Research Article
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Year 2022, , 95 - 122, 01.05.2022
https://doi.org/10.26650/ibr.2022.51.901498

Abstract

References

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Behavioural Aspects of Customers’ Preference for Participation Banks: Evidence with Turkish Data

Year 2022, , 95 - 122, 01.05.2022
https://doi.org/10.26650/ibr.2022.51.901498

Abstract

Participation banks (PBs) are distinct from other banks in that they operate on an interest-free principle. This study aims to investigate the behavioural aspects of individual customers who prefer PBs when choosing a bank. The study covers 12 regional levels throughout Turkey determined by the Turkish Statistical Institute (TURKSTAT). A multidimensional measurement model has been created that can measure the behavioural aspects of PB customers. In line with the maximum likelihood calculation technique due to normal distribution of collected data, the question of whether or not the measurement model is compatible with the data set has been tested using methods of Exploratory Factor Analysis and Confirmatory Factor Analysis. As a data collection tool, the survey form is used and survey form data for a total of 440 customers are analysed. According to the results of the study, it is determined that attitude, social influence, religious sensitivity, experience, accuracy, awareness, trust, benevolence and cost factors are determinant in the transformation of behavioural intentions into actual behaviour when customers choose PBs. Among these factors, the factors that best explain intention are benevolence, attitude, social influence and accuracy, whereas with the cost incurred in banking transactions, traditional and social media ads directed at PBs have a relatively lower ability to explain behaviour.

References

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  • Aksu, G., Eser, M.T., & Güzeller, C.O. (2017). Açımlayıcı ve doğrulayıcı faktör analizi ile yapısal eşitlik modeli uygulamaları (1.bs). Ankara: Detay.
  • Albarq, A.N., & Alsughayir, A. (2013). Examining theory of reasoned action in internet banking using SEM among Saudi consumers. International Journal of Marketing Practices, 1(1), 16-30.
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  • Ali, M., Raza, S.S., & Puah, C.H. (2015). Factor affecting intention to use Islamic personal financing in Pakistan: Evidence from the modified TRA model. MPRA Paper, 1-28. Alrifai, T. (2017). İslami finans ve yeni finansal sistem (1.bs). Ankara: Buzdağı.
  • Al-Sharif, B. M., Qwader, A., & Al-Slehat, Z. A. F. (2017). The effect of promotion strategy in the Jordanian Islamic bank on a number of customers. International Journal of Economics and Finance, 9(2), 81-88. doi: 10.5539/ijef.v9n2p81
  • Altunışık, R., Çoşkun, R., Bayraktaroğlu, S., & Yıldırım, E. (2010). Sosyal bilimlerde araştırma yöntemleri SPSS uygulamalı (6.bs). İstanbul: Sakarya.
  • Amin, H., Rahman, R.A., Sondoh Jr, S.L., & Hwa, M.C. (2011). Determinants of customers’ intention to use Islamic personal financing. Journal of Islamic Accounting and Business Research, 2(1), 22-42. doi:10.1108/17590811111129490
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  • Awan, H.M., & Bukhari, K.S. (2011). Customers’ criteria for selecting and Islamic bank: Evidence from Pakistan. Journal of Islamic Marketing, 2(1), 14-27. doi: 10.1108/17590831111115213
  • Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equations models. Journal of the Academy of Marketing Science, 16(1), 74-94. doi:10.1007/BF02723327 Bayram, N. (2013). Yapısal eşitlik modellemesine giriş. Bursa: Ezgi.
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  • Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. K. A. Bollen & J. S. Long (Eds.), Testing structural equation models (pp. 1-10). Beverly Hills: Sage. BRSA-Banking Regulation and Supervision Agency. (2020). Türk bankacılık sektörü temel göstergeleri. Ankara: BRSA.
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  • Chau, P. Y.K., & Hu, P. J. H. (2001). Information technology acceptance by individual professionals: A model comparison approach. Decision Sciences, 32(4), 699-719. doi:10.1111/j.1540-5915.2001.tb00978.x
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  • Cronbach, L. J. (1946). A case study of the split-half reliability coefficient. Journal of Educational Psychology, 37(8), 473-480. doi:10.1037/h0054328
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  • Durmuş, B., Yurtkoru, S., & Çinko, M. (2018). Sosyal bilimlerde SPSS ile veri analizi (7.bs). İstanbul: Beta.
  • Dusuki, A.W., & Abdullah, N.I. (2007). Why do Malaysian customers patronise Islamic banks. International Journal of Bank Marketing, 25(3), 142-160. doi: 10.1108/02652320710739850
  • Erol, C., & El-Bdour, R. (1989). Attitudes, behaviour and patronage factors of bank customers towards Islamic bank. International Journal of Bank Marketing, 7(6), 31-37. doi: 10.1108/02652328910132060
  • Field, A. (2000). Discovering statistics using SPSS for windows. Thousand Oaks, CA: Sage.
  • Fishbein, M., & Ajzen, I. (1975). Belief, attitude, intention and behavior: An introduction to theory and research. Addison-Wesley: Reading MA.
  • Ford, J. K., MacCallum, R. C., & Tait, M. (1986). The application of exploratory analysis in applied psychology: A critical review and analysis. Personnel Psychology, 39(2), 291-314. doi:10.1111/j.1744-6570.1986.tb00583.x
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There are 98 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Articles
Authors

Tolga Ergün

Hüseyin Dagli 0000-0002-2416-9340

Publication Date May 1, 2022
Submission Date March 22, 2021
Published in Issue Year 2022

Cite

APA Ergün, T., & Dagli, H. (2022). Behavioural Aspects of Customers’ Preference for Participation Banks: Evidence with Turkish Data. Istanbul Business Research, 51(1), 95-122. https://doi.org/10.26650/ibr.2022.51.901498

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