Artificial Intelligence Tool Usage and Entrepreneurial Intentions: A Study of TVET University Students

This study examined the influence of artificial intelligence (AI) tool usage on entrepreneurial intentions among Technical and Vocational Education and Training (TVET) university students in Malaysia. Grounded in the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) and the Theory of Planned Behavior (TPB), the study aims to identify key factors influencing AI tool usage, determine their relationship with entrepreneurial intention, and identify the most significant predictor. A quantitative research approach was adopted, and data were collected through an online questionnaire from 384 students across four Malaysian TVET universities (UTHM, UniMAP, UMP, and UTEM). The study applied multiple regression analysis and correlation analysis to evaluate the relationships between variables. The findings revealed that hedonic motivation was the strongest and most significant predictor of entrepreneurial intention, followed by subjective norm and effort expectancy. In contrast, performance expectancy showed a significant negative relationship, while perceived AI competencies were not statistically significant. The regression model explained 71.6% of the variance in entrepreneurial intention, indicating strong explanatory power. The results suggested that students were more influenced by enjoyment and social factors rather than perceived usefulness or skill confidence in adopting AI for entrepreneurship. The study concluded that fostering intrinsic motivation and positive social influence is essential in promoting AI-driven entrepreneurial intentions among TVET students, with important implications for curriculum design and policy development.

Artificial intelligence tools; Entrepreneurial intention; TVET students; UTAUT2

1. Abaddi, S. (2023). GPT revolution and digital entrepreneurial intentions. Journal of Entrepreneurship in Emerging Economies. [Google Scholar] [Crossref]

2. Adam, M. (2025). Collective norms and technology based entrepreneurial behaviour. Journal of Digital Innovation and Entrepreneurship. [Google Scholar] [Crossref]

3. Ahmed, Z., Yahya, N., & Halim, A. (2024). Artificial intelligence adoption and entrepreneurial self efficacy in higher education. Education and Information Technologies. [Google Scholar] [Crossref]

4. Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179–211. [Google Scholar] [Crossref]

5. Dabbous, A., & Boustani, N. M. (2023). Digital explosion and entrepreneurship education: Impact on entrepreneurial intention for business students. Journal of Risk and Financial Management, 16(1), 27. [Google Scholar] [Crossref]

6. Duong, C. D. (2025). AI literacy and higher education students’ digital entrepreneurial intention: A moderated mediation model. Industry and Higher Education. https://doi.org/10.1177/09504222251370089 [Google Scholar] [Crossref]

7. Duong, C. D., Le, T. T., Dang, N. S., Do, N. D., & Vu, A. T. (2024). Unraveling the determinants of digital entrepreneurial intentions: Do AI performance expectations matter? Journal of Small Business and Enterprise Development. [Google Scholar] [Crossref]

8. Ha, S. T., Phan, T. T. H., Ngo, T. V. N., Duong, C. D., & Ha, N. T. (2025). Integrating artificial intelligence competencies into the theory of planned behavior. Journal of Entrepreneurship, Management and Innovation, 21(4), 30–53. [Google Scholar] [Crossref]

9. Hassan, R., Nasir, N., & Ramli, N. (2025). Technology acceptance in AI-assisted learning environments. Computers & Education: Artificial Intelligence. [Google Scholar] [Crossref]

10. Izhar, N. A., Teh, W. V. Y., & Adnan, A. (2025). Unlocking AI potential: Effort expectancy, satisfaction, and usage in research. Journal of Information Technology Education: Innovations in Practice, 24. [Google Scholar] [Crossref]

11. Kang, S., Choi, Y., & Kim, B. (2024). Motivation factors for using generative AI services. Social Sciences, 13(9), 475. [Google Scholar] [Crossref]

12. Komal Azariah, S., Usman, B., & John, R. (2023). Role of artificial intelligence, social norms, and behavioural control for entrepreneurial intention. Lahore Business Journal, 3(1), 60–74. [Google Scholar] [Crossref]

13. Koe, W.-L. (2016). Individual entrepreneurial orientation and entrepreneurial intention. Journal of Global Entrepreneurship Research, 6(1). [Google Scholar] [Crossref]

14. Li, W., Ahmad, S., & Tan, H. (2025). AI enhanced entrepreneurship education and student innovation behaviour. Journal of Education and Work. [Google Scholar] [Crossref]

15. Nuseir, M. T., Basheer, M. F., & Aljumah, A. (2020). Entrepreneurial intentions in AI based smart cities. Cogent Business & Management, 7(1). [Google Scholar] [Crossref]

16. Noerman, T., Riyadi, E., Yuliaji, E. S., & Natasha, C. A. M. (2025). Social influence and hedonic motivation in AI continuance intention. Cogent Business & Management, 12(1). [Google Scholar] [Crossref]

17. Pang, Z. W., Poon, K. Y. P., Hansaram, S. K., Aw, Y. C., & Loy, C. K. (2025). Influence of performance expectancy, effort expectancy, and social influence on AI adoption in Malaysia. International Journal of Research and Innovation in Social Science, 9(11). [Google Scholar] [Crossref]

18. Pham, V. H., Nguyen, T. K. C., Nguyen, T. B. L., Tran, T. T. T., & Nguyen, T. V. N. (2023). Subjective norms and entrepreneurial intention: A moderated-serial mediation model. Journal of Entrepreneurship, Management and Innovation, 19(1), 167–195. [Google Scholar] [Crossref]

19. Rahman, M. S., Abdullah, S., & Zainuddin, N. (2024). Barriers to entrepreneurial intention among Malaysian TVET students. Asia Pacific Journal of Innovation and Entrepreneurship. [Google Scholar] [Crossref]

20. Sadriwala, M. F., & Dadhich, M. (2024). Marketing innovation, subjective norms, and AI adoption intention. In The AI Revolution: Driving Business Innovation and Research. Springer. [Google Scholar] [Crossref]

21. Solórzano, S. S. S., Romero, J. M. P., Cueva, J. G. D., et al. (2024). Acceptance of AI and its effect on entrepreneurial intention. Journal of Innovation and Entrepreneurship, 13(59). [Google Scholar] [Crossref]

22. Upadhyay, N., Upadhyay, S., & Dwivedi, Y. K. (2021). Theorizing AI acceptance and digital entrepreneurship. International Journal of Entrepreneurial Behavior & Research. [Google Scholar] [Crossref]

23. Venkatesh, V., Thong, J. Y. L., & Xu, X. (2012). Consumer acceptance and use of information technology: Extending UTAUT. MIS Quarterly, 36(1), 157–178. [Google Scholar] [Crossref]

24. Zhang, Y., & Jiang, S. (2025). Subjective norms and AI driven green entrepreneurship intention. African Educational Research Journal, 13(1), 83–99. [Google Scholar] [Crossref]

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