SA Journal of Industrial Psychology (Apr 2024)

The moderating role of personality in the job strain process: A latent interaction approach

  • Jurgen R. Becker,
  • Anne Buckett,
  • Jerome Rossier,
  • Christina Györkös,
  • Koorosh Massoudi,
  • Deon De Bruin

DOI
https://doi.org/10.4102/sajip.v50i0.2040
Journal volume & issue
Vol. 50, no. 0
pp. e1 – e19

Abstract

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Orientation: Most stress models emphasise the impact of adverse work conditions on psychological strain. Despite considerable support for these additive models, the role of personal characteristics moderating the stress–strain sequence is under-researched. Research purpose: The study investigated the indirect and curvilinear effects of personal resources on the stress–strain sequence. Motivation for the study: Personal agency may play an important role in changing work conditions, through job crafting and other pro-active work activities. This study’s results may enhance popular work strain models through the incorporation of personal characteristics Research approach/design, and method: The study made use of a cross-sectional and ex post facto research design and convenience sampling of 879 South African employees across various industries and job levels. The data were collected through a quantitative survey and analysed using latent interaction analysis. Main findings: Broad support was found for the buffering role of sense of coherence on the relationship between job demands and cynicism, and between job demands and exhaustion. Practical/managerial implications: The results suggest that the existence of resource-rich environments alone may not be enough to guarantee thriving and engaged employees. The motivating potential of resources is enhanced when employees experience a certain degree of challenge in their work. Contribution/value-add: The study makes a theoretical contribution by highlighting the importance of personality traits as buffers in the stress–strain sequence. Moreover, latent interaction analysis is seldom used in structural equation modelling, despite holding numerous benefits compared to moderated regression analysis.

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