The job demands-resources seesaw: Dynamic interactions between task demand types and personal resources

Despite extensive research on the job demands-resources (JD-R) model, the interactions between personal resources and job demands remain insufficiently understood, particularly regarding their dual role in shaping perception and appraisal versus resource depletion. This study addresses this critical gap by exploring how mindfulness and psychological capital (PsyCap) operate within the JD-R framework. Specifically, we examined whether mindfulness and PsyCap alter individuals' perception and appraisal of job demands or, conversely, whether job demands deplete individuals' personal resources. The presented studies on employees experimentally manipulated quantitative, cognitive, and emotional demands to examine their interactions with personal resources. Testing the perception and appraisal effect in Study 1 (N = 253), self-efficacy and resilience predicted lower perceived demands and hindrance appraisals, while mindfulness predicted higher challenge appraisals and emotional demands. Testing the depleting effect in Study 2 (N = 207), quantitative and cognitive demands depleted self-efficacy, whereas emotional demands were associated with higher state mindfulness. Together, these studies reveal a complex seesaw effect, suggesting that specific demand types interact with particular resources to shape employees' work experiences. The findings highlight the need for tailored interventions that both cultivate personal resources and optimize the demand-resource balance to foster performance and well-being at work.

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Publication Details

Journal
Acta Psychologica
Published
2026-07-17
DOI
https://doi.org/10.1016/j.actpsy.2026.107474
Primary Topic
Personal Information Management and User Behavior
Type
article
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article

The job demands-resources seesaw: Dynamic interactions between task demand types and personal resources

Sebastian Moder, Marco Furtner, Alexandra Hoffmann
Acta Psychologica
Personal Information Management and User Behavior
article

The job demands-resources seesaw: Dynamic interactions between task demand types and personal resources

Sebastian Moder, Marco Furtner, Alexandra Hoffmann
article en

Abstract

Despite extensive research on the job demands-resources (JD-R) model, the interactions between personal resources and job demands remain insufficiently understood, particularly regarding their dual role in shaping perception and appraisal versus resource depletion. This study addresses this critical gap by exploring how mindfulness and psychological capital (PsyCap) operate within the JD-R framework. Specifically, we examined whether mindfulness and PsyCap alter individuals' perception and appraisal of job demands or, conversely, whether job demands deplete individuals' personal resources. The presented studies on employees experimentally manipulated quantitative, cognitive, and emotional demands to examine their interactions with personal resources. Testing the perception and appraisal effect in Study 1 (N = 253), self-efficacy and resilience predicted lower perceived demands and hindrance appraisals, while mindfulness predicted higher challenge appraisals and emotional demands. Testing the depleting effect in Study 2 (N = 207), quantitative and cognitive demands depleted self-efficacy, whereas emotional demands were associated with higher state mindfulness. Together, these studies reveal a complex seesaw effect, suggesting that specific demand types interact with particular resources to shape employees' work experiences. The findings highlight the need for tailored interventions that both cultivate personal resources and optimize the demand-resource balance to foster performance and well-being at work.

Acta PsychologicaVol. 269
University of Liechtenstein (LI), Seeburg Castle University (AT)
Decent work and economic growth
Openalex Percentile: Top 3%
Personal Information Management and User Behavior
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The job demands-resources seesaw: Dynamic interactions between task demand types and personal resources — Sebastian Moder, Marco Furtner, et al. · Acta Psychologica (2026) | TGRS Research Map | TGRS