Unlocking students' continuance intention to use generative AI for educational purposes: the dual role of habit

Manuscript code article-28305
DOI 10.1108/jts-08-2025-0038
Keywords: GenAI Habit Expectancy-confirmation model Technology readiness index Innovativeness Technology use

Abstract

PurposeGenerative artificial intelligence (GenAI) plays a crucial role in academic sustainability as it enables personalized learning experiences and fosters innovative problem-solving approaches. Based on the technology readiness index (TRI) and the expectancy–confirmation model (ECM), this study aims to propose and validate a research model that examines the nexus between individual technology-related traits, performance expectancy, confirmation of expectations, satisfaction and continuance intention to use GenAI for learning purposes. Furthermore, the mediating and moderating mechanisms of habit on the relationship between satisfaction and continuance intention are clarified.Design/methodology/approachData were collected through paper-based questionnaires administered to 419 higher education students from universities in Hanoi, using a non-probability convenience sampling technique. Partial least squares structural equation modeling was used for empirical analysis.FindingsResults show that optimism and innovativeness positively influence performance expectancy and confirmation of expectations. Insecurity negatively influences confirmation of expectations, while discomfort negatively affects performance expectancy. The study confirms the positive relationships between confirmation of expectations, performance expectancy, satisfaction and continuance intention, as proposed by the ECM. Interestingly, habit serves as both a positive mediator and a negative moderator in the relationship between satisfaction and continuance intention.Originality/valueThis research contributes to understanding higher education students' behavior toward GenAI usage for learning in the post-adoption stage. The findings confirm that individual characteristics predict ECM variables, advancing our understanding of ECM antecedents and TRI outcomes. Notably, this study reveals the dual role of habit in the satisfaction-continuance intention relationship: habit positively mediates the effect of satisfaction on continuance intention and negatively moderates the same relationship. These findings enrich the literature on the mechanisms and boundary conditions affecting the relationship between satisfaction and continuance intention.

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Authors

Sabani, Alvedi College of Business and Law, RMIT University, Melbourne, Australia Nguyen, Hoang Giang Department of Marketing, Posts and Telecommunications Institute of Technology, Hanoi City, Vietnam Le, Darren Division of Supply Chain, PepsiCo, New York, New York State, USA Farah, Mohamed College of Business and Law, RMIT University, Melbourne, Australia

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Published March 10, 2026
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DOI: 10.1108/jts-08-2025-0038

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