Digital knowledge sharing and creative performance: Work from home during the COVID-19 pandemic

Øystein Tønnessen, Amandeep Dhir and Bjørn-Tore Flåten

Technological Forecasting and Social Change, 2021, vol. 170, issue C

Abstract: The outbreak of the COVID-19 pandemic and the resulting social distancing requirements have led to major disruptions in the world of work. The outcomes of the enforced and large-scale work from home (WFH) practices are currently largely unexplored. This study aims to address this gap in the research by investigating the external and internal digital knowledge sharing (DKS) and creative performance (CP) of employees under these extraordinary circumstances. The social capital theory was utilized as the theoretical lens for examining the associations of DKS and CP with demographic, individual, and organizational factors. An online cross-sectional survey was carried out among knowledge workers based in Norway during the pandemic lockdown. The study results indicate that internal and external DKS are significant predictors of CP in the WFH context during the COVID-19 pandemic. Females and older employees are more likely to engage in external DKS than their counterparts. Furthermore, individual motivation is found to be positively associated with internal DKS, external DKS, and CP. The findings suggest that increased use of digital platforms helps increase CP in the WFH setting resulting from the pandemic. Various theoretical and practical implications are discussed, and future research avenues are proposed.

Keywords: COVID-19 pandemic; Creative performance; Digital knowledge sharing; Social capital; Work from home (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162521002985
Full text for ScienceDirect subscribers only

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:eee:tefoso:v:170:y:2021:i:c:s0040162521002985

DOI: 10.1016/j.techfore.2021.120866

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().