Performance Evaluation of Banks Using DEA (Case study: Guilan Saderat Bank Branches)

Shahroudi, K.; Assimi, Sh.

Document Type : Research Paper

Authors

K. Shahroudi ¹
Sh. Assimi ²

¹ Department of Industrial Management, Islamic Azad University-Rasht Branch, Rasht, Iran

² Young Researchers Club member, Business Administration in M.A., Islamic Azad University-Rasht Branch, Rasht, Iran

Abstract

Performance evaluation has been developed in the form of management schools along by managerial thought development. Banks and financial institutes are one of the most important economic sections to each country which by receipts and payments directing and organizing facilitate business and commercial transactions and develop markets and economic growth and as the main pillars in directing and managing dispersed funds toward production units and regulate cash flow, have specific place in economic growth and inflation control. Therefore, it is necessary for banks to be aware about their branches efficiency and take revision techniques into account for their future planning. In this paper BCC and CCR models (output-oriented) have been used to evaluate the efficiency of 29 sample Saderat bank branches in Guilan Province.

Keywords

Main Subjects

Data Envelopment Analysis

References

[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.

Iranian Journal of Optimization

Performance Evaluation of Banks Using DEA (Case study: Guilan Saderat Bank Branches)

References

References

Volume 4, Issue 2 - Serial Number 2
Summer 2012
Pages 324-335

Performance Evaluation of Banks Using DEA (Case study: Guilan Saderat Bank Branches)

References

References

Volume 4, Issue 2 - Serial Number 2Summer 2012Pages 324-335

Volume 4, Issue 2 - Serial Number 2
Summer 2012
Pages 324-335