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A fuzzy analytic hierarchy process model for customers’ bank selection decision in the Kingdom of Bahrain

Author

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  • Minwir Al-Shammari

    (University of Bahrain)

  • Mehdi Mili

    (University of Bahrain)

Abstract

Ranking the priorities of customers in selecting commercial banks is essential for the elaboration of bank development strategies. The purpose of this paper is to implement a fuzzy analytic hierarchy process (FAHP) multi-criteria decision model for commercial banks selection by customers. Six criteria and five Bahraini retail commercial banks are used to formulate a decision problem structured in three-level hierarchies. After structuring the hierarchies, the FAHP is applied to determine the relative weights of the evaluation criteria. The results show that most selected banks focus on pricing strategy more than bank facilities. Interest rates on credits and deposits as well as transaction costs are the main factors used to attract customers. The study provides several implications for decision makers to develop the appropriate strategies towards their customers’ preferences. An extensive numerical example for sensitivity analysis demonstrates the strength and plausibility of the FAHP approach.

Suggested Citation

  • Minwir Al-Shammari & Mehdi Mili, 2021. "A fuzzy analytic hierarchy process model for customers’ bank selection decision in the Kingdom of Bahrain," Operational Research, Springer, vol. 21(3), pages 1429-1446, September.
  • Handle: RePEc:spr:operea:v:21:y:2021:i:3:d:10.1007_s12351-019-00496-y
    DOI: 10.1007/s12351-019-00496-y
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    References listed on IDEAS

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    1. Munda, G. & Nijkamp, P. & Rietveld, P., 1995. "Qualitative multicriteria methods for fuzzy evaluation problems: An illustration of economic-ecological evaluation," European Journal of Operational Research, Elsevier, vol. 82(1), pages 79-97, April.
    2. Mandic, Ksenija & Delibasic, Boris & Knezevic, Snezana & Benkovic, Sladjana, 2014. "Analysis of the financial parameters of Serbian banks through the application of the fuzzy AHP and TOPSIS methods," Economic Modelling, Elsevier, vol. 43(C), pages 30-37.
    3. Bottani, Eleonora & Rizzi, Antonio, 2006. "Strategic management of logistics service: A fuzzy QFD approach," International Journal of Production Economics, Elsevier, vol. 103(2), pages 585-599, October.
    4. Frei, Frances X. & Harker, Patrick T., 1999. "Measuring aggregate process performance using AHP," European Journal of Operational Research, Elsevier, vol. 116(2), pages 436-442, July.
    5. Javalgi, Rajshekhar G. & Armacost, Robert L. & Hosseini, Jamshid C., 1989. "Using the analytic hierarchy process for bank management: Analysis of consumer bank selection decisions," Journal of Business Research, Elsevier, vol. 19(1), pages 33-49, August.
    6. Chan, Felix T.S. & Kumar, Niraj, 2007. "Global supplier development considering risk factors using fuzzy extended AHP-based approach," Omega, Elsevier, vol. 35(4), pages 417-431, August.
    7. Moez Ltifi & Lubica Hikkerova & Boualem Aliouat & Jameleddine Gharbi, 2016. "The determinants of the choice of Islamic banks in Tunisia," Post-Print halshs-01267061, HAL.
    8. Saunders, Anthony & Schumacher, Liliana, 2000. "The determinants of bank interest rate margins: an international study," Journal of International Money and Finance, Elsevier, vol. 19(6), pages 813-832, December.
    9. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    10. Mirza Hassan Hosseini & Elham Keshavarz, 2017. "Using fuzzy AHP and fuzzy TOPSIS for strategic analysis measurement of service quality in banking industry," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 9(1), pages 55-80.
    11. Chang, Da-Yong, 1996. "Applications of the extent analysis method on fuzzy AHP," European Journal of Operational Research, Elsevier, vol. 95(3), pages 649-655, December.
    12. Mikhailov, L., 2004. "A fuzzy approach to deriving priorities from interval pairwise comparison judgements," European Journal of Operational Research, Elsevier, vol. 159(3), pages 687-704, December.
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