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Cited by 909

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Assessing the growth of remote working and its consequences for effort, well‐being and work‐life balance

Open access
Felstead, Alan, Henseke, Golo·2017·New Technology, Work and Employment

Abstract

This article critically assesses the assumption that more and more work is being detached from place and that this is a ‘win‐win’ for both employers and employees. Based on an analysis of official labour market data, it finds that only one‐third of the increase in remote working can be explained by compositional factors such as movement to the knowledge economy, the growth in flexible employment and organisational responses to the changing demographic make‐up of the employed labour force. This suggests that the detachment of work from place is a growing trend. This article also shows that while remote working is associated with higher organisational commitment, job satisfaction and job‐related well‐being, these benefits come at the cost of work intensification and a greater inability to switch off.

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Registry

Crossref · 10.1111/ntwe.12097

Cites

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Metadata

Authors
Felstead, A., & Henseke, G.
Venue
New Technology, Work and Employment
Publisher
Wiley
Published
2017-10-04
Volume
32
Issue
3
Pages
195-212
ISSN
  • 0268-1072 (ISSN-L)
  • 1468-005X
OpenAlex
W2752832772
Cited by
909
References
5
FWCI
56.61
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Assessing the growth of remote working and its consequences for effort, well‐being and work‐life balance. https://app.cochat.ai/papers/10.1111/ntwe.12097
The paper
Felstead, A., & Henseke, G. (2017). Assessing the growth of remote working and its consequences for effort, well‐being and work‐life balance. New Technology, Work and Employment. https://doi.org/10.1111/ntwe.12097

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.