Islamic financial technology acceptance: An empirical study in Jordan

Abstract: The present research endeavors to comprehend the determinants that impact the inclination to utilize financial technology within the context of Islamic banking clientele. The study undertakes an examination of various determinants that may exert an influence on the consumer's intention. These determinants encompass financial risk, legal risk, security risk, operational risk, consumer innovativeness, perceived ease of use, and perceived usefulness. The technology acceptance model is employed as the theoretical framework for the research. The requisite data for hypothesis testing is collected through the administration of an online survey to consumers of Islamic banks who possess a high degree of adaptability and proficiency in utilizing financial technology. The study employs the methodology of structural equation modelling with partial least squares to assess the proposed relationships among a sample of 399 participants. The results indicate that the acceptance of Islamic Financial technology services is contingent upon the perceived ease of use, perceived usefulness, and consumer innovativeness. In contrast, it is observed that various other factors, namely financial risk, legal risk, security risk, and operational risk, do not hold significant sway in shaping the level of acceptance of Islamic Financial technology among users of Islamic banking services. The concept of Technology Acceptance Model (TAM) is expanded within the realm of Islamic financial technology, and it is utilized to examine the impact of a novel factor, specifically consumer innovativeness. The untested nature of consumer innovativeness makes this paper a valuable resource for policymakers, academics, and researchers in the future.

How to cite this paper

 Alnsour, I., Alghadi, M., Ahmad, A., Alibraheem, M., Altahat, S., Al-Smadi, R & Alshboul, K. (2023). Islamic financial technology acceptance: An empirical study in Jordan.International Journal of Data and Network Science, 7(4), 1659-1668.

Refrences

Al Zoubib, A. I. S., & Jali, M. Z. (2014, June). An integrated success adoption model for examining E-learning among adult workers in Jordan. In 2014 International Conference on Computer and Information Sciences (ICCOINS) (pp. 1-4). IEEE.
Ali, O. A. M., Matarneh, A. J., Almalkawi, A., & Mohamed, H. (2020). The impact of cyber governance in reducing the risk of cloud accounting in Jordanian commercial banks-from the perspective of Jordanian auditing firms. Modern Ap-plied Science, 14(3), 75-89.
Alkhawaldeh, B., Alhawamdeh, H., Al-Afeef, M., Al-Smadi, A., Almarshad, M., Fraihat, B., ... & Alaa, A. (2023). The ef-fect of financial technology on financial performance in Jordanian SMEs: The role of financial satisfaction. Uncertain Supply Chain Management, 11(3), 1019-1030.
Alsmadi, A. A., Moh'd Al_hazimeh, A., Al-Afeef, M. A., Al-Smadi, A. W., Rifai, F., & Al-Okaily, M. (2023). Banking services transformation and financial technology role. Information Sciences Letters, 12(1), 315-324.
Alsoboa, S. S. (2022). The Expected Future Effect of Financial Technology on Sustainable development in Jordan. 2022 WEI.
Alzoubi, M. I., & Alzoubi, A. I. (2019). An Investigation of Factors Affecting E-Marketing Customers’ Behavioral Inten-tion to Use the Telecommunication Industry in Jordan. International Journal of Marketing Studies, 11(3), 125-130.
Amin, H., Abdul‐Rahman, A. R., Ramayah, T., Supinah, R., & Mohd‐Aris, M. (2014). Determinants of online waqf ac-ceptance: An empirical investigation. The Electronic Journal of Information Systems in Developing Countries, 60(1), 1-18.
Bhat, J. R., AlQahtani, S. A., & Nekovee, M. (2023). FinTech enablers, use cases, and role of future internet of things. Journal of King Saud University-Computer and Information Sciences, 35(1), 87-101.
Chin, Y. L., Mohd Suki, N., & Ibrahim, A. (2005). Determinants of intention to use an online bill payment system among MBA students. E-business, (9), 80-91.
Chiu, Y. T. H., & Nguyen, D. M. (2022). Service failure and self-recovery in tech-based services: self-determination theo-ry perspective. The Service Industries Journal, 42(13-14), 1075-1100.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340.
Derbaix, C. (1983). Perceived risk and risk relievers: An empirical investigation. Journal of economic psychology, 3(1), 19-38.
Estrin, S., Gozman, D., & Khavul, S. (2018). The evolution and adoption of equity crowdfunding: entrepreneur and inves-tor entry into a new market. Small Business Economics, 51, 425-439.
Fauziah, Taib, Ramayah, T., & Abdul Razak, D. (2008). Factors influencing intention to use diminishing partnership home financing. International Journal of Islamic and Middle Eastern Finance and Management, 1(3), 235-248.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Ghaith, M. M., & Ghaith, Y. M. (2022). Impact Of E-Payment System On Consumer Buying Behavior: A Study In Jordan. Journal of Positive School Psychology, 6(8), 3813-3824.
Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. In-formation & management, 39(8), 705-719.
Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the fintech revolution: Interpreting the forces of in-novation, disruption, and transformation in financial services. Journal of management information systems, 35(1), 220-265.
Gopi, M., & Ramayah, T. (2007). Applicability of theory of planned behavior in predicting intention to trade online: Some evidence from a developing country. International Journal of Emerging Markets, 2(4), 348-360.
Hair Jr, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). Sage publications.
Harris, I., Rini, E. S., & Sembiring, B. K. F. (2022). The Influence of financial technology and quality of service on satis-faction and loyalty on employees of bank CIMB Niaga Bukit Barisan Branch on Grab App Users. International Journal of Research & Review, 6(2), 65-77.
Khuong, N. V., Phuong, N. T. T., Liem, N. T., Thuy, C. T. M., & Son, T. H. (2022). Factors Affecting the Intention to Use Financial Technology among Vietnamese Youth: Research in the Time of COVID-19 and Beyond. Economies, 10(3), 57.
Lee, H. Y., Qu, H., & Kim, Y. S. (2007). A study of the impact of personal innovativeness on online travel shopping be-havior—A case study of Korean travelers. Tourism Management, 28(3), 886-897.
Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic commerce research and applications, 8(3), 130-141.
Lontchi, C. B., Yang, B., & Shuaib, K. M. (2023). Effect of Financial Technology on SMEs Performance in Cameroon amid COVID-19 Recovery: The Mediating Effect of Financial Literacy. Sustainability, 15(3), 2171.
Maignan, I., & Lukas, B. A. (1997). The nature and social uses of the Internet: A qualitative investigation. Journal of Con-sumer Affairs, 31(2), 346-371.
Milian, E. Z., Spinola, M. D. M., & de Carvalho, M. M. (2019). Fintechs: A literature review and research agenda. Elec-tronic Commerce Research and Applications, 34, 100833.
Miskam, S., Yaacob, A. M., & Rosman, R. (2019). Fintech and its impact on Islamic fund management in Malaysia: a le-gal viewpoint. In Emerging Issues in Islamic Finance Law and Practice in Malaysia (pp. 223-246). Emerald Publishing Limited.
Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of applied psychology, 88(5), 879.
Rogers, E. M. (1995). Diffusion of innovations, 4th ed., The Free Press. New York.
Ryu, H. S. (2018). Understanding benefit and risk framework of fintech adoption: Comparison of early adopters and late adopters.
Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic commerce research and applications, 9(3), 209-216.
Shaikh, I. M., Noordin, K., & Alsharief, A. (2018). Factors influencing customers’ acceptance towards diminishing part-nership home financing: a study of Pakistan. Islamic Economic Studies, 26(1), 63-86.
Singh, V. P., Bansal, R., & Singh, R. (2023). Big‐Data Analytics: A New Paradigm Shift in Micro Finance Industry. Ad-vances in Data Science and Analytics: Concepts and Paradigms, 275-291.
Tang, K. L., Ooi, C. K., & Chong, J. B. (2020). Perceived risk factors affect intention to use FinTech. Journal of Account-ing and Finance in Emerging Economies, 6(2), 453-463.
Van Tuin, L., Schaufeli, W. B., & Van Rhenen, W. (2020). The satisfaction and frustration of basic psychological needs in engaging leadership. Journal of Leadership Studies, 14(2), 6-23.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 27(3), 425-478.
Zhang, T., & Qi, Y. (2021). The Mediating Role of Financial Satisfaction in the Relationship between Financial Technolo-gy and Financial Performance: Evidence from Chinese SMEs. Sustainability, 13(19), 10701.
Zhao, J., Li, X., Yu, C. H., Chen, S., & Lee, C. C. (2022). Riding the FinTech innovation wave: FinTech, patents and bank performance. Journal of International Money and Finance, 122, 102552.