Predicting E-wallet Continuation Behaviour Among University Students: Testing an Integrated Theoretical Framework

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Abstract

This study examines the determinants of the continuation intention of e-wallet usage among university students with an integrated model from Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and Expectation Disconfirmation Model (EDM). Data were collected from 200 university students in Malaysia using a structured questionnaire with validated measurement scales. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to test the proposed theoretical framework and hypothesised relationships. 58.1% of variance in e-wallet usage continuation intention is explained by the integrated model. Perceived ease of use and perceived usefulness significantly influenced attitude (R²=0.515), while attitude and positive disconfirmation positively affected user satisfaction (R²=0.428). Contrary to expectations, subjective norm did not significantly impact user satisfaction. Both user satisfaction and perceived behavioural control emerged as significant factors of continuation intention toward e-wallet usage among university students. E-wallet service providers should prioritize developing user-friendly interfaces, highlighting functional benefits, and ensuring positive user experiences to foster continued usage among university students. Technical support resources should be made readily available to enhance users' perceived behavioural control. This study adds to the digital payment adoption literature by empirically validating an integrated theoretical framework that explains e-wallet usage continuation intention among university students, a critical demographic for market growth. The findings advance understanding of the relative importance of cognitive, affective, and behavioural factors in sustaining e-wallet usage.

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APA

Goh, M. L., Chow, M. M., Gan, S. W., & Tang, C. X. (2025). Predicting E-wallet Continuation Behaviour Among University Students: Testing an Integrated Theoretical Framework. Journal of Logistics, Informatics and Service Science, 12(2), 276–292. https://doi.org/10.33168/JLISS.2025.0217

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