1. Self-regulation and social media addiction: A multi-wave data analysis in China.
- Author
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Khan, Naseer Abbas, Khan, Ali Nawaz, and Moin, Muhammad Farrukh
- Subjects
SOCIAL media addiction ,SELF-esteem ,SOCIAL cognitive theory ,DATA analysis ,SELF regulation ,TASK performance - 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]
- Published
- 2021
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