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Fuzzy Evaluation Of Service Quality In The Banking Sector: A Decision Support System

Author

Listed:
  • Udo Braendle

    (Department of Business and Economics at the American University in Dubai.)

  • Sahar Sepasi

    (Faculty of Management and Economics, Tarbiat Modares University in Tehran, Iran.)

  • Amir Hossein Rahdari

    (Faculty of Management and Economics, Tarbiat Modares University in Tehran, Iran.)

Abstract

This study aims at proposing a modified 7-category fuzzy SERVQUAL to measure service quality for the banking sector. We have added new categories to the conventional SERVQUAL to account for the impacts of the bank’s Corporate Social Responsibility (CSR) initiatives, and e-banking. A questionnaire was distributed among the banks’ customers to measure the criteria’s weights, perceived performance and expected performance. We use the criteria weights, perceived performance and expected performance to test the proposed index for three of the largest Iran’s banks, namely: Bank Melli Iran, Bank Mellat and Bank Saderat Iran which henceforth will be referred to as banks A, B, C throughout the study. A simple Decision Support System (DSS) was devised to determine the most successful bank with regard to CS using Gap model. The result of this study showed that Bank B has the lowest weighted performanceexpectation gap (-0.051) among the three banks. It also has the highest average performance score in all dimensions and rank the best on 22 out of 30 criteria. Finally, sensitivity analyses are conducted to assess the impact of criteria weights and fuzzy numbers on the evaluation/ranking process. The resultant index helps managers in micro, meso and macro levels to detect the frailty zones and atone for the dissatisfying functions.

Suggested Citation

  • Udo Braendle & Sahar Sepasi & Amir Hossein Rahdari, 2014. "Fuzzy Evaluation Of Service Quality In The Banking Sector: A Decision Support System," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(2), pages 47-79, November.
    • Handle: RePEc:fzy:fuzeco:v:xix:y:2014:i:2:p:47-79
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    More about this item

    Keywords

    banking; customer satisfaction; decision support systems; SERVQUAL; fuzzy sets; marketing;
    All these keywords.

    JEL classification:

    • M39 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Other
    • M19 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Other
    • C49 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Other

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