Evidence map›Paper›PMID 35068596›Full record

ArticleTechnological forecasting and social change2021

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

Øystein Tønnessen, Amandeep Dhir, Bjørn-Tore Flåten

Open access · hybridAbstract read
In one paragraph

Article in Technological forecasting and social change, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
58.2field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 233 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 2 countries.

Øystein TønnessenDepartment of Management, School of Business and Law, University of Agder, Kristiansand, Norway.
Amandeep DhirDepartment of Management, School of Business and Law, University of Agder, Kristiansand, Norway.
Bjørn-Tore FlåtenDepartment of Management, School of Business and Law, University of Agder, Kristiansand, Norway.
University of Agder · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

COVID-19 pandemicCreative performanceDigital knowledge sharingSocial capitalWork from home

Identifiers

PMID35068596
PMCPMC8764621
OpenAlexW3164711199

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.