Effect of AI Technology Acceptance and Use on Behavioral Intentions and Career Adaptability
This study explores how UTAUT2 factors influence college students’ intentions to adopt AI and their career adaptability. Survey data from 327 students show that Performance Expectancy, Hedonic Motivation, and Habit significantly impact AI adoption, while Effort Expectancy, Facilitating Conditions, Hedonic Motivation, Price Value, and Habit influence career adaptability. The findings suggest that fostering positive attitudes toward AI is essential. To prepare students for an AI-driven workforce, the study recommends integrating AI into curricula, providing necessary resources, and promoting collaborative learning to support skill development and adaptability in a rapidly evolving technological landscape.
Authors
- Eugene Tang (ORCID: https://orcid.org/0000-0001-5192-2521)
- Li-Chiu Chi
- Tseng-Chung Tang
Institutions
- National Formosa University (TW)
- University of California, Berkeley (US)
Publication Details
- Journal
- Environment-Behaviour Proceedings Journal
- Published
- 2025-04-15
- DOI
- https://doi.org/10.21834/e-bpj.v10isi27.6835
- Primary Topic
- Technology Adoption and User Behaviour
- Type
- article
- Field-Weighted Citation Impact
- 0.00