The influence of integration strategies on manufacturers’ innovative capacity: Evidence from an international survey
Bibliographic record
Abstract
Pour favoriser l’innovation, les entreprises doivent pouvoir accéder aux connaissances externes de leurs clients et les assimiler et les combiner à leurs connaissances internes. Nous nous appuyons sur la recherche sur l’ambidextrie organisationnelle pour évaluer l’impact combiné de l’intégration interne et celle de la clientèle sur la capacité d’innovation de l’entreprise. Nous explorons si les entreprises pourraient renforcer leur capacité d’innovation en renforçant leur intégration avec les clients et en améliorant simultanément l’intégration interne. En utilisant les données d’une enquête internationale auprès de 835 fabricants dans 20 pays, le potentiel d’amélioration des performances des efforts combinés sur l’intégration client et interne a été testé.
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 | 0.017 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.005 | 0.013 |
| Scholarly communication | 0.004 | 0.010 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; both teacher heads agree on what is shown here.
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".