The application of super efficiency technics in measuring the efficiency of bank branches (Case study: Melli Bank of Gilan Province)

Iranian Journal of Optimization

مقاله 6، دوره 10، شماره 2، اسفند 2018، صفحه 125-137   

نوع مقاله: Research Paper

نویسندگان

Mitra Safari¹؛ Mansoor Soofi^{* 2}؛ Mahdi Homayounfar³

¹Master of Business Administration, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran

²Assistant Professor, Department of Industrial Management, Faculty of Management and Accounting, Rasht Branch, Islamic Azad University, Rasht, Iran

³Department of Industrial Management, Rasht branch, Islamic Azad University, Rasht, Guilan, Iran

چکیده

In today's competitive world, many manufacturing and service firms, including banks, have been forced to use new managerial approaches, and methods for assessing organizational performance. The Data Envelopment Analysis (DEA) approach is one of these approaches, which has been used to evaluate the performance of organizations since 1978. The purpose of this research is to use the technology super-efficiency in measuring the efficiency of bank branches (Case Study: Melli Bank of Gilan Province). In this research, the input-vector model of data envelopment analysis, in the form of constant return-to-equilibrium, and Anderson-Pearson (AP) superclass, have been used to measure the efficiency of branches 1, 2 and 3 degrees in the Melli Bank of Gilan Province, in 2015. In summary, the results showed that the average of the efficiency score of the surveyed branches in 2015 is 0.75. The grade of a branch of Golsar, Rasht, was introduced as the most efficient case, and Kish Shahr Bandar was introduced as the most inefficient branch, due to a score of 0.8, lower than the average of the total number of branches. The results showed that the most important factor in the weakness of cost management in inefficient branches is the cost of advertising and marketing, and the most weakness in the planning of the field of staff training of the inefficient branches.

کلیدواژه‌ها

Performance Evaluation؛ Data envelopment analysis؛ Cloud Efficiency؛ Banks

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