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Cited by 268

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

WORK-FAMILY ROLE SYNTHESIS: INDIVIDUAL AND ORGANIZATIONAL DETERMINANTS

Ernst Kossek, Ellen, Noe, Raymond A., DeMarr, Beverly J.·1999·International Journal of Conflict Management

Abstract

In light of the dramatic social transformations occurring in the nature of family and worker demands, nearly all employees today need to make decisions on how to manage work and family roles. Drawing on role theory, we provide a summary framework for understanding individual, family, and organizational influences on the self-management of work and family roles. Work-family role synthesis is defined as the strategies an individual uses to manage the enactment of work and caregiving roles. It involves decision-making choices governing boundary management and role embracement of multiple roles. We present hypotheses and a research agenda for examining antecedents and consequences of employee strategies for managing work and family roles.

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Crossref · 10.1108/eb022820

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Metadata

Authors
Ernst Kossek, E., Noe, R. A., & DeMarr, B. J.
Venue
International Journal of Conflict Management
Publisher
Emerald
Published
1999-02-01
Volume
10
Issue
2
Pages
102-129
ISSN
  • 1044-4068 (ISSN-L)
  • 1758-8545
OpenAlex
W1988528303
Cited by
268
References
3
FWCI
14.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: WORK-FAMILY ROLE SYNTHESIS: INDIVIDUAL AND ORGANIZATIONAL DETERMINANTS. https://app.cochat.ai/papers/10.1108/eb022820
The paper
Ernst Kossek, E., Noe, R. A., & DeMarr, B. J. (1999). WORK-FAMILY ROLE SYNTHESIS: INDIVIDUAL AND ORGANIZATIONAL DETERMINANTS. International Journal of Conflict Management. https://doi.org/10.1108/eb022820

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.