Exploring Factors Influencing Behavioral Intention to Use E-Wallets Through Short-Form Video Shopping Platforms Among Generation Z
DOI:
https://doi.org/10.62843/jssr.v5i1.491Keywords:
E-wallet Adoption, Short-form Video Shopping, Technology Acceptance, User Trust, Digital Payments, SEM, FinTech, Perceived Security, TAM-UTAUT-ISS IntegrationAbstract
This study investigates the behavioral intention to adopt e-wallets via short-form video shopping platforms (SFVSPs), with a particular focus on Generation Z and Millennials in Pakistan. With the surge in mobile commerce and livestream shopping, the integration of digital payment systems like e-wallets is reshaping consumer experiences. This research aims to bridge the gap between traditional technology acceptance models and modern digital behaviors by integrating the Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTAUT), and Information System Success (ISS) models. Data was analyzed using Structural Equation Modeling (SEM) and Partial Least Squares (PLS-SEM) to test relationships among constructs like perceived usefulness, trust, security, satisfaction, and social influence. Findings reveal that perceived security, usefulness, and satisfaction are the most significant predictors of e-wallet adoption. Conversely, social influence and user engagement had a weaker impact. The study also found that trust is more likely formed through personal experience rather than peer validation. This research contributes to digital payment literature by emphasizing the contextual needs of Pakistani consumers, especially their emphasis on trust and security over engagement. Practically, it offers insights for fintech companies and digital marketers to prioritize security and ease-of-use features. Future research can explore psychological and demographic moderators across different regions.
References
Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-T
Alalwan, A. A. (2022). Mobile banking adoption in the age of digital transformation: An empirical study of emerging economies. Journal of Financial Services Marketing, 27(2), 91–104. https://doi.org/10.1057/s41264-022-00101-7
Belmonte, Z. J. A., Prasetyo, Y. T., Cahigas, M. M. L., Nadlifatin, R., & Gumasing, M. J. J. (2024). Factors influencing the intention to use e-wallet among generation Z and millennials in the Philippines: An extended technology acceptance model (TAM) approach. Acta Psychologica, 250(104526), 104526. https://doi.org/10.1016/j.actpsy.2024.104526
Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 351-370. https://doi.org/10.2307/3250921
Byrne, B. M. (2016). Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming (3rd ed.). Routledge.
Chen, X., Zhang, Y., Li, M., & Wang, H. (2023). Investigating consumer purchase intentions in mobile commerce: A behavioral perspective. Journal of Retailing and Consumer Services, 71,
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE Publications.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. https://doi.org/10.2307/249008
DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95. https://doi.org/10.1287/isre.3.1.60
Doney, P. M., & Cannon, J. P. (1997). An examination of the nature of trust in buyer–seller relationships. Journal of marketing, 61(2), 35-51. https://doi.org/10.1177/002224299706100203
Dwivedi, Y. K., Rana, N. P., Jeyaraj, A., Clement, M., & Williams, M. D. (2019). Re-examining the unified theory of acceptance and use of technology (UTAUT): Towards a revised theoretical model. Information Systems Frontiers: A Journal of Research and Innovation, 21(3), 719–734. https://doi.org/10.1007/s10796-017-9774-y
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. JMR, Journal of Marketing Research, 18(1), 39. https://doi.org/10.2307/3151312
Gefen, Karahanna, & Straub. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly: Management Information Systems, 27(1), 51. https://doi.org/10.2307/30036519
Gupta, S., & Kim, H. W. (2007). The moderating effect of transaction experience on the decision calculus in on-line repurchase. International journal of electronic commerce, 12(1), 127-158. https://doi.org/10.2753/JEC1086-4415120105
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2019). Multivariate data analysis (8th ed.). Cengage Learning.
Hassan, L. M., Shiu, E. M., & Parry, S. (2021). Exploring the role of consumer confidence in e-wallet adoption: An extension of the technology acceptance model. Journal of Retailing and Consumer Services, 58
Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
Kim, N., & Lee, K. (2023). Environmental consciousness, purchase intention, and actual purchase behavior of eco-friendly products: The moderating impact of situational context. International Journal of Environmental Research and Public Health, 20(7), 5312. https://doi.org/10.3390/ijerph20075312
Kline, R. B. (2015). Principles and Practice of Structural Equation Modeling (4th ed.). Guilford Press.
Malaquias, F. F., & Hwang, Y. (2016). Trust in mobile banking under conditions of information asymmetry: Empirical evidence from Brazil. Information Development, 32(5), 1600-1612. https://doi.org/10.1177/0266666915616164
Mehrabian, A., & Russell, J. A. (1974). An approach to environmental psychology. The MIT Press.
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric Theory (3rd ed.). McGraw-Hill.
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
Park, H., & Jiang, Y. (2021). A human touch and content matter for consumer engagement on social media. Corporate Communications: An International Journal, 26(3), 501-520. https://doi.org/10.1108/CCIJ-01-2020-0033
Russell, J. A. (1974). [See Mehrabian & Russell, 1974].
Thakur, R. (2016). Understanding Customer Engagement and Loyalty: A Case of Mobile Devices for Shopping. Journal of Retailing and Consumer Services, 32, 151-163.
https://doi.org/10.1016/j.jretconser.2016.06.004
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. https://doi.org/10.2307/30036540
Venkatesh, V., Thong, J. Y. L., & Xu, X. (2020). Unified theory of acceptance and use of technology: A synthesis and the road ahead. Journal of the Association for Information Systems, 17(5), 328–376. https://doi.org/10.17705/1jais.00428
Wang, W., & Wu, S. (2024). Analyzing User Psychology and Behavior in Short-Form Video Shopping Platforms: An Integrated TAM and ISS Model Approach. SAGE Open, 14(4), 21582440241287076. https://doi.org/10.1177/21582440241287076
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: A means-end model and synthesis of evidence. Journal of Marketing, 52(3), 2–22. https://doi.org/10.1177/002224298805200302
Zhang, Y., & Lin, X. (2023). Understanding consumers’ behavioral intention toward livestream shopping: An integrated TAM and trust perspective. Journal of Consumer Behaviour, 22(1), 45–59.
Zhao, L., Wang, H., & Chen, Y. (2023). Examining the influence of perceived value, trust, and security on e-wallet adoption in livestream shopping platforms. Journal of Retail and Consumer Services, 76, 102947. https://doi.org/10.1016/j.jretconser.2023.102947
Zhou, Q., Liu, X., & Zhang, M. (2023). Artificial intelligence-powered recommendations and user behavior in mobile commerce: Evidence from TikTok and Taobao Live. Electronic Commerce Research and Applications, 56, 101211. https://doi.org/10.1016/j.elerap.2023.101211
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