Psychosocial safety climate as a mediator between high-performance work practices and service recovery performance: an international study in the airline industry
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".