 Self-regulation and social media addiction: A multi-wave data analysis in ChinaNaseer Abbas Khan, Ali Nawaz Khan and Muhammad Farrukh Moin Technology in Society, 2021, vol. 64, issue C 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. Keywords: Social media addiction; Work-technology conflict; Self-esteem; Strain; Task performance; Self-regulation (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:teinso:v:64:y:2021:i:c:s0160791x21000026 DOI: 10.1016/j.techsoc.2021.101527 Access Statistics for this article Technology in Society is currently edited by Charla Griffy-Brown More articles in Technology in Society from Elsevier |
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