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The Determinants of Intention to Adopt Islamic Financial Technology in Indonesia

Elif Pardiansyah, Nurdin Sobari, Hardius Usman

Abstract

This study analyses the factors determining the intention to adopt Islamic financial technology for Muslim users in Indonesia. This study uses a quantitative approach to analyze the determinant of intention to adopt Islamic fintech. The analysis was carried out using Structural Equation Modeling (SEM) with the SmartPLS application tool to examine the relationship between variables in the model. 205 respondents were selected through a purposive sampling technique to get Muslim respondents in Jabodetabek and Bandung who had used fintech applications but had not used sharia fintech. The results showed that the determinant of intention to use Islamic fintech is positively and significantly influenced by Perceived Usefulness (PU) and attitude (A). Meanwhile, perceived ease of use (PEOU), trust (T), and religiosity (R) have a positive but not significant effect on the intention to use (ITU) Islamic fintech. Indirectly, perceived ease of use and trust has a positive and significant effect on the intention to use Islamic fintech through perceived usefulness (PU) and attitude variables; perceived usefulness (PU) and religiosity (R) have a positive and significant effect on the intention to use Islamic fintech through attitude.

Keywords


Islamic Fintech; Religiosity; Technology Acceptance Model (TAM); Trust

References


Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication. Management Information System Research, University of Minnesota, 16(2), 227–247. https://doi.org/10.2307/249577

Agag, G., & El-Masry, A. A. (2016). Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust. Computers in Human Behavior, 60, 97–111.

Ajzen, I. (1985). From Intentions to Actions: A Theory of Planned Behavior. In Action Control. https://doi.org/10.1007/978-3-642-69746-3_2

Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, New Jersey: Prentice-Hall.

Alami Institute. (2022). Revolution of Islamic Finance Technology. Perbanas Institute Webinar, May.

Alvara Research Center. (2017). The Urban Middle-Class Millenials Indonesia: Financial and Online Behaviour. Jakarta.

Arjunwadkar, P. Y. (2018). FinTech: The Technology Driving Disruption in the Financial Services Industry. CRC Press-Taylor & Francis Group.

Arjuwadkar, P. Y. (2018). FinTech: The Technology Driving Disruption in the Financial Services Industry. CRC Press-Taylor & Francis Group.

Asosiasi Penyedia Jasa Internet Indonesia. (2022). Profil Internet Indonesia 2022 (Issue June). apji.or.id

Augusty, Ferdinand. (2014). Metode Penelitian Manajemen: Pedoman Penelitian Untuk Penulisan Skripsi, Tesis dan Disertasi Ilmu Manajemen. Edisi 5. Semarang: Undip Press.

Chishti, S., & Barberis, J. (2016). The Fintech Book: The Financial Technology Handbook for Investors, Entrepreneurs, and Visionaries. Chichester: Jhon Wiley & Sons.

Chuang, L.-M., Liu, C.-C., & Kao, H.-K. (2016). The Adoption of Fintech Service: TAM perspective. International Journal of Management and Administrative Sciences (IJMAS) (IJMAS), 3(07), 1–15. Retrieved from www.ijmas.org

Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results. Management. Massachusetts Institute of Technology. https://doi.org/oclc/56932490

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. Management Information System Research Center, 13(3), 319–340. Retrieved from https://www.jstor.org/stable/249008

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. Retrieved from https://www.jstor.org/stable/2632151 Accessed:

Dinar Standard & Salam Gateway (2022) Global Islamic Fintech Report.

Djawahir, A. U. (2018). Teknologi Layanan Keuangan, Literasi-Inklusi, dan Value pada Islamic fintech di Indonesia: Perspektif S-O-R (Stimulus Organism-Response) Model. In 2nd Proceedings Annual Conference for Muslim Scholars (pp. 439–448).

EY. (2017). FinTech Adoption Index. http://www.ey.com/GL/en/Industries/Financial-Services/ey-fintech-adoption-index.

Fintech Singapore. (2020). Indonesia Fintech Report.

Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.

Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: an integrated. Management Information Systems Research Center, 27(4), 51–90. Retrieved

Gozali, Imam. (2014). Structural Equation Modeling Metode Alternatif dengan Partial Least Square (PLS). Edisi 4. Semarang: Undip Press.

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). London: SAGE Publications.

Hakim. A. (2018). Analisis Intensi Menggunakan Financial Technology (Fintech) Untuk Filantropi Islam. Tesis-Universitas Indonesia.

Heryadi, L. A. S. (2018). Analisis Kepatuhan Syariah Terhadap Customer Intimacy Pada Teknologi Finansial Perbankan Syariah di Indonesia. Tesis-Universitas Indonesia.

Huei, C. T., Cheng, L. S., Seong, L. C., Khin, A. A., & Leh Bin, R. L. (2018). Preliminary study on consumer attitude towards fintech products and services in Malaysia. International Journal of Engineering and Technology (UAE), 7(2.29), 166–169.

Innovate Finance & Redmoney. (2017). The Islamic fintech Landscape 2017.

IOSCO. (2017). Research Report on Financial Technologies (Fintech). International Organization of Securities Commissions.

Islamic Financial Services Board. (2017). Islamic Financial Services Industry Stability Report 2017.

Jarvenpaa, S. L., Tractinsky, N., & Vitale, M. (2000). Consumer Trust in an Internet Store. Information Technology and Management, 1(1), 45–71.

Lai, P. (2017). the Literature Review of Technology Adoption Models and Theories for the Novelty Technology. Journal of Information Systems and Technology Management, 14(1), 21–38.

Nicoletti, B. (2017). The Future of Fintech: Integrating Finance and Technology in Financial Services. (B. Nicoletti, Ed.). Rome: Springer. https://doi.org/10.1007/978-3-319-51415-4

Nicoletti, B. (2017). The Future of Fintech: Integrating Finance and Technology in Financial Services. Rome: Springer.

Nizar, M. A. (2017). Teknologi Keuangan (Fintech): Konsep dan Implementasinya di Indonesia. Warta Fiskal, pp. 5–14.

Nizar, M. A. (2017). Teknologi Keuangan (Fintech): Konsep dan Implementasinya di Indonesia. Warta Fiskal, pp. 5–14.

Otoritas Jasa Keuangan. (2018). Perkembangan Fintech Lending (Pendanaan Gotong Royong on-Line). Departemen Pengawasan IKNB 2A.

Otoritas Jasa Keuangan. (2018). Satgas Kembali Temukan 182 Fintech Peer-to-Peer Lending Tanpa Izin. Satgas Waspada Investasi.

Pavlou, P. A. (2003). Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model. International Journal of Electronic Commerce, 7(3), 101–134.

Pavlou, P. A., Liang, H., & Xue, Y. (2007). Understanding and Mitigating Uncertainty in Online Exchange Relationships: A Principal-Agent Perspective. Management Information Systems Research Center, 31(1), 105–136.

Pollari, I. (2016). The rise of finTech: Opportunities and challenges. JASSA The Finsia Journal of Applied Finance, (3), 15–21. https://doi.org/10.1016/j.jnca.2017.10.011

Priyono, A. (2017). Analisis Pengaruh Trust dan Risk Dalam Penerimaan Teknologi Dompet Elektronik Go-Pay. Jurnal Siasat Bisnis, 21(1), 88–106.

Rehman, A. ur, & Shabbir, M. S. (2010). The relationship between religiosity and new product adoption. Journal of Islamic Marketing, (1), 63–69. https://doi.org/10.1108/17590831011026231

Rizvi, H. (2005). Investigating Factors Related to Individuals’ Intention to Use New Information Technology: An Extension of TAM. Concordia University.

Romanova, I., & Kudinska, M. (2016). Contemporary Issues in Finance : Current Challenges from Across Europe Article information : Contemporary Issues in Finance : Current Challenges from Across Europe.

Saifudin, S. and Puspita, R. E. (2020) ‘Predicting the Intention of Millennial Moslems to Visit Halal Tourism’, Equilibrium: Jurnal Ekonomi Syariah, 8(1), p. 129. doi: 10.21043/equilibrium.v8i1.7322.

Sari, P. B., & Dwilita, H. (2016). Prospek Financial Teknology (Fintech) di Sumatera Utara dilihat dari sisi Literasi Keuangan, Inklusi Keuangan dan Kemiskinan. Kajian Akuntansi, 9–17.

Schueffel, P. (2016). Taming the Beast: A Scientific Definition of Fintech. Institute of Finance School of Management Fribourg-Switzerland, 1–24.

Shumaila, Y., Foxall, G. R., & Pallister, J. G. (2010). Explaining internet banking behavior: Theory of reasoned action, theory of planned behavior, or technology acceptance model? Journal of Applied Social Psychology, (5), 1172–1202.

Souiden, N., & Rani, M. (2015). Consumer attitudes and purchase intentions toward Islamic banks: The influence of religiosity. International Journal of Bank Marketing, 33(2), 143–161. https://doi.org/10.1108/IJBM-10-2013-0115

Usman, H. (2015). The Role of Religious Norms on Selecting The Islamic Bank. Al-Ittihad, (1), 31–44.

Usman, H., & Sobari, N. (2013). Aplikasi Teknik Multivariate Untuk Riset Pemasaran. Jakarta: Rajagrafindo Perkasa.

Usman, H., Tjiptoherijanto, P., Balqiah, T. E., & Agung, I. G. N. (2017). The role of religious norms, trust, the importance of attributes, and information sources in the relationship between religiosity and selection of the Islamic bank. Journal of Islamic Marketing, 8(2).

Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision Sciences, 39(2), 273–315.

Venkatesh, V., & Davis, F. D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, (2), 186–204.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. Management Information Systems Research Center, (3), 425–478. Retrieved from https://www.jstor.org/stable/30036540

We Are Social & Hootsuite. (2020). Digital in 2020: Southeast Asia.

World Bank Group. (2015). The Little Data Book on Financial Inclusion 2015.

World Economic Forum. (2015). The Future of Fintech: A Paradigm Shift in Small Business Finance.


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DOI: 10.21043/equilibrium.v10i2.16539

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