AI in the Workplace: Driving Employee Performance Through Enhanced Knowledge Sharing and Work Engagement

In spite of the massive adoption of AI technologies in organizational settings, there is a mix of empirical evidence on how such technologies affect employee performance. Underpinned theoretically by social exchange theory, this study investigates how AI affects knowledge sharing and work engagement among employees. The present study also investigates the moderating role of perceived risk in the relationships between AI and knowledge sharing and work engagement. For analysis of the data collected from a sample of 447 Chinese workers, Structural Equation Modeling (SEM) was used. The results found a positive link between AI and both knowledge sharing and work engagement. It was also found that knowledge sharing and work engagement significantly influence employee performance. Moreover, the results suggest a positive correlation between knowledge sharing and work engagement. Additionally, the research has drawn attention to a fact that perceived risk moderates negatively the relationship between AI and knowledge sharing and work engagement. From these findings emanate important management implications for both management and employees on the strategic use of AI technology to enhance employee performance.