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Record W2947895050 · doi:10.1108/pr-04-2018-0127

Job demand and employee well-being

2019· article· en· W2947895050 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 · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsBrock University
Fundersnot available
KeywordsEmotional exhaustionPsychologyModerated mediationMediationJob satisfactionWorkloadConservation of resources theorySocial psychologySample (material)Extant taxonEmotional laborService (business)BurnoutJob performanceApplied psychologyBusinessMarketingManagementClinical psychologySociologyEconomics

Abstract

fetched live from OpenAlex

Purpose The extant research on emotional labor (EL) has focused on positive and negative outcomes observed in the workplace; however, many fundamental questions remain unanswered. The research has yet to consider what factors buffer the negative outcomes of EL. The purpose of this paper is to investigate the relationship between workload job demand and employee well-being with mediating effects of surface acting (SA) and moderating effects of emotional intelligence (EI) in service organizations. Design/methodology/approach The authors used two wave data from a sample of 207 emergency medical technicians to test the hypotheses. Findings By integrating SA, EI and employee well-being with the conservation of resource theory, the authors found evidence of an indirect effect of workload job demand on emotional exhaustion and job satisfaction via SA. The results of moderated mediation show that the negative relationship between SA and job satisfaction was low when EI was high and the positive relationship between SA and emotional exhaustion was low when EI was high. Research limitations/implications A major limitation of the present study is that all the participants were male and drawn from a single profession within the same organization. Another limitation is that the data were collected through self-reports. Practical implications This research has important theoretical and practical implications for service organizations wishing to buffer the harmful effects of SA on employees. This study presents key theoretical implications for the EL and well-being literatures. An important practical implication is that EI is a good resource for managing SA’s negative outcomes. Originality/value The current study contributes to the extant research by showing that workload job demands have negative effects on employee well-being via SA resulting in reduced job satisfaction and increased emotional exhaustion. Further, the negative outcomes of SA on employee well-being can be buffered through EI by taking EI as an emotional resource. High level of EI helps employees to mitigate the harmful effects of SA.

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)0.001
metaresearch head score (Gemma)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.905
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.022
GPT teacher head0.336
Teacher spread0.314 · 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