Exploring Key Factors Influencing Digital Payment Continuance: Digital Financial Literacy, Security Behavior and UTAUT
Abstract
The rapid growth of digital payment adoption has been accompanied by increasing concerns over transaction security risks, which can lead to both financial and non-financial losses for users. Addressing this issue, the present study investigates the determinants of continuance intention in digital payment usage, emphasizing the roles of digital financial literacy (DFL), online security behaviour (OSB), and the constructs from the Unified Theory of Acceptance and Use of Technology (UTAUT). Using a quantitative research design, data were collected from 449 digital payment users using snowball sampling. The data were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). The results indicate that online security behaviour, performance expectancy, social influence, and facilitating conditions have a significant positive effect on users’ intention to continue using digital payment services. These findings highlight the importance of user capabilities and perceptions in ensuring the sustainable adoption of digital financial services.
References
Abbasi, G. A., Sandran, T., Ganesan, Y., & Iranmanesh, M. (2022). Go cashless! Determinants of continuance intention to use E-wallet apps: A hybrid approach using PLS-SEM and fsQCA. Technology in Society, 68. https://doi.org/10.1016/j.techsoc.2022.101937
Al Doghan, M. A., & Mirzaliev, S. (2024). Cybersecurity awareness and digital banking adoption: exploring the moderating impact of digital literacy. International Journal of Economics and Finance Studies, 16(3), 34–58. https://doi.org/10.34109/ijefs.202416303
Arianita, A., Alfansi, L., Anggarawati, S., Ps, M., Manajemen, M., & Bengkulu, U. (2023). Analysis Factor Affecting The Use of Digital Payment with The Extended UTAUT Model. The Manager Review, 5(1).
Bailey, A. A., Bonifield, C. M., Arias, A., & Villegas, J. (2022). Mobile payment adoption in Latin America. Journal of Services Marketing, 36(8), 1058–1075. https://doi.org/10.1108/JSM-04-2021-0130
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 351-370.
Bernika Ifada, A., & Abidin, Z. (2022). Factor Analysis of Continuance Intention to Use QR Code Mobile Payment Services: An Extended Expectation-Confirmation Model (ECM). Journal of Advances in Information Systems and Technology, 4(2). https://journal.unnes.ac.id/sju/index.php/jaist
Bognár, L., & Bottyán, L. (2024). Evaluating Online Security Behavior: Development and Validation of a Personal Cybersecurity Awareness Scale for University Students. Education Sciences, 14(6). https://doi.org/10.3390/educsci14060588
Bruno, P., Jeenah, U., Gandhi, A., & Gancho, I. (2024). The 2024 McKinsey Global Payments Report Global payments in 2024: Simpler interfaces, complex reality.
Chaisarani, F., Setiawan, B., & Veronica, M. (2025). Pengaruh Digital Financial Literacy, Financial Stress, Green Self-Identity Dan Facilitating Conditions Terhadap Behavioral Intention. Jurnal Manajemen Dan Akuntansi, 20(1), 215–230. https://doi.org/10.32534/jv.v20i1.7075
Chauhan, Y., & Sharma, P. (2024). A Systematic Literature Review of Digital Payments. Metamorphosis, 23(2), 173–187. https://doi.org/10.1177/09726225241257730
Dimitrova, I. (2024). Barrier-breakers’ influence on full-adoption of digital payment methods. Internet Research, 34(7), 139–159. https://doi.org/10.1108/INTR-11-2022-0886
e-Conomy SEA. (2020). E-Conomy SEA 2020.
e-Conomy SEA 2024 Country Overview Indonesia. (2024).
GSMA. (2025). The Mobile Economy 2025. www.gsmaintelligence.com
Hair, J. F., Hult, M., Ringle, C. M., & Sarstedt, M. (2022). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE. https://www.researchgate.net/publication/354331182
Hidayani. (2023). The Influence of Digital Financial Literacy, Perception of Benefits, and Interest on Students’s habit in Carrying Out Digital Payment Transaction. Majority Science Journal, 1. https://doi.org/https://doi.org/10.61942/msj.v1i4.124
Hinton, P., Brownlow, C., McMurray, I., & Cozens, B. (2004). SPSS Explained. Routledge Taylor & Francis Group.
Hutabarat, Z., Suryawan, I. N., Andrew, R., & Akwila, F. P. (2021). Effect Of Performance Expectancy And Social Influence On Continuance Intention In OVO. Jurnal Manajemen, 25(1), 125–140. https://doi.org/10.24912/jm.v25i1.707
Indrawati, & Putri, D. A. (2018). Analyzing factors influencing continuance intention of E-payment adoption using modified UTAUT 2 Model: (A case study of Go-Pay from Indonesia). 2018 6th International Conference on Information and Communication Technology, ICoICT 2018, 167–173. https://doi.org/10.1109/ICoICT.2018.8528748
Istijanto, & Handoko, I. (2022). Customers’ continuance usage of mobile payment during the COVID-19 pandemic. Spanish Journal of Marketing - ESIC, 26(3), 345–362. https://doi.org/10.1108/SJME-02-2022-0016
Jannah, L. (2022). Solidaritas Etnis Minangkabau di Kota Metro. Universitas Islam Negeri Syarif Hidayatullah.
Kumari, N., & Biswas, A. (2024). Money at my Fingertips: Decoding the Role of Referent Network Size and Financial Knowledge in Reinforcing Continuance Intention of m-Payment Services. Journal of Organizational Computing and Electronic Commerce, 34, 267–298. https://doi.org/10.1080/10919392.2024.2362970
Laksamana, P., Suharyanto, S., & Cahaya, Y. F. (2022). Determining factors of continuance intention in mobile payment: fintech industry perspective. Asia Pacific Journal of Marketing and Logistics, 35(7), 1699–1718. https://doi.org/10.1108/APJML-11-2021-0851
Lakshmanan, K., & Shanmugavel, N. (2025). Investigation on the factors influencing the continuation intention to use digital wallet in the rural parts of India using extended UTAUT2. Asian Journal of Economics and Banking, 9(1), 22–47. https://doi.org/10.1108/ajeb-08-2024-0100
Lee, J. M., Lee, B., & Rha, J. Y. (2019). Determinants of mobile payment usage and the moderating effect of gender: Extending the UTAUT model with privacy risk. International Journal of Electronic Commerce Studies, 10(1), 43–64. https://doi.org/10.7903/ijecs.1644
Limna, P., Siripipattanakul, S., & Kraiwanit, T. (2017). The Relationship between Cyber Security Knowledge, Awareness, and Behavioural Choice Protection among Mobile Banking User in Thailand. International Journal of Computing Sciences Research, 7, 1133–1151. https://doi.org/10.25147/ijcsr.2017.001.1.123
Lu, J., Wei, J., Yu, C. S., & Liu, C. (2017). How do post-usage factors and espoused cultural values impact mobile payment continuation? Behaviour and Information Technology, 36(2), 140–164. https://doi.org/10.1080/0144929X.2016.1208773
Ly, H. T. N., Khuong, N. V., & Son, T. H. (2022). Determinants Affect Mobile Wallet Continuous Usage in COVID 19 Pandemic: Evidence from Vietnam. Cogent Business and Management, 9(1). https://doi.org/10.1080/23311975.2022.2041792
Lyons, A. C., & Kass-Hanna, J. (2021). A methodological overview to defining and measuring “digital” financial literacy. Financial Planning Review, 4(2). https://doi.org/10.1002/cfp2.1113
Manrai, R., Yadav, P. D., & Goel, U. (2024). Factors affecting adoption of digital payments by urban women: understanding the moderating role of perceived financial risk. Technology Analysis and Strategic Management, 36(10), 2385–2397. https://doi.org/10.1080/09537325.2022.2139237
Morgan, P. J., Huang, B., & Trinh, L. Q. (2019). The Need to Promote Digital Financial Literacy for the Digital Age. https://whatis.techtarget.com/definition/gig-economy
Nguyen, T. T., Tran, T. N. H., Do, T. H. M., Dinh, T. K. L., Nguyen, T. U. N., & Dang, T. M. K. (2024). Digital literacy, online security behaviors and E-payment intention. Journal of Open Innovation: Technology, Market, and Complexity, 10(2). https://doi.org/10.1016/j.joitmc.2024.100292
Nurdin, T. A., Alexandri, M. B., Sumadinata, W., & Arifianti, R. (2023). Assessing of The Continuance Intentions to Use Fintech Payments, an Integrating Expectation Confirmation Model. Journal of Applied Data Sciences, 4(3), 130–146.
OECD. (2021). G20/OECD Report on Lessons Learnt and Effective Approaches to Protect Consumers and Support Financial Inclusion in the Context of COVID-19. www.oecd.org/finance/lessons-learnt-
OECD. (2022). OECD/INFE survey instrument to measure digital financial literacy.
Putri, A. F., Handayani, P. W., & Shihab, M. R. (2020). Environment factors affecting individual’s continuance usage of mobile payment technology in Indonesia. Cogent Engineering, 7(1). https://doi.org/10.1080/23311916.2020.1846832
Santosa, A. D., Taufik, N., Prabowo, F. H. E., & Rahmawati, M. (2021). Continuance intention of baby boomer and X generation as new users of digital payment during COVID-19 pandemic using UTAUT2. Journal of Financial Services Marketing, 26(4), 259–273. https://doi.org/10.1057/s41264-021-00104-1
Saxena, P. (2024). Navigating The Digital Frontier: Role Of Digital Financial Literacy In Shaping The E-Payment Platform’s Dynamics. www.ijcrt.org
Sekaran, U., & Bougie, R. (2016). An easy way to help students learn, collaborate, and grow. www.wileypluslearningspace.com
Sindermann, C., Schmitt, H. S., Kargl, F., Herbert, C., & Montag, C. (2021). Online Privacy Literacy and Online Privacy Behavior–The Role of Crystallized Intelligence and Personality. International Journal of Human-Computer Interaction, 37(15), 1455–1466. https://doi.org/10.1080/10447318.2021.1894799
Siswanti, T. (2023). Pengaruh Literasi Keuangan Digital dan Sosial Ekonomu terhadap Pemanfaatan Digital Payment dengaan Budaya sebagai Variabel Moderating. Jurnal Bisnis dan Akuntansi Unsurya, 8.
Sleiman, K. A. A., Jin, W., Juanli, L., Lei, H. Z., Cheng, J., Ouyang, Y., & Rong, W. (2022). The Factors of Continuance Intention to Use Mobile Payments in Sudan. SAGE Open, 12(3). https://doi.org/10.1177/21582440221114333
The World Bank. (2022). Innovation in Payments: Opportunities and Challenges for EMDEs.
Venkatesh, V., Speier, C., & Moms, M. G. (2002). User Acceptance Enablers in Individual Decision Making About Technology: Toward an Integrated Model (Vol. 33).
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
Venkatesh, V., Walton, S. M., & Thong, J. Y. L. (2012). Quarterly Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology1. http://www.jstor.org/stable/41410412
World Bank Group. (2021a). Risks in Fast Payment Systems and Implications for National Payments System Oversight. www.worldbank.org
World Bank Group. (2021b). The Global Findex Database 2021.
World Bank Group. (2023). Focus Note: Fraud Risks in Fast Payments. www.worldbank.org
Young, A. L., & Haase, A. Q. (2013). Privacy Protection Strategies on Facebook: The Internet privacy paradox revisited. Information Communication and Society, 16(4), 479–500. https://doi.org/10.1080/1369118X.2013.777757
Zhang, J., & Mao, E. (2020). Cash, credit, or phone? An empirical study on the adoption of mobile payments in the United States. Psychology and Marketing, 37(1), 87–98. https://doi.org/10.1002/mar.21282
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