Determinants of Switching Barriers among Oman’s Retail Banking Consumers

Authors

  • FAIZA KIRAN
  • DR. NORHAZLINA BINTI IBRAHIM
  • PROF. MADYA DR. AMIR BIN SHAHARUDDIN

Keywords:

Switching barriers, Islamic Banking, switching cost, apathy, complexity

Abstract

This study examines the impact of switching barriers comprises of complexity, switching cost, locked-in, and apathy on the switching decision. The data were collected through a survey questionnaire from three cities (Muscat, Salalah, and Sohar) with a sample of 420 respondents. The participants were Omani nationals only. The data were analyzed using Structural Equation Modelling (SEM) Analysis using SPSS and AMOS software. The data were tested for the normality, descriptive analysis, reliability, correlation, exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). The result of the switching barriers indicates that apathy fail to influence the negative relationship with switching decision. However, switching cost, complexity and locked in had a negative impact on the decision to switch that creates barriers among the customers while switching from conventional banking to Islamic banking system. The study concludes that the government, management, and Shariah board of the Islamic banks should focus on establishing a robust and dynamic Islamic banking, which caters for customers’ needs. Finally, Islamic banking products and service, financial and non-financial strategies should address the customers’ financial needs and provide comprehensive banking services.

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References

Anderson, J.C., Gerbing, D.W., 1988. Structural equation modeling in practice: A review and recommended two-step approach. Psychol. Bull. 103 (3), 411e423.

Bhandari, V. 2014. Advent of Islamic Banks and the Emerging Banking Landscape in Sultanate of Oman. (July), 85–90.

Cain, M.K., Zhang, Z., Yuan, K.-H., 2017. Univariate and multivariate skewness and kurtosis for measuring nonnormality: Prevalence, influence and estimation. Behav. Res. Methods 49 (5), 1716e1735.

Capital, U. 2017. Omani Islamic Banking Sector. Retrieved from https://argaamplus.s3.amazonaws.com/bdf62bff-870a-4a3b-85ad-da9c294d58b0.pdf [Date Accessed : May 25, 2021]

Christoph F. Breidbach, R. B., & Hollebeek, L. 2014. Managing Service Quality Article information : Managing Service Quality, 24(6), 592–611.

Clemes, M. D., Gan, C., & Zhang, D. 2010. Customer switching behaviour in the Chinese retail banking industry developing overseas networks ; 28(7), 519–546.available at: https://doi.org/10.1108/02652321011085185 (Date Accessed: 12th December 2020)

Colgate, M. and Hedge, R. 2001. An investigation into the switching process in retail banking services. International Journal of Bank Marketing, 19(5), 201–212.

Committee, G. B. P. H. O. C. T. 2011. Competition and choice retail banking: ninth report of session 2010- 11, Vol 2: Oral and written evidence, The Stationery Office, 2011.

Edward, M. and Sahadev, L. 2011, “Role of switching costs in the service quality, perceived value, customer satisfaction and customer retention linkage”, Asia Pacific Journal of Marketing and Logistics, Vol. 23 No. 3, pp. 327-345.

Fazlan, S., and Mohammad, A. 2007. The efficiency of Islamic Banks: Empirical evidence from the MENA and Asian countries Islamic banking sectors. Proceedings of the Fifth International Islamic Finance Conference,336-348.

Gaskin, J., James, M., & Lim, J. 2016. AMOS Plugin. Gaskination’s StatWiki. Model fit measures.

Gefen, D., & Straub, D. W. 2004. Consumer trust in B2C e-commerce and the importance of social presence: experiments in e-products and e-services. Omega, 32(6), 407–424.

Gumel, A., & Othman, M. 2013. Reflecting customers’ innovativeness and intention to adopt islamic banking in Nigeria / Ahmad Muhammad Gumel and Mohammad Azmi Othman. Business and Management Quarterly Review (BMQR), 4(3&4), 27–37.

Hahn, E.D., Ang, S.H., 2017. From the editors: new directions in the reporting of statistical results in the Journal of World Business. J. World Bus. 52 (2), 125e126.

Hair, J.F., Risher, J.J., Sarstedt, C.M., Ringle, C.M., 2019. When to use and how to report the results of PLS-SEM. Eur. Bus. Rev. 31 (1), 2e24.

Henseler, J., Ringle, C., Sarstedt, M., 2015. A new criterion for assessing discriminant validity in variance- based structural equation modeling. J. Acad. Mark. Sci. 43 (1), 115e135.

Harrison, M., Beatty, S., Reynolds, K., & Noble, S. 2012. Why customers feel locked into relationships: Using qualitative research to uncover the lock-in factors. Journal of Marketing Theory and Practice, 20(4), 391–406.

Hu, L. T., & Bentler, P. M. 1999. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal, 6(1), 1-55.

Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. 2000. Switching Barriers and Repurchase Intentions in Services. 76(2), 259–274.

KA, A. G., & EM, A. 2017. Customers’ Switching Intention in Oman’s Banking Industry. Journal of Business & Financial Affairs, 06(02). https://doi.org/10.4172/2167-0234.1000270 [Date Accessed : May 24, 2020]

Kock, N., Lynn, G., 2012. Lateral collinearity and misleading results in variance- based SEM: an illustration and recommendations. J. Assoc. Inf. Syst. 13 (7), 546-580.

Listyarini, O. 2009. The adoption of push-pull and mooring model for small industry in Indonesia. Jurnal Ekonomi dan Bisnis, XV, 75-88.

Liu, A. 2006, “Customer value and switching costs in business services: developing exit barriers through strategic value management”, Journal ofBusiness & Industrial Marketing, Vol. 21 No. 1, pp. 30-7.

Misbah, H. 2014. Customer Switching Behaviour : An Exploratory Study of Predictive Factors in the UK Retail Banking Context. Retrieved from https://www.era.lib.ed.ac.uk/bitstream/handle/1842/17597/Misbah2014.pdf?sequence=2&isAllowed=y [Date Accessed : May 25, 2021]

Mohammed, S., Sha, N., & Uddin, M. A. 2017. Determinants of Islamic Banks Acceptance in Oman. International Review of Management and Marketing, 7(1), 398–402.

Mubeen, S. A., Kulkarni, N. A., & Al Hussaini, Y. K. 2014. The Future of Islamic Banking in Sultanate of Oman. International Journal of Economics and Finance, 6(5), 203–209. https://doi.org/10.5539/ijef.v6n5p203 [Date Accessed : May 25, 2021]

Ramayah, T., Cheah, J., Chuah, F., Ting, H., Memon, M.A., 2018. Partial Least Squares Structural Equation Modeling (PLS-SEM) Using SmartPLS 3.0: an Updated Guide and Practical Guide to Statistical Analysis. In: Kuala Lumpur, second ed. Pearson, Malaysia.

Yogesh Hole et al 2019 J. Phys.: Conf. Ser. 1362 012121.

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Published

2021-06-30

How to Cite

KIRAN, F. ., IBRAHIM, D. N. B. ., & SHAHARUDDIN, P. M. D. A. B. . (2021). Determinants of Switching Barriers among Oman’s Retail Banking Consumers. The Journal of Contemporary Issues in Business and Government, 27(3), 2734–2743. Retrieved from https://cibgp.com/au/index.php/1323-6903/article/view/1884