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Author:

Shahzad, M.F. (Shahzad, M.F..) | Xu, S. (Xu, S..) | Naveed, W. (Naveed, W..) | Nusrat, S. (Nusrat, S..) | Zahid, I. (Zahid, I..)

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Scopus SCIE

Abstract:

Artificial intelligence (AI) is rapidly transforming the way human resources (HR) functions are carried out in the health sector of China. This study aims to scrutinize the impact of artificial intelligence on the human resource functions operating in the healthcare sector through technological awareness, social media influence, and personal innovativeness. Additionally, this study examines the moderating role of perceived risk between technological awareness and human resources functions. An online questionnaire was administered to human resources professionals in the health sector of China to gather data from 363 respondents. Partial least squares structural equation modeling (PLS-SEM), a statistical procedure, is implemented to investigate the hypothesis of the projected model of artificial intelligence and human resource functions. The research findings reveal that artificial intelligence significantly influences human resource functions through technological awareness, social media influence, and personal innovativeness. Furthermore, perceived risk significantly moderates the relationship between technological awareness and human resource functions. The findings of this study have important implications for HR practitioners and policymakers in the health sectors of China, who can leverage artificial intelligence technologies to optimize and improve organizational performance. However, its adoption needs to be carefully planned and managed to reap the full benefits of this transformative technology. © 2023 The Authors

Keyword:

Perceived risk Human resource functions Social media influence Technological awareness Artificial intelligence Personal innovativeness

Author Community:

  • [ 1 ] [Shahzad M.F.]College of Economics and Management, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Xu S.]College of Economics and Management, Beijing University of Technology, Beijing, 100124, China
  • [ 3 ] [Naveed W.]Institute of Business & Management, University of Engineering and Technology, Lahore, 54000, Pakistan
  • [ 4 ] [Nusrat S.]College of Environment and Life Science, Beijing University of Technology, Beijing, 100124, China
  • [ 5 ] [Zahid I.]Department of Mechanical Engineering and Technology, Government College University Faisalabad, Pakistan

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Source :

Heliyon

ISSN: 2405-8440

Year: 2023

Issue: 11

Volume: 9

4 . 0 0 0

JCR@2022

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 25

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 5

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