MétaCan
Menu
Back to cohort
Record W2786312875 · doi:10.1108/pr-10-2016-0281

Psychosocial safety climate as resource passageways to alleviate work-family conflict

2018· article· en· W2786312875 on OpenAlexaff
Sari Mansour, Diane‐Gabrielle Tremblay

Bibliographic record

VenuePersonnel Review · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsWork–family conflictStructural equation modelingPsychologyPsychosocialJob strainMediationSocial psychologyWork (physics)SociologyStatisticsMathematics

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine a multidimensional mediating model of psychosocial safety climate (PSC) and work-family interference. More precisely, it tests the direct and indirect effects of PSC on work-family conflict (WFC)/family-work conflict (FWC)-time and WFC/FWC-strain via family-supportive supervisor behavior (FSSB). Design/methodology/approach The structural equation method was used to test the direct effect of PSC on WFC/FWC time and strain. As for the mediation effects, they were tested by the method of indirect effects based on a bootstrap analysis (Preacher and Hayes, 2004) based on 3,000 replications with a 95% confidence interval. The statistical treatments were carried out with the AMOS software V.22. Findings The results show that PSC is negatively and directly related to WFC-time, FWC-time, WFC-strain and FWC-strain. In addition, the bootstrap analyses indicate that PSC is related indirectly to WFC-time, FWC-time, WFC-strain and FWC-strain via FSSB. Practical implications WFC is a workplace issue that warrants intervention in order to reduce organizational costs and increase worker well-being and PSC should be considered as an appropriate target for intervention (Dollard et al. , 2012). However, although this management tool can be useful to reduce FWC, it is more appropriate to decrease WFC. Employers and HR managers not only should understand from the findings the importance of PSC, but also that all employees do not have the same problems, depending on the level of responsibilities at home, for example. Hence, they should offer the appropriate resources according to the need of workers. Indeed, the implementation of a unique work-family measure may not be appropriate for all workers, and it is important that employers and HR managers understand the details of WFC and FWC, as well as the possible effects of a series of different variables, in order to design the best work-family programs. Originality/value This research examined the effects of two new and specific resources at work, which are PSC and FSSB on WFC and FWC (time and strain), as recommended by Kossek et al. (2011). In addition, this study tested a new multidimensional mediating model which examined the mediation role of FSSB between PSC and time- and strain-based WFC and FWC. To the authors’ knowledge, this is the first study to examine these relations. Moreover, the test of the concepts of PSC in this study provides a support for the theory of conservation of resources and proposes an extension of this theory.

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)0.002
metaresearch head score (Gemma)0.004
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 score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.050
GPT teacher head0.348
Teacher spread0.298 · 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

Citations37
Published2018
Admission routes1
Has abstractyes

Explore more

Same venuePersonnel ReviewSame topicWork-Family Balance ChallengesFrench-language works237,207