Title

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

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Jun 23rd, 11:00 AM Jun 23rd, 11:20 AM

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.