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Assessing the efficiency in operations of a large Greek bank branch network adopting different economic behaviors

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  • Giokas, Dimitris I.

Abstract

This paper reports on an assessment of the branches of a Greek bank in terms of their performance in three different dimensions: their efficiency in managing the economic record of the branches, their efficiency in meeting the demand for transactions with customers and their efficiency in generating profits. From a methodological point of view the paper employs the non-parametric method Data Envelopment Analysis. Furthermore, branches are assessed using a loglinear deterministic frontier method, in order to examine the concordance of efficiency rating between two models. Small differences were found in the distribution of efficiency estimates. In all cases, the results indicated that there is the scope for substantial efficiency improvements. The most useful information we can provide to bank management is the similar insights of the worst performing branches, as all models identify essentially the same -- low performing branches in the bank network.

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  • Giokas, Dimitris I., 2008. "Assessing the efficiency in operations of a large Greek bank branch network adopting different economic behaviors," Economic Modelling, Elsevier, vol. 25(3), pages 559-574, May.
  • Handle: RePEc:eee:ecmode:v:25:y:2008:i:3:p:559-574
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    2. 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.
    3. Assaf, A. George & Josiassen, Alexander, 2012. "Time-varying production efficiency in the health care foodservice industry: A Bayesian method," Journal of Business Research, Elsevier, vol. 65(5), pages 617-625.
    4. Sepideh Kaffash & Marianna Marra, 2017. "Data envelopment analysis in financial services: a citations network analysis of banks, insurance companies and money market funds," Annals of Operations Research, Springer, vol. 253(1), pages 307-344, June.
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    6. Amir Moradi-Motlagh & Ali Salman Saleh, 2014. "Re-Examining the Technical Efficiency of Australian Banks: A Bootstrap DEA Approach," Australian Economic Papers, Wiley Blackwell, vol. 53(1-2), pages 112-128, June.
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    8. A.I. Dimitras & K. Kosmidou & A.K. Apostolou, 2010. "Bank efficiency estimation and the change of the accounting standards: evidence from Greece," International Journal of Managerial and Financial Accounting, Inderscience Enterprises Ltd, vol. 2(1), pages 20-39.
    9. Yang, Chyan & Liu, Hsian-Ming, 2012. "Managerial efficiency in Taiwan bank branches: A network DEA," Economic Modelling, Elsevier, vol. 29(2), pages 450-461.
    10. Paradi, Joseph C. & Rouatt, Stephen & Zhu, Haiyan, 2011. "Two-stage evaluation of bank branch efficiency using data envelopment analysis," Omega, Elsevier, vol. 39(1), pages 99-109, January.
    11. Quaranta, Anna Grazia & Raffoni, Anna & Visani, Franco, 2018. "A multidimensional approach to measuring bank branch efficiency," European Journal of Operational Research, Elsevier, vol. 266(2), pages 746-760.
    12. Fatemeh Boloori & Jafar Pourmahmoud, 2016. "A modified SBM-NDEA approach for the efficiency measurement in bank branches," Operational Research, Springer, vol. 16(2), pages 301-326, July.
    13. Halkos, George Emm. & Tzeremes, Nickolaos G., 2011. "Modelling the effect of national culture on multinational banks' performance: A conditional robust nonparametric frontier analysis," Economic Modelling, Elsevier, vol. 28(1), pages 515-525.
    14. Portela, Maria C.A.S. & Thanassoulis, Emmanuel, 2010. "Malmquist-type indices in the presence of negative data: An application to bank branches," Journal of Banking & Finance, Elsevier, vol. 34(7), pages 1472-1483, July.
    15. Martin Bod′a & Emília Zimková, 2018. "Iso-analysis for knowing the sources of technical efficiency and performance," Operational Research, Springer, vol. 18(2), pages 421-449, July.
    16. Ali, Syed Zahid & Anwar, Sajid & Valadkhani, Abbas, 2012. "Macroeconomic consequences of increased productivity in less developed economies," Economic Modelling, Elsevier, vol. 29(3), pages 621-631.
    17. Lu, Wen-Min & Liu, John S. & Kweh, Qian Long & Wang, Chung-Wei, 2016. "Exploring the benchmarks of the Taiwanese investment trust corporations: Management and investment efficiency perspectives," European Journal of Operational Research, Elsevier, vol. 248(2), pages 607-618.
    18. Zha, Yong & Liang, Nannan & Wu, Maoguo & Bian, Yiwen, 2016. "Efficiency evaluation of banks in China: A dynamic two-stage slacks-based measure approach," Omega, Elsevier, vol. 60(C), pages 60-72.
    19. G.S. Donatos & D.I. Giokas, 2008. "Relative Efficiency in the branch network of a Greek bank: A quantitative analysis," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 53-72.
    20. LaPlante, A.E. & Paradi, J.C., 2015. "Evaluation of bank branch growth potential using data envelopment analysis," Omega, Elsevier, vol. 52(C), pages 33-41.
    21. Dincer, Hasan & Hacioglu, Umit & Tatoglu, Ekrem & Delen, Dursun, 2019. "Developing a hybrid analytics approach to measure the efficiency of deposit banks," Journal of Business Research, Elsevier, vol. 104(C), pages 131-145.
    22. Halkos, George & Tzeremes, Nickolaos, 2010. "Measuring the effect of virtual mergers on banks’ efficiency levels:A non parametric analysis," MPRA Paper 23696, University Library of Munich, Germany.
    23. E. Grigoroudis & E. Tsitsiridi & C. Zopounidis, 2013. "Linking customer satisfaction, employee appraisal, and business performance: an evaluation methodology in the banking sector," Annals of Operations Research, Springer, vol. 205(1), pages 5-27, May.
    24. 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.

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