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A DEA model with identical weight assignment based on multiple perspectives

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  • Xiaopeng Yang
  • Hiroshi Morita

Abstract

For a complicated banking system with various financial attributes, there are usually different classifications of inputs and outputs from the perspectives of different stakeholders. In order to obtain the highest efficiency score, different perspectives tend to select different weight assignment schemes, even in evaluating the same bank. In order to balance multiple perspectives (Pareto optimality) based on their market statuses and evaluate DMU more objectively, we propose a new DEA model incorporating Nash bargaining game (NBG) theory, which focuses on seeking an identical weight assignment scheme to cater to multiple perspectives.

Suggested Citation

  • 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.
    • Handle: RePEc:ids:injams:v:4:y:2012:i:1:p:18-35
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    References listed on IDEAS

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    1. Bergendahl, Goran & Lindblom, Ted, 2008. "Evaluating the performance of Swedish savings banks according to service efficiency," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1663-1673, March.
    2. 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.
    3. Nash, John, 1950. "The Bargaining Problem," Econometrica, Econometric Society, vol. 18(2), pages 155-162, April.
    4. Banker, Rajiv D., 1984. "Estimating most productive scale size using data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 17(1), pages 35-44, July.
    5. Charnes, A. & Cooper, W. W. & Rhodes, E., 1978. "Measuring the efficiency of decision making units," European Journal of Operational Research, Elsevier, vol. 2(6), pages 429-444, November.
    6. 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.
    7. Avkiran, Necmi K. & Morita, Hiroshi, 2010. "Benchmarking firm performance from a multiple-stakeholder perspective with an application to Chinese banking," Omega, Elsevier, vol. 38(6), pages 501-508, December.
    8. 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.
    9. Reza Kiani Mavi & Ahmad Makui & Safar Fazli & Alireza Alinezhad, 2010. "A forecasting method in data envelopment analysis with group decision making," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 2(2), pages 152-168.
    10. Herbert Lewis & Thomas Sexton, 2004. "Data Envelopment Analysis with Reverse Inputs and Outputs," Journal of Productivity Analysis, Springer, vol. 21(2), pages 113-132, March.
    11. Fadzlan Sufian, 2010. "Evolution in the efficiency of the Indonesian banking sector: a DEA approach," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 2(4), pages 388-414.
    12. Rashmi Malhotra & D.K. Malhotra & C. Andrew Lafond, 2009. "Analysing financial services industry using data envelopment analysis," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 1(3), pages 217-246.
    13. Scheel, Holger, 2001. "Undesirable outputs in efficiency valuations," European Journal of Operational Research, Elsevier, vol. 132(2), pages 400-410, July.
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