Selenko_Manuscript with author details.pdf (447.82 kB)
Work in times of Brexit: Explanatory mechanisms linking macropolitical events with employee well-being
journal contribution
posted on 2021-12-20, 13:43 authored by Miriam Schilbach, Eva SelenkoEva Selenko, Anja Baethge, Thomas RigottiWith this study, we examine work-related phenomena that may convey the relationship
between a macropolitical event (i.e., Brexit) and personal well-being in a sample of UK based
academics. Drawing on transactional stress theory, we propose an appraisal-based mediation
model. Specifically, we argue that cognitive appraisal of Brexit relates to job (in)security and
the relationship quality with coworkers which represent indicators of the fundamental human
needs for safety and belonging and thus, relate to personal well-being. We conducted a threewave panel study, the final sample consisted of 115 individuals, and we used Bayesian path
analysis to test the presumed hypotheses. Results revealed that academics in this sample
predominantly appraised Brexit as threatening and less as challenging. As expected, threat
appraisal related to more qualitative job insecurity and worse well-being. Further, deviating
from communal appraisal (i.e., appraising Brexit as challenging) related to deteriorating
relationship quality and lower well-being. Our findings illustrate the relevance of an
appraisal-based perspective when researching controversial shared events. They further
outline that cognitive appraisal likely occurs in a social context whereby challenge appraisal
may entail a dark side when it indicates a deviation from peers’ norms.
History
School
- Business and Economics
Department
- Business
Published in
European Journal of Work and Organizational PsychologyVolume
31Issue
5Pages
655-666Publisher
Taylor & Francis (Routledge)Version
- AM (Accepted Manuscript)
Rights holder
© Taylor and FrancisPublisher statement
This is an Accepted Manuscript of an article published by Taylor & Francis in European Journal of Work and Organizational Psychology on 05 Jan 2022, available online: https://doi.org/10.1080/1359432X.2021.2019709Acceptance date
2021-12-13Publication date
2022-01-05Copyright date
2022ISSN
1359-432XeISSN
1464-0643Publisher version
Language
- en
Depositor
Dr Eva Selenko. Deposit date: 17 December 2021Usage metrics
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