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Self-regulation and social media addiction: A multi-wave data analysis in China.

Authors :
Khan, Naseer Abbas
Khan, Ali Nawaz
Moin, Muhammad Farrukh
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