PLANT‐LEVEL ENVIRONMENTAL MANAGEMENT ORIENTATION: THE INFLUENCE OF MANAGEMENT VIEWS AND PLANT CHARACTERISTICS
Bibliographic record
Abstract
As customers, the public and other stakeholders are increasingly demanding that manufacturing firms improve their approach to environmental management, some plants have moved to develop an orientation that is increasingly proactive. Synthesizing earlier research, environmental management orientation is defined here to include system analysis and planning, organizational responsibility, and management controls. The relationship between a proactive orientation and two sets of internal factors, specifically the personal views of plant managers and plant‐specific characteristics, was tested using survey data from the furniture industry. The production outlook for the plant was critical, with a favorable outlook fostering a more proactive environmental management orientation. After controlling for plant‐specific factors, personal views also were influential; an increasing emphasis on short‐term economic value was related to a more reactive plant‐level orientation. Thus senior corporate management can foster strong plant‐level environmental management through a more balanced emphasis on economic and ethical values and continued investment in a plant's long‐term viability.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".