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Using Satisficing Game Theory for Performance Evaluation of Banks’ Branches (Case Study in the Mellat Bank)

Author

Listed:
  • Kahfi, Atefeh

    (Bank Mellat)

  • Sadeghian, Ramin

    (Department of Industrial Engineering, Payame Noor University)

  • Darabi, Nasim

    (Bank Mellat)

Abstract

Due to its role in the identification of inefficient branches and deciding the consistency of their activities, evaluating the performance of a bank's branches is one of the most important decisions in the field of development and regulation of branch network. In this paper, the satisfactory functions based on game theory strategies have been utilized in order to evaluate the individual and within-group performance of the bank's branches. The proposed approach is based on a cooperative game theory, and the number of players is equal to the number of units which must be evaluated. The satisficing equilibrium set includes the options which are qualified as “good enough” or the efficient units which are both individually and within-group efficient. By applying our analytical method to the bank Mellat case study, we have presented solutions to improve the efficiency of inefficient branches and the branches which are only individually or within-group efficient using sensitivity analysis techniques. Lastly, if efficiency improvement is not possible, we have suggested omitting the branch.

Suggested Citation

  • Kahfi, Atefeh & Sadeghian, Ramin & Darabi, Nasim, 2020. "Using Satisficing Game Theory for Performance Evaluation of Banks’ Branches (Case Study in the Mellat Bank)," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 15(2), pages 135-150, April.
  • Handle: RePEc:mbr:jmonec:v:15:y:2020:i:2:p:135-150
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    References listed on IDEAS

    as
    1. Paradi, Joseph C. & Zhu, Haiyan, 2013. "A survey on bank branch efficiency and performance research with data envelopment analysis," Omega, Elsevier, vol. 41(1), pages 61-79.
    2. Lozano, S., 2012. "Information sharing in DEA: A cooperative game theory approach," European Journal of Operational Research, Elsevier, vol. 222(3), pages 558-565.
    3. Hao, Gang & Wei, Quanling & Yan, Hong, 2000. "The generalized DEA model and the convex cone constrained game," European Journal of Operational Research, Elsevier, vol. 126(3), pages 515-525, November.
    4. Hashem Omrani & Khatereh Shafaat & Arash Alizadeh, 2019. "Integrated data envelopment analysis and cooperative game for evaluating energy efficiency of transportation sector: a case of Iran," Annals of Operations Research, Springer, vol. 274(1), pages 471-499, March.
    5. Cook, Wade D. & Seiford, Larry M., 2009. "Data envelopment analysis (DEA) - Thirty years on," European Journal of Operational Research, Elsevier, vol. 192(1), pages 1-17, January.
    6. Dimitris Despotis & Gregory Koronakos & Dimitris Sotiros, 2016. "Composition versus decomposition in two-stage network DEA: a reverse approach," Journal of Productivity Analysis, Springer, vol. 45(1), pages 71-87, February.
    7. Fadzlan Sufian & Fakarudin Kamarudin, 2017. "Forced Mergers on Bank Efficiency and Productivity: Evidence from Semi-parametric Malmquist Productivity Index," Global Business Review, International Management Institute, vol. 18(1), pages 19-44, February.
    8. Fukuyama, Hirofumi & Matousek, Roman, 2017. "Modelling bank performance: A network DEA approach," European Journal of Operational Research, Elsevier, vol. 259(2), pages 721-732.
    9. Fethi, Meryem Duygun & Pasiouras, Fotios, 2010. "Assessing bank efficiency and performance with operational research and artificial intelligence techniques: A survey," European Journal of Operational Research, Elsevier, vol. 204(2), pages 189-198, July.
    10. William W. Cooper & Lawrence M. Seiford & Kaoru Tone, 2007. "Data Envelopment Analysis," Springer Books, Springer, edition 0, number 978-0-387-45283-8, November.
    11. Lozano, S., 2013. "DEA production games," European Journal of Operational Research, Elsevier, vol. 231(2), pages 405-413.
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    More about this item

    Keywords

    Performance Evaluation; Individual and Within-Group Evaluation; Satisficing Game Theory; Cooperative Game Theory;
    All these keywords.

    JEL classification:

    • C71 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Cooperative Games
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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