Gestion de la performance : impact sur la performance organisationnelle de l'intégration de la stratégie et de la cohérence des systèmes de GRH
Bibliographic record
Abstract
Cette étude vérifie dans quelle mesure la performance organisationnelle perçue peut être prédite par l'intégration des éléments de la stratégie (intégration stratégique verticale opérationnelle) dans les pratiques de gestion de la performance. Elle examine également si la cohérence des systèmes de gestion des ressources humaines avec la gestion de la performance est liée à une performance organisationnelle supérieure. Les résultats montrent que plus il y a intégration des éléments de la stratégie dans le système de gestion de la performance plus la compétitivité, le positionnement concurrentiel et la pérennité de l'organisation augmentent. D'autre part, les résultats indiquent que l'accroissement de la cohérence des systèmes de GRH avec le système de gestion de la performance est lié à une augmentation du positionnement concurrentiel de l'organisation.
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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 | 0.006 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
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".