Determinants of Behavioral Intentions to Use Islamic Financial Technology: An Empirical Assessment
Mohammad Shahfaraz Khan,
Mustafa Raza Rabbani,
Iqbal Thonse Hawaldar and
Abu Bashar
Additional contact information
Mohammad Shahfaraz Khan: Department of Business Administration, University of Technology and Applied Sciences-Salalah, Salalah 215, Oman
Mustafa Raza Rabbani: Department of Economics and Finance, College of Business Administration, University of Bahrain, Zallaq P.O. Box 32038, Bahrain
Iqbal Thonse Hawaldar: Department of Finance and Accounting, College of Business Administration, Kingdom University, Riffa P.O. Box 40434, Bahrain
Abu Bashar: School of Management, IMS Unison University, Dehradun 248009, India
Risks, 2022, vol. 10, issue 6, 1-13
Abstract:
This study examines the antecedents/determinants of behavioral intentions toward the utilization of Islamic financial technology for Middle Eastern customers. The study applied structural equation modeling (PLS-SEM). After robust research efforts were invested in the identification of factors, they and were converted into measures, and the results were analyzed. The results demonstrate that the independent variables shown in the UTAUT model have a significant impact on the behavior to adopt Islamic financial technology, which implies that the people are ready to use Islamic financial technology while making online transactions. The work in this study adds to the knowledge regarding the factors affecting behavioral intention to use Islamic fintech, as there is scarcity of studies in this domain, especially in the context of Middle Eastern online customers. Moreover, this study also considers the major categories of online payments.
Keywords: structural equation modeling; partial least square method; regression; Islamic financial technology; UTAUT model; empirical assessment (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (3)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jrisks:v:10:y:2022:i:6:p:114-:d:828261
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