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Cited by 291

The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.

Co‐workers working from home and individual and team performance

Open access
van der Lippe, Tanja, Lippényi, Zoltán·2020·New Technology, Work and Employment

Abstract

The number of firms supporting work from home has risen dramatically as advances in communication technology have fundamentally transformed the way humans cooperate. A growing literature addresses working from home, but focuses only on individual workers, overlooking potential influence of co‐worker engagement. Our aim is to study the influence of co‐workers working from home on individual and team performance. We use unique data from a large‐scale survey involving nine European countries, 259 establishments, 869 teams and 11,011 employees to show that the impact of working from home by co‐workers on performance is considerable and has remained hidden in past studies because they did not account for co‐worker effects. While working from home may be useful for some workers, it does bring issues for them as well. Specifically, we demonstrate that co‐workers working from home negatively impact employee performance. Moreover, team performance is worse when more co‐workers are working from home.

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Metadata

Authors
van der Lippe, T., & Lippényi, Z.
Venue
New Technology, Work and Employment
Publisher
Wiley
Published
2019-11-14
Volume
35
Issue
1
Pages
60-79
ISSN
  • 0268-1072 (ISSN-L)
  • 1468-005X
OpenAlex
W2983590536
Cited by
291
References
10
FWCI
60.59
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Co‐workers working from home and individual and team performance. https://app.cochat.ai/papers/10.1111/ntwe.12153
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van der Lippe, T., & Lippényi, Z. (2020). Co‐workers working from home and individual and team performance. New Technology, Work and Employment. https://doi.org/10.1111/ntwe.12153

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.