PME et firmes multinationales : performance des alliances asymétriques
Bibliographic record
Abstract
L’objet de cet article est d’analyser les effets des asymétries existant entre les PME et les multinationales sur la performance de leurs relations d’alliance. Dans cette perspective, les asymétries ont été définies en termes de taille, de culture organisationnelle, de ressources et compétences et d’expériences dans de telles alliances. Les effets de ces asymétries sont analysés qualitativement du point de vue de dix PME françaises de l’industrie aéronautique. Deux résultats principaux découlent de cette étude. Premièrement, certaines asymétries (taille, culture organisationnelle et expériences d’alliances) peuvent être à l’origine de difficultés relationnelles entre les partenaires. Cela dit, malgré les asymétries entre les partenaires, ces alliances génèrent des résultats positifs (performance financière et apprentissage organisationnel) grâce à la complémentarité entre les ressources apportées par les PME et des multinationales impliquées.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.005 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.003 |
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; both teacher heads agree on what is shown here.
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".