Abstract
Turnover intentions plays an important role in predicting employee turnover behavior. In order to accurately identify research hotspots and evolutionary trends in turnover intention, this study uses the literature on departure inclination in the Web of Science core collection as the research object and uses CiteSpace.5.5 for visual analysis. The research results show that the research topics of turnover intention can be summarized into three aspects: the factors affecting turnover intention, the consequences of turnover intention, and the research methods. Although some researches on turnover intention have achieved certain results, there are still some problems such as lack of cooperation among researchers, few personal influence factors, and few studies on how to reduce turnover intentions. Based on this, some suggestions for future research directions are proposed.
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CITATION STYLE
Liu, H., & Liu, Y. (2021). Visualization Research and Analysis of Turnover Intention. In E3S Web of Conferences (Vol. 253). EDP Sciences. https://doi.org/10.1051/e3sconf/202125302018
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