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Record W1971679794 · doi:10.1080/09585192.2012.694109

Emotional exhaustion and job performance: the mediating role of organizational commitment

2012· article· en· W1971679794 on OpenAlexaff
Louise Tourigny, Vishwanath V. Baba, Jian Han, Xiaoyun Wang

Bibliographic record

VenueThe International Journal of Human Resource Management · 2012
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversity of ManitobaHamilton Health Sciences
Fundersnot available
KeywordsEmotional exhaustionOrganizational commitmentBusinessPsychologyJob performanceSocial psychologyPublic relationsJob satisfactionOperations managementApplied psychologyBurnoutPolitical scienceEconomicsClinical psychology

Abstract

fetched live from OpenAlex

We analyze the impact of emotional exhaustion (EE) on turnover intention, task performance and organizational citizenship behavior (OCB) among hospital nurses in China. The differential mediating effects of affective organizational commitment on the associations between EE and turnover intention, task performance and OCB were examined. Data were collected from both nurses and their supervising physicians using a questionnaire survey in Mandarin. The results revealed full mediation effect for turnover intention and for OCB directed at the organization. There was a significant indirect effect for OCB directed at individuals and no mediation effect for task performance.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations125
Published2012
Admission routes1
Has abstractyes

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