Artificial intelligence and employee performance in Uganda’s healthcare institutions: exploring the mediation effects of perceived ease of use and skills enhancement

This study contributes to the existing literature by integrating the technology acceptance model (TAM) and resource-based view (RBV) theory to explore the mediating roles of PEOU and skills enhancement in the context of AI adoption in healthcare. It provides empirical evidence from Uganda, a developing country context, thereby extending the understanding of AI's impact on employee performance in diverse healthcare settings. The study's findings highlight the critical importance of user perceptions and skill development in the successful implementation of AI technologies.