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10.1080_0144929x.2021.1973107.pdf (2.04 MB)

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

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submitted on 2024-04-25, 06:09 and posted on 2024-04-25, 06:10 authored by Jensen Deutrom, Vasilis Katos, Raian Ali

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.

Other Information

Published in: Behaviour & Information Technology
License: http://creativecommons.org/licenses/by-nc-nd/4.0/
See article on publisher's website: https://dx.doi.org/10.1080/0144929x.2021.1973107

History

Language

  • English

Publisher

Taylor & Francis

Publication Year

  • 2021

License statement

This Item is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Institution affiliated with

  • Hamad Bin Khalifa University
  • College of Science and Engineering - HBKU

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    College of Science and Engineering - HBKU

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