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Nov 11, 2022 · The JD-R theory (Demerouti et al., 2001) provides a framework to understand the relationships and interactions that occur between the job and personal resources and demands in the explanation of different work outcomes, such as health, performance, or work-related subjective well-being.
The Job Demands-Resources (JD-R) theory is often used to analyze how the work environment affects well-being and performance (Bakker and Demerouti, 2017). The third point—and the one we want to emphasize—is that the quotes show that scholars connect leadership and JD-R theory in various ways.
Aug 28, 2020 · Methods: We integrate self-regulation perspectives in job demands-resources (JD-R) theory to propose that short-term job strain and eventually enduring burnout is the result of consistently high job demands and low job resources – combined with failed self-regulation.
- Arnold B. Bakker, Juriena D. de Vries
- 2021
We look back at our inaugural Annual Reviews article (Bakker et al. 2014) and highlight new empirical findings and theoretical innovations in relationship to job demands–resources (JD-R) theory. We discuss four major innovations of the past decade, namely (a) the person × situation approach of JD-R, (b) multilevel JD-R theory, (c) new ...
Sep 19, 2022 · The most widely used paradigm in occupational health and in positive psychology at the moment for examining the relationships between job characteristics and employee wellbeing is the Job Demands-Resources (JD-R) model.
Aug 17, 2016 · A number of work-related stress models have been proposed in order to explain how certain work characteristics affect mental and somatic health (Mark and Smith, 2008 ). One of them is the job demands-control model (JD-C model; Karasek, 1979; Karasek and Theorell, 1990 ).
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Nov 7, 2022 · Job Demands-Resources (JD-R) theory is widely used to explain organizational processes influencing employee health, well-being, and performance. Moreover, there is ample evidence confirming its main propositions (Bakker & Demerouti, 2017; Lesener et al., 2019).