Différencier les contributions des filiales d’une multinationale en matière d’innovation
Bibliographic record
Abstract
Le renforcement du rôle des filiales dans la stratégie d’innovation de la Firme Multinationale (FMN) est souligné par différents travaux. Nous proposons quatre idéaux types différenciés de la contributions des filiales dans cette stratégie à partir d’un cadre analytique qui prolonge celui de Bartlett et Ghoshal (1989) et de l’étude du cas d’une FMN emblématique. Parallèlement aux « grandes historiques » et aux « implémenteurs », deux nouveaux types sont mis en avant; les « accélérateurs » et les « forts potentiels » qui développent des innovations susceptibles d’être déployées dans le reste de la FMN. Le type d’innovations que chaque type de filiale serait le plus à même de développer est également précisé.
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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 | 0.008 | 0.023 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".