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Performance Evaluation and Ranking the Branches of Bank using FAHP and TOPSIS Case study: Tose Asr Shomal Interest-free Loan Fund

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  • Aliasghar Aliakbarzadeh
  • Akbar Alem Tabriz

Abstract

There is no denial of the fact that performance evaluation is a critical managerial attempt in any organization especially financial institutions such as banks. MCDM methods have been utilized as efficient and common tools in many fields such as finance and economy and attract significant attention from public and financial regulators. The numerous opinions and enormous criteria associated with bank performance evaluation confines the implication of any single objective model. Therefore, multi-criteria decision making approach has been applied for this purpose. Fuzzy AHP and TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution method) are implemented to accomplish more ideal level of performance evaluation and to reveal the ranking of branches and identify the ones taking leading positions in the market. This paper aims at rating the branches of Tose Asr Shomal Interest-free Loan Funds based on financial and non-financial performance criteria extracted from related literature and experts' viewpoints. The weights of criteria were gained by AHP using experts' opinions. Moreover, at non-financial level, a LIKERT questionnaire was used to gather customers' viewpoints. After getting the financial data of the year 2013-2014, the branches were rated using TOSIS. The results revealed that the financial criteria had higher importance than nonfinancial ones and by synthesizing financial and non-financial performance; Keshavarz branch attained the first rank among the 13 branches.

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  • Aliasghar Aliakbarzadeh & Akbar Alem Tabriz, 2014. "Performance Evaluation and Ranking the Branches of Bank using FAHP and TOPSIS Case study: Tose Asr Shomal Interest-free Loan Fund," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(12), pages 199-217, December.
  • Handle: RePEc:hur:ijarbs:v:4:y:2014:i:12:p:199-217
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    1. Ahmed Mohamed Badreldin, 2009. "Measuring the Performance of Islamic Banks by Adapting Conventional Ratios," Working Papers 16, The German University in Cairo, Faculty of Management Technology.
    2. R. E. Bellman & L. A. Zadeh, 1970. "Decision-Making in a Fuzzy Environment," Management Science, INFORMS, vol. 17(4), pages 141-164, December.
    3. Lau, Chong M. & Sholihin, Mahfud, 2005. "Financial and nonfinancial performance measures: How do they affect job satisfaction?," The British Accounting Review, Elsevier, vol. 37(4), pages 389-413.
    4. E. Grigoroudis & E. Tsitsiridi & C. Zopounidis, 2013. "Linking customer satisfaction, employee appraisal, and business performance: an evaluation methodology in the banking sector," Annals of Operations Research, Springer, vol. 205(1), pages 5-27, May.
    5. Philip Gerrard & J. Barton Cunningham, 2005. "The service quality of e-banks: an exploratory study," International Journal of Financial Services Management, Inderscience Enterprises Ltd, vol. 1(1), pages 102-117.
    6. Christian Kalhoefer & Rania Salem, 2008. "Profitability Analysis in the Egyptian Banking Sector," Working Papers 7, The German University in Cairo, Faculty of Management Technology.
    7. Malcolm Abbott & Su Wu & Wei Wang, 2013. "The productivity and performance of Australia’s major banks since deregulation," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 37(1), pages 122-135, January.
    8. Tser‐yieth Chen & Chie‐Bein Chen & Sin‐Ying Peng, 2008. "Firm operation performance analysis using data envelopment analysis and balanced scorecard," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 57(7), pages 523-539, September.
    9. Manabendra N. Pal & Koushiki Choudhury, 2009. "Exploring The Dimensionality Of Service Quality: An Application Of Topsis In The Indian Banking Industry," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 26(01), pages 115-133.
    10. Fernando A. F. Ferreira & Sérgio P. Santos & Paulo M. M. Rodrigues & Ronald W. Spahr, 2014. "Evaluating retail banking service quality and convenience with MCDA techniques: a case study at the bank branch level," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 15(1), pages 1-21, February.
    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. K. Kosmidou & F. Pasiouras & M. Doumpos & C. Zopounidis, 2006. "Assessing performance factors in the UK banking sector: A multicriteria methodology," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 14(1), pages 25-44, February.
    13. Paulo M.M. Rodrigues & Fernando A. F. Ferreira, 2011. "Evaluating retail banking quality service and convenience with MCDA techniques: a case study at the bank branch level," Working Papers w201131, Banco de Portugal, Economics and Research Department.
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    Cited by:

    1. Ayfer Basar & Özgür Kabak & Y. Ilker Topcu, 2017. "A Decision Support Methodology for Locating Bank Branches: A Case Study in Turkey," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 59-86, January.
    2. Fengsheng Chien & Chia-Nan Wang & Ka Yin Chau & Van Thanh Nguyen & Viet Tinh Nguyen, 2021. "Sustainability in the Business Sector: A Fuzzy Multicriteria Decision-Making Model for Financial Leasing Company Selection of the Vietnamese SMEs," SAGE Open, , vol. 11(3), pages 21582440211, July.

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