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Journal of Information and Organizational Sciences, Vol. 50 No. 1, 2026.

Original scientific paper

https://doi.org/10.31341/jios.50.1.4

Factors Affecting Behavior, Perceived Impact of AI on Work Engagement, and AI Application: Indonesian Context

Shofia Amin ; Faculty of Economics and Business, Universitas Jambi, Jambi, Indonesia
Akhmad Habibi ; Faculty of Economics and Business, Universitas Jambi, Jambi, Indonesia
Siti Hajar Halili ; Faculty of Education, Universiti Malaya, Kuala Lumpur, Malaysia
Hamdy Abdullah ; Faculty of Business and Management, Universiti Sultan Zainal Abidin, Kuala Terengganu, Malaysia
Muthia Shahnaz ; Faculty of Economics and Business, Universitas Jambi, Jambi, Indonesia
Rafiqi Rafiqi ; Faculty of Economics and Business, Universitas Jambi, Jambi, Indonesia
Nela Safelia ; Faculty of Economics and Business, Universitas Jambi, Jambi, Indonesia

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Abstract

This study aimed to elaborate on the predictors of behavioral intention, actual behavior, perceived impact of AI on work engagement, and the perceived impact of AI on teaching and learning in Asian higher education institutions (HEIs). We extended the Unified Theory of Acceptance and Use of Technology (UTAUT) to test the relationships among these variables. In total, 516 lecturers from three different universities contributed to the dataset. Partial least squares structural equation modeling (PLS-SEM) was employed to analyze the respondents’ data through both measurement and structural models. The findings indicate that actual behavior has a significant positive relationship with the perceived impact of AI on teaching and learning and the perceived impact of AI on work engagement. Behavioral intention is strongly correlated with actual behavior. Performance expectancy is the most prominent link to behavioral intention, followed by social influence and facilitating conditions. The results of the study underscore the importance of fostering a conducive environment through adequate facilitating conditions and aligning performance expectations to drive behavioral intention and perceived engagement with AI technologies in HEIs.

Keywords

Artificial intelligence; behavior; higher education; Indonesian students; perceived impact of AI; work engagement; teaching and learning

Hrčak ID:

344632

URI

https://hrcak.srce.hr/344632

Publication date:

17.2.2026.

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