Regards croisés sur l’agilité et l’innovation ouverte pour les PME de haute technologie
Bibliographic record
Abstract
Cet article se propose d’étudier la relation entre l’agilité et l’innovation ouverte au sein des PME de haute technologie. À visée exploratoire, il s’appuie sur l’étude de cas d’une PME spécialisée dans l’ingénierie, le conseil en informatique et l’innovation technologique. Nos résultats mettent en évidence une interconnexion dynamique entre les deux approches de l’agilité et de l’innovation ouverte, offrant une compréhension approfondie de leur influence mutuelle dans ce contexte. Ainsi, nous démontrons que les capacités de l’agilité peuvent stimuler et soutenir les pratiques d’innovation entrante et sortante, tout en soulignant que l’innovation ouverte contribue à les favoriser. Cependant, il est important de noter que ces capacités ne suffisent pas à surmonter toutes les barrières auxquelles la PME est confrontée dans le domaine de l’innovation ouverte.
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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 | 0.002 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".