Determinants of Behavioral Intentions to Use Sharia Financial Technology (Fintech)

Dani Setiawan, Darwanto Darwanto, Edy Yusuf Agung Gunanto

Abstract


The growth of sharia fintech is not proportional to the majority of the Muslim population. There are only a few studies that discuss the behavioral intentions of consumers who use sharia fintech. This study aims to identify the factors influencing Muslim's behavioral intentions in using sharia fintech. This study conducted 400 respondents in four types of sharia fintech (digital payment, lending, crowdfunding, and risk and management). This study uses a structural Equation Modeling - Partial Least Square (SEM-PLS) approach. Variable Planned behavior (PB), Acceptance Model (AM), Use of Technology (UT), Digital Literacy (DL), and Sharia Financial Literacy (SFL) have significant positive effects on Behavior Intention (BI). This study provides recommendations to improve the distribution of internet access infrastructure and the right curriculum in increasing digital literacy, Islamic finance literacy, and also more accessible fintech services.

JEL Classification: D83, D91, G2, Z1

How to Cite:

Setiawan, D., Darwanto., & Gunanto, E. Y. A. (2021). Determinants of Behavioral Intentions to Use Sharia Financial Technology. Signifikan: Jurnal Ilmu Ekonomi, 10(2), 325-342. https://doi.org/10.15408/sjie.v10i2.21451.


Keywords


acceptance model; behavior intention; digital literacy; sharia fintech; sharia financial literacy

References


Abhishek, & Hemchand, S. (2016). Adoption of Sensor-Based Communication for Mobile Marketing in India. Journal of Indian Business Research, 8(1), 65–76. https://doi.org/10.1108/JIBR-08-2015-0091.

Affan, I. (2019). Analisis Faktor-Faktor Preferensi yang Mempengaruhi Keputusan Metode Pembayaran Zakat Bagi Muzakki di Era Digital (Studi pada Dosen dan Tenaga Kependidikan Fakultas Ekonomi dan Bisnis Universitas Brawijaya. Jurnal Ilmiah Mahasiswa Fakultas Ekonomi dan Bisnis, 8(1), 1–16.

Ajzen, I. (1985). From Intentions to Action: a Theory of Planned Behavior. Action Control, 2, 11–39. https://doi.org/10.1007/978-3-642-69746-3_2.

Akhtar, S., Irfan, M., Sarwar, A., Asma, & Rashid, Q. U. A. (2019). Factors Influencing Individuals’ Intention to Adopt Mobile Banking in China and Pakistan: The Moderating Role of Cultural Values”. Journal of Public Affairs, 19(1), 1–15. https://doi.org/10.1002/pa.1884.

Alalwan, A. A., Dwivedi, Y. K., & Rana, N. (2017). Factors Influencing Adoption of Mobile Banking by Jordanian Bank Customers: Extending UTAUT2 with Trust. International Journal of Information Management, 33(3), 99–110. https://doi.org/10.1016/j.ijinfomgt.2017.01.002.

Apanasevic, T., Markendahl, J., & Arvidsson, N. (2016). Stakeholders’ Expectations of Mobile Payment in Retail: Lessons from Sweden. International Journal of Bank Marketing, 34(1), 37–61. https://doi.org/10.1108/IJBM-06-2014-0064.

Baptista, G., & Oliveira, T. (2015). Understanding Mobile Banking: The Unified Theory of Acceptance and Use of Technology Combined with Cultural Moderators. Computers in Human Behavior, 50, 418–430. https://doi.org/10.1016/j.chb.2015.04.024.

Belshaw, D. (2011). What is Digital Literacy? A Pragmatic Investigation. (Unpublished Ph.D Thesis). Durham: University of Durham, 274.

Coutinho, C. (2007). Cooperative Learning in Higher Education Using Weblogs: A Study with Undergraduate Students of Education in Portugal. IMSCI 2007 - International Multi-Conference on Society, Cybernetics and Informatics, Proceedings, 1, 60–64.

Darmansyah., Fianto, B. A., Hendratmi, A., & Aziz, P. F. (2020). Factors Determining Behavioral Intentions to Use Islamic Financial Technology: Three Competing Models. Journal of Islamic Marketing, 12(4), 794–812. https://doi.org/10.1108/JIMA-12-2019-0252.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly: Management Information Systems, 13(3), 319–339. https://doi.org/10.2307/249008.

Elhajjar, S., & Ouaida, F. (2019). An Analysis of Factors Affecting Mobile Banking Adoption. International Journal of Bank Marketing, 38(2), 352–367. https://doi.org/10.1108/IJBM-02-2019-0055.

Ghozali, I., & Latan, H. (2015). Partial Least Squares: Konsep, Teknik, dan Aplikasi Menggunakan Program Smart PLS 3.0 (2nd ed.). Semarang: BP Undip.

Glavee-Geo, R., Shaikh, A. A., & Karjaluoto, H. (2017). Mobile Banking Services Adoption in Pakistan: Are There Gender Differences? International Journal of Bank Marketing, 35(7), 1090–1114. https://doi.org/10.1108/IJBM-09-2015-0142.

Haider, M. J., Changchun, G., Akram, T., & Hussain, S. T. (2016). Does Gender Difference Play Any Role in Intention to Adopt Islamic Mobile Banking? An Empirical Study. Journal of Islamic Marketing, 9(2), 439–460. https://doi.org/10.1108/JIMA-11-2016-0082.

Hargittai, E., & Hinnant, A. (2008). Digital Inequality: Differences in Young Adults’ Use of the Internet. Communication Research, 35(5), 602–621. https://doi.org/10.1177/ 0093650208321782.

Hossain, A., Quaresma, R., & Rahman, H. (2019). Investigating Factors Influencing the Physicians’ Adoption of Electronic Health Record (EHR) in The Healthcare System of Bangladesh: An Empirical Study. International Journal of Information Management, 44, 76–87. https://doi.org/10.1016/j.ijinfomgt.2018.09.016.

Howard, P., Busch, L., & Sheets, P. (2010). Comparing Digital Divides: Internet Access and Social Inequality in Canada and the United States. Canadian Journal of Communication, 35(1), 109–128.

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), 166–169. https://doi.org/10.14419/ijet.v7i2.29.13310.

Jeremy, J., Shapiro, K., S., & Hughes. (1996). SK Information Literacy as a Liberal Art: Enlightenment Proposals for a New Curriculum. Educom Review, 31(2), 1–9.

Jung, L.-S. (2016). The Relationship Between Attitude and Satisfaction for Improving Continue User Intention in Fintech. International Journal of IT-Based Business Strategy Management, 2(1), 29–34.

Leong, L. Y., Hew, T. S., Tan, G. W. H., & Ooi, K. B. (2013). Predicting the Determinants of the NFC-Enabled Mobile Credit card Acceptance: A Neural Networks Approach. Expert Systems with Applications, 40(14), 5604–5620. https://doi.org/10.1016/ j.eswa.2013.04.018.

Mohd Thas Thaker, H., Khaliq, A., Ah Mand, A., Iqbal Hussain, H., Mohd Thas Thaker, M. A. B., & Allah Pitchay, A. B. (2020). Exploring The Drivers of Social Media Marketing in Malaysian Islamic Banks: an Analysis via Smart PLS Approach. Journal of Islamic Marketing, 12(1), 145–165. https://doi.org/10.1108/JIMA-05-2019-0095.

Morgan, P. J., & Long, T. Q. (2020). Financial Literacy, Financial Inclusion, and Savings Behavior in Laos. Journal of Asian Economics, 68(2), 101–197. https://doi.org/10.1016/ j.asieco.2020.101197.

Mukhtar, A. S., & Ahmad, S. (2010). Transformasi Pengurusan Zakat di Malaysia. Proceeding the 4th ISDEV International Islamic Development Conference (IDMAC) Organized by the Centre for Islamic Development Management Studies (ISDEV), University of Science, Malaysia.

Narayan, P. K., & Phan, D. H. B. (2019). A Survey of Islamic Banking and Finance Literature: Issues, Challenges, and Future Directions. Pacific-Basin Finance Journal, 53, 484–496. https://doi.org/10.1016/j.pacfin.2017.06.006.

Nedungadi, P., Devenport, K., Sutcliffe, R., & Raman, R. (2020). Towards a Digital Learning Ecology to Address The Grand Challenge in Adult Literacy. Interactive Learning Environments, 1–14. https://doi.org/10.1080/10494820.2020.1789668.

Oliveira, T., Thomas, M., Baptista, G., & Campos, F. (2016). Mobile Payment: Understanding The Determinants of Customer Adoption and Intention to Recommend The Technology. Computers in Human Behavior, 61(1), 404–414. https://doi.org/10.1016/j.chb.2016.03.030.

Ramos de Luna, I. R., Liébana-Cabanillas, F., Muñoz-Leiva, F., & Sánchez-Fernández, J. (2019). The Adoption of Mobile Payment Systems Depending on The Technology Applied. Technological Forecasting & Social Change, 146(9), 931–944. https://doi.org/10.1016/j.techfore.2018.09.018.

Rana, N. P., Dwivedi, Y. K., Williams, M. D., & Weerakkody, V. (2015). Investigating Success of an E-Government Initiative: Validation of an Integrated IS Success Model. Information Systems Frontiers, 17(1), 127–142. https://doi.org/10.1007/s10796-014-9504-7.

Raza, S. A., Shah, N., & Ali, M. (2018). Acceptance of Mobile Banking in Islamic Banks: Evidence from Modified UTAUT Model. Journal of Islamic Marketing, 10(1), 357–376. https://doi.org/10.1108/JIMA-04-2017-

Rodríguez-de-Dios, I., Oosten, J. M., & Igartua, J. J. (2018). A Study of The Relationship Between Parental Mediation and Adolescents’ Digital Skills, Online Risks, and Online Opportunities. Computers in Human Behavior, 82, 186–198. https://doi.org/10.1016/ j.chb.2018.01.012.

Ryu, H. S. (2018). What Makes Users Willing or Hesitant to Use Fintech? The Moderating Effect of User Type. Industrial Management and Data Systems, 118(3), 541–569. https://doi.org/10.1108/IMDS-07-2017-0325

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. https://doi.org/10.1016/j.elerap.2009.07.005.

Shin, D. H. (2009). Towards an Understanding of The Consumer Acceptance of Mobile Wallets. Computer in Human Behaviour, 25, 1343–1354. https://doi.org/10.1016/ j.chb.2009.06.001.

Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling Consumers’ Adoption Intentions of Remote Mobile Payments in The United Kingdom: Extending UTAUT with Innovativeness, Risk, and Trust. Psychology & Marketing, 32(8), 860–873. https://doi.org/10.1002/mar.20823.

Solomon, O., Shamsuddin, A., & Wahab, E. (2013). Identifying Factors That Determine Intention to Use Electronic Banking: a Conceptual Study. Middle East Journal of Scientific Research, 18(07), 1010–1022.

Stewart, H., & Jürjens, J. (2018). Data Security and Consumer Trust in FinTech Innovation in Germany", Information and Computer Security Emerald Insight. Information and Computer Security Emerald Insight, 26(1), 109–128. https://doi.org/10.1108/ICS-06-2017-0039.

Thaker, M. A. B. M. T., Pithcay, A. B. A., Thaker, H. B. M. T., & Amin, Md. F. B. (2019). Factors Influencing Consumers ‘Adoption of Islamic Mobile Banking Services in Malaysia. Journal of Islamic Marketing, 10(4), 1037–1056. https://doi.org/10.1108/JIMA-04-2018-0065.

Thakur, R., & Srivastava, M. (2014). Adoption Readiness, Personal Innovativeness, Perceived Risk, and Usage Intention Across Customer Groups for Mobile Payment Services in India. Internet Research, 24(3), 369–392. https://doi.org/10.1108/IntR-12-2012-0244.

Venkatesh, V., & Davis, F. (2000). A Theoretical Extension of The Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46(2), 186–204.

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, 10(3), 279–295. https://doi.org/10.1108/IJQSS-07-2017-0067.


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DOI: 10.15408/sjie.v10i2.21451

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