Parallèles entre l’évolution des pratiques de gestion du changement et le changement agile
Bibliographic record
Abstract
Les organisations sont confrontées à un environnement fort turbulent générant de multiples changements. Pour s’y adapter, certaines organisations visent l’agilité organisationnelle et préconisent une internalisation de la pratique de gestion du changement. De nombreux parallèles existent d’ailleurs entre l’évolution des pratiques de gestion du changement et le changement agile. Une recherche portant sur dix organisations québécoises (Beauregard, 2015) permet d’illustrer ces liens et de proposer des recommandations aux organisations. Il ressort que l’internalisation de la pratique de gestion du changement est une avenue prometteuse et que ce processus coïncide à plusieurs principes du management agile. Étant un processus généralement lent et complexe (Lemieux, 2013), l’internalisation de la pratique de gestion du changement gagnerait à inclure davantage les principes du management agile. Les organisations seraient alors en meilleure position pour entreprendre des changements agiles.
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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 | 0.011 | 0.026 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".