Bibliographic record
Abstract
Cette étude explore la relation entre la capacité de l'entrepreneur fondateur et l'utilisation stratégique des technologies de l'information (TI) par les PME. Une triangulation des résultats basés sur sept études de cas au Canada, France, Allemagne, Italie, Espagne, Royaume-Uni et États-Unis couplée à une enquête montre que les motivations personnelles et les compétences de l'entrepreneur sont des phénomènes importants dans les entrepreneuriales et leur développement. En outre, une expérience professionnelle préalable et la capacité des entrepreneurs à "agir en pensant " et à s'adapter aux changements de l'état du marché sont des phénomènes explicatifs. L'étude propose l'existence d'un " état d'esprit numérique " et d'une " formule gagnante " qui repose sur une combinaison d'orientation client, de création d'une culture d'entreprise innovante et de compétences entrepreneuriales pour connecter, relier et optimiser les ressources disponibles dans la chaîne de valeur.
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 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 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".