AI in the Workplace: Driving Employee Performance Through Enhanced Knowledge Sharing and Work Engagement DOI
Ali Khan, Mohsin Ali Soomro, Abdul Hameed Pitafi

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Dec. 9, 2024

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

Language: Английский

AI in the Workplace: Driving Employee Performance Through Enhanced Knowledge Sharing and Work Engagement DOI
Ali Khan, Mohsin Ali Soomro, Abdul Hameed Pitafi

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: Dec. 9, 2024

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

Language: Английский

Citations

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