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The Impact of Social Media on Employee Mental Health and Behavior Based on the Context of Intelligence-Driven Digital Data

Author

Listed:
  • Rong Zhou

    (Department of Development Studies, Faculty of Business and Economics, University of Malaya, Kuala Lumpur 50603, Malaysia)

  • Zhilin Luo

    (General Education Faculty, Chongqing Industry Polytechnic College, Chongqing 401120, China)

  • Shunbin Zhong

    (School of Business, Minnan Normal University, Zhangzhou 363000, China)

  • Xinhua Zhang

    (The Personnel Department, Suzhou Early Childhood Education College, Suzhou 215004, China)

  • Yihui Liu

    (School of Business, Nankai University, Tianjin 300071, China)

Abstract

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.

Suggested Citation

  • Rong Zhou & Zhilin Luo & Shunbin Zhong & Xinhua Zhang & Yihui Liu, 2022. "The Impact of Social Media on Employee Mental Health and Behavior Based on the Context of Intelligence-Driven Digital Data," IJERPH, MDPI, vol. 19(24), pages 1-20, December.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:24:p:16965-:d:1006434
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