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Self-regulation and social media addiction: A multi-wave data analysis in China.
- Source :
- Technology in Society; Feb2021, Vol. 64, pN.PAG-N.PAG, 1p
- Publication Year :
- 2021
-
Abstract
- Based on social cognitive theory (SCT), the present study aimed to investigate the impact of social media addiction (SMA) on employee strain and task performance through work-technology conflict and self-esteem. Furthermore, this study hypothesizes that the moderating influence of self-regulation may buffer the impact of SMA on work-technology conflict and self-esteem. The final sample of this study was 282 employees of Chinese information technology companies from southwest China's Guizhou province. Results demonstrated that SMA significantly affects task performance via work-technology conflict and self-esteem. This study presents some distinctive results by showing that the mediating role of self-esteem is found to be insignificant in the association between SMA and strain. Self-regulation reduces the increased impact of SMA on work-technology conflict and self-esteem. Moreover, this study provides useful insights for practitioners, managers, and future researchers to understand the impact of SMA on employees' mental health and task performance. • Social Media Addiction increases work-technology conflict. • Social Media Addiction negatively impact the Self-esteem of users. • Self-Regulation moderated the link between Social Media Addiction Self-esteem and WTC. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0160791X
- Volume :
- 64
- Database :
- Supplemental Index
- Journal :
- Technology in Society
- Publication Type :
- Academic Journal
- Accession number :
- 149153755
- Full Text :
- https://doi.org/10.1016/j.techsoc.2021.101527