Adoption of Generative AI Technologies and Their Impact on Employee Well-being in Universities: An Empirical Study Using the Technology Acceptance Model (TAM)
Author:
Refah Nasser AL-Qahtani
PhD Student, Department of Public Administration, College of Business Administration, King Saud University, Saudi Arabia
doi.org/10.52132/Ajrsp.e.2025.79.1
This study investigates the adoption of generative artificial intelligence (AI) technologies—such as ChatGPT and DeepSeek—and their impact on employee well-being within university settings. Drawing on the Technology Acceptance Model (TAM), the research explores how perceived usefulness, ease of use, and enjoyment influence the adoption of AI tools by administrative staff. A quantitative survey was conducted with 164 university employees using a structured questionnaire. The findings revealed that perceived enjoyment is the only statistically significant predictor of AI adoption, while perceived usefulness and ease of use did not show significant effects. Furthermore, the adoption of generative AI tools was positively associated with employee happiness and negatively associated with stress levels. These results highlight the importance of intrinsic motivation and user experience in driving technology acceptance, especially in voluntary-use contexts. The study provides practical insights for university administrators seeking to enhance both AI adoption and employee well-being. The study recommends examining external factors such as organizational support, peer influence, and corporate culture to uncover how social and environmental conditions affect AI adoption. Equally important is addressing the potential downsides of AI, including user anxiety, job insecurity, and ethical concerns.
Keywords:
Generative AI, Technology Acceptance Model, Employee Well-being, ChatGPT, Higher Education, TAM
Academic Journal of Research and Scientific Publishing
