Le pilotage de la performance dans les PME en France : une comparaison des pratiques de tableaux de bord des organisations familiales et des filiales
Bibliographic record
Abstract
À partir des résultats d’une recherche empirique basée sur une enquête quantitative réalisée auprès de 83 entreprises et six études de cas, l’article analyse les caractéristiques des tableaux de bord implantés dans les petites et moyennes entreprises et montre qu’il existe des différences significatives entre les pratiques des entreprises familiales et celles des filiales de groupe. Dans les organisations familiales, les tableaux de bord sont plutôt centralisés, axés sur la performance financière ; ils s’intègrent dans un dispositif de contrôle organisationnel privilégiant l’informel. Dans les filiales, par contre, les tableaux de bord sont plus sophistiqués et plus décentralisés ; ils incorporent des indicateurs non financiers. Cela leur permet d’évaluer la performance sous une forme plus globale et d’être des outils de pilotage au service de la mise en œuvre de la stratégie.
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 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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| 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".