Faktor Kunci Adopsi Fintech dalam Moda Pembayaran Biaya Pendidikan (Studi pada Mahasiswa Politeknik Harapan Bersama)
DOI:
https://doi.org/10.33395/owner.v7i3.1449Keywords:
Trust ; Privacy ; Fitech ; AISAbstract
The industrial revolution 4.0 has driven changes in various sectors, including economics. The Covid 19 pandemic has also driven change by way of payment. The use of Fintech by students is one form of that change that occurs in the method of transactions that were previously carried out directly to indirectly. This study examines the determinants of students paying tuition fees using fintech. This study uses PLS analysis with the SmartPLS 3 test tool. The amount of data processed in this study was 171, which method was used in selecting the sample, namely random sampling. Based on the results of statistical tests conducted, it was found that the method of selecting fintech by students in paying tuition fees is influenced by trust, perceived benefits and user privacy and perceived risk of failing to influence it. Furthermore, the trust of students to use fintech in the study of baiaa payments is influenced by users perceptions, risks and privacy.
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References
Abramova, S., & Böhme, R. (2016). Perceived benefit and risk as multidimensional determinants of bitcoin use: A quantitative exploratory study.
AL AMIN, M., SULTANA, N., SAHA, T., Islam, S. M., & KASHEM, M. A. (2021). Customer's Attitude toward Mobile Banking Usage: A Case Study in Bangladesh. The Journal of Asian Finance, Economics, and Business, 8(2), 419-426.
Arner, D. W., Barberis, J., & Buckley, R. P. (2015). The Evolution of Fintech: A New Post-Crisis Paradigm? In Geo. J. Int’l L.
Bankole, F. O., & Bankole, O. O. (2017). The effects of cultural dimension on ICT innovation: Empirical analysis of mobile phone services. Telematics and Informatics, 34(2), 490-505.
Bettinger, A. (1972). Fintech: a series of 40 times shared models used at manufacturers Hanover trust company. Interfaces, 62–63.
Benlian, A., & Hess, T. (2011). Opportunities and risks of software-as-a-service: Findings from a survey of IT executives. Decision support systems, 52(1), 232-246.
Cao, X., Yu, L., Liu, Z., Gong, M., & Adeel, L. (2018). Understanding mobile payment users’ continuance intention: a trust transfer perspective. Internet Research.
Dinev, T., Bellotto, M., Hart, P., Russo, V., Serra, I., & Colautti, C. (2006). Privacy calculus model in e-commerce - A study of Italy and the United States. European Journal of Information Systems, 15(4), 389–402. https://doi.org/10.1057/palgrave.ejis.3000590.
Dirks, K. T., & Ferrin, D. L. (2001). The role of trust in organizational settings. Organization science, 12(4), 450-467.
Handarkho, Y. D. (2020). Understanding mobile payment continuance usage in physical store through social impact theory and trust transfer. Asia Pacific Journal of Marketing and Logistics.
Hartono, J., & Abdillah, W. (2009). Konsep dan aplikasi PLS (partial least square) untuk penelitian empiris. Edisi I, BPFE, Yogyakarta.
Hossain, S. A., Bao, Y., Hasan, N., & Islam, M. F. (2020). Perception and prediction of intention to use online banking systems: An empirical study using extended TAM. International Journal of Research in Business and Social Science (2147-4478), 9(1), 112-126.
Juita, V., Firdaus, F., & Hermanto, T. N. P. (2020). Studi Prilaku Pengguna Layanan Financial Technology (Fintech) di Indonesia: Analisa Persepsi Risiko dan Manfaat. Jurnal Inovasi Pendidikan Ekonomi (JIPE), 10(2), 118-131.
Jun, J., Cho, I., & Park, H. (2018). Factors influencing continued use of mobile easy payment service: an empirical investigation. Total Quality Management & Business Excellence, 29(9-10), 1043-1057.
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision support systems, 44(2), 544-564.
Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283-311.
Latan, H. & Ghozali, I. (2012). Partial least square: Konsep, teknik dan aplikasi SmartPLS 2.0 M3. Semarang: Badan Penerbit Universitas Diponegoro.
Lee, J., & Allaway, A. (2002). Effects of personal control on adoption of self-service technology innovations. Journal of Services Marketing, 16(6), 553–572. https://doi.org/10.1108/08876040210443418.
Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130–141. https://doi.org/10.1016/j.elerap.2008.11.006.
Macht, S. (2014). Reaping value-added benefits from crowdfunders: what can we learn from relationship marketing?. Strategic Change, 23(7-8), 439-460.
Marpaung, F. K., Dewi, R. S., Grace, E., Sudirman, A., & Sugiat, M. (2021). Behavioral Stimulus for Using Bank Mestika Mobile Banking Services: UTAUT2 Model Perspective. Golden Ratio of Marketing and Applied Psychology of Business, 1(2), 61-72.
Milian, E. Z., Spinola, M. de M., dan Carvalho, M. M. d. (2019). Fintechs: A literature review and research agenda. Electronic Commerce Research and Applications, 34(January). https://doi.org/10.1016/j.elerap.2019.100833.
Mukherjee, A., & Nath, P. (2007). Role of electronic trust in online retailing: A re?examination of the commitment?trust theory. European journal of marketing.
OJK. (2021). Penyelenggara fintech lending terdaftar dan berizin di OJK. Ojk.Go.Id. https://www.ojk.go.id/id/kanal/iknb/financial-technology/Pages/Penyelenggara-Fintech-Lending-Terdaftar-dan-Berizin-di-OJK-per-28-Desember-2020.aspx
Örs, M. E. (2018). Development of a technology acceptance model for mobile payment systems (Master's thesis, Middle East Technical University).
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. https://doi.org/10.1080/10864415.2003.11044275.
Rabbani, M. R., Khan, S., & Thalassinos, E. I. (2020). Fintech, blockchain and Islamic finance: An extensive literature review. International Journal of Economics and Business Administration, 8(2), 65–86. https://doi.org/10.35808/ijeba/444.
Rani, A., & Mehta, K. (2018). A Study on Development of Dual Phase Mobile Banking Adoption Model. Journal of Technology Management for Growing Economies, 9(2), 171-197.
Stewart, H., & Jürjens, J. (2018). Data security and consumer trust in Fintech Innovation in Germany Information & Computer Security Data security and consumer trust in Fintech Innovation in Germany Article information?: Information & Computer Security, 26(1), 109–128.
Viehland, D., & Leong, R. S. Y. (2007). Acceptance and use of mobile payments. ACIS 2007 Proceedings - 18th Australasian Conference on Information Systems, 664–671.
Walker, R. H., & Johnson, L. W. (2006). Why consumers use and do not use technology-enabled services. Journal of Services Marketing, 20(2), 125–135. https://doi.org/10.1108/08876040610657057.
Wong, K. K. K. (2013). Partial least squares structural equation modeling (PLS-SEM) techniques using SmartPLS. Marketing Bulletin, 24(1), 1-32.
Zavolokina, L., Dolata, M., & Schwabe, G. (2016). The Fintech phenomenon: antecedents of financial innovation perceived by the popular press. Financial Innovation, 2(1). https://doi.org/10.1186/s40854-016-0036-7.
Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085–1091. https://doi.org/10.1016/j.dss.2012.10.034.
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Copyright (c) 2023 Mohammad Alfian, Arifany Ferida , Arvin Nova Aditya Pratama
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