This paper analyses the situation when employees fail to adapt to overall job dissatisfaction. By combining the existing knowledge in economics on job lock and in psychology on employees’ feeling of being ‘stuck’ at work, the paper explains why some employees fail to adapt when dissatisfied with their job. Thus, the paper aims to expand our understanding of why some employees are job locked or are ‘stuck’ at their work even though dissatisfied. Using the British household panel survey, the possibility of falling in a job-lock state is analyzed to outline a set of factors that explain why employees differ in the way they adjust to job dissatisfaction. We divide these factors into socio-demographic features, personality attributes, type of occupation, employment conditions, type of sector, and work-related contextual features. Based on results of probit regression analysis, we provide evidence that all these group of factors can jointly predict the state of job dissatisfaction, the absence of job turnover and job lock (being ‘stuck’ at job). Moreover, our results suggest that the adaptation to job dissatisfaction could be better understood if personality attributes (such as self-esteem) are included in the analysis. Thus, this study expands our understanding of how and why employees might feel ‘stuck’ at work and fall in a state of job lock.
Previous studies have paid little attention to the employees' ability to exit a job-lock situation and factors that determine this ability. It remains unclear why some employees who experience job lock are able to exit this state while others remain in job lock. We use longitudinal data to identify employees who have fallen in the state of job lock and their subsequent behavior—exiting or remaining in job lock. By use of a first-order Markov transition models, we analyze the relevance of sociodemographic features, employment, occupational, sectoral, and contextual factors, as well as personality characteristics in explaining the transition or its absence. Overall the results show that both demographic factors and work-related aspects increase the likelihood that an employee enters the long-term job lock state (especially for older, married, full-time employed, those in a craft occupation and governmental sector, and in a region with high unemployment). Mental health problems and personality characteristics (low peak-end self-esteem and decisional procrastination) have a significant effect on the probability to stay in long-term job lock. On the contrary, having a managerial, service, or associate occupation, working in the private sector, and having promotion opportunities increase the chance of an exit from the state of job lock.
The paper analyses whether people with low self-esteem are more likely to become unemployed than those with high self-esteem, and whether gender plays a moderating role in the relationship between self-esteem and becoming unemployed. The outcomes of a piecewise constant exponential model confirms our assumptions. Low self-esteem is highly significant in predicting the probability of becoming unemployed for women but not for men. However, low self-esteem has an effect on the chance of becoming unemployed regardless of gender for people in higher skills occupations.
People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User Agreement:
published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the "Taverne" license above, please follow below link for the End User
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.