Artificial intelligence and employee productivity: two way process through knowledge sharing and well-being
Abstract/Description
Following the social cognitive theory, the current study investigated the impact of artificial intelligence on employees’ productivity in the healthcare sector. With the underlying mechanism of employee mental well-being and knowledge sharing, the study has considered beneficial and harmful perspectives of AI at the workplace. The study also hypothesizes the important role of technological leadership. The data collected from 184 doctors in Pakistan resulted in partial support of the hypothesized relationship. PLS results show the support for a direct relationship between AI and employee productivity. The findings also supported the underlying mechanism of knowledge sharing but not mental well-being in the relationship between AI and productivity. Surprisingly, technological leadership did not show playing the role of moderating the relationship. The study discusses in detail the results and the implications for the healthcare sector. Moreover, future research directions are provided to draw the path for future research.
Track
Management
Session Number/Theme
Session 1B: Technology and Innovation
Session Chair
Dr. Kamran Mumtaz, Institute of Business Administration, Karachi
Start Date/Time
23-6-2022 11:00 AM
End Date/Time
23-6-2022 11:20 AM
Location
Training Room 1, Marriott Hotel, Karachi
Recommended Citation
Shaikh, F., Afshan, G., Anwer, R. S., Abbas, Z., & Sahibzada, U. F. (2022). Artificial intelligence and employee productivity: two way process through knowledge sharing and well-being. 3rd IBA SBS International Conference 2024. Retrieved from https://ir.iba.edu.pk/sbsic/2022/program/6
COinS
Artificial intelligence and employee productivity: two way process through knowledge sharing and well-being
Training Room 1, Marriott Hotel, Karachi
Following the social cognitive theory, the current study investigated the impact of artificial intelligence on employees’ productivity in the healthcare sector. With the underlying mechanism of employee mental well-being and knowledge sharing, the study has considered beneficial and harmful perspectives of AI at the workplace. The study also hypothesizes the important role of technological leadership. The data collected from 184 doctors in Pakistan resulted in partial support of the hypothesized relationship. PLS results show the support for a direct relationship between AI and employee productivity. The findings also supported the underlying mechanism of knowledge sharing but not mental well-being in the relationship between AI and productivity. Surprisingly, technological leadership did not show playing the role of moderating the relationship. The study discusses in detail the results and the implications for the healthcare sector. Moreover, future research directions are provided to draw the path for future research.
