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

Naseer Abbas Khan, Ali Nawaz Khan, Muhammad Moin

Research output: Contribution to journalArticlepeer-review

48 Citations (Scopus)

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.
Original languageEnglish
Article number101527
Number of pages10
JournalTechnology in Society
Volume64
Early online date14 Jan 2021
DOIs
Publication statusPublished - 1 Feb 2021
Externally publishedYes

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