The Application of Super Efficiency Techniques in Measuring the Efficiency of Bank Branches (Case study: Melli Bank of Guilan Province)

In today's competitive world, many manufacturing and service firms, including banks, have been forced to use new managerial approaches and methods to assess 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 (the case of Melli Bank of Guilan Province). In this research, the input-oriented model of DEA in the form of constant return- to-scale and Anderson-Pearson (AP) super-efficiency have been employed to measure the efficiency of Class 1, 2 and 3 branches of Melli Bank in Guilan Province in 2015. In summary, the results showed that the average efficiency score of the surveyed branches was 0.75 in 2015. Golsar branch of Rasht was found to be the most efficient branch, and Kish Shahr Bandar was the most inefficient branch since its efficiency score of 0.8 was lower than the average of all branches. It was revealed that advertisement and marketing expenses were the most important cause of poor cost management in inefficient branches, and the inefficient branches were weakest in human resource training planning