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Record W2891196644 · doi:10.1108/ijwhm-01-2018-0009

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2018· article· en· W2891196644 on OpenAlexaffabout
Caroline Biron, Annick Parent‐Lamarche, Hans Ivers, Geneviève Baril-Gingras

Bibliographic record

VenueInternational Journal of Workplace Health Management · 2018
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMediationQuality (philosophy)PsychosocialPsychologyPsychological interventionWorkloadStructural equation modelingControl (management)Organisation climateSocial psychologyApplied psychologyManagementSociologyEconomicsComputer science

Abstract

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Purpose The purpose of this paper is to uncover the effect of psychosocial safety climate (PSC – a climate for psychological health) on managerial quality and the mediating processes explaining that association. It is posited that the alignment between what is said (espoused PSC) and what is done (enacted PSC via managerial quality) is important for successful organizational interventions. Managers’ own psychosocial work factors act as resources to facilitate the enactment of managerial quality. Design/methodology/approach Two waves of survey were administered over a three-month period ( n at Time 1=144, n at Time 2=166, overall n =115) in a study of four organizations involved in implementing the Quebec Healthy Enterprise Standard (QHES). A cross-lagged panel analysis was used to determine the temporal direction of the PSC–managerial quality relationship. A longitudinal mediation model of PSC as a determinant of managerial quality was tested using job demands, job control, social support and quality of relationships with subordinates as mediators. Findings The cross-lagged panel analysis showed that PSC is temporally prior to managerial quality in that the relationship between PSC at T1 and managerial quality at T2 was stronger than the relationship between managerial quality at T1 and PSC at T2. A two-wave mediation analysis showed that PSC was positively associated with managerial quality, and that job control partially mediated this relationship. Contrary to expectations, managers’ workload, their social support and the quality of their relationships with subordinates did not mediate the PSC–managerial quality relationship. Research limitations/implications Despite the small sample size and short timeframe of this study, it contributes to knowledge on the resources facilitating managerial quality, which is important for employees’ psychological health. Little is known regarding the mediating processes that explain how managers’ own context and psychosocial work factors affect their management practices during organizational health interventions. Practical implications From a practical view point, this study contributes to the literature showing that managers need to be supported during the implementation of health interventions, and need the leeway to pursue the organization’s prevention objectives. Originality/value Whereas previous studies have focused on describing the impact of leadership behaviors on employee health outcomes, the study offers insights into the resources that help managers translate PSC into action in the implementation of a national standard, the QHES.

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 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)0.004
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.823
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.064
GPT teacher head0.514
Teacher spread0.450 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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

Citations35
Published2018
Admission routes2
Has abstractyes

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