La vision stratégique en contexte de PME : cadre théorique et étude empirique
Bibliographic record
Abstract
La vision stratégique est devenue un sujet d’importance au management stratégique. Dans sa partie théorique, cet article tente d’identifier la raison d’être de l’émergence de ce concept dans le champ de la stratégie ainsi que de proposer un cadre théorique en vue de son étude empirique. La partie empirique constitue une opérationalisation du concept de division, selon une perspective stratégique; en termes d’intentions, d’actions et d’impacts stratégiques spécifiques à une entreprise, tel que perçus par des décideurs de PME. Les données empiriques ont été obtenues par entrevues sur le terrain auprès d’un échantillon de 30 propriétaires dirigeants. Les résultats montrent comment la vision peut être utilisée comme outil de prospective dans l’analyse des niches au sein d’un même secteur industriel.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.018 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".