s operating performance”, Expert systems with applications, 36, pp. 8883-8891, 2009.
[12] Mehregan M. R., “Quantitative Models for Organizational Performance Evaluation”, University of Tehran: Faculty of Management, 2008.
[13] Min H., and Joo S. J., “Benchmarking the operational efficiency of third party logistics providers using data envelopment analysis”, Supply Chain Management: An International Journal 11, 259-265, 2006.
[14] Mokhtar H., Abdullah N., Alhabashi S., “Efficiency and competition of Islamic banking in Malaysia”,Humanomics, 24 (1), 28-48, 2008.
[15] Mostafa M., “Modeling the efficiency of GCC banks: a data envelopment analysis approach”, International journal of productivity and performance management, 56 (7), 623-643, 2007.
[16] Ramanathan R., “performance of banks in countries of the Gulf cooperation council”, International journal of productivity and performance management, 56 (2) 137-154, 2007.
[17] Saremi M., and Malaei H., “A Model for Performance Evaluation and Ranking Refah Bank Branches”, Journal of Farhange Modiriat 1, 31-58, 2003.
[18] Staub R., Souza G., and Tabak B., “Evolution of bank efficiency in Brazil:A DEA approach”, European journal of operational research, 202, 204-213, 2009.
[19] Wu D., Yang Z., and Liang L., “using DEA-neural network approach to evaluate branch efficiency of a large Canadian bank”, Expert systems with applications, 31, 108-115, 2006.