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Bank selection factors in the banking industry: An empirical investigation from potential customers in Northern Cyprus

Author

Listed:
  • S. T. Katircioglu

    (Eastern Mediterranean University, Department of Banking and Finance, P.O. Box 95, Famagusta, North Cyprus, Via Mersin 10, Cyprus)

  • S. Fethi

    (Department of Business Administration, Eastern Mediterranean University, Famagusta, Northern Cyprus, Turkey)

  • D. Unlucan

    (Department of Business Administration, Eastern Mediterranean University, Famagusta, Northern Cyprus, Turkey)

  • I. Dalci

    (Department of Business Administration, Eastern Mediterranean University, Famagusta, Northern Cyprus, Turkey)

Abstract

This study investigates the bank selection criteria of undergraduate students who are future potential customers of banks from different regions of the world in a small island economy by comparing the selection factors of international students for the first time. Survey results of 258 respondents show that there are not huge differences in the bank selection factors between Turkish and non-Turkish international students in the case of a state university in North Cyprus. “Availability and convenient location of ATM services” and “speed and quality of service” are the most important factors for considering banks and their services for both Turkish and non-Turkish undergraduate students.

Suggested Citation

  • S. T. Katircioglu & S. Fethi & D. Unlucan & I. Dalci, 2011. "Bank selection factors in the banking industry: An empirical investigation from potential customers in Northern Cyprus," Acta Oeconomica, Akadémiai Kiadó, Hungary, vol. 61(1), pages 77-89, March.
    • Handle: RePEc:aka:aoecon:v:61:y:2011:i:1:p:77-89
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    Citations

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    Cited by:

    1. Teymur Akhundov, 2024. "Factors Influencing Customers’ Bank Selection Decision in Azerbaijan," ACTA VSFS, University of Finance and Administration, vol. 18(1), pages 68-91.
    2. Ali Polat & Mehmet Yesilyaprak & Raci Kaya, 2014. "Understanding Islamic Bank Selection of Customers: A Field Research from Turkish Participation Banks," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 5(4), pages 22-38, October.
    3. Harpreet Kaur & Sangeeta Arora, 2019. "Demographic influences on consumer decisions in the banking sector: evidence from India," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 24(3), pages 81-93, December.
    4. Abednego Feehi Okoe & Aihie Osarenkhoe & Robert E. Hinson, 2013. "Using the Analytical Hierarchy Process Framework to Study Bank Selection Criteria of Students in Institute of Professional Studies in Ghana," Journal of Management and Strategy, Journal of Management and Strategy, Sciedu Press, vol. 4(3), pages 27-38, August.
    5. Silvio John Camilleri & Denise Ellul, 2017. "Younger Customers' Outlooks when Selecting and Changing a Financial Services Provider: The Case of Maltese Students," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 8(2), pages 51-63, April.
    6. Dóra Szili & Tibor Guzsvinecz & Judit Szűcs, 2022. "How Banks Were Chosen and Rated in Hungary before and during the COVID-19 Pandemic," Sustainability, MDPI, vol. 14(11), pages 1-16, May.
    7. Rotimi Cephas Oluwaseyitan & Haslinda Hashim & Raja Nerina Raja Yusof, 2018. "Determinants of Bank Selection: An International Student Perspective," 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. 8(5), pages 741-761, May.

    More about this item

    Keywords

    bank selection factors; undergraduate students; university;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing

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