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Determinants of Generative AI Adoption Among Vietnamese Students Using Extended UTAUT
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Author(s): Minh Quang Duong Viet (FPT University, Vietnam), Hieu Do Trung (FPT University, Vietnam), Huy Hoang Nguyen Tran (FPT University, Vietnam), Quoc Bao Nguyen (FPT University, Vietnam), Ngan Le Dao Thanh (FPT University, Vietnam)and Nhi Tran Ngoc Uyen (FPT University, Vietnam)
Copyright: 2026
Volume: 16
Issue: 1
Pages: 16
Source title:
International Journal of Open Source Software and Processes (IJOSSP)
Editor(s)-in-Chief: Marta Catillo (Università degli Studi del Sannio, Italy)
DOI: 10.4018/IJOSSP.412344
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Abstract
This study investigates factors influencing Vietnamese university students' adoption of Generative AI in learning, using an extended Unified Theory of Acceptance and Use of Technology model including attitude and personal innovativeness. Using data from 396 students analyzed via PLS-SEM, all hypotheses were supported: Performance expectancy and effort expectancy positively influence attitude; facilitating conditions enhance effort expectancy and behavioral intention; attitude predicts behavioral intention, which in turn drives adoption of AI in higher education; and personal innovativeness strongly predicts adoption. The model explains a significant portion of variance in adoption, highlighting mediating roles of attitude and behavioral intention. Findings emphasize that, beyond performance and effort expectancy, individual innovativeness and institutional support are key to responsible generative artificial intelligence integration in higher education, contributing theoretically to the model and practically to policy in developing countries.
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