Extent of FinTech Acceptability as a Payment Mechanism: A Study on University Graduates in Bangladesh
DOI:
https://doi.org/10.35649/KUBR.2026.21.1.1Keywords:
Keywords: FinTech Acceptance, Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, Customer Trust, PLS-SEMAbstract
Abstract
Purpose: The study examines the factors influencing continued acceptance of FinTech payment services among recent university graduates in Bangladesh by extending the Unified Theory of Acceptance and Use of Technology with customer trust.
Research Design: A cross-sectional survey design was employed. Data were collected from 523 university graduates in Dhaka, Chattogram, and Mymensingh through a structured questionnaire using a five-point Likert scale. PLS-SEM was used to assess the measurement and structural models.
Results: The structural analysis revealed that performance expectancy, facilitating conditions, social influence, effort expectancy, and customer trust all showed positive and significant associations with continued acceptance of FinTech payment services. Among all, performance expectancy demonstrated the strongest positive association, with facilitating conditions and customer trust holding the subsequent positions. It indicates that graduates prioritize practical benefits, enabling resources, and confidence in service providers when deciding whether to continue using payment options. Effort expectancy and social influence also contributed meaningfully, although their effects were comparatively weaker.
Originality/value: The study contributes to FinTech adoption and continuance literature by validating an extended UTAUT framework in Bangladesh and focusing on an important but underexamined population. The findings offer practical implications for policymakers, financial institutions, and FinTech providers.
References
References
Arner, D. W., Barberis, J. N., & Buckley, R. P. (2016). The evolution of FinTech: A new post-crisis paradigm? Georgetown Journal of International Law, 47(4), 1271–1319.
Ayoungman, F. Z., Chowdhury, N. H., Hussain, N., & Tanchangya, P. (2021). User attitude and intentions towards FinTech in Bangladesh. International Journal of Asian Business and Information Management, 12(3), 1–19. https://doi.org/10.4018/IJABIM.20210701.oa30
Bangladesh Bank. (2024). Payment systems report: December 2024.
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
Demirgüç-Kunt, A., Klapper, L., Singer, D., & Ansar, S. (2022). The Global Findex Database 2021: Financial inclusion, digital payments, and resilience in the age of COVID-19. World Bank. https://doi.org/10.1596/978-1-4648-1897-4
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90. https://doi.org/10.2307/30036519
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
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications.
Hassan, M. S., Islam, M. A., Sobhani, F. A., Nasir, H., Mahmud, I., & Zahra, F. T. (2022). Drivers influencing the adoption intention towards mobile FinTech services: A study on the emerging Bangladesh market. Information, 13(7), 349. https://doi.org/10.3390/info13070349
Islam, M., Tamanna, A. K., & Islam, S. (2024). The path to cashless transaction: A study of user intention and attitudes towards quick response mobile payments. Heliyon, 10(15), e35302. https://doi.org/10.1016/j.heliyon.2024.e35302
Kabir, S. B., & Alam, J. (2024). Attitude towards using mobile financial services: A study on university students in Bangladesh. Journal of Banking & Financial Services, 15(1 & 2), 153–175. https://doi.org/10.57143/JBFSV15A8
Khan, S. A. M. M. H., Mustaffa, N. A., & Habib, M. (2021). Users acceptance of mobile finance service in Bangladesh and the impact of COVID-19: Extended UTAUT2. AIUB Journal of Science and Engineering, 20(3), 87–96. https://doi.org/10.53799/ajse.v20i3.193
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. https://doi.org/10.1111/j.1365-2575.2007.00269.x
Lee, I., & Shin, Y. J. (2018). FinTech: Ecosystem, business models, investment decisions, and challenges. Business Horizons, 61(1), 35–46. https://doi.org/10.1016/j.bushor.2017.09.003
OECD. (2023). OECD/INFE 2023 international survey of adult financial literacy (OECD Business and Finance Policy Papers No. 39). OECD Publishing. https://doi.org/10.1787/56003a32-en
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, 404–414. https://doi.org/10.1016/j.chb.2016.03.030
Saha, T., Dey, T., & Hoque, M. R. (2026). Initial trust and usage intention: A study on mobile payment adoption in Bangladesh. Global Business Review, 27(2), 360–382. https://doi.org/10.1177/09721509221120805
Salam, M. A., Rayun, S. M. N., & Leong, V. S. (2023). Examining critical factors influencing Generation Z’s acceptance of mobile payment systems in Bangladesh: A UTAUT model analysis. Journal of Business & Economic Analysis, 6(3), 371–400. https://doi.org/10.1142/S273756682450004X
Schwab, K. (2017). The fourth industrial revolution. Crown Business.
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
Slade, E. L., Williams, M. D., Dwivedi, Y. K., & Piercy, N. C. (2015). Exploring consumer adoption of proximity mobile payments. Journal of Strategic Marketing, 23(3), 209–223. https://doi.org/10.1080/0965254X.2014.914075
Sultana, N., Chowdhury, R. S., & Haque, A. (2023). Gravitating towards Fintech: A study on undergraduates using extended UTAUT model. Heliyon, 9(10), e20731. https://doi.org/10.1016/j.heliyon.2023.e20731
Thakor, A. V. (2020). FinTech and banking: What do we know? Journal of Financial Intermediation, 41, 100833. https://doi.org/10.1016/j.jfi.2019.100833
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending the unified theory of acceptance and use of technology. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioural beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1), 129–142. https://doi.org/10.1016/j.chb.2011.08.019
Downloads
Published
Versions
- 2026-10-31 (Author Original 1.0)
Issue
Section
License
Copyright (c) 2026 Khulna University Business Review

This work is licensed under a Creative Commons Attribution 4.0 International License.
Articles published at the Business Review are made freely available online immediately upon publication, without subscription barriers to access. Authors who choose to participate in such initiative and pay to have their paper freely available online will be asked to sign an open access licence agreement.