Unveiling The Role of Habit in Digital Payment Continuance: A Systematic Literature Review and Bibliometric Analysis
Puspa Leni*
Yunia Wardi
Abror Abror
Vidyarini Dwita
The rapid expansion of digital payment systems has shifted the focus of academic research from initial adoption to user retention, making continuance intention an increasingly important area of investigation. This study delineates the intellectual structure, chronological trends, and research saturation within the global literature on the role of consumer habit in driving digital payment continuance intention through a hybrid methodology that combines a Systematic Literature Review (SLR) with bibliometric analysis using VOSviewer. A keyword-based search strategy was employed across major global academic databases to retrieve relevant peer-reviewed publications. The findings indicate that network visualization reveals a single cohesive research cluster in which habit demonstrates the strongest link strength with continuance intention. Overlay visualization illustrates the chronological evolution of the field, beginning with an emphasis on gender disparities in the mid-2022 literature, progressing toward the central habit–continuance intention relationship in late 2022, and advancing to recent studies that primarily focus on multigroup comparative analyses after 2023. Furthermore, density visualization identifies age as the least explored variable, indicating a substantial research gap. These findings suggest that future studies have strong novelty potential by examining age as a moderating variable to enhance understanding of continuance intention within the evolving digital payment ecosystem.
Ali KA, A., & Subramanian, R. (2024). Determinants of Continuance Intention to Use Mobile Payments: A Meta-Analysis. Indian Journal of Marketing, 54(6), 29–46. https://doi.org/10.17010/ijom/2024/v54/i6/173945
Amoroso, D., & Lim, R. (2017). The mediating effects of habit on continuance intention. International Journal of Information Management, 37(6), 693–702. https://doi.org/10.1016/j.ijinfomgt.2017.05.003
Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model1. MIS Quarterly, 25(3), 351–370. https://doi.org/10.2307/3250921
Dahlberg, T., Guo, J., & Ondrus, J. (2015). A critical review of mobile payment research. Electronic Commerce Research and Applications, 14(5), 265–284. https://doi.org/10.1016/j.elerap.2015.07.006
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 318–340. https://doi.org/10.2307/249008
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296.
Foroughi, B., Iranmanesh, M., & Hyun, S. S. (2019). Understanding the determinants of mobile banking continuance usage intention. Journal of Enterprise Information Management, 32(6), 1015–1033. https://doi.org/10.1108/jeim-10-2018-0237
Gupta, A., Dogra, N., & George, B. (2018). What determines tourist adoption of smartphone apps? Journal of Hospitality and Tourism Technology, 9(1), 50–64. https://doi.org/10.1108/JHTT-02-2017-0013
Humbani, M., & Wiese, M. (2019). An integrated framework for the adoption and continuance intention to use mobile payment apps. International Journal of Bank Marketing, 37(2), 646–664. https://doi.org/10.1108/ijbm-03-2018-0072
Kitchenham, B., & Charters, S. (2007). Guidelines for Performing Systematic Literature Reviews in Software Engineering. In Technical Report EBSE 2007-001. Keele University and Durham University.
Leni, P., Wardi, Y., & Rino, R. (2026). Determinants and Theoretical Perspectives of Continuance Intention in Digital Payment Services: A Systematic Literature Review. Digital Marketing, Consumer Behavior, and Economic Trends Journal, 1(4), 136–142. https://doi.org/10.70865/dmcbej.v1i4.150
Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance. MIS Quarterly, 31(4), 705–737. https://doi.org/10.2307/25148817
Lwoga, E. T., & Lwoga, N. B. (2017). User Acceptance of Mobile Payment: The Effects of User‐Centric Security, System Characteristics and Gender. The Electronic Journal of Information Systems in Developing Countries, 81(1), 1–24. https://doi.org/10.1002/j.1681-4835.2017.tb00595.x
Moher, D., Liberati, A., Tetzlaff, J., & Altman, D. G. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., … Moher, D. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. https://doi.org/10.1136/bmj.n71
Van Eck, N., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
Venkatesh, Morris, Davis, & Davis. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425. 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 Technology1. MIS Quarterly, 36(1), 157–178. https://doi.org/10.2307/41410412
Waltman, L., van Eck, N. J., & Noyons, E. C. M. (2010). A unified approach to mapping and clustering of bibliometric networks. Journal of Informetrics, 4(4), 629–635. https://doi.org/10.1016/j.joi.2010.07.002
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
Zupic, I., & Čater, T. (2014). Bibliometric Methods in Management and Organization. Organizational Research Methods, 18(3), 429–472. https://doi.org/10.1177/1094428114562629