Adoption and Outcomes of ISO 14001: A Systematic Review
Bibliographic record
Abstract
Abstract The objective of this paper is to analyze the adoption and outcomes of the ISO 14001 standard through a systematic review of the main studies on this issue published in peer‐reviewed journals between 1996 and 2015. The 94 papers analyzed make it possible to paint a comprehensive picture of the effectiveness of ISO 14001 in environmental management practices, performance in this area and social aspects such as employee awareness. The systematic review also sheds more light on the main pitfalls and success factors of the standard. Nevertheless, the similarities and even redundancies of the literature in terms of objectives, approaches and methods used tend to produce quite predictable and optimistic results, which do not reflect the complexity of the impact of ISO 14001. The paper highlights the importance of more diverse and critical approaches that might challenge the successful rhetoric of the dominant literature, which tends to focus on positive aspects and be limited to a few countries that are not representative of the wide international distribution of certification. The findings of this systematic review can also help managers in making decisions on the adoption and renewal of certification.
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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 | 0.037 | 0.125 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.005 |
| Bibliometrics | 0.016 | 0.015 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".