De la mise en oeuvre d’un ERP aux prismes des situations extrêmes et de la théorie de la structuration : une étude de cas dans une industrie pétrolière
Bibliographic record
Abstract
La mise en oeuvre d’un ERP est appréhendée comme une situation extrême, car elle cumule de la rupture, de l’incertitude et du risque. Nous abordons cette question dans le cadre du courant structurationniste, en mobilisant le modèle de Giddens. Nous introduisons l’outil technique comme un facilitateur en tant que ressource artefactuelle, dans le registre de la domination. A partir d’une étude de cas, nous montrons que ce modèle est pertinent pour rendre compte des blocages en matière d’appropriation d’un ERP, mais inadapté pour rendre compte de l’apprentissage des acteurs, dans un contexte où la dimension informelle prend une place importante.
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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 | 0.007 | 0.013 |
| 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 | 0.010 |
| Scholarly communication | 0.010 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".