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Record W3192350099 · doi:10.1080/09585192.2021.1949373

Psychosocial safety climate as a mediator between high-performance work practices and service recovery performance: an international study in the airline industry

2021· article· en· W3192350099 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe International Journal of Human Resource Management · 2021
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsUniversité TÉLUQ
Fundersnot available
KeywordsSafety climateBootstrapping (finance)MediationPsychosocialStructural equation modelingPsychologyTest (biology)Applied psychologyBusinessOperations managementPolitical scienceEconometricsEngineeringEconomicsStatisticsOccupational safety and healthMathematics

Abstract

fetched live from OpenAlex

Responding to calls for further investigation of the HRM ‘black box’, our paper examines how psychosocial safety climate (PSC), an important but understudied form of organizational climate, mediates the relationship between ability, motivation and opportunity (AMO)-enhancing HPWPs and service recovery performance (SRP). We conducted a quantitative survey amongst flight attendants in Canada, Germany and France, which yielded 1664 valid answers. Using AMOS software V.24, the structural equation method was used to test our model. The method of Monte Carlo (parametric bootstrap) and more precisely bias corrected percentile method was used to test the mediation mechanism, based on 5,000 bootstrapping and 95% confidence intervals. Our results show that each AMO-enhancing HR bundle directly influences PSC and indirectly influences SRP via PSC. They also reveal a direct relationship between PSC and SRP.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.021
Threshold uncertainty score0.636

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.026
GPT teacher head0.305
Teacher spread0.279 · 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