Untangling the adverse effects of late-night usage of smartphone-based SNS among University students

Adeel Luqman, Ayesha Masood, Fakhar Shahzad, Muhammad Shahbaz and Yang Feng

Behaviour and Information Technology, 2021, vol. 40, issue 15, 1671-1687

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.

Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2020.1773538 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tbitxx:v:40:y:2021:i:15:p:1671-1687

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tbit20

DOI: 10.1080/0144929X.2020.1773538

Access Statistics for this article

Behaviour and Information Technology is currently edited by Dr Panos P Markopoulos

More articles in Behaviour and Information Technology from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().