Les actions grises dans la théorie des ressources : une compétence cardinale pour la PME?
Bibliographic record
Abstract
Les actions grises constituent une pratique d’influence qui permet d’atténuer les conditions théoriques et légales de la concurrence. Elles se distinguent du concept de veille stratégique en liant information et action et demandent des ressources spécifiques. Toutefois, leur maîtrise permet-elle de fonder un avantage concurrentiel soutenable ? Nous référant au modèle des ressources et compétences, nous mettons le concept d’actions grises à l’épreuve des critères de l’avantage concurrentiel. L’étude de cinq PME, sélectionnées pour leur maîtrise des actions grises et l’impact décisif engendré, nous amène à conclure que cette compétence confère un avantage concurrentiel soutenable. Notre résultat doit cependant être nuancé. En effet, l’analyse du critère de la longévité amène à préconiser le maintien d’un système de veille traditionnel comme mode d’observation et de surveillance de l’environnement.
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 | 0.003 |
| 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 | 0.004 |
| Open science | 0.000 | 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".