Making big data analytics perform: the mediating effect of big data analytics dependent organizational agility
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Bien que le big data analytics (BDA) ait fortement cristallisé l’attention des spécialistes et des praticiens, il est encore difficile de bien cerner la façon dont les organisations peuvent mobiliser et gérer efficacement cet outil. En se fondant sur des travaux réalisés sur le big data analytics et l’agilité organisationnelle, la présente étude explore l’impact de la capacité du BDA sur la performance des entreprises ainsi que l’effet d’intermédiation de l’agilité organisationnelle sur cette relation. Des données collectées auprès de 202 entreprises américaines ont servi à tester le modèle proposé en recourant à l’approche PLS. Les résultats obtenus soutiennent le modèle de recherche choisi et confirment que l’agilité organisationnelle contribue fortement à attirer des investissements dans le BDA en vue de créer une valeur commerciale stratégique et améliorer la performance des entreprises.
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.
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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.008 |
| Open science | 0.005 | 0.009 |
| Research integrity | 0.000 | 0.000 |
| 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 it