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Performance evaluation of retail banking services: Is there a trade‐off between production and quality?

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  • Panagiotis Mitropoulos
  • Ioannis Mitropoulos

Abstract

We propose a two‐stage data envelopment analysis model to give an insight on the internal structure of the banking sector and study the important role of service quality in the production process. The first stage deals with the production performance and is related with the optimal use of resources to produce banking services, whereas the second stage deals with the service quality performance using customer‐reported satisfaction and loyalty measures. This paper analyzes the efficiency and productivity of 36 branches of a single bank of Greece over the period 2016–2018. The results indicate the existence of a strong trade‐off between production and service quality. Further insights of the study indicate that the branch size significantly affects the service quality and overall efficiency. Moreover, the employee assessments by the performance appraisal system of the bank are mainly associated with the service production and not with service quality. Finally, this study presents a managerial decision‐making matrix and makes recommendations to help bank managers to improve the retail network performance.

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  • 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.
  • Handle: RePEc:wly:mgtdec:v:41:y:2020:i:7:p:1237-1250
    DOI: 10.1002/mde.3169
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    1. Calabrese, Armando, 2012. "Service productivity and service quality: A necessary trade-off?," International Journal of Production Economics, Elsevier, vol. 135(2), pages 800-812.
    2. Fare, Rolf & Grosskopf, Shawna, 1996. "Productivity and intermediate products: A frontier approach," Economics Letters, Elsevier, vol. 50(1), pages 65-70, January.
    3. 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.
    4. Lothgren, Mickael & Tambour, Magnus, 1999. "Productivity and customer satisfaction in Swedish pharmacies: A DEA network model," European Journal of Operational Research, Elsevier, vol. 115(3), pages 449-458, June.
    5. Kao, Chiang & Hwang, Shiuh-Nan, 2008. "Efficiency decomposition in two-stage data envelopment analysis: An application to non-life insurance companies in Taiwan," European Journal of Operational Research, Elsevier, vol. 185(1), pages 418-429, February.
    6. Joseph C. Paradi & H. David Sherman & Fai Keung Tam, 2018. "Bank Branch Benchmarking with Quality as a Component," International Series in Operations Research & Management Science, in: Data Envelopment Analysis in the Financial Services Industry, chapter 0, pages 159-184, Springer.
    7. Rachita Gulati & Sunil Kumar, 2017. "Analysing banks’ intermediation and operating efficiencies using the two-stage network DEA model," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 66(4), pages 500-516, April.
    8. Cristina Abad & Sten A. Thore & Joaquina Laffarga, 2004. "Fundamental analysis of stocks by two-stage DEA," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 25(5), pages 231-241.
    9. Chien Wang & Ram Gopal & Stanley Zionts, 1997. "Use of Data Envelopment Analysis in assessing Information Technology impact on firm performance," Annals of Operations Research, Springer, vol. 73(0), pages 191-213, October.
    10. Berger, Allen N. & Mester, Loretta J., 1997. "Inside the black box: What explains differences in the efficiencies of financial institutions?," Journal of Banking & Finance, Elsevier, vol. 21(7), pages 895-947, July.
    11. W. Cooper & Shanling Li & L. Seiford & Kaoru Tone & R. Thrall & J. Zhu, 2001. "Sensitivity and Stability Analysis in DEA: Some Recent Developments," Journal of Productivity Analysis, Springer, vol. 15(3), pages 217-246, May.
    12. Avkiran, Necmi Kemal, 2015. "An illustration of dynamic network DEA in commercial banking including robustness tests," Omega, Elsevier, vol. 55(C), pages 141-150.
    13. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    14. Fernando A. F. Ferreira & Sérgio P. Santos & Paulo M. M. Rodrigues & Ronald W. Spahr, 2014. "Evaluating retail banking service quality and convenience with MCDA techniques: a case study at the bank branch level," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(1), pages 1-21, February.
    15. Yang, Chyan & Liu, Hsian-Ming, 2012. "Managerial efficiency in Taiwan bank branches: A network DEA," Economic Modelling, Elsevier, vol. 29(2), pages 450-461.
    16. Lawrence M. Seiford & Joe Zhu, 1999. "Profitability and Marketability of the Top 55 U.S. Commercial Banks," Management Science, INFORMS, vol. 45(9), pages 1270-1288, September.
    17. Dyson, R. G. & Allen, R. & Camanho, A. S. & Podinovski, V. V. & Sarrico, C. S. & Shale, E. A., 2001. "Pitfalls and protocols in DEA," European Journal of Operational Research, Elsevier, vol. 132(2), pages 245-259, July.
    18. Cook, Wade D. & Liang, Liang & Zhu, Joe, 2010. "Measuring performance of two-stage network structures by DEA: A review and future perspective," Omega, Elsevier, vol. 38(6), pages 423-430, December.
    19. Athanassopoulos, Antreas D., 1997. "Service quality and operating efficiency synergies for management control in the provision of financial services: Evidence from Greek bank branches," European Journal of Operational Research, Elsevier, vol. 98(2), pages 300-313, April.
    20. Wang, Ke & Huang, Wei & Wu, Jie & Liu, Ying-Nan, 2014. "Efficiency measures of the Chinese commercial banking system using an additive two-stage DEA," Omega, Elsevier, vol. 44(C), pages 5-20.
    21. Golany, B & Roll, Y, 1989. "An application procedure for DEA," Omega, Elsevier, vol. 17(3), pages 237-250.
    22. 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.
    23. 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.
    24. A Mukherjee & P Nath & M Pal, 2003. "Resource, service quality and performance triad: a framework for measuring efficiency of banking services," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(7), pages 723-735, July.
    25. Fukuyama, Hirofumi & Matousek, Roman, 2017. "Modelling bank performance: A network DEA approach," European Journal of Operational Research, Elsevier, vol. 259(2), pages 721-732.
    26. Gronroos, Christian & Ojasalo, Katri, 2004. "Service productivity: Towards a conceptualization of the transformation of inputs into economic results in services," Journal of Business Research, Elsevier, vol. 57(4), pages 414-423, April.
    27. Joseph C. Paradi & H. David Sherman & Fai Keung Tam, 2018. "Data Envelopment Analysis in the Financial Services Industry," International Series in Operations Research and Management Science, Springer, number 978-3-319-69725-3, April.
    28. Fukuyama, Hirofumi & Matousek, Roman, 2011. "Efficiency of Turkish banking: Two-stage network system. Variable returns to scale model," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 21(1), pages 75-91, February.
    29. Mehmet Ceyhan & James Benneyan, 2014. "Handling estimated proportions in public sector data envelopment analysis," Annals of Operations Research, Springer, vol. 221(1), pages 107-132, October.
    30. Khushalani, Jaya & Ozcan, Yasar A., 2017. "Are hospitals producing quality care efficiently? An analysis using Dynamic Network Data Envelopment Analysis (DEA)," Socio-Economic Planning Sciences, Elsevier, vol. 60(C), pages 15-23.
    31. Lin, Tzu-Yu & Chiu, Sheng-Hsiung, 2013. "Using independent component analysis and network DEA to improve bank performance evaluation," Economic Modelling, Elsevier, vol. 32(C), pages 608-616.
    32. 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.
    33. 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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    Cited by:

    1. Martin Boďa & Emília Zimková, 2021. "A DEA model for measuring financial intermediation," Economic Change and Restructuring, Springer, vol. 54(2), pages 339-370, May.

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