Les modèles intégrés de la décision d'exporter en PME/PMI : synthèse des recherches depuis 20 ans
Bibliographic record
Abstract
L’objectif de cet article est d’établir une synthèse des recherches portant sur les modèles intégrés de la décision d’exporter. Nous soulignerons les composantes principales de ces modèles (le niveau incitatif: stimuli et variables exogènes; le niveau décisionnel : la prise de conscience, l’intérêt, l’intention, l’essai, la décision; le niveau comportemental : l’attitude managériale), pour ensuite dégager les constantes et les points de divergences. Enfin, nous mettrons en valeur les implications managériales qui découlent de ces études, avant de conclure en présentant les voies de recherche à travailler.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".