Research on the Application of Large Language Models in Human Resource Management Practices

With the rapid development of artificial intelligence technology, large language models (LLMs) are being increasingly applied across various fields. This paper focuses on the research of LLMs in human resource management practices, discussing the current applications, challenges, and future trends of LLMs in core HR functions such as recruitment, training, and performance management. Through a systematic review and analysis of existing literature, this study finds that LLMs demonstrate enormous potential in HR management, significantly improving work efficiency, optimizing decision-making processes, and personalizing employee experiences. However, challenges such as data privacy, algorithmic bias, and ethical concerns still exist in practical applications. This paper proposes a series of recommendations to promote the effective application of LLMs in HR management and provides insights for future research directions.

Authors

Publication Details

Journal
International Journal of Emerging Technologies and Advanced Applications
Published
2024-09-27
DOI
https://doi.org/10.62677/ijetaa.2408125
Citations
2
Primary Topic
Educational Reforms and Innovations
Type
article
Field-Weighted Citation Impact
0.63
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article

Research on the Application of Large Language Models in Human Resource Management Practices

Jingran Sun
2 citations
International Journal of Emerging Technologies and Advanced Applications
Educational Reforms and Innovations
0.63
article

Research on the Application of Large Language Models in Human Resource Management Practices

Jingran Sun
article en
2 citations

Abstract

With the rapid development of artificial intelligence technology, large language models (LLMs) are being increasingly applied across various fields. This paper focuses on the research of LLMs in human resource management practices, discussing the current applications, challenges, and future trends of LLMs in core HR functions such as recruitment, training, and performance management. Through a systematic review and analysis of existing literature, this study finds that LLMs demonstrate enormous potential in HR management, significantly improving work efficiency, optimizing decision-making processes, and personalizing employee experiences. However, challenges such as data privacy, algorithmic bias, and ethical concerns still exist in practical applications. This paper proposes a series of recommendations to promote the effective application of LLMs in HR management and provides insights for future research directions.

International Journal of Emerging Technologies and Advanced ApplicationsVol. 1(8)
Openalex Percentile: Top 30%
Educational Reforms and Innovations
0.63
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