Exploring Trends in High-Level Talent Recruitment Research in China: A Case Study of the CNKI Database.

High-level talent is a critical factor in the global movement of industries, and headhunting-an essential component of the human resources services sector-plays a key role in facilitating talent mobility and optimizing talent allocation. This study analyzes journal articles related to high-level talent recruitment (headhunting) indexed in the China National Knowledge Infrastructure (CNKI) database using content analysis. The findings reveal an increasing number of publications on this topic, with Beijing, Guangdong, and Jiangsu provinces leading in research output. In terms of research methods, qualitative approaches are more prevalent, while quantitative and mixed-method studies are less common. The research trends can be classified into three main areas: policies for attracting high-level talent, the effect of the business environment on talent clustering, and the development of the headhunting industry alongside talent cultivation.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-17
DOI
https://doi.org/10.5281/zenodo.15233742
Primary Topic
Human Resource and Talent Management
Type
article
Field-Weighted Citation Impact
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article

Exploring Trends in High-Level Talent Recruitment Research in China: A Case Study of the CNKI Database.

Zenodo (CERN European Organization for Nuclear Research)
Human Resource and Talent Management
article

Exploring Trends in High-Level Talent Recruitment Research in China: A Case Study of the CNKI Database.

article en

Abstract

High-level talent is a critical factor in the global movement of industries, and headhunting-an essential component of the human resources services sector-plays a key role in facilitating talent mobility and optimizing talent allocation. This study analyzes journal articles related to high-level talent recruitment (headhunting) indexed in the China National Knowledge Infrastructure (CNKI) database using content analysis. The findings reveal an increasing number of publications on this topic, with Beijing, Guangdong, and Jiangsu provinces leading in research output. In terms of research methods, qualitative approaches are more prevalent, while quantitative and mixed-method studies are less common. The research trends can be classified into three main areas: policies for attracting high-level talent, the effect of the business environment on talent clustering, and the development of the headhunting industry alongside talent cultivation.

Zenodo (CERN European Organization for Nuclear Research)
Industry, innovation and infrastructure
Openalex Percentile: Top 45%
Human Resource and Talent Management
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