Economics at your fingertips  

The Great Employee Divide: Clustering Employee « Well-being » Challenge during Covid-19

Jacques Bughin, Michele Cincera, Dorota Reykowska, Marcin Zyszkiewicz and Rafal Ohme

No 2020-41, Working Papers TIMES² from ULB -- Universite Libre de Bruxelles

Abstract: The Covid-19 pandemic has triggered unprecedented levels of disruption and stress for workers. Still, little is relatively known about the state of mind of the workforce, even if its well-being is increasingly recognized as a driver of productivity. This paper encompasses multiple forms of stress - health, economic, social, and psychological – faced by the workforce, and demonstrates that not only have workers been facing large levels of stress during the Covid-19 pandemic beyond health issues, but that stress is not uniformly distributed among workers. While it is known that Covid-19 has been building a divide between remote and on-site workers, we uncover a much larger divide than the ones induced by work location alone, with the divide being due to different perceptions of mix and level of worries. Human resources practices may have to be much more personalized and include all forms of stress to diagnose the level of workers’ state of fragility if they wish to create a much more resilient and productive workforce.

Keywords: Covid-19; Coronavirus; Economic shutdowns; Reopening the economy; Preventative behaviors; Risk-taking tendencies; Prosocial tendencies; Workforce burnout (search for similar items in EconPapers)
Pages: 32 p.
Date: 2020-12
New Economics Papers: this item is included in nep-hea
References: View references in EconPapers View complete reference list from CitEc

Published by:

Downloads: (external link) ... ZYSZKIEWICZ_OHME.pdf Œuvre complète ou partie de l'œuvre (application/pdf)

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:

Ordering information: This working paper can be ordered from ...

Access Statistics for this paper

More papers in Working Papers TIMES² from ULB -- Universite Libre de Bruxelles Contact information at EDIRC.
Bibliographic data for series maintained by Benoit Pauwels ().

Page updated 2024-04-10
Handle: RePEc:ict:wpaper:2013/320194