Research on Emotional Labor and Influencing Factors based on Visual Analysis

Jun Liu, Lijuan Gao, Xianxin Tan

2021

Abstract

Information visualization is one of the data mining methods that have emerged in recent years. It can use the ability of humans to obtain models and structures in the form of visualization to solve the problem of excessive literature and cannot be processed quickly. It can filter and process data, and find information hidden behind the data. Therefore, this article uses the citespace software developed by Jie Li and Chaomei Chen, With the theme of “emotional labor”, all the documents from 2000 to 2021 were downloaded from the web of science database, and the keywords of this topic were visually analyzed to obtain a keyword co-occurrence map. The result shows that the analysis of antecedent variables is the focus of the research on this topic. At the same time, this article reviews the influencing factors and formation mechanism of emotional labor from the perspectives of conservation of resources theory, emotional contagion theory, and social exchange theory, and sorts out representative empirical research to provide new directions and ideas for future related researches.

Paper Citation

in Harvard Style

Liu J., Gao L. and Tan X. (2021). Research on Emotional Labor and Influencing Factors based on Visual Analysis. In Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA, ISBN 978-989-758-589-0, pages 314-320. DOI: 10.5220/0011343800003437

in Bibtex Style

@conference{pmbda21,
author={Jun Liu and Lijuan Gao and Xianxin Tan},
title={Research on Emotional Labor and Influencing Factors based on Visual Analysis},
booktitle={Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,},
year={2021},
pages={314-320},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011343800003437},
isbn={978-989-758-589-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA,
TI - Research on Emotional Labor and Influencing Factors based on Visual Analysis
SN - 978-989-758-589-0
AU - Liu J.
AU - Gao L.
AU - Tan X.
PY - 2021
SP - 314
EP - 320
DO - 10.5220/0011343800003437