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Does psychological detachment benefit job seekers? A two study weekly investigation.

Authors: Rebecca L. MacGowan; Allison S. Gabriel; Serge P. da Motta Veiga; Nitya Chawla;

Does psychological detachment benefit job seekers? A two study weekly investigation.

Abstract

On a weekly basis, job seekers need to exert effort to successfully navigate their search. Yet, despite the notion that job seeking is likely depleting, there has been little research and discussion to date surrounding whether taking time to recover from job seeking can be restorative and helpful for job seekers. Applying theory from the effort-recovery model (Meijman & Mulder, 1998) and the stressor-detachment model (Sonnentag & Fritz, 2015) to the job search context, we highlight the self-regulatory and job search-related benefits associated with psychologically detaching from the job search each week. Specifically, we theorize that weekly psychological detachment from the job search (at t) helps job seekers feel recovered (at t) and, in turn, more vigorous (at t + 1), prompting subsequent job search effort (at t + 1); further, weekly job search effort is expected to engender an increase in subsequent interviews (at t + 2). We also explore the cross-level moderating effect of implicit theories of depletion, considering whether the beneficial impact of weekly psychological detachment is contingent on how depleting job seekers perceive the search process to be. We tested our model with two weekly experience sampling studies of over 200 new labor market entrants. Across both studies, we found considerable support for our model, suggesting that taking time to psychologically detach from the job search can help job seekers maintain their well-being and obtain job search success. (PsycInfo Database Record (c) 2022 APA, all rights reserved).

Related Organizations
Keywords

Job Application, Humans

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
9
Top 10%
Average
Top 10%
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