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A multicriteria methodology for developing a performance measurement model for bank branches

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Abstract

The evaluation of the performance and the dynamics of bank branches is an important component in the management of every financial institution. The information provided from such an evaluation contributes to the design of appropriate strategies for improving a bank’s effectiveness. This paper presents the development of a performance measurement model for the branch network of leading Greek commercial bank. The analysis concerns the network of the branches for a time period from 1999 to 2001. Given the current performance measurement system which is applied by the bank, a new multicriteria performance measurement model is developed which as consistent as possible with the system currently in use. The model is fitted on the data of the branches for 1999 and 2000 and is tested on the 2001 data. The development of the multicriteria model is implemented through linear programming techniques while its performance is compared to traditional regression analysis. The stability and performance of the model are analyzed through bootstrap techniques.

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References

  • Athanassopoulos, A.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. Vol. 98, 301–314.

    Article  Google Scholar 

  • Athanassopoulos, A.D. and Giokas, D. (2000). The use of data envelopment analysis in banking institutions: Evidence from the Commercial Bank of Greece. Interfaces. Vol. 30, 81–95.

    Article  Google Scholar 

  • Berger, A.N., Leusner, L.H. and Mingo, J.J. (1997). The efficiency of bank branches. Journal of Monetary Economics. Vol. 40, 141–162.

    Article  Google Scholar 

  • Berger, A.N. and Humphrey, D.B. (1997). Efficiency of financial institutions: International survey and directions for future research. European Journal of Operational Research. Vol. 98, 175–212.

    Article  Google Scholar 

  • Boufounou P.V. (1995). Evaluating bank branch location and performance: A case study. European Journal of Operational Research. Vol. 87, 389–402.

    Article  Google Scholar 

  • Chames, A., Cooper, W.W. and Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research. Vol. 2, 429–444.

    Article  Google Scholar 

  • Doukas, J. and Switzer, L.N. (1989). Economies of scale and scope in Canadian branch banking. Journal of International financial Markets, Institutions and Money. Vol. 1, 81–84.

    Google Scholar 

  • Drake, L. and Howcroft, B. (1995). Measuring the relative efficiency of the selling function: An application of data envelopment analysis to UK bank branches. Loughborough University, UK.

    Google Scholar 

  • Fayyad, U.M. and Irani, K.B. (1992). On the handling of continuous-valued attributes in decision tree generation. Machine Learning. Vol. 8, 87–102.

    Google Scholar 

  • Geman, S., Bienenstock, E. and Doursat, R. (1992). Neural networks and the bias/variance dilemma. Neural Computation. Vol. 4(1), 1–58.

    Article  Google Scholar 

  • Hartman, T.E., Storbeck, J.E. and Byrnes, P. (2001). Allocative efficiency in branch banking. European Journal of Operational Research. Vol. 134, 232–242.

    Article  Google Scholar 

  • Lovell, C.A.K. and Pastor, J.T. (1997). Target setting: An application to a bank branch network. European Journal of Operational Research. Vol. 98, 290–299.

    Article  Google Scholar 

  • Mangasarian O. (1999). Generalized support vector machines. In Advances in Large Margin Classifiers, (A.J. Smola, P. Bartlett, B. Scholkopf, and C. Schuurmans, ed.). MIT Press, Cambridge MA, 135–146.

    Google Scholar 

  • Murphy, N.B. and Orgler, Y.E. (1982). Cost analysis for branching systems: Methodology, test results, and implication for management. Journal of Financial Research. Vol. 5, 181–188.

    Google Scholar 

  • Oral, M. and Jolalan, R. (1990). An empirical study on measurement operating efficiency and profitability of bank branches. European Journal of Operational Research. Vol. 46, 282–294.

    Article  Google Scholar 

  • Paradi, J.C. and Schaffnit, C. (2003). Commercial branch performance evaluation and results communication in a Canadian bank- a DEA application. European Journal of Operational Research (in press).

  • Parkan, C. (1987). Measuring the efficiency of service operations: An application to bank branches. Engineering Costs and Production Economics. Vol. 12, 237–242.

    Article  Google Scholar 

  • Schaffhit, C., Rosen, D. and Paradi, J.C. (1997). Best Practice Analysis of bank branches: An application of DEA in a large Canadian bank. European Journal of Operational Research. Vol. 98, 270–290.

    Google Scholar 

  • Sherman, D. and Gold, F. (1985), Branch Operating efficiency: Evaluation with Data Envelopment Analysis. Journal of Banking and Finance. Vol. 9, 297–315.

    Article  Google Scholar 

  • Sherman, H.D. and Ladino, G. (1995). Managing bank productivity using data envelopment analysis (DEA). Interfaces. Vol. 25, 60–73.

    Google Scholar 

  • Soteriou, A. and Zenios, S.A. (1999). Operations, quality and profitability in the provision of banking services. Management Science. Vol. 45, 1221–1238.

    Google Scholar 

  • Tulkens, H. (1993), On FHD efficiency analysis: some methodological issues and applications to retail banking, courts and urban transit. Journal of Productivity Analysis. Vol. 4,. 183–210.

    Article  Google Scholar 

  • Vassiloglou, M. and Giokas, D. (1990). A study of the relative efficiency of bank branches: An application of Data Envelopement Analysis. Journal of the Operational Research Society. Vol. 41, 591–597.

    Article  Google Scholar 

  • Wolpert, D. H. and Macready W. G. (1996). Combining stacking with bagging to improve a learning algorithm. Technical Report SFI-TR-96-03-123, Santa Fe Institute, Santa Fe, New Mexico.

    Google Scholar 

  • Zardkoohi, A. and Kolari, J. (1994). Branch office economies of scale and scope: Evidence from savings banks in Finland. Journal of Banking and finance. Vol. 18, 421–432.

    Article  Google Scholar 

  • Zenios, C.V., Zenios, S.A., Agathocleous, K. and Soteriou, A.C. (1999). Benchmarks of the efficiency of bank branches. Interfaces. Vol. 29, 37–51.

    Article  Google Scholar 

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Strantza, C., Damaskos, X., Doumpos, M. et al. A multicriteria methodology for developing a performance measurement model for bank branches. Oper Res Int J 3, 307–323 (2003). https://doi.org/10.1007/BF02936407

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