Determinant Factors of Islamic Financial Technology Acceptance Evidence from Indonesia

Main Article Content

Rita Rahayu https://orcid.org/0000-0001-5377-8818
Syahril Ali
Raudhatul Hidayah https://orcid.org/0000-0002-4551-7578
Sinta Nabila https://orcid.org/0009-0000-0614-8178

Keywords

Islamic Literacy, Financial Technology, TAM, Islamic FinTech

Abstract

The rapid development of the Islamic-based financial industry in Indonesia has not been followed by the development of Islamic Financial Technology (iFinTech). This certainly raises questions about what factors affect iFinTech acceptance in Indonesia. In this study, the Technology Acceptance Model (TAM) was applied to identify the determinant factors of iFinTech acceptance. In this regard, five factors were identified as the determinant factors of iFinTech acceptance, namely perceived ease of use, perceived usefulness, subjective norm, self-efficacy, and customer innovativeness. Using an online questionnaire, this study gathered 526 responses from people who lived in various areas of Indonesia. Data were analyzed by a Structural Equation Model, and it was found that, among the five variables investigated, four variables, which are perceived usefulness, subjective norm, self-efficacy, and customer innovativeness, have significant influence on iFinTech acceptance; while perceive ease of use was found have no effect on iFinTech acceptance. This result is expected to be an input for related parties, such as iFinTech providers and the government, in making policies to encourage the development of the iFinTech industry in Indonesia.


 

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References

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211.
Alam, S. S., Ali, M., & Jani, M. (2011). An Empirical Study of Factors Affecting Electronic Commerce Adoption among SMEs in Malaysia. Journal of Business Economics and Management, 12(2), 375–399. https://doi.org/10.3846/16111699.2011.576749
Ali, M., Raza, S. A., Khamis, B., Puah, C. H., & Amin, H. (2021). How perceived risk, benefit and trust determine user FinTech adoption: a new dimension for Islamic finance. Foresight, 23(4), 403–420. https://doi.org/10.1108/FS-09-2020-0095
Alwi, S., Nadia, M., Salleh, M., Alpandi, R. M., Farazh Ya’acob, F., Mariam, S., & Abdullah, M. (2021). FinTech As Financial Inclusion: Factors Affecting Behavioral Intention To Accept Mobile E-Wallet During Covid-19 Outbreak. Turkish Journal of Computer and Mathematics Education, 12(7), 2130–2141.
Alsmadi, A. A., Alrawashdeh, N., Al-Gasaymeh, A. S., Al-Hazimeh, A. M., & Alhawamdeh, L. (2023). Adoption of Islamic FinTech in Islamic lending services through prediction of behavioural intention. Kybernetes, preprint. https://doi.org/10.1108/K-10-2022-1362
Amin, H., Abdul‐Rahman, A. R., Ramayah, T., Supinah, R., & Mohd‐Aris, M. (2014). Determinants of online waqf acceptance: An empirical investigation. The Electronic Journal of Information Systems in Developing Countries, 60(1), 1–18. https://doi.org/10.1002/j.1681-4835.2014.tb00429.x
Amin, H., Abdul-Rahman, R.-A., & Abdul-Razak, D. (2013). An integrative approach for understanding Islamic home financing adoption in Malaysia. International Journal of Bank Marketing, 31(7), 544–573. https://doi.org/10.1108/IJBM-02-2013-0008
Bandura, A. (1977). Self-efficacy: toward a unifying theory of behavioral change. Psychological Review, 84(2), 191.
Bank Indonesia. (2021). Sharia Economic and Financial Report. https://www.bi.go.id/id/publikasi/laporan/Documents/Laporan-Ekonomi-dan-Keuangan-Syariah-20
BPS. (2020). Potret Sensus Penduduk 2020 Menuju Satu Data Kependudukan Indonesia, BPSRI. https://www.bps.go.id/id/publication/2021/01/21/213995c881428fef20a18226/potret-sensus-penduduk-2020-menuju-satu-data-kependudukan-indonesia.html
Bradley, R. L., Browne, B. L., & Kelley, H. M. (2017). Examining the influence of self-efficacy and self-regulation in online learning. College Student Journal, 51(4), 518-530.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Mahwah, NJ: Lawrence Erlbaum
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., Bagazzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: a Comparison of Two Theoretical Models. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982
Fauziah, Taib, M., 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. https://doi.org/10.1108/17538390810901168
Feyen, E., Frost, J., Gambacorta, L., Natarajan, H., & Saal, M. (2021). FinTech and the digital transformation of financial services: implications for market structure and public policy. BIS Papers, number 117. Bank for International Settlements. https://ideas.repec.org/b/bis/bisbps/117.html
Ghobakhloo, M., Arias-Aranda, D., & Benitez-Amado, J. (2011). Adoption of e-commerce applications in SMEs. In Industrial Management & Data Systems, 111(8), 1238–1269. https://doi.org/10.1108/02635571111170785
Ghobakhloo, M., & Tang, S. H. (2013). The role of owner/manager in adoption of electronic commerce in small businesses: The case of developing countries. Journal of Small Business and Enterprise Development, 20(4), 754–787. https://doi.org/10.1108/JSBED-12-2011-0037
Ghozali, I. (2016). Aplikasi analisis multivariate dengan progam IBM SPSS 20. Cetakan ke 8. Semarang. Badan Penerbit Universitas Diponegoro.
Hair, J., Hult, G. T., Ringle, C., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). Sage.
Ho, J. C., Wu, C. G., Lee, C. S., & Pham, T. T. T. (2020). Factors affecting the behavioral intention to adopt mobile banking: An international comparison. Technology in Society, 63(December 2019), 101360. https://doi.org/10.1016/j.techsoc.2020.101360
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). https://doi.org/10.3390/sym11030340
Hudaefi, F. A. (2020). How does Islamic FinTech promote the SDGs? Qualitative evidence from Indonesia. Qualitative Research in Financial Markets, 12(4), 353–366. https://doi.org/10.1108/QRFM-05-2019-0058
Hudaefi, F. A., Hassan, M. K., & Abduh, M. (2023). Exploring the development of Islamic FinTech ecosystem in Indonesia: a text analytics. Qualitative Research in Financial Markets, 15(3), 514–533. https://doi.org/10.1108/QRFM-04-2022-0058
Hui, H. W., Manaf, A. W. A., & Shakri, A. K. (2019). FinTech and the transformation of the Islamic finance regulatory framework in Malaysia. In Emerald Publishing Limited (Ed.), Emerging Issues in Islamic Finance Law and Practice in Malaysia (pp. 211–222). https://doi.org/10.1108/978-1-78973-545-120191018
IFD. (2020). Islamic Finance Development Report 2020: Progressing Through Adversity. https://icd-ps.org/uploads/files/ICD-Refinitiv%20IFDI%20Report%2020201607502893_2100.pdf
Kementrian Perencanaan Pembangunan Nasional. (2019). Masterplan Ekonomi Syariah Indonesia 2019–2024. https://kneks.go.id/storage/upload/1573459280-Masterplan%20Eksyar_Preview.pdf
Kongarchapatara, B., & Rodjanatara, C. (2018). Factors affecting adoption versus behavioral intention to use QR code payment application. In 2018 International Conference on E-Commerce, e-Administration, e-Society, e-Education, and e-Technology, Osaka, Japan. Accessed from https://www.researchgate.net/publication/325170335
Lada, S., Tanakinjal, G. H., & Amin, H. (2008). Predicting intention to choose halal products using theory of reasoned action. International Journal of Islamic and Middle Eastern Finance and Management, 2(1), 66–76. https://doi.org/10.1108/17538390910946276
Lassar, W., Manolis, C., & Lassar, S. S. (2005). The relationship between consumer innovativeness, personal characteristics, and online banking adoption. International Journal of Bank Marketing, 23(2), 176–199. https://doi.org/10.1108/02652320510584403
Lee, H., Qu, H., & Kim, Y. (2007). A study of the impact of personal innovativeness on online travel shopping behavior – a case study of Korean travelers. Tourism Management, 28(3), 886–897. https://doi.org/10.1016/j.tourman.2006.04.013
Liu, A.-C., & Chou, T.-Y. (2020). An Integrated Technology Acceptance Model to Approach the Behavioral Intention of Smart Home Appliance. The International Journal of Organizational Innovation, 13(2), 96.
Luszczynska, A., Schwarzer, R. (2015). Social Cognitive Theory. In M. Conner & P. Norman (Eds), Predicting and Changing Health Behaviour (2nd Ed., pp. 127–169). Buckingham, UK: Open University Press.
Majid, R. (2021). The Role of Religiosity in Explaining the Intention to use Islamic FinTech Amongst MSME Actors, International Journal of Islamic Economics and Finance, 4(2), 207–232. https://doi.org/10.18196/ijief.v4i2.11833
Marhaini, W., Ahmad, W., & Rahman, A. A. (2005). Riba dan gharar dalam insurans: satu analisis fiqh. Jurnal Fiqh, 2, 97–118. https://doi.org/10.22452/fiqh.vol2no1.5
Marcati, A., Guido, G., & Peluso, A. M. (2008). The role of SME entrepreneurs’ innovativeness and personality in the adoption of innovations. Research Policy, 37(9), 1589–1590. https://doi.org/10.1016/j.respol.2008.06.004
Miskam, S., Yaacob, A. M., &, & Rosman, R. (2019). FinTech and its impact on Islamic fund management in Malaysia: a legal viewpoint. Emerging Issues in Islamic Finance Law and Practice in Malaysia. https://doi.org/10.1108/978-1-78973-545-120191019
Morgan, P. J., Huang, B., & Trinh, L. Q. (2019). The Need to Promote Digital Financial Literacy for the Digital Age. The 2019 G20 Osaka Summit, Japan: The Future of Work and Education for the Digital Age, August, 40–46. https://www.adb.org/sites/default/files/publication/503706/adbi-realizing-education-all-digital-age.pdf#page=56https://www.adb.org/sites/default/files/publication/503706/adbi-realizing-education-all-digital-age.pdf#page=56
Muryanto, Y. T., Kharisma, D. B., & Ciptorukmi Nugraheni, A. S. (2022). Prospects and challenges of Islamic FinTech in Indonesia: a legal viewpoint. International Journal of Law and Management, 64(2), 239–252. https://doi.org/10.1108/IJLMA-07-2021-0162
Nurfadilah, D., & Samidi, S. (2021). How the Covid-19 Crisis Is Affecting Customers’ Intention To Use Islamic FinTech Services: Evidence From Indonesia. Journal of Islamic Monetary Economics and Finance, 7(1), 83–114. https://doi.org/10.21098/jimf.v7i0.1318
OJK. (2020). Strategi Nasional Literasi Keuangan Indonesia [National Strategy of Indonesian Financial Literacy 2021-2025]. Otoritas Jasa Keuangan [Financial Services Authority]. https://ojk.go.id/id/berita-dan-kegiatan/publikasi/Documents/Pages/Strategi-Nasional-Literasi-Keuangan-Indonesia-2021-2025/Strategi%20Nasional%20Literasi%20Keuangan%20Indonesia%202021-2025.pdf
Oliveira, T., & Martins, M. F. (2010). Understanding e-business adoption across industries in European countries. Industrial Management and Data Systems, 110(9), 1337–1354. https://doi.org/10.1108/02635571011087428
Rahayu, R., & Day, J. (2015). Determinant Factors of E-commerce Adoption by SMEs in Developing Country: Evidence from Indonesia. Procedia - Social and Behavioral Sciences, 195, 142–150. https://doi.org/http://dx.doi.org/10.1016/j.sbspro.2015.06.423
Rahayu, R., & Day, J. (2017). E-commerce adoption by SMEs in developing countries: evidence from Indonesia. Eurasian Business Review, 7, 25–41. https://doi.org/10.1007/s40821-016-0044-6
Rahayu, R. (2022a). Factors That Influence the Behavioural Intention to Use E-Payments in Indonesia. Ekonomis: Journal of Economics and Business, 6(1), 116. https://doi.org/10.33087/ekonomis.v6i1.504
Rahayu, R., Ali, S., Aulia, A., & Hidayah, R. (2022b). The current digital financial literacy and financial behavior in Indonesian millennial generation. Journal of Accounting and Investment, 23(1), 78–94. https://doi.org/10.18196/jai.v23i1.13205
Rahayu, R., Juita, V., & Rahman, A. (2023). Financial literacy, digital financial literacy and women’s economic empowerment: Study in West sumatera, Indonesia. Journal of Telecommunications and the Digital Economy, 11(2), 118–138. https://doi.org/10.18080/jtde.v11n2.700
Rogers, E. M. (2002). Diffusion of preventive innovations. Addictive Behaviors, 27, 989–993.
Rudiansyah. (2020). Telaah Gharar, Riba, dan Maisir dalam Perspektif Transaksi Ekonomi Islam. Al-Huquq: Journal of Indonesian Islamic Economic Law, 2(1), 98–113. https://doi.org/10.19105/alhuquq.v2i1.2818
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.
Setiawan, M., Effendi, N., Santoso, T., Dewi, V. I., & Sapulette, M. S. (2020). Digital financial literacy, current behavior of saving and spending and its future foresight. Economics of Innovation and New Technology, 31(4), 320–338. https://doi.org/10.1080/10438599.2020.1799142
Shahzad, A., Zahrullail, N., Akbar, A., Mohelska, H., & Hussain, A. (2022). COVID-19’s Impact on FinTech Adoption: Behavioral Intention to Use the Financial Portal. Journal of Risk and Financial Management, 15(10), 428. https://doi.org/10.3390/jrfm15100428
Shaikh, I. M., Noordin, K., & Alsharief, A. (2018). Factors influencing customers’ acceptance towards diminishing partnership home financing: a study of Pakistan. Islamic Economic Studies, 26(1), 63–86. https://doi.org/10.12816/0050311
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, 22(3), 367–383. https://doi.org/10.1108/FS-12-2019-0105
Tamjidyamcholo, Alireza, Baba, M. S. Bin, Tamjid, H., & Gholipour, R. (2013). Information security–Professional perceptions of knowledge-sharing intention under self-efficacy, trust, reciprocity, and shared-language. Computers & Education, 68, 223–232. https://doi.org/10.1016/j.compedu.2013.05.010
Thaker, M. T, Mohd Thas, M. A., Thaker, H., & Allah Pitchay, A. (2018). Modeling crowdfunders’ behavioral intention to adopt the crowdfunding-waqf model (CWM) in Malaysia: The theory of the technology acceptance model. International Journal of Islamic and Middle Eastern Finance and Management, 11(2), 231–249. https://doi.org/10.1108/IMEFM-06-2017-0157
Thong, J. Y. L., & Yap, C. S. (1995). CEO characteristics, organizational characteristics and information technology adoption in small businesses. Omega, 23(4), 429–442. https://doi.org/10.1016/0305-0483(95)00017-I
Venkatesh, V., & Bala, H. (2008). Technology Acceptance Model 3 and a Research Agenda on Interventions. Decision Sciences, 39(2), 273–315. https://doi.org/10.1111/j.1540-5915.2008.00192.x
Venkatesh, V., & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: development and test. Decision Sciences, 23(3), 451–481. https://doi.org/10.1111/j.1540-5915.1996.tb00860.x