Abstract

Human resource is contained in the knowledge, ability and employee relationship of the employees in the enterprise, and it is the competitive advantage that the competitors can not imitate, and the effective practice of human resources management can promote the organization innovation. This study uses the knowledge map research method to analyze the journals on the practical subject of human resources management in China, taking the periodicals included in the core journals from 1994 to 2018 as the research object, and using citespace software to analyze the journals from the literature authors and the publishing organizations. By drawing the map of scientific knowledge, we can identify the current situation and research focus in China.

Highlights

  • Human resources have become a strategic resource of an enterprise and the most important resource of an enterprise or organization

  • Since the information of irrelevant literature will affect the accuracy of citespace analysis, the resource type selects the journal, the subject is "Human Resource Management Practice", and the core journal is selected for retrieval, and the time is not set

  • Knowledge graph is a method of visual analysis of a research field through various means such as data mining, scientific measurement, information analysis,and graph drawing

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Summary

Introduction

Human resources have become a strategic resource of an enterprise and the most important resource of an enterprise or organization. In order to clearly present the context of existing research results, the scientific knowledge map research method is used to analyze the retrieved literature, grasp the hot changes and development of human resource management research, and provide reference and reference for the theoretical research and practice of human resource management

Data collection status
Visual analysis of research focus and development trend
Knowledge Graph Analysis of Research Institutions
Keyword co-occurrence knowledge graph analysis
Evolutionary process and research hotspot knowledge map analysis
Conclusion
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