Do employees intend to use artificial intelligence An empirical study in Vietnam

This study examines the factors influencing employees' acceptance of AI systems by integrating the technology acceptance model (TAM) and task-technology fit (TTF) model. Data were collected from 527 employees through a survey, and structural equation modelling (SEM) was used to test the hypotheses. Results indicate that perceived ease of use (PEOU), driven by task-technology fit, AI self-efficacy, and voluntariness, plays a key role in AI adoption. Surprisingly, perceived usefulness (PU) did not significantly impact adoption intentions, likely due to the bureaucratic culture of these enterprises. While AI self-efficacy positively influenced PEOU, it negatively affected PU. External factors such as supervisor influence were more significant than peer influence in shaping perceptions of AI systems. The findings suggest that voluntariness and organisational factors are crucial to successful AI adoption, offering insights for improving AI integration in similar contexts.