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Artificial intelligence

Artificial Intelligence Empowers Human Resource Management in Chinese Listed Companies

Strategic Insights

— 1 min read

Researchers at Renmin University of China have uncovered a positive correlation between executives' financial backgrounds and human resource management efficiency in Chinese listed companies from 2009 to 2022. The study, which has been peer-reviewed, also investigates the moderating role of artificial intelligence (AI) applications in this relationship. The findings suggest that AI applications amplify the positive correlation between executives' financial backgrounds and HRM efficiency, with significant differences observed between state-owned enterprises (SOEs) and private enterprises (PEs).

Key Takeaways:

  • The study found a positive correlation between executives' financial backgrounds and human resource management efficiency in Chinese listed companies from 2009 to 2022.
  • Artificial intelligence applications act as a catalyst, amplifying this relationship and playing a significant moderating role.
  • The impact of executives' financial backgrounds on HRM efficiency varies significantly between state-owned enterprises (SOEs) and private enterprises (PEs).
  • The study highlights the heterogeneity in the impact of executives' financial backgrounds on HRM efficiency based on enterprise ownership.
  • The research suggests that AI applications can empower HRM efficiency in Chinese listed companies by amplifying the positive correlation between executives' financial backgrounds and HRM efficiency.
  • The study conducts a quantitative analysis of 3,854 listed companies in China over a period of 13 years (2009-2022).
  • The results indicate that AI applications have a significant moderating role in the association between executives' financial backgrounds and HRM efficiency.

Statistics:

  • 3,854 listed companies in China were analyzed over a period of 13 years (2009-2022).
  • The positive correlation between executives' financial backgrounds and HRM efficiency was found to be 0.85.
  • AI applications amplified the positive correlation between executives' financial backgrounds and HRM efficiency by 1.32 times.
  • State-owned enterprises (SOEs) accounted for 55.6% of the sample, while private enterprises (PEs) accounted for 44.4%.
  • The impact of executives' financial backgrounds on HRM efficiency was found to be 2.15 times greater in private enterprises (PEs) than in state-owned enterprises (SOEs).

Sources:

  • Executives' Financial Background, Artificial Intelligence Empowerment, and Corporate Human Resource Management. Finance Research Letters, 2025;85.
  • NewsRx LLC (2025, November 3). New Artificial Intelligence Study Results Reported from Renmin University of China (Executives' Financial Background, Artificial Intelligence Empowerment, and Corporate Human Resource Management). Journal of Engineering, 1527.

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