Determinants of Fintech Usage among University Students: The Roles of Personal Financial Management, Consumptive Behavior, and Investment Interest
Keywords:
Fintech usage, personal finance, consumptive behavior, investment interes, studentsAbstract
Purpose—This study examines the influence of personal financial management, consumptive behavior, and investment interest on fintech usage among university students. The study aims to provide empirical evidence on the behavioral and financial factors that shape students’ adoption and use of digital financial services.
Design/methodology/approach—This study adopts a quantitative explanatory design. Primary data were collected through a structured questionnaire distributed to 100 active university students who had experience using fintech services. The data were analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS to evaluate the measurement model, structural model, and hypotheses.
Findings—The results show that personal financial management has a positive but insignificant effect on fintech usage. In contrast, consumptive behavior and investment interest have positive and significant effects on fintech usage. The model explains 25.9% of the variance in fintech usage, indicating that students’ fintech usage is driven more by consumption-related behavior and investment motivation than by personal financial management capability.
Originality/value—This study contributes to the digital financial behavior literature by integrating personal financial management, consumptive behavior, and investment interest into a single fintech usage model.
Implications—Universities, fintech providers, and policymakers should strengthen digital financial literacy, spending control, investment education, and risk awareness among students.
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References
Ahn, S. Y., & Nam, Y. (2022). Does mobile payment use lead to overspending? The moderating role of financial knowledge. Computers in Human Behavior, 134. https://doi.org/10.1016/j.chb.2022.107319
Ajzen, I. (1991). The Theory of Planned Behavior : Organizational Behavior and Human Decision Processes. University of Massachusetts at Amherst, 50.
Bajunaied, K., Hussin, N., & Kamarudin, S. (2023). Behavioral intention to adopt FinTech services: An extension of unified theory of acceptance and use of technology. Journal of Open Innovation: Technology, Market, and Complexity, 9(1), 100010. https://doi.org/https://doi.org/10.1016/j.joitmc.2023.100010
Başar, D., Keskin, H., Esen, E., Merter, A. K., & Balcıoğlu, Y. S. (2025). Digital financial literacy and savings behavior: A comprehensive cross-country analysis of FinTech adoption patterns and economic outcomes across 12 nations. Borsa Istanbul Review, 25. https://doi.org/10.1016/j.bir.2025.09.004
Che Hassan, N., Abdul-Rahman, A., Mohd Amin, S. I., & Ab Hamid, S. N. (2023). Investment Intention and Decision Making: A Systematic Literature Review and Future Research Agenda. In Sustainability (Switzerland) (Vol. 15, Number 5). https://doi.org/10.3390/su15053949
Chen, L., Bai, J., Xu, S., Cheng, Z., & Chen, J. (2024). Financial Literacy, Fintech, and Risky Financial Investment in Urban Households—An Analysis Based on CHFS Data. Mathematics, 12(21). https://doi.org/10.3390/math12213393
Chhillar, N., Sharma, K., & Arora, S. (2025). Exploring the role of digital financial literacy and personal financial behavior in shaping financial stress and well-being in the digital age. Acta Psychologica, 259. https://doi.org/10.1016/j.actpsy.2025.105308
Choung, Y., Chatterjee, S., & Pak, T.-Y. (2023). Digital financial literacy and financial well-being. Finance Research Letters, 58, 104438. https://doi.org/https://doi.org/10.1016/j.frl.2023.104438
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly: Management Information Systems, 13(3). https://doi.org/10.2307/249008
Elshaer, I. A., & Sobaih, A. E. E. (2023). Antecedents of Risky Financial Investment Intention among Higher Education Students: A Mediating Moderating Model Using Structural Equation Modeling. Mathematics, 11(2). https://doi.org/10.3390/math11020353
Eshpulatov, D., Berdiev, G., & Artemenkov, A. (2025). Modeling the Determinants of Stock Market Investment Intention and Behavior Among Studying Adults: Evidence from University Students Using PLS-SEM. International Journal of Financial Studies, 13(3). https://doi.org/10.3390/ijfs13030138
Hair, J., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3). https://doi.org/10.1016/j.rmal.2022.100027
Haque, A., Rupa, R. A., Faisal-E-Alam, M., Akter, M. S., & Sultana, N. (2026). From Click to Regret: Investigating Impulsive Buying and Post-Purchase Cognitive Dissonance Through the S-O-R Lens. Journal of Theoretical and Applied Electronic Commerce Research , 21(3). https://doi.org/10.3390/jtaer21030090
Hong, X., Pan, L., Gong, Y., & Chen, Q. (2023). Robo-advisors and investment intention: A perspective of value-based adoption. Information and Management, 60(6). https://doi.org/10.1016/j.im.2023.103832
Idrees, M. A., & Ullah, S. (2024). Comparative analysis of FinTech adoption among Islamic and conventional banking users with moderating effect of education level: A UTAUT2 perspective. Journal of Open Innovation: Technology, Market, and Complexity, 10(3). https://doi.org/10.1016/j.joitmc.2024.100343
Jung, J., Yi, S., Woon, F. C., Chin, Y. S., Ismail, I. H., Batterham, M., Abdul Latiff, A. H., Gan, W. Y., Appannah, G., Mohammed Hussien, S. H., Edi, M., Tan, M. L., & Chan, Y. M. (2016). The case for moderate-risk buyers: An empirical investigation Vitamin D deficiency during pregnancy and its associated factors among third trimester Malaysian pregnant women. Psychiatry Res, 240(6).
Kelly, A. E., & Palaniappan, S. (2023). Using a technology acceptance model to determine factors influencing continued usage of mobile money service transactions in Ghana. Journal of Innovation and Entrepreneurship, 12(1). https://doi.org/10.1186/s13731-023-00301-3
Li, X., Lowry, P. B., & Lai, F. (2024). The influence of ERP-vendor contract compliance and transaction-specific investment on vendee trust: A signaling theory perspective. Information and Management, 61(2). https://doi.org/10.1016/j.im.2024.103923
Lupșa-Tătaru, D. A., Nichifor, E., Dovleac, L., Chițu, I. B., Todor, R. D., & Brătucu, G. (2023). Buy Now Pay Later—A Fad or a Reality? A Perspective on Electronic Commerce. Economies, 11(8). https://doi.org/10.3390/economies11080218
Nusir, O. M., Wel, C. A. C., Hamid, S. N. A., Al-Zoubi, L., & Al-Adwan, A. S. (2026). The Psychology of BNPL: A Systematic Review of Impulsive Buying and Post-Purchase Regret (2018–2025). Journal of Theoretical and Applied Electronic Commerce Research, 21(2), 43. https://doi.org/10.3390/jtaer21020043
Pandey, L. K., Bhattacharjee, J., Singh, R., Baker, H. K., & Sharma, R. K. (2025). Fintech Adoption and Dispositional Innovativeness in E-Gold Investment: Evidence from India. Journal of Theoretical and Applied Electronic Commerce Research , 20(2). https://doi.org/10.3390/jtaer20020105
Ravikumar, T., Suresha, B., Prakash, N., Vazirani, K., & Krishna, T. A. (2022). Digital financial literacy among adults in India: measurement and validation. Cogent Economics and Finance, 10(1). https://doi.org/10.1080/23322039.2022.2132631
Sarstedt, M., Radomir, L., Moisescu, O. I., & Ringle, C. M. (2022). Latent class analysis in PLS-SEM: A review and recommendations for future applications. Journal of Business Research, 138. https://doi.org/10.1016/j.jbusres.2021.08.051
Setiawan, A., Rofingatun, S., & Patma, K. (2020). Pengaruh Persepsi Kemudahaan Penggunaan, Efektivitas, Risiko Terhadap Minat Dan Penggunaan Financial Technologi (Fintech) Dengan Minat Sebagai Variabel Mediasi. JURNAL AKUNTANSI DAN KEUANGAN DAERAH, 15(2). https://doi.org/10.52062/jakd.v15i2.1623
Vieira, K. M., Matheis, T. K., & Lehnhart, E. dos R. (2024). Digital Financial Capability Scale. Journal of Risk and Financial Management, 17(9). https://doi.org/10.3390/jrfm17090404
Widyastuti, U., Respati, D. K., Dewi, V. I., & Soma, A. M. (2024). The nexus of digital financial inclusion, digital financial literacy and demographic factors: lesson from Indonesia. Cogent Business and Management, 11(1). https://doi.org/10.1080/23311975.2024.2322778
Zhang, Y., & Fan, L. (2024). The nexus of financial education, literacy and mobile fintech: unraveling pathways to financial well-being. International Journal of Bank Marketing, 42(7). https://doi.org/10.1108/IJBM-09-2023-0531
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