TY - JOUR
T1 - Correlates of social media fatigue and academic performance decrement
T2 - A large cross-sectional study
AU - Malik, Aqdas
AU - Dhir, Amandeep
AU - Kaur, Puneet
AU - Johri, Aditya
N1 - Funding Information:
Open access funding provided by Aalto University. This work is supported in part by US National Science Foundation Awards #142444 and #1707837 (PI: Johri), and Business Finland (40009/16, 5654/31/2018). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.
Funding Information:
Open access funding provided by Aalto University. This work is supported in part by US National Science Foundation Awards #142444 and #1707837 (PI: Johri), and Business Finland (40009/16, 5654/31/2018). Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the funding agencies.
Publisher Copyright:
© 2020, Aqdas Malik, Amandeep Dhir, Puneet Kaur and Aditya Johri.
PY - 2021/3/12
Y1 - 2021/3/12
N2 - Purpose: The current study aims to investigate if different measures related to online psychosocial well-being and online behavior correlate with social media fatigue. 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). 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. 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.
AB - Purpose: The current study aims to investigate if different measures related to online psychosocial well-being and online behavior correlate with social media fatigue. 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). 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. 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.
KW - Academic performance decrement
KW - Fear of missing out (FoMO)
KW - Online privacy
KW - Self-disclosure
KW - Social comparison
KW - Social media fatigue
UR - http://www.scopus.com/inward/record.url?scp=85081375513&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85081375513&partnerID=8YFLogxK
U2 - 10.1108/ITP-06-2019-0289
DO - 10.1108/ITP-06-2019-0289
M3 - Article
AN - SCOPUS:85081375513
SN - 0959-3845
VL - 34
SP - 557
EP - 580
JO - Information Technology and People
JF - Information Technology and People
IS - 2
ER -