Asymétries entre partenaires et confiance : le cas des alliances stratégiques entre PME et multinationales
Bibliographic record
Abstract
Cet article a pour objectif d’analyser les effets des asymétries interorganisationnelles sur la confiance dans le cadre d’alliances stratégiques entre PME et firmes multinationales (FMN). La plupart des auteurs avancent que l’existence de dissimilarités entre les partenaires d’une alliance ne favorise pas le développement de la confiance entre eux. Dans le cadre de cette contribution, les effets des asymétries sur la confiance ont été analysés à partir d’une étude qualitative de dix cas d’alliances entre PME françaises dans l’industrie aéronautique et géants du secteur. Il en ressort que malgré les asymétries, la confiance peut se développer entre les partenaires si des dispositions sont prises par ces derniers pour favoriser la coopération.
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 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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.008 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".