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The effect of social media use on job performance with moderating effects of Cyberloafing and job complexity.

Authors :
Zahmat Doost, Elmira
Zhang, Wei
Source :
Information Technology & People; 2024, Vol. 37 Issue 4, p1775-1801, 27p
Publication Year :
2024

Abstract

Purpose: This study aims to investigate whether social media use (SMU) at work has a curvilinear effect on job performance and whether Cyberloafing (non-work-related use) and job complexity moderate this effect. Design/methodology/approach: Online surveys were conducted in China among WeChat users from multiple organizations working in the office environment, generating 350 valid responses. Findings: The results revealed that there is an inverted U-shaped relationship between SMU at work and job performance through mediations of communication, information sharing and entertainment; such that the relationship is initially positive but becomes weaker as SMU increases and exceeds the optimal level. Notably, it is found that Cyberloafing negatively moderates the relationship between SMU and job performance, and there is a significant joint moderating effect of job complexity and Cyberloafing. Practical implications: This study improves the research of information system use. It also provides implications for organizations concerned about formulating policies related to individuals' SMU and suggests that SM users and managers should find strategies to arrive at without surpassing the optimal level to maximize productivity. Originality/value: This paper enriches the job demands-resources model to extend the literature on the advantages and disadvantages of SMU at work, which indirectly affect performance through two job conditions (job resources and demands). The study finds that employees benefit from a moderate amount of SMU at work, once it surpasses the optimal level, job demands surpass job resources and counterproductivity will appear. In addition, Cyberloafing and job complexity moderate the optimal level of SMU at work, which have not yet been investigated. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
09593845
Volume :
37
Issue :
4
Database :
Complementary Index
Journal :
Information Technology & People
Publication Type :
Academic Journal
Accession number :
177066858
Full Text :
https://doi.org/10.1108/ITP-04-2022-0249