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The Use of Data Envelopment Analysis in Banking Institutions: Evidence from the Commercial Bank of Greece

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  • Antreas D. Athanassopoulos

    (Athens Laboratory of Business Administration (ALBA), Athinas Avenue and Areos Str. 2A, 166 71 Vouliagmeni, Greece and Decision Sciences Group, London Business School, Sussex Place, NW1 4SA, London, United Kingdom)

  • Dimitris Giokas

    (Department of Economic Sciences, University of Athens, 10559, Greece and Operational Research Department, Commercial Bank of Greece)

Abstract

Since 1988, the Commercial Bank of Greece (CBG) has instituted performance measurement systems for bank branches using data envelopment analysis (DEA). This is the first application of DEA in Greece and among the few around the world that have resulted in continuous use of the method within a large-scale organization. The project was undertaken by a mixed team of banking experts assisted by academics specializing in developing bank branch performance measurement systems. During the project (1988–1994) the performance measurement technology was transferred and acquired by the staff of the bank. Various methodological issues arose during this study regarding the objectives of assessing branch performance, the importance of input/output sets in assessing branch efficiency, and the behavioral implications of management control systems. The CBG (Commercial Bank of Greece) has accepted data envelopment analysis as a useful tool for assessing branch performance and for obtaining insights to support decisions.

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  • Antreas D. Athanassopoulos & Dimitris Giokas, 2000. "The Use of Data Envelopment Analysis in Banking Institutions: Evidence from the Commercial Bank of Greece," Interfaces, INFORMS, vol. 30(2), pages 81-95, April.
    • Handle: RePEc:inm:orinte:v:30:y:2000:i:2:p:81-95
    DOI: 10.1287/inte.30.2.81.11678
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    References listed on IDEAS

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    1. Ferrier, Gary D. & Lovell, C. A. Knox, 1990. "Measuring cost efficiency in banking : Econometric and linear programming evidence," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 229-245.
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    Cited by:

    1. Bruno De Borger & Kristiaan Kerstens & Diego Prior & Ignace Van de Woestyne, 2013. "Static efficiency decompositions and capacity utilization: integrating economic and technical capacity notions," Applied Economics, Taylor & Francis Journals, vol. 45(24), pages 3529-3529, August.
    2. 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.
    3. Kerstens, Kristiaan & Bouye, Ahmed Moulaye Hachem & Van de Woestyne, Ignace & Vestergaard, Niels, 2008. "Optimal capacity utilization and reallocation in a German bank branch network: Exploring some strategic scenarios," Working Papers 2008/59, Hogeschool-Universiteit Brussel, Faculteit Economie en Management.
    4. Giorgos Argitis & Stella Michopoulou, 2013. "Studies in Financial Systems No 4 Financialization and the Greek Financial System," FESSUD studies fstudy04, Financialisation, Economy, Society & Sustainable Development (FESSUD) Project.
    5. Panagiotis Mitropoulos & Ioannis Mitropoulos, 2020. "Performance evaluation of retail banking services: Is there a trade‐off between production and quality?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(7), pages 1237-1250, October.
    6. Jesús Pastor & C. Lovell & Henry Tulkens, 2006. "Evaluating the financial performance of bank branches," Annals of Operations Research, Springer, vol. 145(1), pages 321-337, July.
    7. 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.
    8. K. Kosmidou & F. Pasiouras & M. Doumpos & C. Zopounidis, 2006. "Assessing performance factors in the UK banking sector: A multicriteria methodology," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(1), pages 25-44, February.
    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. 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.
    11. Kristjanpoller Rodríguez Werner & Saavedra Rodríguez Oscar, 2014. "La eficiencia técnica de los bancos durante la crisis Caso aplicado a la rentabilidad de la banca comercial en México y Chile," Contaduría y Administración, Accounting and Management, vol. 59(1), pages 95-122, enero-mar.
    12. 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.
    13. Kashif Rashid & Adeela Rustam, 2014. "Comparative Analysis of Local and Foreign Banks Efficiency: A Case Study of Pakistan," Oeconomics of Knowledge, Saphira Publishing House, vol. 6(3), pages 7-52, August.
    14. Paradi, Joseph C. & Schaffnit, Claire, 2004. "Commercial branch performance evaluation and results communication in a Canadian bank--a DEA application," European Journal of Operational Research, Elsevier, vol. 156(3), pages 719-735, August.
    15. Gustavo Ferro & Daniel Lema & Francisco Schiffrer, 2019. "Bank branches efficiency under management and regulatory constraints," Estudios Gerenciales, Universidad Icesi, vol. 35(151), pages 122-134, June.
    16. Portela, Maria Conceicao A. Silva & Thanassoulis, Emmanuel, 2007. "Comparative efficiency analysis of Portuguese bank branches," European Journal of Operational Research, Elsevier, vol. 177(2), pages 1275-1288, March.
    17. Rakesh Raut & Naoufel Cheikhrouhou & Manoj Kharat, 2017. "Sustainability in The Banking Industry: A Strategic Multi‐Criterion Analysis," Business Strategy and the Environment, Wiley Blackwell, vol. 26(4), pages 550-568, May.
    18. E. Nur Ozkan‐Gunay & Arzu Tektas, 2006. "Efficiency Analysis Of The Turkish Banking Sector In Precrisis And Crisis Period: A Dea Approach," Contemporary Economic Policy, Western Economic Association International, vol. 24(3), pages 418-431, July.
    19. A S Camanho & R G Dyson, 2005. "Cost efficiency, production and value-added models in the analysis of bank branch performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(5), pages 483-494, May.
    20. Z Yang, 2009. "Assessing the performance of Canadian bank branches using data envelopment analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(6), pages 771-780, June.
    21. Dejene Mamo Bekana (MBA) & Asres Abitie (MBA), 2012. "Evaluation Of Financial Performance Of Banking Enterprises; The Case Of Construction And Business Bank Of Ethiopia," Revista Tinerilor Economisti (The Young Economists Journal), University of Craiova, Faculty of Economics and Business Administration, vol. 1(18), pages 82-102, April.
    22. Shimshak, Daniel G. & Lenard, Melanie L. & Klimberg, Ronald K., 2009. "Incorporating quality into data envelopment analysis of nursing home performance: A case study," Omega, Elsevier, vol. 37(3), pages 672-685, June.
    23. H. Sherman & Joe Zhu, 2006. "Benchmarking with quality-adjusted DEA (Q-DEA) to seek lower-cost high-quality service: Evidence from a U.S.bank application," Annals of Operations Research, Springer, vol. 145(1), pages 301-319, July.
    24. 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.

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