Examining the relationship between fear of COVID-19, intolerance for uncertainty, and cyberloafing: A mediational model.

Cyberloafing Digital platforms Distress Fear Technology Uncertainty

Journal

Journal of business research
ISSN: 0148-2963
Titre abrégé: J Bus Res
Pays: United States
ID NLM: 101087747

Informations de publication

Date de publication:
Jun 2022
Historique:
received: 29 08 2021
revised: 12 03 2022
accepted: 15 03 2022
entrez: 28 3 2022
pubmed: 29 3 2022
medline: 29 3 2022
Statut: ppublish

Résumé

After the COVID-19 pandemic began, organizations had to pivot and move to online remote work. As companies moved to digital platforms and technologies for remote working, a key concern was the increase in workplace withdrawal behaviors during the pandemic, including cyberloafing, a form of workplace deviance. Cyberloafing can be described as the action of using the internet for non-work-related activities or personal use during working hours. Given its effect on organizational effectiveness and efficiency, organizations must take measures to minimize cyberloafing. We examined how two factors-fear of COVID-19 and intolerance for uncertainty-were related to cyberloafing during the third lockdown in Israel. A sample of 322 adults who were enrolled in professional courses at a university in Israel were surveyed. Based on Conservation of Resources Theory, our findings suggest that distress significantly mediated the relationship between fear of COVID-19, intolerance for uncertainty, and cyberloafing. In an attempt to deal with the stress and depletion of personal resources during the COVID-19 lockdown, individuals engaged in cyberloafing as a way to handle the stress. Our results suggest that organizations should take measures to reduce fear and uncertainty in order to decrease distress, which, in turn, will reduce cyberloafing.

Identifiants

pubmed: 35342209
doi: 10.1016/j.jbusres.2022.03.037
pii: S0148-2963(22)00271-5
pmc: PMC8936573
doi:

Types de publication

Journal Article

Langues

eng

Pagination

660-670

Informations de copyright

© 2022 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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Auteurs

Abira Reizer (A)

Department of Behavioral Sciences, Ariel University, Ariel 44837, Israel.

Bella L Galperin (BL)

The University of Tampa, Tampa, FL, USA.

Meena Chavan (M)

Macquarie Business School, Macquarie University, NSW 2109 Australia.

Abhishek Behl (A)

Management Development Institute, Gurgaon, India.

Vijay Pereira (V)

NEOMA Business School, France.

Classifications MeSH