Abstract

Based on the relevant theories of social network research, this research uses CiteSpace software, taking the literature on job crafting research published in the web of science core corpus database 2000-2019 as the research object. Word analysis, cluster analysis and other analysis methods study and interpret 441 documents and data, draw a cooperative map of authors in the field of job crafting, knowledge maps of highyielding countries, knowledge maps of co-word analysis, and cluster analysis knowledge map to reflect current status and development trends in the research field, so that future research can find a suitable research direction and promote the further research of job crafting.

Highlights

  • In the current knowledge economy, the external environment is developing rapidly, and the definition of job roles is more ambiguous than in the past[1]

  • Job crafting refers to the redesign of employees' work from the bottom up, emphasizing employees' initiative to change themselves[2]

  • This article uses Citespace software to analyze the literature of current job crafting topics, summarize the existing results of the research, and analyze frontier hot spots and development trends, and provide references for future research under this theme

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Summary

Introduction

In the current knowledge economy, the external environment is developing rapidly, and the definition of job roles is more ambiguous than in the past[1]. Organizations are increasingly relying on their employees to fill the gap between the existing job requirements and the work that the organization must complete to remain competitive. Job crafting is valued by managers and researchers. Job crafting refers to the redesign of employees' work from the bottom up, emphasizing employees' initiative to change themselves[2]. There are few literature measurement analysis of knowledge graphs of existing research on Job crafting. This article uses Citespace software to analyze the literature of current job crafting topics, summarize the existing results of the research, and analyze frontier hot spots and development trends, and provide references for future research under this theme

Data Sources
Geographical distribution
Research hotspot analysis
Keyword co-occurrence
Full Text
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