The Influence of External and Internal Stakeholder Pressures on the Implementation of Upstream Environmental Supply Chain Practices
Bibliographic record
Abstract
This study examines the independent and combined influences of internal and external antecedents to upstream environmental practices. Proactive environmental strategy is considered as an internal antecedent and competitive pressure as an external antecedent. Multiple hierarchical regression analysis is used to test the hypothesized relationships using data from a sample of 149 manufacturing companies located within the U.K. food industry. The results suggest that proactive strategy and competitive pressure exert both independent and combined influences on environmental supply chain practices. Proactive strategy appears to be a stronger driver of these practices, suggesting that internal stakeholders such as directors, managers, and employees may be more influential in the adoption of certain practices than external stakeholder pressures. This article builds upon the recent wave of research highlighting the potential for internal and external factors to generate a combined influence on the adoption of environmental practices within companies and their supply chains.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".