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

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Version 2 2024-10-30, 14:57
Version 1 2024-06-21, 10:05
journal contribution
posted on 2024-10-30, 14:57 authored by George Michaelides, Karen NivenKaren Niven, Stephen Wood, Ilke Inceoglu

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.

Funding

Impact Acceleration Account 2019: Leicester

Economic and Social Research Council

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History

Author affiliation

College of Social Sci Arts and Humanities School of Business

Version

  • VoR (Version of Record)

Published in

Journal of Occupational and Organizational Psychology

Publisher

Wiley

issn

0963-1798

eissn

2044-8325

Copyright date

2024

Available date

2024-10-30

Language

en

Deposited by

Professor Stephen Wood

Deposit date

2024-06-18

Data Access Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.