Capacidades de innovación, desempeño innovador y desempeño organizacional en empresas del sector servicios
Bibliographic record
Abstract
El objetivo del artículo es analizar la incidencia de las capacidades de innovación (CI) sobre el desempeño innovador (DI), y de este último sobre el desempeño organizacional (DO). Las CI se abordan desde la perspectiva de la innovación en servicios, el DI desde el lanzamiento de productos, y el DO se divide en financiero y no financiero. En la metodología, se utilizaron ecuaciones estructurales. Los resultados muestran que sólo las CI con orientación al cliente y al marketing influyen sobre el DI y éste a su vez lo hace sobre el DO, aunque en mayor proporción sobre lo no financiero. En conclusión, estos hallazgos contrastan con estudios realizados en empresas manufactureras, en los que resultan más importantes las CI tecnológicas.
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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 | 0.009 | 0.030 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".