A meta-analysis of burnout with job demands, resources, and attitudes
verifiedrich profile · Journal of Vocational Behavior · 2011
Alarcon, Gene M.
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.
emotional exhaustion → turnover intention
Models this article informs
The meta-analytic priors this article contributes evidence to — its place in the broader synthesis.
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.
supports “This exhaustion has significant negative implications, including a reduction in job satisfaction, organizational commitment, and job performance [43,44].”
supports “Job burnout is considered another important predictor of turnover intention in metaanalysis studies [44,45] Job burnout includes three key dimensions, “overwhelming exhaustion, feelings of cynicism and detachment from the job, and a sense of ineffectiveness and lack of accomplishment” [46].”
supports “The association between job satisfaction and emotional exhaustion has been confirmed in a recent meta-analysis [25].”
supports “A meta-analysis by Alarcon [32], although not specific to nurses, presents a notable correlation of ρ = 0.39 between emotional exhaustion and turnover intentions.”
supports “Prior studies demonstrated that a high level of job demands such as WFC, work overload, and time pressures promote the development of emotional exhaustion (e.g., Kloutsiniotis & Mihail, 2020), which in turn will lead to reduced job satisfaction (Alarcon, 2011; Bowling et al., 2015).”
supports “Consistent with this expectation, a meta-analytic review reported that overall work exhaustion was positively related to turnover intentions [24].”
Ancillary research
Neighbouring works in the citation graph around this article.
- 10.3390/healthcare13050552
- 10.3390/ijerph19159587
- 10.1177/00957984241284994
- 10.3390/ijerph191710674
- 10.1186/s12877-023-03829-x
- 10.1177/21582440221079880
- 10.3390/ijerph16162892
Assembled from Principia’s registry — bibliographic record, extracted effect sizes, the models they inform, and open-access citing literature.