Fintech and Islamic Banks - an integrative model approach to predict the intentions
Keywords:
FinTech, Intention, Shariah, Banks, Bangladesh
Abstract
The study is aimed to examine the intentions of people in Bangladesh to use and adopt FinTech services offered by Islamic Banks. The study has integrated two widely used intentional models- the technology acceptance model and the theory of Planned Behavior along with the Shariah compliance factor for Islamic banks. The data was collected from 342 respondents from various parts of Bangladesh like Dhaka, Khulna, Chittagong, Mymensingh, Rangpur, and Rajshahi divisions. The data was analyzed using the partial least square structural equation modelling (PLS-SEM) using the SmartPLS software. The study confirms the positive influence of perceived usefulness and perceived ease of use along with Shariah compliance on attitude towards FinTech services. Further attitude towards FinTech services and other factors of Theory of Planned Behavior has a positive relationship with intention to adopt FinTech services. The study will be important for researchers to integrate the behavioural and cognitive intentional models for examining the intentions to adopt FinTech services. The study also confirms the role of Shariah compliance factors when studying the customer behaviour of Islamic banks and institutions. The study is the first to integrate the two models along with the Shariah compliance construct to investigate the intention to adopt FinTech services in Bangladesh.
References
Aboelmaged, M., & Gebba, T. R. (2013). Mobile banking adoption: an examination of technology acceptance model and theory of planned behavior. International Journal of Business Research and Development, 2(1).
Adam, F. (2021). Fintech Versus I-Fintech: A Dichotomy. In Islamic FinTech (pp. 19-35). Palgrave Macmillan, Cham.
Ajzen, I. (1991)." The Theory of Planned Behavior,". Organizational behavior and human decision processes, 50(2), 179-21.
Akturan, U., & Tezcan, N. (2012). Mobile banking adoption of the youth market. Marketing Intelligence & Planning, 30(4), 444-459.
Alaa Alaabed, F., & Mirakhor, A. (2017). Accelerating Risk Sharing Finance via FinTech: NextGen Islamic Finance. In The 1st International Colloquium on Islamic banking and Finance (pp. 1-10).
Arner, D. W., Barberis, J., & Buckley, R. P. (2015). The Evolution of FinTech: A New Post-Crisis Paradigm? 2015. Georgetown Journal of International Law, 47, 1271.
Ashraf, A. R., Thongpapanl, N., & Auh, S. (2014). The Application of the Technology Acceptance Model Under Different Cultural Contexts: The Case of Online Shopping Adoption. Journal of International Marketing, 22(3), 68–93.
Baber, H. (2021). Examining the Intentions to Use Crowdfunding Platform-An Extended Technology Acceptance Model. International Journal of Services, Economics and Management.
Baber, H. (2020a). FinTech, Crowdfunding and Customer Retention in Islamic Banks. Vision, 24(3), 260-268.
Baber, H. (2020b). Impact of FinTech on customer retention in Islamic banks of Malaysia. International Journal of Business and Systems Research, 14(2), 217-227.
Baber, H. (2020c). Intentions to participate in political crowdfunding-from the perspective of civic voluntarism model and theory of planned behavior. Technology in Society, 63, 101435.
Baber, H. (2019). Financial inclusion and FinTech: A comparative study of countries following Islamic finance and conventional finance. Qualitative Research in Financial Markets, 12(1), 24-42.
Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers. Industrial Management & Data Systems, 119(7), 1411-1430.
Bureshaid, N., Lu, K. J., & Sarea, A. (2020, February). Investigation of Fintech Services Adoption in the Banking Industry. In Proceedings of the Industrial Revolution & Business Management: 11th Annual PwR Doctoral Symposium (PWRDS).
Chong, F. H. L. (2021). Enhancing trust through digital Islamic finance and blockchain technology. Qualitative Research in Financial Markets (in-press).
Chuang, L. M., Liu, C. C., & Kao, H. K. (2016). The adoption of fintech service: TAM perspective. International Journal of Management and Administrative Sciences, 3(7), 1-15.
Cortina Lorente, J. J., & Schmukler, S. L. (2018). The Fintech Revolution: A Threat to Global Banking?. World Bank Research and Policy Briefs, (125038).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems. Cambridge, MA.
Dusuki, A. W., & Abdullah, N. I. (2007). Why do Malaysian customers patronise Islamic banks?. Marketing, 25(3), 142-160.
Fianto, B. A., Hendratmi, A., & Aziz, P. F. (2020). Factors determining behavioral intentions to use Islamic financial technology. Journal of Islamic Marketing.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Folkinshteyn, D., & Lennon, M. (2016). Braving Bitcoin: A technology acceptance model (TAM) analysis. Journal of Information Technology Case and Application Research, 18(4), 220-249.
Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the fintech revolution: Interpreting the forces of innovation, disruption, and transformation in financial services. Journal of Management Information Systems, 35(1), 220-265.
Grim, B. J., & Karim, M. S. (2011). The future of the global Muslim population: projections for 2010-2030. Washington DC: Pew Research Center.
Hair, J.F., Risher, J.J., Sarstedt, M. and Ringle, C.M. (2019), “When to use and how to report the results of PLS-SEM”, European Business Review, Emerald, Vol. 31 No. 1, pp. 2–24.
Hair Jr, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110.
Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption intention of fintech services for bank users: An empirical examination with an extended technology acceptance model. Symmetry, 11(3), 340.
Hudaefi, F. A. (2020). How does Islamic fintech promote the SDGs? Qualitative evidence from Indonesia. Qualitative Research in Financial Markets, 12(4), 353-366.
Irum, S., Qureshi, M. I., Ashfaq, M., Sami, A., Bhatti, M. N., & Umar, A. (2018). A review of green supply chain management practices in Asian countries. International Journal of Engineering & Technology, 7(2.29), 1094-1096.
Jiwasiddi, A., Adhikara, C., Adam, M., & Triana, I. (2019). Attitude toward using Fintech among Millennials. In The 1st Workshop on Multimedia Education, Learning, Assessment and its Implementation in Game and Gamification in conjunction with COMDEV 2018. European Alliance for Innovation (EAI).
Joo, J. (2017). Understanding Acceptance of Fintech Service in Korea: Focused on Decomposed TPB into TAM. Journal of Digital Convergence, 15(4), 171-179.
Kaakeh, A., Hassan, M. K., & Van Hemmen Almazor, S. F. (2019). Factors affecting customers’ attitude towards Islamic banking in UAE. International Journal of Emerging Markets, 14(4), 668–688. https://doi.org/10.1108/IJOEM-11-2017-0502
Khan, M. S. N., Hassan, M. K., & Shahid, A. I. (2007). Banking behavior of Islamic bank customers in Bangladesh. Journal of Islamic Economics, Banking and Finance, 3(2), 159-194.
Kim, Y., Park, Y. J., Choi, J., & Yeon, J. (2015). An empirical study on the adoption of “Fintech” service: Focused on mobile payment services. Advanced Science and Technology Letters, 114(26), 136-140.
Kim, Y., Choi, J., Park, Y. J., & Yeon, J. (2016). The adoption of mobile payment services for “Fintech”. International Journal of Applied Engineering Research, 11(2), 1058-1061.
Kotarba, M. (2016). New factors inducing changes in the retail banking customer relationship management (CRM) and their exploration by the FinTech industry. Foundations of management, 8(1), 69-78.
Lee, K. H., & Ullah, S. (2011). Customers' attitude toward Islamic banking in Pakistan. International Journal of Islamic and Middle Eastern Finance and Management.
Lu, H., Hsu, C., & Hsu, H. (2005). An empirical study of the effect of perceived risk upon intention to use online applications. Information Management & Computer Security, 13(2), 106–120. https://doi.org/10.1108/09685220510589299
Manzoor, M. M., Aqeel, M., & Sattar, A. (2010). Factors paving the way towards Islamic banking in Pakistan. World Academy of Science, Engineering and Technology, 66, 1677-1683.
Ma, Q., & Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical findings. Journal of Organizational and End User Computing (JOEUC), 16(1), 59-72.
Maitland, A., Lin, A., Cantor, D., Jones, M., Moser, R.P., Hesse, B.W., Davis, T., et al. (2017), “A Nonresponse Bias Analysis of the Health Information National Trends Survey (HINTS)”, Journal of Health Communication, Informa UK Limited, Vol. 22 No. 7, pp. 545–553.
Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information systems research, 2(3), 173-191.
Mazambani, L., & Mutambara, E. (2019). Predicting FinTech innovation adoption in South Africa: The case of cryptocurrency. African Journal of Economic and Management Studies, 11(1), 30–50. https://doi.org/10.1108/AJEMS-04-2019-0152
Milian, E. Z., Spinola, M. D. M., & de Carvalho, M. M. (2019). Fintechs: A literature review and research agenda. Electronic Commerce Research and Applications, 34, 100833.
Mulia, D., Usman, H., & Parwanto, N. B. (2020). The role of customer intimacy in increasing Islamic bank customer loyalty in using e-banking and m-banking. Journal of Islamic Marketing.
Mutambara, E. (2019). Predicting FinTech innovation adoption in South Africa: the case of cryptocurrency. African Journal of Economic and Management Studies, 11(1), 30-50.
Nakashima, T. (2018). Creating credit by making use of mobility with FinTech and IoT. IATSS Research, 42(2), 61-66.
Niswah, F. M., & Legowati, D. A. (2019). Muslim millennial’s intention of donating for charity using fintech platform. Journal of Islamic Monetary Economics and Finance, 5(3), 623-644.
Prime Minister inaugurates cash aid for 3.6 million Covid-affected families. (2021, May 2). The Daily Star. https://www.thedailystar.net/pr/news/prime-minister-inaugurates-cash-aid-36-million-covid-affected-families-2087109
Püschel, J., Mazzon, J. A., & Hernandez, J. M. C. (2010).Mobile banking: proposition of an integrated adoption intention framework. International Journal of Bank Marketing, 28(5), 410-432.
Rabbani, M. R., Khan, S., & Thalassinos, E. I. (2020). FinTech, blockchain and Islamic finance: An extensive literature review.
Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44-65.
Riquelme, H. E., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. The International Journal of Bank Marketing, 28(5), 328-341.
Ryu, H. S. (2018). What makes users willing or hesitant to use Fintech?: the moderating effect of user type. Industrial Management & Data Systems.
Safeena, R., Date, H., Hundewale, N., & Kammani, A. (2013). Combination of TAM and TPB in internet banking adoption. International Journal of Computer Theory and Engineering, 5(1), 146.
Sanayei, A., & Bahmani, E. (2012). Integrating TAM and TPB with perceived risk to measure customers’ acceptance of internet banking. International Journal of Information science and management (IJISM), 25-37.
Schueffel, P. (2016). Taming the Beast: A Scientific Definition of Fintech, J. Innov. Manag., 4(4), doi: 10.24840/2183-0606_004.004_0004.
Schena, C., Tanda, A., Arlotta, C., Potenza, G., Giuseppe, D. A., & Munafò, P. (2018). The Development of FinTech. Opportunities and Risks for the Financial Industry in the Digital Age-With Preface to the FinTech Series. Opportunities and Risks for the Financial Industry in the Digital Age-With Preface to the FinTech Series (March 1, 2018). CONSOB Fintech Series, (1).
Sek, Y. W., Lau, S. H., Teoh, K. K., Law, C. Y., & Parumo, S. B. (2010). Prediction of user acceptance and adoption of smart phone for learning with technology acceptance model. Journal of Applied Sciences(Faisalabad), 10(20), 2395-2402.
Shaikh, I. M., Qureshi, M. A., Noordin, K., Shaikh, J. M., Khan, A., & Shahbaz, M. S. (2020). Acceptance of Islamic financial technology (FinTech) banking services by Malaysian users: an extension of technology acceptance model. foresight.
Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and informatics, 32(1), 129-142.
Siddik, M. N. A., Sun, G., Yanjuan, C. U. I., & Kabiraj, S. (2014). Financial inclusion through mobile banking: a case of Bangladesh. Journal of Applied finance and Banking, 4(6), 109.
Susilo, A. Z., Prabowo, M. I., Taman, A., Pustikaningsih, A., & Samlawi, A. (2019). A comparative study of factors affecting user acceptance of go-pay and OVo as a feature of Fintech application. Procedia Computer Science, 161, 876-884.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management science, 42(1), 85-92.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.
Todorof, M. (2018, August). Shariah-compliant fintech in the banking industry. In ERA Forum (Vol. 19, No. 1, pp. 1-17). Springer Berlin Heidelberg.
Uddin. (2021, April 25). Branchless banking gaining ground. The Daily Star. https://www.thedailystar.net/business/news/branchless-banking-gaining-ground-2083361
Usman, H., Tjiptoherijanto, P., Balqiah, T. E., & Agung, I. G. N. (2017). The role of religious norms, trust, importance of attributes and information sources in the relationship between religiosity and selection of the Islamic bank. Journal of Islamic Marketing, 8(2), 158-186.
Usman, H., Projo, N. W. K., Chairy, C., & Haque, M. G. (2021). The exploration role of Sharia compliance in technology acceptance model for e-banking (case: Islamic bank in Indonesia). Journal of Islamic Marketing.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342-365.
Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information & Management, 41(6), 747–762. https://doi.org/10.1016/j.im.2003.08.011
World Bank. (2020). Leveraging Islamic Fintech to Improve Financial Inclusion. Accessed: May 02, 2021. [Online]. Available: https://blog.sodipress.com/wp-content/uploads/2020/11/World-Bank-leveraging-islamic-fintech-to-improve-financial-inclusion.pdf.
Yoon, B., Kim, J., You, Y., & Kim, S. (2016). A study on user behaviors for consulting of fintech companies. Indian Journal of Science and Technology, 9(26), 1-6.
Zhang, T., Lu, C., & Kizildag, M. (2018). Banking “on-the-go”: examining consumers’ adoption of mobile banking services. International Journal of Quality and Service Sciences.
End notes
1 H. FHM. Kabir, “Covid triggers rise in mobile financial services,” The Financial Express, Nov. 14, 2020.
2 M. Miller, L. Klapper, G. Teima, and M. Gamser, “How can digital financial services help a world coping with COVID-19?,” World Bank Blogs, Aug. 03, 2020. https://blogs.worldbank.org/psd/how-can-digital-financial-services-help-world-coping-covid-19 (accessed May 02, 2021).
Adam, F. (2021). Fintech Versus I-Fintech: A Dichotomy. In Islamic FinTech (pp. 19-35). Palgrave Macmillan, Cham.
Ajzen, I. (1991)." The Theory of Planned Behavior,". Organizational behavior and human decision processes, 50(2), 179-21.
Akturan, U., & Tezcan, N. (2012). Mobile banking adoption of the youth market. Marketing Intelligence & Planning, 30(4), 444-459.
Alaa Alaabed, F., & Mirakhor, A. (2017). Accelerating Risk Sharing Finance via FinTech: NextGen Islamic Finance. In The 1st International Colloquium on Islamic banking and Finance (pp. 1-10).
Arner, D. W., Barberis, J., & Buckley, R. P. (2015). The Evolution of FinTech: A New Post-Crisis Paradigm? 2015. Georgetown Journal of International Law, 47, 1271.
Ashraf, A. R., Thongpapanl, N., & Auh, S. (2014). The Application of the Technology Acceptance Model Under Different Cultural Contexts: The Case of Online Shopping Adoption. Journal of International Marketing, 22(3), 68–93.
Baber, H. (2021). Examining the Intentions to Use Crowdfunding Platform-An Extended Technology Acceptance Model. International Journal of Services, Economics and Management.
Baber, H. (2020a). FinTech, Crowdfunding and Customer Retention in Islamic Banks. Vision, 24(3), 260-268.
Baber, H. (2020b). Impact of FinTech on customer retention in Islamic banks of Malaysia. International Journal of Business and Systems Research, 14(2), 217-227.
Baber, H. (2020c). Intentions to participate in political crowdfunding-from the perspective of civic voluntarism model and theory of planned behavior. Technology in Society, 63, 101435.
Baber, H. (2019). Financial inclusion and FinTech: A comparative study of countries following Islamic finance and conventional finance. Qualitative Research in Financial Markets, 12(1), 24-42.
Belanche, D., Casaló, L. V., & Flavián, C. (2019). Artificial Intelligence in FinTech: understanding robo-advisors adoption among customers. Industrial Management & Data Systems, 119(7), 1411-1430.
Bureshaid, N., Lu, K. J., & Sarea, A. (2020, February). Investigation of Fintech Services Adoption in the Banking Industry. In Proceedings of the Industrial Revolution & Business Management: 11th Annual PwR Doctoral Symposium (PWRDS).
Chong, F. H. L. (2021). Enhancing trust through digital Islamic finance and blockchain technology. Qualitative Research in Financial Markets (in-press).
Chuang, L. M., Liu, C. C., & Kao, H. K. (2016). The adoption of fintech service: TAM perspective. International Journal of Management and Administrative Sciences, 3(7), 1-15.
Cortina Lorente, J. J., & Schmukler, S. L. (2018). The Fintech Revolution: A Threat to Global Banking?. World Bank Research and Policy Briefs, (125038).
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
Davis, F. D. (1986). A technology acceptance model for empirically testing new end-user information systems. Cambridge, MA.
Dusuki, A. W., & Abdullah, N. I. (2007). Why do Malaysian customers patronise Islamic banks?. Marketing, 25(3), 142-160.
Fianto, B. A., Hendratmi, A., & Aziz, P. F. (2020). Factors determining behavioral intentions to use Islamic financial technology. Journal of Islamic Marketing.
Fishbein, M., & Ajzen, I. (1977). Belief, attitude, intention, and behavior: An introduction to theory and research.
Folkinshteyn, D., & Lennon, M. (2016). Braving Bitcoin: A technology acceptance model (TAM) analysis. Journal of Information Technology Case and Application Research, 18(4), 220-249.
Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the fintech revolution: Interpreting the forces of innovation, disruption, and transformation in financial services. Journal of Management Information Systems, 35(1), 220-265.
Grim, B. J., & Karim, M. S. (2011). The future of the global Muslim population: projections for 2010-2030. Washington DC: Pew Research Center.
Hair, J.F., Risher, J.J., Sarstedt, M. and Ringle, C.M. (2019), “When to use and how to report the results of PLS-SEM”, European Business Review, Emerald, Vol. 31 No. 1, pp. 2–24.
Hair Jr, J. F., Howard, M. C., & Nitzl, C. (2020). Assessing measurement model quality in PLS-SEM using confirmatory composite analysis. Journal of Business Research, 109, 101-110.
Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption intention of fintech services for bank users: An empirical examination with an extended technology acceptance model. Symmetry, 11(3), 340.
Hudaefi, F. A. (2020). How does Islamic fintech promote the SDGs? Qualitative evidence from Indonesia. Qualitative Research in Financial Markets, 12(4), 353-366.
Irum, S., Qureshi, M. I., Ashfaq, M., Sami, A., Bhatti, M. N., & Umar, A. (2018). A review of green supply chain management practices in Asian countries. International Journal of Engineering & Technology, 7(2.29), 1094-1096.
Jiwasiddi, A., Adhikara, C., Adam, M., & Triana, I. (2019). Attitude toward using Fintech among Millennials. In The 1st Workshop on Multimedia Education, Learning, Assessment and its Implementation in Game and Gamification in conjunction with COMDEV 2018. European Alliance for Innovation (EAI).
Joo, J. (2017). Understanding Acceptance of Fintech Service in Korea: Focused on Decomposed TPB into TAM. Journal of Digital Convergence, 15(4), 171-179.
Kaakeh, A., Hassan, M. K., & Van Hemmen Almazor, S. F. (2019). Factors affecting customers’ attitude towards Islamic banking in UAE. International Journal of Emerging Markets, 14(4), 668–688. https://doi.org/10.1108/IJOEM-11-2017-0502
Khan, M. S. N., Hassan, M. K., & Shahid, A. I. (2007). Banking behavior of Islamic bank customers in Bangladesh. Journal of Islamic Economics, Banking and Finance, 3(2), 159-194.
Kim, Y., Park, Y. J., Choi, J., & Yeon, J. (2015). An empirical study on the adoption of “Fintech” service: Focused on mobile payment services. Advanced Science and Technology Letters, 114(26), 136-140.
Kim, Y., Choi, J., Park, Y. J., & Yeon, J. (2016). The adoption of mobile payment services for “Fintech”. International Journal of Applied Engineering Research, 11(2), 1058-1061.
Kotarba, M. (2016). New factors inducing changes in the retail banking customer relationship management (CRM) and their exploration by the FinTech industry. Foundations of management, 8(1), 69-78.
Lee, K. H., & Ullah, S. (2011). Customers' attitude toward Islamic banking in Pakistan. International Journal of Islamic and Middle Eastern Finance and Management.
Lu, H., Hsu, C., & Hsu, H. (2005). An empirical study of the effect of perceived risk upon intention to use online applications. Information Management & Computer Security, 13(2), 106–120. https://doi.org/10.1108/09685220510589299
Manzoor, M. M., Aqeel, M., & Sattar, A. (2010). Factors paving the way towards Islamic banking in Pakistan. World Academy of Science, Engineering and Technology, 66, 1677-1683.
Ma, Q., & Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical findings. Journal of Organizational and End User Computing (JOEUC), 16(1), 59-72.
Maitland, A., Lin, A., Cantor, D., Jones, M., Moser, R.P., Hesse, B.W., Davis, T., et al. (2017), “A Nonresponse Bias Analysis of the Health Information National Trends Survey (HINTS)”, Journal of Health Communication, Informa UK Limited, Vol. 22 No. 7, pp. 545–553.
Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior. Information systems research, 2(3), 173-191.
Mazambani, L., & Mutambara, E. (2019). Predicting FinTech innovation adoption in South Africa: The case of cryptocurrency. African Journal of Economic and Management Studies, 11(1), 30–50. https://doi.org/10.1108/AJEMS-04-2019-0152
Milian, E. Z., Spinola, M. D. M., & de Carvalho, M. M. (2019). Fintechs: A literature review and research agenda. Electronic Commerce Research and Applications, 34, 100833.
Mulia, D., Usman, H., & Parwanto, N. B. (2020). The role of customer intimacy in increasing Islamic bank customer loyalty in using e-banking and m-banking. Journal of Islamic Marketing.
Mutambara, E. (2019). Predicting FinTech innovation adoption in South Africa: the case of cryptocurrency. African Journal of Economic and Management Studies, 11(1), 30-50.
Nakashima, T. (2018). Creating credit by making use of mobility with FinTech and IoT. IATSS Research, 42(2), 61-66.
Niswah, F. M., & Legowati, D. A. (2019). Muslim millennial’s intention of donating for charity using fintech platform. Journal of Islamic Monetary Economics and Finance, 5(3), 623-644.
Prime Minister inaugurates cash aid for 3.6 million Covid-affected families. (2021, May 2). The Daily Star. https://www.thedailystar.net/pr/news/prime-minister-inaugurates-cash-aid-36-million-covid-affected-families-2087109
Püschel, J., Mazzon, J. A., & Hernandez, J. M. C. (2010).Mobile banking: proposition of an integrated adoption intention framework. International Journal of Bank Marketing, 28(5), 410-432.
Rabbani, M. R., Khan, S., & Thalassinos, E. I. (2020). FinTech, blockchain and Islamic finance: An extensive literature review.
Raza, S. A., Umer, A., & Shah, N. (2017). New determinants of ease of use and perceived usefulness for mobile banking adoption. International Journal of Electronic Customer Relationship Management, 11(1), 44-65.
Riquelme, H. E., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. The International Journal of Bank Marketing, 28(5), 328-341.
Ryu, H. S. (2018). What makes users willing or hesitant to use Fintech?: the moderating effect of user type. Industrial Management & Data Systems.
Safeena, R., Date, H., Hundewale, N., & Kammani, A. (2013). Combination of TAM and TPB in internet banking adoption. International Journal of Computer Theory and Engineering, 5(1), 146.
Sanayei, A., & Bahmani, E. (2012). Integrating TAM and TPB with perceived risk to measure customers’ acceptance of internet banking. International Journal of Information science and management (IJISM), 25-37.
Schueffel, P. (2016). Taming the Beast: A Scientific Definition of Fintech, J. Innov. Manag., 4(4), doi: 10.24840/2183-0606_004.004_0004.
Schena, C., Tanda, A., Arlotta, C., Potenza, G., Giuseppe, D. A., & Munafò, P. (2018). The Development of FinTech. Opportunities and Risks for the Financial Industry in the Digital Age-With Preface to the FinTech Series. Opportunities and Risks for the Financial Industry in the Digital Age-With Preface to the FinTech Series (March 1, 2018). CONSOB Fintech Series, (1).
Sek, Y. W., Lau, S. H., Teoh, K. K., Law, C. Y., & Parumo, S. B. (2010). Prediction of user acceptance and adoption of smart phone for learning with technology acceptance model. Journal of Applied Sciences(Faisalabad), 10(20), 2395-2402.
Shaikh, I. M., Qureshi, M. A., Noordin, K., Shaikh, J. M., Khan, A., & Shahbaz, M. S. (2020). Acceptance of Islamic financial technology (FinTech) banking services by Malaysian users: an extension of technology acceptance model. foresight.
Shaikh, A. A., & Karjaluoto, H. (2015). Mobile banking adoption: A literature review. Telematics and informatics, 32(1), 129-142.
Siddik, M. N. A., Sun, G., Yanjuan, C. U. I., & Kabiraj, S. (2014). Financial inclusion through mobile banking: a case of Bangladesh. Journal of Applied finance and Banking, 4(6), 109.
Susilo, A. Z., Prabowo, M. I., Taman, A., Pustikaningsih, A., & Samlawi, A. (2019). A comparative study of factors affecting user acceptance of go-pay and OVo as a feature of Fintech application. Procedia Computer Science, 161, 876-884.
Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model. Management science, 42(1), 85-92.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.
Todorof, M. (2018, August). Shariah-compliant fintech in the banking industry. In ERA Forum (Vol. 19, No. 1, pp. 1-17). Springer Berlin Heidelberg.
Uddin. (2021, April 25). Branchless banking gaining ground. The Daily Star. https://www.thedailystar.net/business/news/branchless-banking-gaining-ground-2083361
Usman, H., Tjiptoherijanto, P., Balqiah, T. E., & Agung, I. G. N. (2017). The role of religious norms, trust, importance of attributes and information sources in the relationship between religiosity and selection of the Islamic bank. Journal of Islamic Marketing, 8(2), 158-186.
Usman, H., Projo, N. W. K., Chairy, C., & Haque, M. G. (2021). The exploration role of Sharia compliance in technology acceptance model for e-banking (case: Islamic bank in Indonesia). Journal of Islamic Marketing.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model. Information systems research, 11(4), 342-365.
Vijayasarathy, L. R. (2004). Predicting consumer intentions to use on-line shopping: The case for an augmented technology acceptance model. Information & Management, 41(6), 747–762. https://doi.org/10.1016/j.im.2003.08.011
World Bank. (2020). Leveraging Islamic Fintech to Improve Financial Inclusion. Accessed: May 02, 2021. [Online]. Available: https://blog.sodipress.com/wp-content/uploads/2020/11/World-Bank-leveraging-islamic-fintech-to-improve-financial-inclusion.pdf.
Yoon, B., Kim, J., You, Y., & Kim, S. (2016). A study on user behaviors for consulting of fintech companies. Indian Journal of Science and Technology, 9(26), 1-6.
Zhang, T., Lu, C., & Kizildag, M. (2018). Banking “on-the-go”: examining consumers’ adoption of mobile banking services. International Journal of Quality and Service Sciences.
End notes
1 H. FHM. Kabir, “Covid triggers rise in mobile financial services,” The Financial Express, Nov. 14, 2020.
2 M. Miller, L. Klapper, G. Teima, and M. Gamser, “How can digital financial services help a world coping with COVID-19?,” World Bank Blogs, Aug. 03, 2020. https://blogs.worldbank.org/psd/how-can-digital-financial-services-help-world-coping-covid-19 (accessed May 02, 2021).
Published
2022-11-24
How to Cite
Baber, H., & Billah, N. M. B. (2022). Fintech and Islamic Banks - an integrative model approach to predict the intentions. Review of Applied Socio-Economic Research, 24(2), 24 - 45. https://doi.org/10.54609/reaser.v24i2.215
Section
Articles
Copyright (c) 2022 Review of Applied Socio-Economic Research
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright ©2019 Pro Global Science Association
All rights reserved. No part of this publication may be reproduced, stored, transmitted or disseminated, in any form, or by any means, without prior written permission from Pro Global Science Association, to whom all requests to produce copyright material should be directed, in writing.
