L’impact des motivations des parents sur la performance des coentreprises internationales implantées en Turquie
Bibliographic record
Abstract
L’objectif de cet article est d’étudier, d’une part, les motivations des partenaires des coentreprises internationales entre les pays émergents et les pays développés et, d’autre part, l’impact de ces motivations sur la performance de l’entité commune. L’analyse de 123 coentreprises internationales en Turquie montre que les motivations des partenaires sont complémentaires. Les parents turcs souhaitent partager les frais de recherche et de développement, maîtriser une nouvelle technologie et obtenir de nouvelles ressources. Les partenaires étrangers sont davantage motivés par la diversification et l’expansion de leur firme, l’accès à de nouveaux marchés et la compatibilité des attentes avec leur partenaire local.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 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".