Setting Strategies outside a Typical Environmental Perspective Using ISO 14001 Certification
Bibliographic record
Abstract
Abstract The scope of this research is to evaluate whether ISO 14001 certification could be used as a strategic vehicle for achieving objectives that are not strictly linked to a technical and operative perspective, and to determine what these objectives are. In order to find these objectives, a review of the literature was first conducted to determine what they were and seven hypotheses emerged. The hypotheses concerned the possibility of using ISO 14001 as a strategy for achieving objectives related to finance and turnover, customer satisfaction, community satisfaction, employee satisfaction, health and safety in the workplace, and growth and skills of employees. The validity of each hypothesis was tested via a survey of 164 managers of European manufacturing companies. This research produced interesting findings, some of which contradicted the findings of other research, in particular for financial and turnover objectives. In addition, the research revealed interesting relationships between employees' skills and issues such as Design for the Environment and Sustainability. Furthermore, some limitations of ISO 14001 with respect to the Eco‐Management and Audit Scheme regulation emerged. Copyright © 2017 John Wiley & Sons, Ltd and ERP Environment
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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 | 0.010 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 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".