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作者:

Shahzad, Muhammad Farrukh (Shahzad, Muhammad Farrukh.) | Xu, Shuo (Xu, Shuo.) (学者:徐硕) | Naveed, Waliha (Naveed, Waliha.) | Nusrat, Shahneela (Nusrat, Shahneela.) | Zahid, Imran (Zahid, Imran.)

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Scopus SCIE

摘要:

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.

关键词:

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

作者机构:

  • [ 1 ] [Shahzad, Muhammad Farrukh]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 2 ] [Xu, Shuo]Beijing Univ Technol, Coll Econ & Management, Beijing 100124, Peoples R China
  • [ 3 ] [Naveed, Waliha]Univ Engn & Technol, Inst Business & Management, Lahore 54000, Pakistan
  • [ 4 ] [Nusrat, Shahneela]Beijing Univ Technol, Coll Environm & Life Sci, Beijing 100124, Peoples R China
  • [ 5 ] [Zahid, Imran]Govt Coll Univ Faisalabad, Dept Mech Engn & Technol, Faisalabad, Pakistan

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来源 :

HELIYON

年份: 2023

期: 11

卷: 9

4 . 0 0 0

JCR@2022

被引次数:

WoS核心集被引频次: 17

SCOPUS被引频次: 29

ESI高被引论文在榜: 0 展开所有

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