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Cited by 276

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Toward Understanding Remote Workers’ Management of Work–Family Boundaries: The Complexity of Workplace Embeddedness

Eddleston, Kimberly A., Mulki, Jay·2017·Group & Organization Management

Abstract

This study employs a multi-method research design to examine how remote workers, or employees who work solely from home, manage the work–family interface. Our qualitative study revealed that working from home creates unique challenges for remote workers because the work role becomes embedded in the family domain such that their home comes to be associated with the work role, work physically and psychologically intrudes upon their family, and habits and norms form that induce remote workers to be preoccupied with work when home. Based on the qualitative findings, a model was proposed and tested via a questionnaire. Findings from this study of remote workers demonstrated that work–family integration increases family-to-work conflict and work-to-family conflict, and that an inability to disengage from work increases work-to-family conflict. Furthermore, strong work–family integration was found to be particularly harmful to male remote workers’ work-to-family conflict whereas a strong inability to disengage from work was found to be particularly harmful to female remote workers’ work-to-family conflict. Our findings therefore revealed that working solely from home encourages remote workers to overwork and to allow their work to infringe on their family role.

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Crossref · 10.1177/1059601115619548

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Metadata

Authors
Eddleston, K. A., & Mulki, J.
Venue
Group & Organization Management
Published
2015-12-15
Volume
42
Issue
3
Pages
346-387
ISSN
  • 1059-6011 (ISSN-L)
  • 1552-3993
OpenAlex
W2312485231
Cited by
276
References
7
FWCI
6.64
Type
journal article
Language
en
Open access
closed

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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.