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Record W2730832254 · doi:10.1108/pr-05-2015-0130

Work intensity, emotional exhaustion and life satisfaction

2017· article· en· W2730832254 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePersonnel Review · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsYork University
Fundersnot available
KeywordsPsychologyEmotional exhaustionMediationMultilevel modelWork IntensityWork (physics)Life satisfactionSocial psychologyApplied psychologyJob satisfactionOriginalityWell-beingModerated mediationBurnoutClinical psychologyComputer sciencePsychotherapist

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine a moderated mediation model that investigated the moderating role of psychological detachment in the relationship between work intensity and life satisfaction via emotional exhaustion. Design/methodology/approach Data were collected from 149 hospital-based nurses who completed a questionnaire about working conditions and individual outcomes. The data were analyzed using hierarchical moderated regression and bootstrapping techniques. Findings The results confirm that work intensity is negatively related to life satisfaction via emotional exhaustion. The results also demonstrate that psychological detachment diminishes the negative influence of emotional exhaustion on life satisfaction. The conditional indirect effect model shows that the indirect relationship between work intensity and life satisfaction is strongest at low psychological detachment. Research limitations/implications This research advances our understanding of the negative work and non-work implications associated with work intensity. The key limitation of this research was the cross-sectional data set. HRM researchers should seek to replicate and expand the results with multi-wave data to extend our understanding of the implications of work intensity. Practical implications HRM practitioners need to begin implementing measures to address work intensity in order to thwart its negative effects. HRM practitioners need to implement policies and procedures that limit the intensity of work demands to promote positive employee work and non-work outcomes. Originality/value This is the first study to show that work intensity can influence life satisfaction through emotional exhaustion. Contrary to most recovery research, this research is also among the first to focus on the moderating role of psychological detachment, especially within a conditional indirect effect model.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.271
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it