Impacts économiques de la certification ISO 9001 dans les PME : une revue systématique de la littérature
Bibliographic record
Abstract
L’objectif de l’article est d’analyser les impacts économiques de la certification ISO 9001 dans les PME à travers une revue systématique des principales études traitant du sujet et publiées dans des revues avec comité de lecture entre 2000 et 2018. L’analyse des 50 articles montre que la certification ISO 9001 dans les PME favorise l’amélioration de la satisfaction des clients, l’augmentation des ventes, la réduction des coûts de production et l’augmentation du chiffre d’affaires. Toutefois, les données collectées en majorité auprès des gestionnaires en charge de la gestion de la qualité tendent à produire des résultats optimistes et positifs qui ne reflètent pas la complexité des impacts de la certification ISO 9001 dans les PME. L’article suggère un renouvellement méthodologique pour analyser de façon approfondie les impacts économiques de la certification ISO dans les PME.
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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 | 0.020 | 0.050 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".