Understanding the Drivers of Islamic Credit Card Selection Using TRA Model: Evidence from Khyber Pakhtunkhwa, Pakistan

Khush Dil Khan (), Ikram Ullah Khan and Safeer Ullah Khan
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Khush Dil Khan: Institute of Management Sciences, University of Science and Technology, Bannu, KP, Pakistan
Ikram Ullah Khan: Institute of Management Sciences, University of Science and Technology, Bannu, KP, Pakistans
Safeer Ullah Khan: Institute of Business Administration, Gomal University, Dera Ismail Khan, KP, Pakistan

iRASD Journal of Economics, 2022, vol. 4, issue 4, 621-632

Abstract: This study investigates the drivers of Islamic Credit Card (ICC) adoption in Khyber Pakhtunkhwa (KP), Pakistan by using the extended Theory of Reasoned Action (TRA) model. Particularly, the study examines the impact of subjective norms, attitude, perceived financial cost, knowledge, and social influence on ICC selection. Using a convenient sampling technique, this study relied on self-administered questionnaires that were distributed among Islamic banks’ customers in Kohat and Bannu divisions. A total of 400 questionnaires were distributed, and 340 valid questionnaires were selected for the final analysis. The results from the regression analysis indicate that the factors i.e., subjective norm, customer attitudes, knowledge, and social influence have a positive and significant effect on the intentions to use the ICC, but perceived financial cost shows a negative effect on the intentions to use ICC. Among the predictors, the subjective norm was found a very influential driver to forecast the intention to use ICC. Our results provide insights to managers of Islamic banks, policymakers, and Sariah scholars to understand how to promote ICC.

Keywords: Islamic banking; Islamic credit card; Theory of Reasoned Action; Khyber Pakhtunkhwa; Pakistan (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:ani:irdjoe:v:4:y:2022:i:4:p:621-632

DOI: 10.52131/joe.2022.0404.0103

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