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Benchmarking firm performance from a multiple-stakeholder perspective with an application to Chinese banking

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  • Avkiran, Necmi K.
  • Morita, Hiroshi
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    Abstract

    We know very little about how a firm would compare against its peers when evaluated from a multiple-stakeholder perspective where the same variables are interpreted differently. Since most medium-to-large organizations acknowledge the multi-dimensional nature of their operations, finding out the performance evaluations of various stakeholders can inform managerial decision-making. Thus, the main motivation for this study is to capture the interactions among different perceptions on a common set of performance measures. Using data envelopment analysis (DEA), we work with an approach that allows a flexible designation of inputs and outputs based on varying perspectives of five key stakeholders in banking. The versatile approach demonstrates that different views from the stakeholder universe can be summarily captured in DEA scores. A numerical example on Chinese commercial banks identifies the compliant (efficient) banks versus rigid (inefficient) banks, as well as the amenable stakeholders (those evaluating banks as efficient) versus the recalcitrant stakeholders (those evaluating banks as inefficient). The aligned views held by management and shareholders as evidenced by significant correlation among performance rankings imply reduced agency costs. Similarly, shared perceptions between customers and employees may encourage management to examine how this important business interface can be improved.

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    Bibliographic Info

    Article provided by Elsevier in its journal Omega.

    Volume (Year): 38 (2010)
    Issue (Month): 6 (December)
    Pages: 501-508

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    Handle: RePEc:eee:jomega:v:38:y:2010:i:6:p:501-508

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    Related research

    Keywords: DEA Multicriteria Banking Policy analysis;

    References

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    1. Joshua Kirkwood & Daehoon Nahm, 2006. "Australian Banking Efficiency and Its Relation to Stock Returns," The Economic Record, The Economic Society of Australia, vol. 82(258), pages 253-267, 09.
    2. Banker, Rajiv D. & Chang, Hsihui, 2006. "The super-efficiency procedure for outlier identification, not for ranking efficient units," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1311-1320, December.
    3. Chen, Yao, 2004. "Ranking efficient units in DEA," Omega, Elsevier, vol. 32(3), pages 213-219, June.
    4. Gordon E. Greenley, 1997. "Multiple Stakeholder Orientation in UK Companies and the Implications for Company Performance," Journal of Management Studies, Wiley Blackwell, vol. 34(2), pages 259-284, 03.
    5. Per Andersen & Niels Christian Petersen, 1993. "A Procedure for Ranking Efficient Units in Data Envelopment Analysis," Management Science, INFORMS, vol. 39(10), pages 1261-1264, October.
    6. Aida, Kazuo & Cooper, William W. & Pastor, Jésus T. & Sueyoshi, Toshiyuki, 1998. "Evaluating Water Supply Services in Japan with RAM: a Range-adjusted Measure of Inefficiency," Omega, Elsevier, vol. 26(2), pages 207-232, April.
    7. Chu, Sing Fat & Lim, Guan Hua, 1998. "Share performance and profit efficiency of banks in an oligopolistic market: evidence from Singapore," Journal of Multinational Financial Management, Elsevier, vol. 8(2-3), pages 155-168, September.
    8. Avkiran, Necmi K., 2009. "Opening the black box of efficiency analysis: An illustration with UAE banks," Omega, Elsevier, vol. 37(4), pages 930-941, August.
    9. Elena Beccalli & Barbara Casu & Claudia Girardone, 2006. "Efficiency and Stock Performance in European Banking," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 33(1-2), pages 245-262.
    10. Garcia-Cestona, Miguel & Surroca, Jordi, 2008. "Multiple goals and ownership structure: Effects on the performance of Spanish savings banks," European Journal of Operational Research, Elsevier, vol. 187(2), pages 582-599, June.
    11. A. Charnes & W. W. Cooper & E. Rhodes, 1981. "Evaluating Program and Managerial Efficiency: An Application of Data Envelopment Analysis to Program Follow Through," Management Science, INFORMS, vol. 27(6), pages 668-697, June.
    12. 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.
    13. Banker, Rajiv D. & Cooper, William W. & Seiford, Lawrence M. & Thrall, Robert M. & Zhu, Joe, 2004. "Returns to scale in different DEA models," European Journal of Operational Research, Elsevier, vol. 154(2), pages 345-362, April.
    14. Angel Prieto & José ZofIo, 2001. "Evaluating Effectiveness in Public Provision of Infrastructure and Equipment: The Case of Spanish Municipalities," Journal of Productivity Analysis, Springer, vol. 15(1), pages 41-58, January.
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    Citations

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    Cited by:
    1. Avkiran, Necmi K., 2011. "Association of DEA super-efficiency estimates with financial ratios: Investigating the case for Chinese banks," Omega, Elsevier, vol. 39(3), pages 323-334, June.
    2. Xiaopeng Yang & Hiroshi Morita, 2012. "A DEA model with identical weight assignment based on multiple perspectives," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 4(1), pages 18-35.
    3. Edelstein, Barak & Paradi, Joseph C., 2013. "Ensuring units invariant slack selection in radial data envelopment analysis models, and incorporating slacks into an overall efficiency score," Omega, Elsevier, vol. 41(1), pages 31-40.
    4. Verdecho, María-José & Alfaro-Saiz, Juan-Jose & Rodriguez-Rodriguez, Raul & Ortiz-Bas, Angel, 2012. "A multi-criteria approach for managing inter-enterprise collaborative relationships," Omega, Elsevier, vol. 40(3), pages 249-263.
    5. Assaf, A. George & Barros, Carlos & Sellers-Rubio, Ricardo, 2011. "Efficiency determinants in retail stores: a Bayesian framework," Omega, Elsevier, vol. 39(3), pages 283-292, June.
    6. Yang, Xiaopeng & Morita, Hiroshi, 2013. "Efficiency improvement from multiple perspectives: An application to Japanese banking industry," Omega, Elsevier, vol. 41(3), pages 501-509.
    7. Xu, Yan & Yeh, Chung-Hsing, 2012. "An integrated approach to evaluation and planning of best practices," Omega, Elsevier, vol. 40(1), pages 65-78, January.
    8. González-Pachón, Jacinto & Romero, Carlos, 2011. "The design of socially optimal decisions in a consensus scenario," Omega, Elsevier, vol. 39(2), pages 179-185, April.
    9. Avkiran, Necmi K. & Goto, Mika, 2011. "A tool for scrutinizing bank bailouts based on multi-period peer benchmarking," Pacific-Basin Finance Journal, Elsevier, vol. 19(5), pages 447-469, November.
    10. Epure, Mircea & Kerstens, Kristiaan & Prior, Diego, 2011. "Technology-based total factor productivity and benchmarking: New proposals and an application," Omega, Elsevier, vol. 39(6), pages 608-619, December.
    11. 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.
    12. Amado, Carla A.F. & Santos, Sérgio P. & Marques, Pedro M., 2012. "Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment," Omega, Elsevier, vol. 40(3), pages 390-403.

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