Les stratégies de coopétition comme source de tensions : le cas EADS-Thales dans l’industrie des satellites de télécommunications
Bibliographic record
Abstract
Les stratégies de coopétition combinent deux forces contradictoires : la compétition et la coopération. Ces stratégies créent des tensions fortes entre les coopétiteurs. Les tensions coopétitives sont étudiées, dans les recherches antérieures, au niveau inter-organisationnel mais pas au niveau intra-organisationnel. Afin de combler ce vide, une étude de cas approfondie est réalisée dans l’industrie des satellites de télécommunications. Un projet de satellite mené en coopétition entre EADS et Thales est analysé. Les résultats confirment l’existence de tensions au niveau inter-organisationnel et révèlent des tensions au niveau intra-organisationnel. Une typologie des différentes tensions coopétitives en fonction des niveaux d’analyse est proposée.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.007 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".