Application of artificial intelligence in enterprise human resource management and employee performance evaluation

被引:0
|
作者
Nie, Qingguo [1 ]
机构
[1] Nanchang Inst Technol, Nanchang, Jiangxi, Peoples R China
关键词
artificial intelligence; enterprise human resource management; employee performance evaluation; AI-optimised human resource model;
D O I
10.1504/IJCAT.2024.141940
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
With the rapid development of Artificial Intelligence (AI) technology, significant breakthroughs have been made in its application in many fields. Especially, in the field of enterprise human resource management and employee performance evaluation, AI has demonstrated its powerful ability to optimise and improve performance. This study explores the application of AI in enterprise human resource management and how to use AI to evaluate employee performance. The research includes analysing and comparing existing AI-driven human resource management models, evaluating how AI can help improve employee performance and leadership styles, and designing and developing human resource management computer systems for enterprise employees. Through empirical research and case analysis, this study proposes a new AI-optimised employee performance evaluation model and explores its application and effect in practice. In general, the application of AI can improve the efficiency and accuracy of enterprise human resource management, and provide new possibilities for employee performance evaluation. At present, artificial intelligence technology has been widely used in various fields of daily life, especially in corporate human resource management, providing better support for the development of enterprises.
引用
收藏
页码:186 / 196
页数:12
相关论文
共 50 条
  • [21] Artificial intelligence in human resource management in the Global South
    Kshetri, Nir
    AMCIS 2020 PROCEEDINGS, 2020,
  • [22] ARTIFICIAL INTELLIGENCE APPLIED IN ENTERPRISE RESOURCE PLANNING
    Santa, Janos
    INTERDISCIPLINARY DESCRIPTION OF COMPLEX SYSTEMS, 2024, 22 (03) : 360 - 363
  • [23] A Resource Scheduling Method for Enterprise Management Based on Artificial Intelligence Deep Learning
    Zhu, Lujie
    Huang, Li
    MOBILE INFORMATION SYSTEMS, 2022, 2022
  • [24] The Application of Human Resource Accounting in Modern Enterprise Management
    Liu Chengwei
    HUMAN RESOURCES MANAGEMENT IN THE KNOWLEDGE ECONOMY ERA, VOLS I AND II, 2009, : 857 - 860
  • [25] The Evaluation of Finance Module Implementation of Enterprise Resource Planning (ERP) for Employee Performance
    Hafifah, Dayane Kamila
    Witarsyah, Deden
    Saputra, Muhardi
    Azizah, Anik Hanifatul
    Saputri, Marhaeni Eka
    2019 2ND INTERNATIONAL CONFERENCE ON APPLIED INFORMATION TECHNOLOGY AND INNOVATION (ICAITI2019), 2019, : 140 - 145
  • [26] Analysis of Enterprise Human Resource Management and the Firm Performance
    Qian, Yuan
    Zhou, Lei
    Liu, Xiuping
    PROCEEDINGS OF THE 2017 3RD INTERNATIONAL CONFERENCE ON ECONOMICS, SOCIAL SCIENCE, ARTS, EDUCATION AND MANAGEMENT ENGINEERING (ESSAEME 2017), 2017, 119 : 1453 - 1456
  • [27] The effect of human resource management practices on enterprise performance
    Zhou, Wenjuan
    PROCEEDINGS OF THE 2017 INTERNATIONAL CONFERENCE ON HUMANITIES SCIENCE, MANAGEMENT AND EDUCATION TECHNOLOGY (HSMET 2017), 2017, 96 : 810 - 814
  • [28] Analysis of an Enterprise Human Resource Management Performance Evaluation Model Based on the DEA Method
    Gao, Bing
    Zhang, XiMeng
    JOURNAL OF SENSORS, 2022, 2022
  • [29] Clarifying the construct of human resource systems: Relating human resource management to employee performance
    Jiang, Kaifeng
    Lepak, David P.
    Han, Kyongji
    Hong, Ying
    Kim, Andrea
    Winkler, Anne-Laure
    HUMAN RESOURCE MANAGEMENT REVIEW, 2012, 22 (02) : 73 - 85
  • [30] Will artificial intelligence radically change human resource management processes?
    Stone, Dianna L.
    Lukaszewski, Kimberly M.
    Johnson, Richard D.
    ORGANIZATIONAL DYNAMICS, 2024, 53 (01)