Loneliness, life satisfaction, problematic internet use and security behaviours: re-examining the relationships when working from home during COVID-19

Jensen Deutrom, Vasilis Katos and Raian Ali

Behaviour and Information Technology, 2022, vol. 41, issue 14, 3161-3175

Abstract: Working remotely from home within lockdown conditions can have implications on wellbeing and how people perceive and interact with technology to coordinate, communicate and collaborate with others. Previous research has shown relationships amongst life satisfaction, loneliness and problematic internet use and, also, between the latter and cyber security behaviours. We re-examine these relationships during the UK COVID-19 lockdown through an online survey completed by 299 participants working from home. The survey included demographics and work conditions questions and also the Satisfaction With Life Scale (SWLS), UCLA-3 Loneliness Scale, Problematic Internet Use Questionnaire-Short Form-6 (PIUQ-SF-6), and Security Behavior Intentions Scale (SeBIS). Structural equation modelling revealed that most notably, loneliness positively predicted problematic internet use, life satisfaction negatively predicted problematic internet use and that problematic internet use negatively predicted cyber security behaviours Implications includes educational and therapeutic interventions which could be applied by employers/governing bodies to target those at risk of loneliness and problematic internet use with the hope of mitigating these experiences and improving cyber security behaviours. The current findings may be especially relevant should waves of COVID-19 or similar crisis are experienced, and when working from home becomes a norm for some organisations and jobs.

Date: 2022
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/0144929X.2021.1973107 (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:41:y:2022:i:14:p:3161-3175

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

DOI: 10.1080/0144929X.2021.1973107

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 ().