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Using a Multi-Criteria Group Decision Making Approach to Select Merged Strategies for Commercial Banks

Author

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  • Tien-Chin Wang

    (I-Shou University)

  • Ying-Ling Lin

    (I-Shou University)

Abstract

This investigation develops an analytic hierarchy framework to help banks choose development strategies according to six main criteria comprising 41 attributes, namely management performance, staff rights and interests, customer orientation, financial analysis, government policy and risk management. Questionnaires are administered to compare the priorities of different criteria and the ratings of feasible developmental strategies amongst decision makers and respondents including bank superintendents (Department of Finance), economists, shareholders, customers, executives and staff of the Bank of Kaohsiung, Taiwan. Additionally, the analytic hierarchy process and consistent fuzzy preference relation are used to improve consistency and effectiveness in decision making. The analytical results reveal that risk management and customer orientation are the most important considerations for the Bank of Kaohsiung in the development of a strategy selection. Furthermore, the staff select the best futuristic policy on “focusing on core business competitiveness to become a specialized and stable bank,” whereas the other five groups choose the strategy of “merging with other finance organizations to become an existing bank.”

Suggested Citation

  • Tien-Chin Wang & Ying-Ling Lin, 2009. "Using a Multi-Criteria Group Decision Making Approach to Select Merged Strategies for Commercial Banks," Group Decision and Negotiation, Springer, vol. 18(6), pages 519-536, November.
    • Handle: RePEc:spr:grdene:v:18:y:2009:i:6:d:10.1007_s10726-008-9112-3
    DOI: 10.1007/s10726-008-9112-3
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    References listed on IDEAS

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    1. Peristiani, Stavros, 1997. "Do Mergers Improve the X-Efficiency and Scale Efficiency of U.S. Banks? Evidence from the 1980s," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(3), pages 326-337, August.
    2. Wei, Chun-Chin & Chien, Chen-Fu & Wang, Mao-Jiun J., 2005. "An AHP-based approach to ERP system selection," International Journal of Production Economics, Elsevier, vol. 96(1), pages 47-62, April.
    3. Mihelis, G. & Grigoroudis, E. & Siskos, Y. & Politis, Y. & Malandrakis, Y., 2001. "Customer satisfaction measurement in the private bank sector," European Journal of Operational Research, Elsevier, vol. 130(2), pages 347-360, April.
    4. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    5. Luo, Xueming, 2003. "Evaluating the profitability and marketability efficiency of large banks: An application of data envelopment analysis," Journal of Business Research, Elsevier, vol. 56(8), pages 627-635, August.
    6. Emel, Ahmet Burak & Oral, Muhittin & Reisman, Arnold & Yolalan, Reha, 2003. "A credit scoring approach for the commercial banking sector," Socio-Economic Planning Sciences, Elsevier, vol. 37(2), pages 103-123, June.
    7. Herrera, F. & Herrera-Viedma, E. & Chiclana, F., 2001. "Multiperson decision-making based on multiplicative preference relations," European Journal of Operational Research, Elsevier, vol. 129(2), pages 372-385, March.
    8. Herrera-Viedma, E. & Herrera, F. & Chiclana, F. & Luque, M., 2004. "Some issues on consistency of fuzzy preference relations," European Journal of Operational Research, Elsevier, vol. 154(1), pages 98-109, April.
    9. Wang, Tien-Chin & Chen, Yueh-Hsiang, 2007. "Applying consistent fuzzy preference relations to partnership selection," Omega, Elsevier, vol. 35(4), pages 384-388, August.
    10. Chiclana, F. & Herrera-Viedma, E. & Herrera, F. & Alonso, S., 2007. "Some induced ordered weighted averaging operators and their use for solving group decision-making problems based on fuzzy preference relations," European Journal of Operational Research, Elsevier, vol. 182(1), pages 383-399, October.
    11. James B. Thomson, 1991. "Predicting bank failures in the 1980s," Economic Review, Federal Reserve Bank of Cleveland, vol. 27(Q I), pages 9-20.
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