Vers une politique de prix exploitant la valeur perçue et maximisant l’avantage concurrentiel, la part du marché et la valeur ajoutée1
Bibliographic record
Abstract
Cet article propose une politique de prix sous forme de propositions formelles, basées sur un développement mathématique, permettant à l’entreprise de maximiser sa valeur ajoutée, l’avantage concurrentiel perçu par le client ainsi que sa part de marché. Le cadre d’analyse est tout produit pour lequel le client est en mesure d’estimer une valeur en fonction de ses besoins propres et d’un ensemble d’attributs confrontés aux attributs des produits concurrents ou substituts. La conclusion est : pour maximiser en même temps la valeur ajoutée dégagée par l’entreprise, sa part du marché et son avantage concurrentiel perçu, il faut partager avec le client l’avantage concurrentiel potentiel. Le mode du partage dépend de la nature de la courbe de demande de l’article et de l’agressivité de la concurrence.
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 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 | 0.007 | 0.020 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.008 | 0.011 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".