The impact of social media on employee mental health and behavior based on the context of intelligence-driven digital data

With the rapid development and widespread popularity of the Internet, employee social media use at work has become an increasingly common phenomenon in organizations. This paper analyzes 105 related papers from the Social Science Citation Index in Web of Science through Scoping Review to clarify the...

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Main Authors: Zhou, Rong, Luo, Zhilin, Zhong, Shunbin, Zhang, Xinhua, Liu, Yihui
Format: Article
Published: MDPI 2022
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Online Access:http://eprints.um.edu.my/40323/
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Institution: Universiti Malaya
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spelling my.um.eprints.403232023-11-23T03:14:41Z http://eprints.um.edu.my/40323/ The impact of social media on employee mental health and behavior based on the context of intelligence-driven digital data Zhou, Rong Luo, Zhilin Zhong, Shunbin Zhang, Xinhua Liu, Yihui H Social Sciences (General) RA0421 Public health. Hygiene. Preventive Medicine With the rapid development and widespread popularity of the Internet, employee social media use at work has become an increasingly common phenomenon in organizations. This paper analyzes 105 related papers from the Social Science Citation Index in Web of Science through Scoping Review to clarify the definition and characteristics of employee social media use and the types of social media and summarizes the current research methods. Then, the reasons for employees' willingness and refusal to use social media and the positive and negative effects of employee social media use on employees' work attitudes, behaviors, and performance are discussed. Then, the mediating variables, moderating variables, and theoretical frameworks used in the relevant studies are described, and a comprehensive model of employee social media use is constructed. Finally, this paper indicates future research directions based on the latest research results in 2020-2022, i.e., improving research methods, increasing antecedent studies, expanding consequence research, and expanding mediating variables, moderating variables, and theoretical perspectives. MDPI 2022-12 Article PeerReviewed Zhou, Rong and Luo, Zhilin and Zhong, Shunbin and Zhang, Xinhua and Liu, Yihui (2022) The impact of social media on employee mental health and behavior based on the context of intelligence-driven digital data. International Journal of Environmental Research and Public Health, 19 (24). ISSN 1660-4601, DOI https://doi.org/10.3390/ijerph192416965 <https://doi.org/10.3390/ijerph192416965>. 10.3390/ijerph192416965
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic H Social Sciences (General)
RA0421 Public health. Hygiene. Preventive Medicine
spellingShingle H Social Sciences (General)
RA0421 Public health. Hygiene. Preventive Medicine
Zhou, Rong
Luo, Zhilin
Zhong, Shunbin
Zhang, Xinhua
Liu, Yihui
The impact of social media on employee mental health and behavior based on the context of intelligence-driven digital data
description With the rapid development and widespread popularity of the Internet, employee social media use at work has become an increasingly common phenomenon in organizations. This paper analyzes 105 related papers from the Social Science Citation Index in Web of Science through Scoping Review to clarify the definition and characteristics of employee social media use and the types of social media and summarizes the current research methods. Then, the reasons for employees' willingness and refusal to use social media and the positive and negative effects of employee social media use on employees' work attitudes, behaviors, and performance are discussed. Then, the mediating variables, moderating variables, and theoretical frameworks used in the relevant studies are described, and a comprehensive model of employee social media use is constructed. Finally, this paper indicates future research directions based on the latest research results in 2020-2022, i.e., improving research methods, increasing antecedent studies, expanding consequence research, and expanding mediating variables, moderating variables, and theoretical perspectives.
format Article
author Zhou, Rong
Luo, Zhilin
Zhong, Shunbin
Zhang, Xinhua
Liu, Yihui
author_facet Zhou, Rong
Luo, Zhilin
Zhong, Shunbin
Zhang, Xinhua
Liu, Yihui
author_sort Zhou, Rong
title The impact of social media on employee mental health and behavior based on the context of intelligence-driven digital data
title_short The impact of social media on employee mental health and behavior based on the context of intelligence-driven digital data
title_full The impact of social media on employee mental health and behavior based on the context of intelligence-driven digital data
title_fullStr The impact of social media on employee mental health and behavior based on the context of intelligence-driven digital data
title_full_unstemmed The impact of social media on employee mental health and behavior based on the context of intelligence-driven digital data
title_sort impact of social media on employee mental health and behavior based on the context of intelligence-driven digital data
publisher MDPI
publishDate 2022
url http://eprints.um.edu.my/40323/
_version_ 1783876702204592128