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Untangling the adverse effects of late-night usage of smartphone-based SNS among University students.
- Source :
- Behaviour & Information Technology; Dec 2021, Vol. 40 Issue 15, p1671-1687, 17p, 3 Diagrams, 5 Charts
- Publication Year :
- 2021
-
Abstract
- Smartphone-based Social networking sites (SNS) use changed the ways that individuals are increasingly becoming free and flexible to engage in social media wherever and whenever they like. However, there have been few studies that ask possible adverse effects of the late-night usage of Smartphone-based SNS. The current aims to explore the effects of late-night extreme social, cognitive, and hedonic usages of social media, such as poor sleep quality (PSQ) and cognitive function depletion (CFD). Drawing from stress–strain-outcome and ego-depletion theories, we argue that late-night Smartphone-based SNS usage is a reason for sleep deprivation, thereby leading to the depletion of cognitive function with the inducement of poor academic performance. The study opted for an empirical study (N = 701), based on a dual theoretical model measured by using the adapted scale from well-established and reliable studies. This study determined that Smartphone-based SNS use for personal gratification at night affects PSQ, thereby relating to significant CFD during the day. Consequently, it influences the academic performance of the users. We also discussed the implications for the service provider, users, especially students, and others who are working with the dark side of SNSs use. [ABSTRACT FROM AUTHOR]
- Subjects :
- COLLEGE students
COGNITION disorders
EGO (Psychology)
SOCIALIZATION
STRUCTURAL equation modeling
RESEARCH evaluation
SOCIAL networks
SOCIAL media
FUNCTIONAL status
MATHEMATICAL models
SMARTPHONES
SLEEP hygiene
COGNITION
SLEEP disorders
ACADEMIC achievement
RESEARCH funding
THEORY
SLEEP deprivation
QUESTIONNAIRES
CHI-squared test
INTERNET addiction
STATISTICAL sampling
STUDENT attitudes
STATISTICAL correlation
WORLD Wide Web
PSYCHOLOGICAL stress
DISEASE risk factors
Subjects
Details
- Language :
- English
- ISSN :
- 0144929X
- Volume :
- 40
- Issue :
- 15
- Database :
- Complementary Index
- Journal :
- Behaviour & Information Technology
- Publication Type :
- Academic Journal
- Accession number :
- 153815847
- Full Text :
- https://doi.org/10.1080/0144929X.2020.1773538