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Employed today, unemployed tomorrow!: Is personality characteristics associated with quantitative job insecurity among Swedish employees?
University of Gävle, Faculty of Health and Occupational Studies, Department of Occupational Health Science and Psychology.
2023 (English)Independent thesis Advanced level (degree of Master (One Year)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

The study aimed to investigate if personality characteristics were associated with quantitative job insecurity among Swedish employees. This study implemented a cross-sectional design and a total of 157 employees participated in the study. Participants filled in an electronic survey consisting of 27 questions and the collected data was analyzed through one unadjusted and one adjusted regression analysis. The unadjusted regression analysis showed that personality characteristics were negatively associated with quantitative job inecurity, and the explained variance for personality characteristics on quantitative job insecurity was 14%. The results from the adjusted regression model showed that employment contract was positively, and personality characteristics were negatively associated with quantitative job insecurity, while seniority and qualitative job insecurity were not associated with quantitative job insecurity. Meaning that people with high values on personality characteristics and permanent employees were least affected by quantitative job insecurity. In total, employment contract, seniority, personality characteristics and qualitative job insecurity could explain 25% of the variance of quantitative job insecurity. Job insecurity is detrimental to both the individual and the organization and a strategy to counteract the experience of job insecurity might be to develop personality characteristics among employees. 

Place, publisher, year, edition, pages
2023. , p. 47
Keywords [en]
Quantitative job insecurity, Qualitative job insecurity, Personality characteristics, Employment contract, Employees
National Category
Other Health Sciences
Identifiers
URN: urn:nbn:se:hig:diva-41964OAI: oai:DiVA.org:hig-41964DiVA, id: diva2:1763309
Subject / course
Arbetshälsovetenskap
Educational program
Master programme in Health at work
Presentation
2023-05-31, 10:30 (English)
Supervisors
Examiners
Available from: 2023-06-13 Created: 2023-06-07 Last updated: 2023-06-13Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard-cite-them-right
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • sv-SE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • de-DE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf