Determinants of Fintech Application Usage with Interest as a Mediating Variable among Gen-Z in the Jabodetabek Area

Authors

  • Denny Wijaya Universitas Gunadarma, Depok, Indonesia.
  • Henny Medyawati Universitas Gunadarma, Depok, Indonesia.

DOI:

https://doi.org/10.38035/dijefa.v7i2.6676

Keywords:

GoPay, Generation Z, Performance Expectancy, Trust, Behavioral Intention

Abstract

The rapid advancement of digital technology has accelerated the widespread adoption of financial technology (fintech) services, notably the GoPay digital wallet, which maintains a dominant position in the Indonesian e-wallet market. Despite its high penetration, the continuous usage of GoPay among Generation Z remains contingent upon perceived benefits and user trust, particularly concerning personal data security. This study aims to analyze the impact of performance expectancy and trust on the usage of the GoPay application among Generation Z in the Greater Jakarta (Jabodetabek) area, both directly and as mediated by behavioral intention. A quantitative research design was employed, involving the distribution of questionnaires to 400 Generation Z respondents who are familiar with GoPay but are not yet intensive users. Employing Structural Equation Modeling-Partial Least Squares (SEM-PLS) as the analytical framework, this study finds that performance expectancy, trust, and behavioral intention significantly influence GoPay application usage. Notably, performance expectancy does not transmit a significant indirect effect on usage through behavioral intention. By contrast, trust exerts a significant mediated effect on usage, with behavioral intention functioning as an intervening variable in this relationship.

References

Agustin, R., Anjani, T. M., Khairunnisa, J., & Haya, A. F. (2025). Perception Ease of Use and Fintech Adoption : The Mediating Role of Trust and the Moderating Role of Security. Growth: Journal Management and Business, 03(02), 86–96. https://doi.org/10.59422/growth.v3i02.1000

Alamoudi, H., Glavee-Geo, R., Alharthi, M., Doszhan, R., & Suyunchaliyeva, M. M. (2024). Exploring trust and outcome expectancy in fintech digital payments: insights from the stimulus-organism-response model. International Journal of Bank Marketing, 43(4), 897–919. https://doi.org/10.1108/IJBM-04-2024-0252

Appiah, T., & Agblewornu, V. V. (2025). The interplay of perceived benefit, perceived risk, and trust in Fintech adoption: Insights from Sub-Saharan Africa. Heliyon, 11(2), e41992. https://doi.org/10.1016/j.heliyon.2025.e41992

Arief, M. D., & Usman, O. (2024). Analysis of the influence of student preferences in Jabodetabek on decisions to use mobile banking payment systems: Performance Expentancy, Effort Expentancy, Social Influence, Facilitating Conditions, Intention Use. International Student Conference on Business, Education, Economics, Accounting, and Management (ISC-BEAM), 3(1), 2073–2084. https://doi.org/10.21009/ISC-BEAM.013.154

Arikunto, S. (2020). Prosedur penelitian suatu pendekatan praktik. Jakarta : Rineka Cipta.

Eseimieghan, T., & Onuorah, A. C.-C. (2025). Financing Mix Decision and Firm Performance Optimality: Evidence from the Nigerian Oil and Gas Industry. Journal of Accounting, Finance, and FinTech Advancements, 1(2), 70–78.

Ghozali, I. (2021). Partial least squares konsep, teknik dan aplikasi menggunakan program SmartPLS 3.0 untuk penelitian empiris (Ed. 3). Badan Penerbit Universitas Diponegoro.

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 Edition). Sage Publications. https://doi.org/10.1080/1743727x.2015.1005806

Holipah, S., Mulyasaputra, R. S., Fadlilah, M. B., & Mahmudi, S. R. (2024). Pengaruh Performance Expectancy, Effort Expectancy, Dan Social Influence Terhadap Behavioral Intention Pada Aplikasi Ajaib. JEBI: Jurnal Ekonomi Dan Bisnis, 2(12), 2611–2623.

Iba, Z., & Wardhana, A. (2023). Metode Penelitian. Jakarta: Eureka Media Aksara.

Kurniasari, F., Utomo, P., & Jimmy, S. Y. (2023). Determinant Factors of Fintech Adoption in Organization using UTAUT Theory Approach. Journal of Business and Management Review, 4(2), 92–103. https://doi.org/10.47153/jbmr42.6032023

Kurniawan, D., & Putra, C. I. W. (2023). The effect of financial literacy, performance expectancy, effort expectancy, and money saving to use decision financial technology in the millennial generation in North Bekasi. East Asian Journal of Multidisciplinary Research (EAJMR), 2(1), 63–72. https://doi.org/10.47153/jbmr42.6032023

Latan, H., & Ghozali, I. (2020). Partial least squares: konsep, metode dan aplikasi menggunakan program warppls 5.0. Semarang: Badan Penerbit Universitas Diponegoro.

Maharani, A. P., Nuringwahyu, S., & Chanafi, A. (2024). The Influence of Financial Technology and Service Features on Consumer Preferences for Choosing a Digital Wallet in Financial Transactions: (Study on OVO Application Users of UNISMA FIA Students Class of 2020). Journal of International Accounting, Taxation and Information Systems, 1(2), 67–74. https://doi.org/10.70865/jiatis.v1i2.54

Maidiana. (2021). Penelitian Survey. ALACRITY : Journal Of Education, 1(2), 20–29. https://doi.org/10.52121/alacrity.v1i2.23

Rahardjo, B., Mukhammad, B., Akbar, B., & Novitaningtyas, I. (2020). The analysis of intention and use of financial technology (The Case of E-money). Journal of Accounting and Strategic Finance, 3(1), 88–102. https://doi.org/10.33005/jasf.v3i1.70

Rania, D. (2025). Survei dompet digital paling favorit di Indonesia.

Refsi, F., & Soma, A. M. (2024). The Influence Of Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions, And Financial Literacy On Use Behavior Of Buy Now Pay Later Services With Behavior Intention As A Mediating Variable Among Generation Z In The Bandung R. International Journal of Educational Research & Social Sciences, 2(1), 281–286. https://doi.org/10.51601/ijersc.v6i2.981

Saputri, M. E., Saraswati, risha G., & Oktafani, F. (2022). Pengaruh Performance Expectation, Effort Expectancy, Social Influence, Perceived Risk, Perceived Cost Pada Minat Menggunakan Mobile Payment di Indonesia. Jurnal Sosioteknologi, 21(1), 9–21. https://doi.org/10.5614/sostek.itbj.2022.21.1.2

Tariq, M., Maryam, S. Z., & Shaheen, W. A. (2024). Cognitive factors and actual usage of Fintech innovation : Exploring the UTAUT framework for digital banking. Heliyon, 10(15), e35582. https://doi.org/10.1016/j.heliyon.2024.e35582

Zhao, H., Khaliq, N., Li, C., & Ur, F. (2024). Exploring trust determinants influencing the intention to use fintech via SEM approach : Evidence from Pakistan. Heliyon, 10, e29716. https://doi.org/10.1016/j.heliyon.2024.e29716

Published

2026-05-12

How to Cite

Wijaya, D., & Medyawati, H. (2026). Determinants of Fintech Application Usage with Interest as a Mediating Variable among Gen-Z in the Jabodetabek Area. Dinasti International Journal of Economics, Finance & Accounting, 7(2), 933–943. https://doi.org/10.38035/dijefa.v7i2.6676

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