Using the unified theory of acceptance and use of technology (UTAUT), this study investigated the effect of perceived usefulness, perceived ease of use, social influence, facilitating condition, lifestyle compatibility, and perceived trust on both the intention to use and adoption of an e-wallet among adults. This quantitative study employed a cross-sectional research technique to collect data from 501 respondents via Google Form. The acquired data was assessed using partial least squares structural equation modelling (PLS-SEM). Therefore, perceived usefulness, perceived simplicity of use, social influence, lifestyle compatibility, and perceived trust all had a strong positive impact on both intentions to use and adoption of an e-wallet. This study demonstrated that the intention to use an e-wallet mediated the links between predictors and e-wallet adoption. Respondents’ age and gender moderated the effect of lifestyle compatibility on their intention to use an e-wallet. The study’s findings can assist managers and policymakers establish successful ways that capture customers’ intention to use and experience with employing an e-wallet amid a tumultuous market. Finally, such well-crafted policies may stimulate the digital platform and web-based apps, as well as raise e-wallet acceptance rates in undeveloped countries.

1. Abdekhoda, M., Pourrasmi, A., & Ranjbaran, F. (2023). The effect of knowledge acquisition and knowledge sharing on the use of E-learning. Journal of Information Science, 016555152211424. https://doi.org/10.1177/01655515221142429
2. Afolabi, O. O., Ozturen, A., & Ilkan, M. (2021). Effects of privacy concern, risk, and information control in a smart tourism destination. Economic Research-Ekonomska Istraživanja, 34(1), 3119–3138. https://doi.org/10.1080/1331677x.2020.1867215
3. Alkhalifah, A. (2017). Understanding the Effect of Privacy Concerns on User Adoption of Identity Management Systems. Journal of Computers, 174–182. https://doi.org/10.17706/jcp.12.2.174-182
4. Alshami, M., Abdulghafor, R., & Aborujilah, A. (2022). Extending the Unified Theory of Acceptance and Use of Technology for COVID-19 Contact Tracing Application by Malaysian Users. Sustainability, 14(11), 6811. https://doi.org/10.3390/su14116811
5. Bani Atta, A. A. (2024). Adoption of fintech products through environmental regulations in Jordanian commercial banks. Journal of Financial Reporting and Accounting. https://doi.org/10.1108/jfra-09-2023-0507
6. Portal Informasi Indonesia. (2019). Bisnis Fintech Tumbuh Pesat. Available online: https://indonesia.go.id/narasi/indonesia-dalam-angka/ekonomi/bisnis-fintech-tumbuh-pesat (accessed on 12 August 2024).
7. Calvo-Porral, C., & Otero-Prada, L.-M. (2020). A profile of mobile service users in a mature market: from “uninvolved pragmatics” to “potential switchers.” Spanish Journal of Marketing - ESIC, 25(3), 425–445. https://doi.org/10.1108/sjme-03-2020-0046
8. Chua, A.-P., Cheng, L. J., Soh, Z. Y., et al. (2024). Validity and Responsiveness of EQ-5D in Asthma: A Systematic Review and Meta-analysis. The Patient - Patient-Centered Outcomes Research. https://doi.org/10.1007/s40271-024-00711-9
9. de Cosmo, L. M., Piper, L., & Di Vittorio, A. (2021). The role of attitude toward chatbots and privacy concern on the relationship between attitude toward mobile advertising and behavioral intent to use chatbots. Italian Journal of Marketing, 2021(1–2), 83–102. https://doi.org/10.1007/s43039-021-00020-1
10. Faeni, D. P. (2023). SERVQUAL measures: Indonesian government healthcare (BPJS) from a human resource perspective. Journal of Infrastructure, Policy and Development, 8(2). https://doi.org/10.24294/jipd.v8i2.2271
11. Faeni, D. P. (2024). Green practices and employees’ performance: The mediating roles of green human resources management policies and knowledge development. Journal of Infrastructure, Policy and Development, 8(8), 4924. https://doi.org/10.24294/jipd.v8i8.4924
12. Faeni, D. P., Faeni, R. P., Riyadh, H. A., & Yuliansyah, Y. (2023). The COVID-19 pandemic impact on the global tourism industry SMEs: a human capital development perspective. Review of International Business and Strategy, 33(2), 317-327. https://doi.org/10.1108/RIBS-08-2021-0116
13. Fan, X., Jiang, X., Deng, N., et al. (2021). Does role conflict influence discontinuous usage intentions? Privacy concerns, social media fatigue and self-esteem. Information Technology & People, 34(3), 1152-1174. https://doi.org/10.1108/ITP-08-2019-0416
14. Flavián, C., Guinaliu, M., & Lu, Y. (2020). Mobile payments adoption – introducing mindfulness to better understand consumer behavior. International Journal of Bank Marketing, 38(7), 1575–1599. https://doi.org/10.1108/ijbm-01-2020-0039
15. Hair, J. F., Sharma, P. N., Sarstedt, M., et al. (2024). The shortcomings of equal weights estimation and the composite equivalence index in PLS-SEM. European Journal of Marketing, 58(13), 30–55. https://doi.org/10.1108/ejm-04-2023-0307
16. Hauff, S., Richter, N. F., Sarstedt, M., et al. (2024). Importance and performance in PLS-SEM and NCA: Introducing the combined importance-performance map analysis (cIPMA). Journal of Retailing and Consumer Services, 78, 103723. https://doi.org/10.1016/j.jretconser.2024.103723
17. Hepola, J., Leppäniemi, M., & Karjaluoto, H. (2020). Is it all about consumer engagement? Explaining continuance intention for utilitarian and hedonic service consumption. Journal of Retailing and Consumer Services, 57, 102232. https://doi.org/10.1016/j.jretconser.2020.102232
18. Hsu, F.-M., & Chen, T. Y. (2007). Understanding Information Systems Usage Behavior in E-Government: The Role of Context and Perceived Value. E-Government.
19. Hwa, E. P. & Sheng, T.W. (2022). Impact of Consumer Privacy Concern and Privacy- Related Defensive Behaviour on the Adoption of Social Media Platform. Global Business and Management Research, 14(1), 14.
20. Jiao, C., Shen, X., & Wang, L. (2021). The Effect of Baby Food E-Store Image (for Ages 0–3) on Consumers’ Purchase Intention. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.796750
21. Jourdan, Z., Corley, J. Ken., Valentine, R., et al. (2023). Fintech: A content analysis of the finance and information systems literature. Electronic Markets, 33(1). https://doi.org/10.1007/s12525-023-00624-9
22. Kar, A. K. (2020). What Affects Usage Satisfaction in Mobile Payments? Modelling User Generated Content to Develop the “Digital Service Usage Satisfaction Model.” Information Systems Frontiers, 23(5), 1341–1361. https://doi.org/10.1007/s10796-020-10045-0
23. Kato, T. (2021). Functional value vs emotional value: A comparative study of the values that contribute to a preference for a corporate brand. International Journal of Information Management Data Insights, 1(2), 100024. https://doi.org/10.1016/j.jjimei.2021.100024
24. Li, Y., & Shang, H. (2020). Service quality, perceived value, and citizens’ continuous-use intention regarding e-government: Empirical evidence from China. Information & Management, 57(3), 103197. https://doi.org/10.1016/j.im.2019.103197
25. Liu, P., Li, M., Dai, D., et al. (2021). The effects of social commerce environmental characteristics on customers’ purchase intentions: The chain mediating effect of customer-to-customer interaction and customer-perceived value. Electronic Commerce Research and Applications, 48, 101073. https://doi.org/10.1016/j.elerap.2021.101073
26. Ljubi, K., & Groznik, A. (2023). Role played by social factors and privacy concerns in autonomous vehicle adoption. Transport Policy, 132, 1–15. https://doi.org/10.1016/j.tranpol.2022.12.013
27. Lv, Z., Zhao, W., Liu, Y., et al. (2024). Impact of perceived value, positive emotion, product coolness and Mianzi on new energy vehicle purchase intention. Journal of Retailing and Consumer Services, 76, 103564. https://doi.org/10.1016/j.jretconser.2023.103564
28. Malhotra, A., & Kaur, S. (2024). A quality of service‐aware routing protocol for FANETs. International Journal of Communication Systems, 37(7). Portico. https://doi.org/10.1002/dac.5723
29. Mo, L., Zhang, X., Lin, Y., et al. (2023). Consumers’ Attitudes towards Online Advertising: A Model of Personalization, Informativeness, Privacy Concern and Flow Experience. Sustainability, 15(5), 4090. https://doi.org/10.3390/su15054090
30. Mutambik, I., Lee, J., Almuqrin, A., et al. (2023). Privacy Concerns in Social Commerce: The Impact of Gender. Sustainability, 15(17), 12771. https://doi.org/10.3390/su151712771
31. Nuzula, I. F., & Wahyudi, L. (2022). Effects of brand attitude, perceived value, and social WOM on purchase intentions in luxury product marketing. Innovative Marketing, 18(3), 1-14. https://doi.org/10.21511/im.18(3).2022.01
32. Pahlevi, R. (2022). Pasar E-Wallet Indonesia Diproyeksikan Capai US$70 Miliar pada 2025. Katadata Media Network. Available online: https://databoks.katadata.co.id/datapublish/2022/03/21/pasar-e-wallet-indonesia-diproyeksikan-capai-us70-miliar-pada-2025 (accessed on 12 August 2024).
33. Peng, M.-H., & Dutta, B. (2022). Impact of Personality Traits and Information Privacy Concern on E-Learning Environment Adoption during COVID-19 Pandemic: An Empirical Investigation. Sustainability, 14(13), 8031. https://doi.org/10.3390/su14138031
34. Ryu, H.-S., & Ko, K. S. (2020). Sustainable Development of Fintech: Focused on Uncertainty and Perceived Quality Issues. Sustainability, 12(18), 7669. https://doi.org/10.3390/su12187669
35. Shahzad, A., Hassan, R., Aremu, A. Y., et al. (2020). Effects of COVID-19 in E-learning on higher education institution students: the group comparison between male and female. Quality & Quantity, 55(3), 805–826. https://doi.org/10.1007/s11135-020-01028-z
36. Smith, T. A. (2020). The role of customer personality in satisfaction, attitude-to-brand and loyalty in mobile services. Spanish Journal of Marketing - ESIC, 24(2), 155–175. https://doi.org/10.1108/sjme-06-2019-0036
37. Srivastava, S., Mohta, A., & Shunmugasundaram, V. (2023). Adoption of digital payment FinTech service by Gen Y and Gen Z users: evidence from India. Digital Policy, Regulation and Governance, 26(1), 95–117. https://doi.org/10.1108/dprg-07-2023-0110
38. Delone, W. H., & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9–30. https://doi.org/10.1080/07421222.2003.11045748
39. Veettil, P. C., Raghu, P. T., & Ashok, A. (2020). Information quality, adoption of climate-smart varieties and their economic impact in flood-risk areas. Environment and Development Economics, 26(1), 45–68. https://doi.org/10.1017/s1355770x20000212
40. Velicia-Martin, F., Cabrera-Sanchez, J.-P., Gil-Cordero, E., et al. (2021). Researching COVID-19 tracing app acceptance: incorporating theory from the technological acceptance model. PeerJ Computer Science, 7, e316. Portico. https://doi.org/10.7717/peerj-cs.316
41. Wang, M., & Choi, J. (2022). How Web Content Types Improve Consumer Engagement through Scarcity and Interactivity of Mobile Commerce? Sustainability, 14(9), 4898. https://doi.org/10.3390/su14094898
42. Xie, J., Ye, L., Huang, W., et al. (2021). Understanding FinTech Platform Adoption: Impacts of Perceived Value and Perceived Risk. Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1893–1911. https://doi.org/10.3390/jtaer16050106
43. Zang, W., Qian, Y., & Song, H. (2022). The Effect of Perceived Value on Consumers’ Repurchase Intention of Commercial Ice Stadium: The Mediating Role of Community Interactions. International Journal of Environmental Research and Public Health, 19(5), 3043. https://doi.org/10.3390/ijerph19053043
44. Zhou, S., & Liu, Y. (2023). Effects of Perceived Privacy Risk and Disclosure Benefits on the Online Privacy Protection Behaviors among Chinese Teens. Sustainability, 15(2), 1657. https://doi.org/10.3390/su15021657
45. Zhu, X., & Bao, Z. (2018). Why people use social networking sites passively. Aslib Journal of Information Management, 70(2), 158–175. https://doi.org/10.1108/ajim-12-2017-0270