A dual-process model of the effects of boundary segmentation on work–nonwork conflict

Michaelides, George ORCID: https://orcid.org/0000-0002-4224-7728, Niven, Karen, Wood, Stephen and Inceoglu, Ilke (2024) A dual-process model of the effects of boundary segmentation on work–nonwork conflict. Journal of Occupational and Organizational Psychology. ISSN 0963-1798

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Abstract

Segmentation of work from nonwork life is widely presented as desirable to maximize recovery from work. Yet it involves effort which may reduce its positive effects. We present a dual-process model of segmentation based on integrating boundary theory and self-regulation theory that shows how creating and maintaining boundaries can have both positive and negative effects. Segmentation allows individuals not only to psychological detach from work, thereby reducing work–nonwork conflict, but can also deplete an individual's momentary capacity for state self-control, increasing work–nonwork conflict. We tested our model with two studies: a weekly diary study with a sample of 436 individuals and a daily diary study with data collected at two time points each day from 162 participants. Using a Bayesian approach, we find some support for our hypothesized dual pathways. In both studies, psychological detachment mediated a negative relationship between segmentation and work–nonwork conflict. In the daily study, self-control capacity mediated a positive relationship between segmentation and work–nonwork conflict, but this effect was present only when individuals worked onsite and not when working at home. This article contributes towards understanding the mechanisms explaining the relationship between segmentation and work–nonwork conflict and underscores the importance of self-regulation in this process.

Item Type: Article
Additional Information: Author acknowledgements: The data used in this article are from a survey designed and executed by a research team led by Stephen Wood including Kevin Daniels and George Michaelides (both University of East Anglia), Elizabeth Hurren (University of Leicester), Ilke Inceoglu (University of Exeter) and Karen Niven (University of Sheffield). We thank Kevin Daniels and Elizabeth Hurren for their contribution to the data collection and project design elements of the study. The project was in part supported by a grant from the University of Leicester's ESRC Impact Acceleration Account (grant ref: ES/T501967/1).
Uncontrolled Keywords: work–nonwork conflict,work and family,segmentation,state self-control,self-regulation,pyschological detachment,boundary theory,bayesian analysis,psychological detachment,applied psychology,organizational behavior and human resource management ,/dk/atira/pure/subjectarea/asjc/3200/3202
Faculty \ School: Faculty of Social Sciences > Norwich Business School
UEA Research Groups: Faculty of Social Sciences > Research Groups > Employment Systems and Institutions
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Depositing User: LivePure Connector
Date Deposited: 13 Jun 2024 13:30
Last Modified: 16 Jul 2024 15:32
URI: https://ueaeprints.uea.ac.uk/id/eprint/95599
DOI: 10.1111/joop.12526

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