The Role of Actor’s Self-efficacy in AI Utilization

Abstract

The aim of this study was to explore the role of self-efficacy in the adoption and utilization of AI technologies within organizational settings through a metasummary approach. By analyzing thematic findings across multiple studies, the research identified three key themes: catalyst for AI adoption, attitudes and emotions, and performance. The findings revealed that self-efficacy plays a significant role in promoting AI adoption, fostering positive emotional responses, and motivating learning behaviors, although certain areas, such as creativity and decision-making, were less frequently mentioned. From a theoretical perspective, the study confirmed that self-efficacy enhances Human-Computer Interaction (HCI) and AI utilization. Practically, the results suggest that organizations should focus on improving employees’ self-efficacy through training and development to achieve better AI integration. Limitations include the reliance on existing literature and the lack of qualitative insights into certain areas. Future research should address these gaps by examining underexplored aspects of self-efficacy in AI environments to optimize both HCI and AI utilizations.