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A mixed system of network data envelopment analysis to evaluate the performance of bank branches: an illustration with Iranian banks

Author

Listed:
  • Sajad Akbari
  • Jafar Heydari
  • Mohammad Ali Keramati
  • Abbas Keramati

Abstract

Performance evaluation in the banking industry is important for managers, customers, investors, and stakeholders. Measuring and improving efficiency in banks are among the most important applications of the data envelopment analysis technique and numerous studies have been done in this area. This study is aimed to investigate and design a mixed structure in accordance with the conditions of Iranian banks. Since we want to obtain performance of different divisions of the new structure, an envelopment form of the NDEA model had to be used. Therefore, a slack-based NDEA model was selected to solve its mathematical model. The study sample consisted 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. The interesting result of this research can be mentioned as follows: there is no need to allocate high inputs in order to obtain the maximum efficiency of the branches.

Suggested Citation

  • Sajad Akbari & Jafar Heydari & Mohammad Ali Keramati & Abbas Keramati, 2020. "A mixed system of network data envelopment analysis to evaluate the performance of bank branches: an illustration with Iranian banks," International Journal of Business Excellence, Inderscience Enterprises Ltd, vol. 22(2), pages 198-212.
    • Handle: RePEc:ids:ijbexc:v:22:y:2020:i:2:p:198-212
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    Cited by:

    1. Svetlana V. Ratner & Artem M. Shaposhnikov & Andrey V. Lychev, 2023. "Network DEA and Its Applications (2017–2022): A Systematic Literature Review," Mathematics, MDPI, vol. 11(9), pages 1-24, May.
    2. Afrasiabi, Ahmadreza & Chalmardi, Mazyar Kaboli & Balezentis, Tomas, 2022. "A novel hybrid evaluation framework for public organizations based on employees’ performance factors," Evaluation and Program Planning, Elsevier, vol. 91(C).

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