Linking job demands and resources to employee engagement and burnout: A theoretical extension and meta-analytic test.

verifiedrich profile · Journal of Applied Psychology · 2010

Crawford, Eean R.; LePine, Jeffery A.; Rich, Bruce Louis

10.1037/a0019364 · CrossRef: verified · attribution required

How this was studied

paradigm: positivistpurpose: explanatory causaldesign: meta analytic synthesisidentification: nonetime: cross sectionaldata: quantitative survey

A meta-analytic synthesis — it pools many primary studies rather than running a single design, so there is no single-study diagram.

analysis: meta analysis · validity (validity): internal addressed · external unclear · construct addressed · statistical addressed · classifier confidence 0.85

What this article reports

The findings we extracted from this work, normalized into Principia’s relationship form (X → Y). Each feeds the synthesized models below.

workloadwork engagement

r = 0.13 · k=16 · grade A · unverified

job demandsburnout

r = 0.27 · k=27 · grade A · unverified

job demandswork engagement

r = -0.08 · k=43 · grade A · unverified

role conflictwork engagement

r = -0.24 · k=12 · grade A · unverified

challenge demandsburnout

r = 0.16 · k=18 · grade A · unverified

autonomywork engagement

r = 0.37 · k=32 · grade A · unverified

role overloadwork engagement

r = -0.2 · k=5 · grade B · unverified

burnoutwork engagement

r = -0.48 · k=54 · grade A · unverified

autonomywork engagement

r = 0.37 · k=32 · grade A · unverified

hindrance demandswork engagement

r = -0.19 · k=28 · grade A · unverified

challenge demandswork engagement

r = 0.16 · k=26 · grade A · unverified

task varietywork engagement

r = 0.53 · k=6 · grade B · unverified

performance feedbackwork engagement

r = 0.35 · k=19 · grade A · unverified

job resourceswork engagement

r = 0.36 · k=54 · grade A · unverified

social supportwork engagement

r = 0.33 · k=33 · grade A · unverified

job resourcesburnout

r = -0.27 · k=24 · grade A · unverified

workload wlwork engagement

r = 0.13 · k=16 · grade A · unverified

hindrance demandsburnout

r = 0.3 · k=15 · grade A · unverified

Models this article informs

The meta-analytic priors this article contributes evidence to — its place in the broader synthesis.

In the authors’ words

The article’s own abstract.

We refine and extend the job demands-resources model with theory regarding appraisal of stressors to account for inconsistencies in relationships between demands and engagement, and we test the revised theory using meta-analytic structural modeling. Results indicate support for the refined and updated theory. First, demands and burnout were positively associated, whereas resources and burnout were negatively associated. Second, whereas relationships among resources and engagement were consistently positive, relationships among demands and engagement were highly dependent on the nature of the demand. Demands that employees tend to appraise as hindrances were negatively associated with engagement, and demands that employees tend to appraise as challenges were positively associated with engagement. Implications for future research are discussed.

What the literature says about it

Attributed, open-access quotes from other works that cite this article, plus the citation-graph verdict tally. Corroborations and disputes, in one place — the honest-broker view.

61 supporting6 disputing

supportsAccording to the JD-R Model, the presence of high job demands, coupled with a lack of job resources, increases the likelihood of burnout, turnover intention, and poor job performance (Crawford et al., 2010).

Working From Home in Higher Education: A Systematic Review (2024) · CCBYND

supportsAccording to the JD-R Model, the presence of high job demands, coupled with a lack of job resources, increases the likelihood of burnout, turnover intention, and poor job performance (Crawford et al., 2010).

Working From Home in Higher Education: A Systematic Review (2024) · CCBYND

supports(cid:129) Attentiveness (Rodell & Judge, 2009; Rosen et al., 2020) (cid:129) Emotional exhaustion (Sessions et al., 2020) (cid:129) Employee creativity (Ding et al., 2019) (cid:129) Engagement (Crawford et al., 2010; Ventura et al., 2015) (cid:129) Job performance (Aw et al., 2020; Lepine et al., 2005; Lu et al., 2016; Wallace et al., 2009; Zhang et al., 2019) (cid:129) Job satisfaction (Aw et al., 2020; Cavanaugh et al., 2000; Podsakoff et al., 2007) (cid:129) Motivation (Lepine et al., 2005) (cid:129) Organisational commitment (Podsakoff et al., 2007) (cid:129) Team performance (Pearsall et al., 2009) (cid:129) Anxiety (Rodell & Judge, 2009; Rosen et al., 2020) (cid:129) Burnout (Crawford et al., 2010) (cid:129) Job performance (Rosen et al., 2020) (cid:129) Exhaustion (J. A. Lepine et al., 2005; Podsakoff et al., 2007; Zhang et al., 2014) Family related challenge stressors — — (Dickler, 2021), suggesting that family related challenge stressors, for example, taking care of children during the workday, promote telework success.

Cooking a telework theory with causal recipes: Explaining telework success with ICT, work and family related stress (2023) · CCBYNCND

Ancillary research

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