Evaluation of Maturity Level of QSE Management Systems: Empirical Analysis, Case of Moroccan Companies
Bibliographic record
Abstract
Nowadays, the adoption of management systems dedicated to quality, environment and safety in company have become real issues, a competitive argument. They also have a reputation and international recognition. For some companies, they become like a prerequisite for their proper development.The aims of this paper is to understand how the Moroccan organizations who have an Integrated Management System integrate their management systems and the way that they perceive the challenges of managing several management systems in parallel over time. According to a survey carried out with thirty four Moroccan firms, we analyze empirically the implementation of different MSs such as: ISO 9001, ISO 14001 and OHSAS 18001. Specially, we evaluate the integration levels of different management systems elements such as humans and documentation resources, objectives, procedures and audit. We analyze also the perceptions of companies about the advantages and the challenges encountered into the integration of Management Systems in organizations with more than one Management system.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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".