Correlates of social media fatigue and academic performance decrement A large cross-sectional study
| dc.contributor.author | Aqdas Malik | |
| dc.contributor.author | Amandeep Dhir | |
| dc.contributor.author | Puneet Kaur | |
| dc.contributor.author | Aditya Johri | |
| dc.contributor.organization | fi=tietojärjestelmätiede|en=Information Systems Science| | |
| dc.contributor.organization-code | 1.2.246.10.2458963.20.70128852004 | |
| dc.converis.publication-id | 46941863 | |
| dc.converis.url | https://research.utu.fi/converis/portal/Publication/46941863 | |
| dc.date.accessioned | 2022-10-28T13:09:45Z | |
| dc.date.available | 2022-10-28T13:09:45Z | |
| dc.description.abstract | Purpose The current study aims to investigate if different measures related to online psychosocial well-being and online behavior correlate with social media fatigue. <div>Design/methodology/approach To understand the antecedents and consequences of social media fatigue, the stressor-strain-outcome (SSO) framework is applied. The study consists of two cross-sectional surveys that were organized with young-adult students. Study A was conducted with 1,398 WhatsApp users (aged 19 to 27 years), while Study B was organized with 472 WhatsApp users (aged 18 to 23 years). </div><div>Findings Intensity of social media use was the strongest predictor of social media fatigue. Online social comparison and self-disclosure were also significant predictors of social media fatigue. The findings also suggest that social media fatigue further contributes to a decrease in academic performance. </div><div>Originality/value This study builds upon the limited yet growing body of literature on a theme highly relevant for scholars, practitioners as well as social media users. The current study focuses on examining different causes of social media fatigue induced through the use of a highly popular mobile instant messaging app, WhatsApp. The SSO framework is applied to explore and establish empirical links between stressors and social media fatigue.</div> | |
| dc.identifier.eissn | 1758-5813 | |
| dc.identifier.jour-issn | 0959-3845 | |
| dc.identifier.olddbid | 180146 | |
| dc.identifier.oldhandle | 10024/163240 | |
| dc.identifier.uri | https://www.utupub.fi/handle/11111/38021 | |
| dc.identifier.urn | URN:NBN:fi-fe2021042821528 | |
| dc.language.iso | en | |
| dc.okm.affiliatedauthor | Dhir, Amandeep | |
| dc.okm.discipline | 113 Computer and information sciences | en_GB |
| dc.okm.discipline | 518 Media and communications | en_GB |
| dc.okm.discipline | 113 Tietojenkäsittely ja informaatiotieteet | fi_FI |
| dc.okm.discipline | 518 Media- ja viestintätieteet | fi_FI |
| dc.okm.internationalcopublication | international co-publication | |
| dc.okm.internationality | International publication | |
| dc.okm.type | A1 ScientificArticle | |
| dc.publisher | EMERALD GROUP PUBLISHING LTD | |
| dc.publisher.country | United Kingdom | en_GB |
| dc.publisher.country | Britannia | fi_FI |
| dc.publisher.country-code | GB | |
| dc.relation.doi | 10.1108/ITP-06-2019-0289 | |
| dc.relation.ispartofjournal | Information Technology and People | |
| dc.source.identifier | https://www.utupub.fi/handle/10024/163240 | |
| dc.title | Correlates of social media fatigue and academic performance decrement A large cross-sectional study | |
| dc.year.issued | 2020 |
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