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Abstract
Introduction
The rapid growth of financial technology has led to the emergence of sharia-compliant services like SyarQ, an Islamic-based online installment platform. Understanding the factors that influence consumer interest in such services is essential for their adoption and success.
Objectives
This study aims to analyze the factors affecting users' interest in using SyarQ's services by integrating the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB).
Method
A quantitative and exploratory research design was employed, utilizing online questionnaires distributed to 100 verified SyarQ users. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) to test the proposed hypotheses and examine the relationships between variables.
Results
The findings reveal that user attitude has a positive and significant effect on the interest in using SyarQ services. Perceived behavioral control positively influences perceived ease of use but does not significantly affect interest directly. Perceived ease of use positively affects both attitude and perceived usefulness. Subjective norms have a positive and significant impact on perceived usefulness but do not significantly influence interest. Perceived usefulness does not have a significant effect on attitude or interest.
Implications
The study suggests that enhancing user attitudes and simplifying the user experience can increase consumer interest in Sharia-compliant fintech services like SyarQ. Providers should focus on improving the ease of use and addressing factors that positively influence user attitudes to attract and retain customers.
Originality/Novelty
This research contributes to the existing literature by combining TAM and TPB to examine user interest in a Sharia-compliant fintech platform. It offers valuable insights into consumer behavior within Islamic financial services, a relatively underexplored area.
Keywords
Article Details
Copyright (c) 2024 Tri Yuniati, Yuli Andriansyah, José Duarte Moleiro Martins
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References
Adawiyah, A., & Falahuddin. (2024). Analysis of practical conformity on Syarq.com based on syariah fintech with the fatwa of muamalah maliyah DSN-MUI. Global Sharia Economics Research and Actual Management, 1(1), 30–44. http://geramjournal.org/index.php/go/article/view/5
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action Control: From Cognition to Behavior (pp. 11–39). Springer. https://doi.org/10.1007/978-3-642-69746-3_2
Ajzen, I. (1987). Attitudes, traits, and actions: Dispositional prediction of behavior in personality and social psychology. In L. Berkowitz (Ed.), Advances in Experimental Social Psychology (Vol. 20, pp. 1–63). Academic Press. https://doi.org/10.1016/S0065-2601(08)60411-6
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Alkadi, R. S., & Abed, S. S. (2023). Consumer acceptance of fintech app payment services: A systematic literature review and future research agenda. Journal of Theoretical and Applied Electronic Commerce Research, 18(4), 1838–1860. https://doi.org/10.3390/jtaer18040093
Alrasyid, H., Rabbani, M. R., & Afifudin. (2023). Embracing the digital economy: Exploring the role of trust, perceived ease of use, and religiosity on intention to use Islamic peer-to-peer lending. JEMA: Jurnal Ilmiah Bidang Akuntansi Dan Manajemen, 20(2), 284–306. https://doi.org/10.31106/jema.v20i2.9097
Amalia, S. N. A. (2018). Faktor-faktor yang mempengaruhi minat individu terhadap financial technology (fintech) syariah (PayTren) sebagai salah satu alat transaksi pembayaran (Pendekatan technology acceptance model (TAM) dan theory of planned behavior (TPB)) [Factors that influence individual interest in Islamic financial technology (fintech) (PayTren) as a means of payment transactions (Technology acceptance model (TAM) and theory of planned behavior (TPB) approaches)]. Iqtishaduna, 9(1), 64–79. https://doi.org/10.20414/iqtishaduna.v9i1.687
Andespa, R., Yeni, Y. H., Fernando, Y., & Sari, D. K. (2024). Sustainable development of Islamic banks by creating Islamic branding: Challenges, importance, and strategies of Islamic branding. International Journal of Sustainable Development and Planning, 19(2), 637–650. https://doi.org/10.18280/ijsdp.190221
Arora, A., Gupta, S., Devi, C., & Walia, N. (2023). Customer experiences in the era of artificial intelligence (AI) in context to FinTech: A fuzzy AHP approach. Benchmarking: An International Journal, 30(10), 4342–4369. https://doi.org/10.1108/BIJ-10-2021-0621
Aziz, N. H. A., Mohamed, I. S., & Zakaria, N. B. (2015). Security, risk and trust issues among Muslim users for online businesses. Procedia Economics and Finance, 31, 587–594. https://doi.org/10.1016/S2212-5671(15)01207-1
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. https://doi.org/10.1108/IMDS-08-2018-0368
Borhan, M. N., Ibrahim, A. N. H., Miskeen, M. A. A., Rahmat, R. A. O. K., & Alhodairi, A. M. (2017). Predicting car drivers’ intention to use low cost airlines for intercity travel in Libya. Journal of Air Transport Management, 65, 88–98. https://doi.org/10.1016/j.jairtraman.2017.09.004
Çelik, H. (2008). What determines Turkish customers’ acceptance of internet banking? International Journal of Bank Marketing, 26(5), 353–370. https://doi.org/10.1108/02652320810894406
Cheng, E. W. L. (2019). Choosing between the theory of planned behavior (TPB) and the technology acceptance model (TAM). Educational Technology Research and Development, 67(1), 21–37. https://doi.org/10.1007/s11423-018-9598-6
Chowdhury, O., Rishat, M. A. S. A., Al-Amin, Md., & Azam, Md. H. B. (2023). The decentralized shariah-based banking system in Bangladesh using block-chain technology. International Journal of Information Engineering and Electronic Business, 15(3), 12–28. https://doi.org/10.5815/ijieeb.2023.03.02
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
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. https://doi.org/10.1287/mnsc.35.8.982
Durai, T., & Lallawmawmi, F. (2023). Application of technology acceptance model (TAM) in fintech mobile applications for banking. In M. Naved, V. Ajantha Devi, & A. K. Gupta (Eds.), Fintech and Cryptocurrency (pp. 325–350). Wiley. https://doi.org/10.1002/9781119905028.ch15
Elie-Dit-Cosaque, C., Pallud, J., & Kalika, M. (2011). The influence of individual, contextual, and social factors on perceived behavioral control of information technology: A field theory approach. Journal of Management Information Systems, 28(3), 201–234. https://doi.org/10.2753/MIS0742-1222280306
Etikan, I., Musa, S. A., & Alkassim, R. S. (2015). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11
Faujan, W. (2019). Pengaruh perceived ease of use dan perceived usefulness terhadap repurchase intention dengan customer satisfaction sebagai intervening: Studi kasus pada pengguna aplikasi PayTren komunitas Griya Inspira [The influence of perceived ease of use and perceived usefulness on repurchase intention with customer satisfaction as an intervening factor: A case study on PayTren application users in the Griya Inspira community] [Bachelor’s thesis, Universitas Negeri Jakarta]. //lib.unj.ac.id%2Ftugasakhir%2Findex.php%3Fp%3Dshow_detail%26id%3D66097%26keywords%3D
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. https://doi.org/10.1080/07421222.2018.1440766
Hagger, M. S., Cheung, M. W.-L., Ajzen, I., & Hamilton, K. (2022). Perceived behavioral control moderating effects in the theory of planned behavior: A meta-analysis. Health Psychology, 41(2), 155–167. https://doi.org/10.1037/hea0001153
Hanson, J. D., Nothwehr, F., Yang, J. G., & Romitti, P. (2015). Indirect and direct perceived behavioral control and the role of intention in the context of birth control behavior. Maternal and Child Health Journal, 19(7), 1535–1542. https://doi.org/10.1007/s10995-014-1658-x
Harahap, B., Risfandy, T., & Futri, I. N. (2023). Islamic law, Islamic finance, and sustainable development goals: A systematic literature review. Sustainability, 15(8), 6626. https://doi.org/10.3390/su15086626
Harsanto, W. A., Matondang, N., & Wibowo, R. P. (2023). The use of technology acceptance model (TAM) to analyze consumer acceptance towards e-commerce websites. A case of the Plantage.id digital transformation solution. Journal of Environmental and Development Studies, 4(2), 206–213. https://doi.org/10.32734/jeds.v4i2.13144
Hess, T. J., McNab, A. L., & Basoglu, K. A. (2014). Reliability generalization of perceived ease of use, perceived usefulness, and behavioral intentions. MIS Quarterly, 38(1), 1–28. https://www.jstor.org/stable/26554866
Ilona, D. & Zaitul. (2024). Behavioural intention to use accounting application: Perceived ease of use as mediating variable. Journal of Management Info, 7(4), 211–218. https://doi.org/10.31580/jmi.v7i4.1610
Institute for Development of Economics & Finance. (2024). Peran platform digital terhadap pengembangan UMKM di Indonesia: Dorong omzet naik dan ciptakan lapangan kerja baru [The role of digital platforms in developing MSMEs in Indonesia: Boosting turnover and creating new jobs]. Institute for Development of Economics & Finance. https://indef.or.id/wp-content/uploads/2024/01/Laporan-Final-Peran-Platform-Digital-Terhadap-Pengembangan-UMKM-di-Indonesia-INDEF.pdf
Istiasih, H., Irmayanti, E., Afandi, T. Y., & Surindra, B. (2022). Application of the TPB model in analysising the consumption behavior intentions of organic halal food. International Journal of Humanities Education and Social Sciences (IJHESS), 2(3), 921–935. https://doi.org/10.55227/ijhess.v2i3.318
Kiliç, G. (2023). The emergence of Islamic fintech and its applications. International Journal of Islamic Economics and Finance Studies, 9(2), 212–236. https://doi.org/10.54427/ijisef.1328087
Kumar Kakar, A. (2017). How do perceived enjoyment and perceived usefulness of a software product interact over time to impact technology acceptance? Interacting with Computers, 29(4), 467–480. https://doi.org/10.1093/iwc/iwx006
Kusuma, K., Sheela, P., Panigrahi, R. R., & Shaikh, Z. H. (2023). Blockchain technology and Islamic finance: A decade of growth trends. In M. Irfan, S. Kadry, M. Sharif, & H. U. Khan (Eds.), Advances in Finance, Accounting, and Economics (pp. 59–79). IGI Global. https://doi.org/10.4018/979-8-3693-1038-0.ch004
Laldin, M. A., & Furqani, H. (2019). Fintech and Islamic finance. In U. A. Oseni & S. N. Ali (Eds.), Fintech In Islamic Finance (pp. 113–119). Routledge. https://doi.org/10.4324/9781351025584-8
Lateefa, C., Naufalia, R., & Yassar, D. (2021). Usefulness factors to predict the continuance intention using mobile payment, case study: GO-Pay, OVO, Dana. Journal of Soft Computing Exploration, 2(2), 115–126. https://doi.org/10.52465/joscex.v2i2.50
Madani, H. R. (2021). Implementasi penggunaan kecerdasan buatan pada industri fintech syariah [Implementation of the use of artificial intelligence in the sharia fintech industry]. Jurnal Geuthèë: Penelitian Multidisiplin, 4(3), 128–141. https://doi.org/10.52626/jg.v4i3.121
Ma’ruf, A. (2016). Minat penggunaan produk e-money di kalangan mahasiswa Yogyakarta (Analisis faktor pengaruh berdasarkan perspektif TAM dan TPB) [Interest in using e-money products among Yogyakarta students (Analysis of influencing factors based on TAM and TPB perspectives)] [Bachelor’s thesis, Universitas Islam Negeri Sunan Kalijaga]. https://digilib.uin-suka.ac.id/id/eprint/24169/
Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173–191. https://doi.org/10.1287/isre.2.3.173
Meena, R. (2023). The impact of financial technology on financial services: A comprehensive analysis. Research Review International Journal of Multidisciplinary, 8(3), 185–192. https://doi.org/10.31305/rrijm.2023.v08.n03.022
Minz, N. K., Mushir, N., Tanwar, S., & Chaffai, M. (2023). Islamic finance and fintech: A scoping review. In M. Irfan, S. Kadry, M. Sharif, & H. U. Khan (Eds.), Advances in Finance, Accounting, and Economics (pp. 150–170). IGI Global. https://doi.org/10.4018/979-8-3693-1038-0.ch010
Mishra, S., & Kaur, R. (2023). Investigating consumer’s buying behaviour of green products through the lenses of extended theory of planned behaviour. Management of Environmental Quality: An International Journal. https://doi.org/10.1108/MEQ-11-2022-0315
Mujiatun, S., Julita, Effendi, I., Rahmayati, & Badawi, A. (2022). Sharia financial technology (fintech) management model in Indonesia. Cuadernos de Economía, 45(128), 145–156. https://cude.es/submit-a-manuscript/index.php/CUDE/article/view/297
Muryanto, Y. T. (2022). The urgency of sharia compliance regulations for Islamic Fintechs: A comparative study of Indonesia, Malaysia and the United Kingdom. Journal of Financial Crime, 30(5), 1264–1278. https://doi.org/10.1108/JFC-05-2022-0099
Ng, A., Ibrahim, M., & Mirakhor, A. (2015). On building social capital for Islamic finance. International Journal of Islamic and Middle Eastern Finance and Management, 8(1), 2–19. https://doi.org/10.1108/IMEFM-04-2014-0040
Ngo, H. M., Liu, R., Moritaka, M., & Fukuda, S. (2023). Determinants of consumer intention to purchase food with safety certifications in emerging markets: Evidence from Vietnam. Journal of Agribusiness in Developing and Emerging Economies, 13(2), 243–259. https://doi.org/10.1108/JADEE-06-2021-0138
Nguyen, D. T. M., & Nguyen, K. N. (2023). Behavioral tendency of students using Internet Banking: The integration of TAM and TPB. Global Conference on Business and Social Sciences Proceeding, 15(1), 81–81. https://doi.org/10.35609/gcbssproceeding.2023.1(81)
Oamen, T. E. (2023). Technology acceptance model (TAM) for pharmaceutical marketing executives: Validation and implications for human resource management. Jurnal Aplikasi Manajemen, 21(4), 876–891. https://doi.org/10.21776/ub.jam.2023.021.04.02
Oxford Analytica. (2022). Indonesia tightens rules as digital economy booms. Emerald Expert Briefings. https://doi.org/10.1108/OXAN-DB272535
Pan, S., & Jordan-Marsh, M. (2010). Internet use intention and adoption among Chinese older adults: From the expanded technology acceptance model perspective. Computers in Human Behavior, 26(5), 1111–1119. https://doi.org/10.1016/j.chb.2010.03.015
Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59(9), 999–1007. https://doi.org/10.1016/j.jbusres.2006.06.003
Pramusinto, H., Nurkhin, A., Saputro, I. H., Kholid, A., & Septiarini, A. (2021). Determinant of the use of Go-Pay among university student; An extended the unified theory of acceptance and use of technology (UTAUT) perspective. Journal of Physics: Conference Series, 1933(1), 012052. https://doi.org/10.1088/1742-6596/1933/1/012052
Pusparini, M. D., Fatimah, A., & Andriansyah, Y. (2020). User perception of Shari’ah compliance in PayTren. In F. L. Gaol, N. Filimonova, I. Frolova, & I. Vladimirovna (Eds.), Inclusive Development of Society (pp. 256–263). CRC Press.
Qadri, H. M. ud D., & Ali, H. (2024). Islamic microfinance: Landscape, models and future prospects. Walter de Gruyter GmbH & Co KG.
Qudah, H., Malahim, S., Airout, R., Alomari, M., Hamour, A. A., & Alqudah, M. (2023). Islamic finance in the era of financial technology: A bibliometric review of future trends. International Journal of Financial Studies, 11(2), 76. https://doi.org/10.3390/ijfs11020076
Rahardja, U., Hapsari, I. D., Putra, P. O. H., & Hidayanto, A. N. (2023). Technological readiness and its impact on mobile payment usage: A case study of Go-Pay. Cogent Engineering. https://www.tandfonline.com/doi/abs/10.1080/23311916.2023.2171566
Rahayu, R. W. (2018). Pengaruh Persepsi Manfaat, Persepsi Kemudahan, Persepsi Risko, dan Inovasi Teknologi Terhadap Aplikasi Go Pay Dari PT. Gojek Indonesia [Bachelor’s thesis, Universitas Islam Indonesia]. https://dspace.uii.ac.id/handle/123456789/7930
Rahim, H. (2017). Analisis pengaruh persepsi resiko, dan kepercayaan terhadap minat transaksi penggunaan PayTren pada PT. Veritra Sentosa Internasional [Analysis of the influence of risk perception and trust on transaction interest in using PayTren at PT. Veritra Sentosa Internasional]. Jurnal EKOBISTEK Fakultas Ekonomi, 6(2), 274–285. http://garuda.kemdikbud.go.id/documents/detail/1235022
Rahim, N. @ F., Bakri, M. H., Fianto, B. A., Zainal, N., & Shami, S. A. H. A. (2022). Measurement and structural modelling on factors of Islamic Fintech adoption among millennials in Malaysia. Journal of Islamic Marketing, 14(6), 1463–1487. https://doi.org/10.1108/JIMA-09-2020-0279
Rajković, P., Aleksić, D., Janković, D., Milenković, A., & Petković, I. (2018). Checking the potential shift to perceived usefulness—The analysis of users’ response to the updated electronic health record core features. International Journal of Medical Informatics, 115, 80–91. https://doi.org/10.1016/j.ijmedinf.2018.04.011
Raut, R. K., & Kumar, S. (2024). An integrated approach of TAM and TPB with financial literacy and perceived risk for influence on online trading intention. Digital Policy, Regulation and Governance, 26(2), 135–152. https://doi.org/10.1108/DPRG-07-2023-0101
Raziah, I. (2018). Pengaruh kualitas layanan terhadap kepuasan nasabah lembaga financial technology [The influence of service quality on customer satisfaction of financial technology institutions] [Bachelor’s thesis, Universitas Muhammadiyah Yogyakarta]. https://repository.umy.ac.id/handle/123456789/23975
Saleh, I., Fahrina Mustafa, Mohamad Trio Febriyantoro, Imman Yusuf Sitinjak, & Amat Suroso. (2023). The analysis of use of PayTren payment system in increasing consumer behavioral intention. JEMSI (Jurnal Ekonomi, Manajemen, Dan Akuntansi), 9(1), 119–124. https://doi.org/10.35870/jemsi.v9i1.926
Sofyan, S., Syamsu, N., & Noval, N. (2023). Sharia fintech education for disaster-affected communities in Palu City. Journal of Community Service: In Economics, Bussiness, and Islamic Finance, 1(1), 1–8. https://doi.org/10.24239/jcsebif.v1i1.2395.1-8
Suhaimi, M. A., Mohamed Razi, M. J., Hussin, H., Muhammad, M. R., Muhammad, M., & Abdullah, K. (2013). Conceptualizing trust-based online behavior model for Muslim consumers. 2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M), 1–6. https://doi.org/10.1109/ICT4M.2013.6518905
Supriadi, I., Maghfiroh, R. U., & Abadi, R. (2023). Accelerating Islamic economy and finance through financial technology: Challenges and potential in the digital age. International Journal of Islamic Economics, 5(2), 153–168. https://doi.org/10.32332/ijie.v5i02.7740
Tang, X., Zainal, S. R. B. M., & Li, Q. (2023). Multimedia use and its impact on the effectiveness of educators: A technology acceptance model perspective. Humanities and Social Sciences Communications, 10(1), 923. https://doi.org/10.1057/s41599-023-02458-4
Thayib, S. R., & Ajuna, H. N. A. (2022). Internalisasi Islamic business ethic pada fintech syariah [Internalization of Islamic business ethics in sharia fintech]. Finansha: Journal of Sharia Financial Management, 3(2), 76–86. https://doi.org/10.15575/fjsfm.v3i2.21066
Tongco, Ma. D. C. (2007). Purposive sampling as a tool for informant selection. Ethnobotany Research and Applications, 5, 147. https://doi.org/10.17348/era.5.0.147-158
Troise, C., O’Driscoll, A., Tani, M., & Prisco, A. (2020). Online food delivery services and behavioural intention – A test of an integrated TAM and TPB framework. British Food Journal, 123(2), 664–683. https://doi.org/10.1108/BFJ-05-2020-0418
Wang, K. (2023). The perception and behavioral intention toward MOOCs: Undergraduates in China. The International Review of Research in Open and Distributed Learning, 24(1), 22–46. https://doi.org/10.19173/irrodl.v24i1.6677
Westland, J. C. (2010). Lower bounds on sample size in structural equation modeling. Electronic Commerce Research and Applications, 9(6), 476–487. https://doi.org/10.1016/j.elerap.2010.07.003
Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and Psychological Measurement, 73(6), 913–934. https://doi.org/10.1177/0013164413495237
Yahya, A. (2021, January 18). Sharia fintech development in Indonesia. Proceedings of the 1st International Conference on Economics Engineering and Social Science, InCEESS 2020, 17-18 July, Bekasi, Indonesia. https://eudl.eu/doi/10.4108/eai.17-7-2020.2302984
Youk, S., & Park, H. S. (2023). Who is (communicatively more) responsible behind the wheel? Applying the theory of communicative responsibility to TAM in the context of using navigation technology. Human-Machine Communication, 6, 203–230. https://doi.org/10.30658/hmc.6.11
Yusuf, M. (2023). Inovasi teknologi finansial (fintech) dalam pengelolaan keuangan institusi pendidikan Islam [Financial technology (fintech) innovation in the financial management of Islamic educational institutions]. Diksi: Jurnal Pendidikan Dan Literasi, 2(2), 159–182. https://doi.org/10.62719/diksi.v2i2.41
Zaid, Z., Shinta, A., & Al Bahy, M. P. (2022). Exploring the role of theory of planned behavior on COVID-19 vaccination intention. Journal of Educational, Health and Community Psychology, 11(3), 608–624. https://doi.org/10.12928/jehcp.v11i3.23829
References
Adawiyah, A., & Falahuddin. (2024). Analysis of practical conformity on Syarq.com based on syariah fintech with the fatwa of muamalah maliyah DSN-MUI. Global Sharia Economics Research and Actual Management, 1(1), 30–44. http://geramjournal.org/index.php/go/article/view/5
Ajzen, I. (1985). From intentions to actions: A theory of planned behavior. In J. Kuhl & J. Beckmann (Eds.), Action Control: From Cognition to Behavior (pp. 11–39). Springer. https://doi.org/10.1007/978-3-642-69746-3_2
Ajzen, I. (1987). Attitudes, traits, and actions: Dispositional prediction of behavior in personality and social psychology. In L. Berkowitz (Ed.), Advances in Experimental Social Psychology (Vol. 20, pp. 1–63). Academic Press. https://doi.org/10.1016/S0065-2601(08)60411-6
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. https://doi.org/10.1016/0749-5978(91)90020-T
Alkadi, R. S., & Abed, S. S. (2023). Consumer acceptance of fintech app payment services: A systematic literature review and future research agenda. Journal of Theoretical and Applied Electronic Commerce Research, 18(4), 1838–1860. https://doi.org/10.3390/jtaer18040093
Alrasyid, H., Rabbani, M. R., & Afifudin. (2023). Embracing the digital economy: Exploring the role of trust, perceived ease of use, and religiosity on intention to use Islamic peer-to-peer lending. JEMA: Jurnal Ilmiah Bidang Akuntansi Dan Manajemen, 20(2), 284–306. https://doi.org/10.31106/jema.v20i2.9097
Amalia, S. N. A. (2018). Faktor-faktor yang mempengaruhi minat individu terhadap financial technology (fintech) syariah (PayTren) sebagai salah satu alat transaksi pembayaran (Pendekatan technology acceptance model (TAM) dan theory of planned behavior (TPB)) [Factors that influence individual interest in Islamic financial technology (fintech) (PayTren) as a means of payment transactions (Technology acceptance model (TAM) and theory of planned behavior (TPB) approaches)]. Iqtishaduna, 9(1), 64–79. https://doi.org/10.20414/iqtishaduna.v9i1.687
Andespa, R., Yeni, Y. H., Fernando, Y., & Sari, D. K. (2024). Sustainable development of Islamic banks by creating Islamic branding: Challenges, importance, and strategies of Islamic branding. International Journal of Sustainable Development and Planning, 19(2), 637–650. https://doi.org/10.18280/ijsdp.190221
Arora, A., Gupta, S., Devi, C., & Walia, N. (2023). Customer experiences in the era of artificial intelligence (AI) in context to FinTech: A fuzzy AHP approach. Benchmarking: An International Journal, 30(10), 4342–4369. https://doi.org/10.1108/BIJ-10-2021-0621
Aziz, N. H. A., Mohamed, I. S., & Zakaria, N. B. (2015). Security, risk and trust issues among Muslim users for online businesses. Procedia Economics and Finance, 31, 587–594. https://doi.org/10.1016/S2212-5671(15)01207-1
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. https://doi.org/10.1108/IMDS-08-2018-0368
Borhan, M. N., Ibrahim, A. N. H., Miskeen, M. A. A., Rahmat, R. A. O. K., & Alhodairi, A. M. (2017). Predicting car drivers’ intention to use low cost airlines for intercity travel in Libya. Journal of Air Transport Management, 65, 88–98. https://doi.org/10.1016/j.jairtraman.2017.09.004
Çelik, H. (2008). What determines Turkish customers’ acceptance of internet banking? International Journal of Bank Marketing, 26(5), 353–370. https://doi.org/10.1108/02652320810894406
Cheng, E. W. L. (2019). Choosing between the theory of planned behavior (TPB) and the technology acceptance model (TAM). Educational Technology Research and Development, 67(1), 21–37. https://doi.org/10.1007/s11423-018-9598-6
Chowdhury, O., Rishat, M. A. S. A., Al-Amin, Md., & Azam, Md. H. B. (2023). The decentralized shariah-based banking system in Bangladesh using block-chain technology. International Journal of Information Engineering and Electronic Business, 15(3), 12–28. https://doi.org/10.5815/ijieeb.2023.03.02
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008
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. https://doi.org/10.1287/mnsc.35.8.982
Durai, T., & Lallawmawmi, F. (2023). Application of technology acceptance model (TAM) in fintech mobile applications for banking. In M. Naved, V. Ajantha Devi, & A. K. Gupta (Eds.), Fintech and Cryptocurrency (pp. 325–350). Wiley. https://doi.org/10.1002/9781119905028.ch15
Elie-Dit-Cosaque, C., Pallud, J., & Kalika, M. (2011). The influence of individual, contextual, and social factors on perceived behavioral control of information technology: A field theory approach. Journal of Management Information Systems, 28(3), 201–234. https://doi.org/10.2753/MIS0742-1222280306
Etikan, I., Musa, S. A., & Alkassim, R. S. (2015). Comparison of convenience sampling and purposive sampling. American Journal of Theoretical and Applied Statistics, 5(1), 1–4. https://doi.org/10.11648/j.ajtas.20160501.11
Faujan, W. (2019). Pengaruh perceived ease of use dan perceived usefulness terhadap repurchase intention dengan customer satisfaction sebagai intervening: Studi kasus pada pengguna aplikasi PayTren komunitas Griya Inspira [The influence of perceived ease of use and perceived usefulness on repurchase intention with customer satisfaction as an intervening factor: A case study on PayTren application users in the Griya Inspira community] [Bachelor’s thesis, Universitas Negeri Jakarta]. //lib.unj.ac.id%2Ftugasakhir%2Findex.php%3Fp%3Dshow_detail%26id%3D66097%26keywords%3D
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. https://doi.org/10.1080/07421222.2018.1440766
Hagger, M. S., Cheung, M. W.-L., Ajzen, I., & Hamilton, K. (2022). Perceived behavioral control moderating effects in the theory of planned behavior: A meta-analysis. Health Psychology, 41(2), 155–167. https://doi.org/10.1037/hea0001153
Hanson, J. D., Nothwehr, F., Yang, J. G., & Romitti, P. (2015). Indirect and direct perceived behavioral control and the role of intention in the context of birth control behavior. Maternal and Child Health Journal, 19(7), 1535–1542. https://doi.org/10.1007/s10995-014-1658-x
Harahap, B., Risfandy, T., & Futri, I. N. (2023). Islamic law, Islamic finance, and sustainable development goals: A systematic literature review. Sustainability, 15(8), 6626. https://doi.org/10.3390/su15086626
Harsanto, W. A., Matondang, N., & Wibowo, R. P. (2023). The use of technology acceptance model (TAM) to analyze consumer acceptance towards e-commerce websites. A case of the Plantage.id digital transformation solution. Journal of Environmental and Development Studies, 4(2), 206–213. https://doi.org/10.32734/jeds.v4i2.13144
Hess, T. J., McNab, A. L., & Basoglu, K. A. (2014). Reliability generalization of perceived ease of use, perceived usefulness, and behavioral intentions. MIS Quarterly, 38(1), 1–28. https://www.jstor.org/stable/26554866
Ilona, D. & Zaitul. (2024). Behavioural intention to use accounting application: Perceived ease of use as mediating variable. Journal of Management Info, 7(4), 211–218. https://doi.org/10.31580/jmi.v7i4.1610
Institute for Development of Economics & Finance. (2024). Peran platform digital terhadap pengembangan UMKM di Indonesia: Dorong omzet naik dan ciptakan lapangan kerja baru [The role of digital platforms in developing MSMEs in Indonesia: Boosting turnover and creating new jobs]. Institute for Development of Economics & Finance. https://indef.or.id/wp-content/uploads/2024/01/Laporan-Final-Peran-Platform-Digital-Terhadap-Pengembangan-UMKM-di-Indonesia-INDEF.pdf
Istiasih, H., Irmayanti, E., Afandi, T. Y., & Surindra, B. (2022). Application of the TPB model in analysising the consumption behavior intentions of organic halal food. International Journal of Humanities Education and Social Sciences (IJHESS), 2(3), 921–935. https://doi.org/10.55227/ijhess.v2i3.318
Kiliç, G. (2023). The emergence of Islamic fintech and its applications. International Journal of Islamic Economics and Finance Studies, 9(2), 212–236. https://doi.org/10.54427/ijisef.1328087
Kumar Kakar, A. (2017). How do perceived enjoyment and perceived usefulness of a software product interact over time to impact technology acceptance? Interacting with Computers, 29(4), 467–480. https://doi.org/10.1093/iwc/iwx006
Kusuma, K., Sheela, P., Panigrahi, R. R., & Shaikh, Z. H. (2023). Blockchain technology and Islamic finance: A decade of growth trends. In M. Irfan, S. Kadry, M. Sharif, & H. U. Khan (Eds.), Advances in Finance, Accounting, and Economics (pp. 59–79). IGI Global. https://doi.org/10.4018/979-8-3693-1038-0.ch004
Laldin, M. A., & Furqani, H. (2019). Fintech and Islamic finance. In U. A. Oseni & S. N. Ali (Eds.), Fintech In Islamic Finance (pp. 113–119). Routledge. https://doi.org/10.4324/9781351025584-8
Lateefa, C., Naufalia, R., & Yassar, D. (2021). Usefulness factors to predict the continuance intention using mobile payment, case study: GO-Pay, OVO, Dana. Journal of Soft Computing Exploration, 2(2), 115–126. https://doi.org/10.52465/joscex.v2i2.50
Madani, H. R. (2021). Implementasi penggunaan kecerdasan buatan pada industri fintech syariah [Implementation of the use of artificial intelligence in the sharia fintech industry]. Jurnal Geuthèë: Penelitian Multidisiplin, 4(3), 128–141. https://doi.org/10.52626/jg.v4i3.121
Ma’ruf, A. (2016). Minat penggunaan produk e-money di kalangan mahasiswa Yogyakarta (Analisis faktor pengaruh berdasarkan perspektif TAM dan TPB) [Interest in using e-money products among Yogyakarta students (Analysis of influencing factors based on TAM and TPB perspectives)] [Bachelor’s thesis, Universitas Islam Negeri Sunan Kalijaga]. https://digilib.uin-suka.ac.id/id/eprint/24169/
Mathieson, K. (1991). Predicting user intentions: Comparing the technology acceptance model with the theory of planned behavior. Information Systems Research, 2(3), 173–191. https://doi.org/10.1287/isre.2.3.173
Meena, R. (2023). The impact of financial technology on financial services: A comprehensive analysis. Research Review International Journal of Multidisciplinary, 8(3), 185–192. https://doi.org/10.31305/rrijm.2023.v08.n03.022
Minz, N. K., Mushir, N., Tanwar, S., & Chaffai, M. (2023). Islamic finance and fintech: A scoping review. In M. Irfan, S. Kadry, M. Sharif, & H. U. Khan (Eds.), Advances in Finance, Accounting, and Economics (pp. 150–170). IGI Global. https://doi.org/10.4018/979-8-3693-1038-0.ch010
Mishra, S., & Kaur, R. (2023). Investigating consumer’s buying behaviour of green products through the lenses of extended theory of planned behaviour. Management of Environmental Quality: An International Journal. https://doi.org/10.1108/MEQ-11-2022-0315
Mujiatun, S., Julita, Effendi, I., Rahmayati, & Badawi, A. (2022). Sharia financial technology (fintech) management model in Indonesia. Cuadernos de Economía, 45(128), 145–156. https://cude.es/submit-a-manuscript/index.php/CUDE/article/view/297
Muryanto, Y. T. (2022). The urgency of sharia compliance regulations for Islamic Fintechs: A comparative study of Indonesia, Malaysia and the United Kingdom. Journal of Financial Crime, 30(5), 1264–1278. https://doi.org/10.1108/JFC-05-2022-0099
Ng, A., Ibrahim, M., & Mirakhor, A. (2015). On building social capital for Islamic finance. International Journal of Islamic and Middle Eastern Finance and Management, 8(1), 2–19. https://doi.org/10.1108/IMEFM-04-2014-0040
Ngo, H. M., Liu, R., Moritaka, M., & Fukuda, S. (2023). Determinants of consumer intention to purchase food with safety certifications in emerging markets: Evidence from Vietnam. Journal of Agribusiness in Developing and Emerging Economies, 13(2), 243–259. https://doi.org/10.1108/JADEE-06-2021-0138
Nguyen, D. T. M., & Nguyen, K. N. (2023). Behavioral tendency of students using Internet Banking: The integration of TAM and TPB. Global Conference on Business and Social Sciences Proceeding, 15(1), 81–81. https://doi.org/10.35609/gcbssproceeding.2023.1(81)
Oamen, T. E. (2023). Technology acceptance model (TAM) for pharmaceutical marketing executives: Validation and implications for human resource management. Jurnal Aplikasi Manajemen, 21(4), 876–891. https://doi.org/10.21776/ub.jam.2023.021.04.02
Oxford Analytica. (2022). Indonesia tightens rules as digital economy booms. Emerald Expert Briefings. https://doi.org/10.1108/OXAN-DB272535
Pan, S., & Jordan-Marsh, M. (2010). Internet use intention and adoption among Chinese older adults: From the expanded technology acceptance model perspective. Computers in Human Behavior, 26(5), 1111–1119. https://doi.org/10.1016/j.chb.2010.03.015
Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of Business Research, 59(9), 999–1007. https://doi.org/10.1016/j.jbusres.2006.06.003
Pramusinto, H., Nurkhin, A., Saputro, I. H., Kholid, A., & Septiarini, A. (2021). Determinant of the use of Go-Pay among university student; An extended the unified theory of acceptance and use of technology (UTAUT) perspective. Journal of Physics: Conference Series, 1933(1), 012052. https://doi.org/10.1088/1742-6596/1933/1/012052
Pusparini, M. D., Fatimah, A., & Andriansyah, Y. (2020). User perception of Shari’ah compliance in PayTren. In F. L. Gaol, N. Filimonova, I. Frolova, & I. Vladimirovna (Eds.), Inclusive Development of Society (pp. 256–263). CRC Press.
Qadri, H. M. ud D., & Ali, H. (2024). Islamic microfinance: Landscape, models and future prospects. Walter de Gruyter GmbH & Co KG.
Qudah, H., Malahim, S., Airout, R., Alomari, M., Hamour, A. A., & Alqudah, M. (2023). Islamic finance in the era of financial technology: A bibliometric review of future trends. International Journal of Financial Studies, 11(2), 76. https://doi.org/10.3390/ijfs11020076
Rahardja, U., Hapsari, I. D., Putra, P. O. H., & Hidayanto, A. N. (2023). Technological readiness and its impact on mobile payment usage: A case study of Go-Pay. Cogent Engineering. https://www.tandfonline.com/doi/abs/10.1080/23311916.2023.2171566
Rahayu, R. W. (2018). Pengaruh Persepsi Manfaat, Persepsi Kemudahan, Persepsi Risko, dan Inovasi Teknologi Terhadap Aplikasi Go Pay Dari PT. Gojek Indonesia [Bachelor’s thesis, Universitas Islam Indonesia]. https://dspace.uii.ac.id/handle/123456789/7930
Rahim, H. (2017). Analisis pengaruh persepsi resiko, dan kepercayaan terhadap minat transaksi penggunaan PayTren pada PT. Veritra Sentosa Internasional [Analysis of the influence of risk perception and trust on transaction interest in using PayTren at PT. Veritra Sentosa Internasional]. Jurnal EKOBISTEK Fakultas Ekonomi, 6(2), 274–285. http://garuda.kemdikbud.go.id/documents/detail/1235022
Rahim, N. @ F., Bakri, M. H., Fianto, B. A., Zainal, N., & Shami, S. A. H. A. (2022). Measurement and structural modelling on factors of Islamic Fintech adoption among millennials in Malaysia. Journal of Islamic Marketing, 14(6), 1463–1487. https://doi.org/10.1108/JIMA-09-2020-0279
Rajković, P., Aleksić, D., Janković, D., Milenković, A., & Petković, I. (2018). Checking the potential shift to perceived usefulness—The analysis of users’ response to the updated electronic health record core features. International Journal of Medical Informatics, 115, 80–91. https://doi.org/10.1016/j.ijmedinf.2018.04.011
Raut, R. K., & Kumar, S. (2024). An integrated approach of TAM and TPB with financial literacy and perceived risk for influence on online trading intention. Digital Policy, Regulation and Governance, 26(2), 135–152. https://doi.org/10.1108/DPRG-07-2023-0101
Raziah, I. (2018). Pengaruh kualitas layanan terhadap kepuasan nasabah lembaga financial technology [The influence of service quality on customer satisfaction of financial technology institutions] [Bachelor’s thesis, Universitas Muhammadiyah Yogyakarta]. https://repository.umy.ac.id/handle/123456789/23975
Saleh, I., Fahrina Mustafa, Mohamad Trio Febriyantoro, Imman Yusuf Sitinjak, & Amat Suroso. (2023). The analysis of use of PayTren payment system in increasing consumer behavioral intention. JEMSI (Jurnal Ekonomi, Manajemen, Dan Akuntansi), 9(1), 119–124. https://doi.org/10.35870/jemsi.v9i1.926
Sofyan, S., Syamsu, N., & Noval, N. (2023). Sharia fintech education for disaster-affected communities in Palu City. Journal of Community Service: In Economics, Bussiness, and Islamic Finance, 1(1), 1–8. https://doi.org/10.24239/jcsebif.v1i1.2395.1-8
Suhaimi, M. A., Mohamed Razi, M. J., Hussin, H., Muhammad, M. R., Muhammad, M., & Abdullah, K. (2013). Conceptualizing trust-based online behavior model for Muslim consumers. 2013 5th International Conference on Information and Communication Technology for the Muslim World (ICT4M), 1–6. https://doi.org/10.1109/ICT4M.2013.6518905
Supriadi, I., Maghfiroh, R. U., & Abadi, R. (2023). Accelerating Islamic economy and finance through financial technology: Challenges and potential in the digital age. International Journal of Islamic Economics, 5(2), 153–168. https://doi.org/10.32332/ijie.v5i02.7740
Tang, X., Zainal, S. R. B. M., & Li, Q. (2023). Multimedia use and its impact on the effectiveness of educators: A technology acceptance model perspective. Humanities and Social Sciences Communications, 10(1), 923. https://doi.org/10.1057/s41599-023-02458-4
Thayib, S. R., & Ajuna, H. N. A. (2022). Internalisasi Islamic business ethic pada fintech syariah [Internalization of Islamic business ethics in sharia fintech]. Finansha: Journal of Sharia Financial Management, 3(2), 76–86. https://doi.org/10.15575/fjsfm.v3i2.21066
Tongco, Ma. D. C. (2007). Purposive sampling as a tool for informant selection. Ethnobotany Research and Applications, 5, 147. https://doi.org/10.17348/era.5.0.147-158
Troise, C., O’Driscoll, A., Tani, M., & Prisco, A. (2020). Online food delivery services and behavioural intention – A test of an integrated TAM and TPB framework. British Food Journal, 123(2), 664–683. https://doi.org/10.1108/BFJ-05-2020-0418
Wang, K. (2023). The perception and behavioral intention toward MOOCs: Undergraduates in China. The International Review of Research in Open and Distributed Learning, 24(1), 22–46. https://doi.org/10.19173/irrodl.v24i1.6677
Westland, J. C. (2010). Lower bounds on sample size in structural equation modeling. Electronic Commerce Research and Applications, 9(6), 476–487. https://doi.org/10.1016/j.elerap.2010.07.003
Wolf, E. J., Harrington, K. M., Clark, S. L., & Miller, M. W. (2013). Sample size requirements for structural equation models: An evaluation of power, bias, and solution propriety. Educational and Psychological Measurement, 73(6), 913–934. https://doi.org/10.1177/0013164413495237
Yahya, A. (2021, January 18). Sharia fintech development in Indonesia. Proceedings of the 1st International Conference on Economics Engineering and Social Science, InCEESS 2020, 17-18 July, Bekasi, Indonesia. https://eudl.eu/doi/10.4108/eai.17-7-2020.2302984
Youk, S., & Park, H. S. (2023). Who is (communicatively more) responsible behind the wheel? Applying the theory of communicative responsibility to TAM in the context of using navigation technology. Human-Machine Communication, 6, 203–230. https://doi.org/10.30658/hmc.6.11
Yusuf, M. (2023). Inovasi teknologi finansial (fintech) dalam pengelolaan keuangan institusi pendidikan Islam [Financial technology (fintech) innovation in the financial management of Islamic educational institutions]. Diksi: Jurnal Pendidikan Dan Literasi, 2(2), 159–182. https://doi.org/10.62719/diksi.v2i2.41
Zaid, Z., Shinta, A., & Al Bahy, M. P. (2022). Exploring the role of theory of planned behavior on COVID-19 vaccination intention. Journal of Educational, Health and Community Psychology, 11(3), 608–624. https://doi.org/10.12928/jehcp.v11i3.23829