چکیده:
One of the most important applications of data envelopment analysis technique is
measuring the efficiency of bank branches. Performance measurement in the
banking industry is important for several groups, including bank managers, customers,
investors, and shareholders. The purpose of this study is to examine and
design a mixed structure to measure the efficiency of branches of Iranian banks
according to their policies. In order to obtain the efficiency of the structure divisions
proposed in this study, a slack-based NDEA model was selected to solve its
mathematical model. The study sample consists of 31 branches of a large commercial
bank in Iran. The advantage of this research to previous studies is that the
result will be more realistic considering the inputs and outputs consistent with
Iran's banking conditions.
خلاصه ماشینی:
Designing A Mixed System of Network DEA for Evaluating the Efficiency of Branches of Commercial Banks in Iran Sajad Akbaria, Jafar Heydari*,b , Mohammadali Keramatic , Abbas Keramatib,d a Department of Industrial Engineering, Kish International Campus, University of Tehran b School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran c Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran dTed Rogers School of Information Technology Management, Ryerson University, Toronto, ON, Canada ARTICLE INFO Article history: Received 13 October 2018 Accepted 23 January 2019 Keywords: ABSTRACT Data Envelopment AnalysisNetwork Efficiency Banking industryPerformance Evaluation One of the most important applications of data envelopment analysis technique is measuring the efficiency of bank branches.
The purpose of this study is to examine and design a mixed structure to measure the efficiency of branches of Iranian banks according to their policies.
The major disadvantage of using DEA classic models to evaluate the performance of banks is that they only look at the inputs and outputs of the model, and no reviews are made within decision-making units.
Thus, using the NDEA approach, the weakness of the tradi- tional DEA models can be resolved and measured the efficiency of all components of a bank branch.
In 2013, Lin and Chiu[11] applied a slacks-based model to measure the performance of thirty Taiwanese banks by separating their operations into three stages: production, service, and profitability.
Two-stage evaluation of bank branch efficiency using data envelopment analysis, Omega, 2011, 39(1), P.