Consolidating sustainability efforts: The role of effective supply chain management in balancing economic growth, environmental stewardship, and social responsibility
Bibliographic record
Abstract
This study explores the relationship between supply chain practices and sustainability efforts, with the understanding that logistics strategies can have profound impacts on economic growth, society, and environmental conservation. The primary objective of the research is to identify ways in which organizations can improve their supply chains to achieve more favorable sustainability outcomes by examining the relationship between the supply chain and sustainability performance. Data was collected through a questionnaire designed and distributed to 43 companies in the basic materials sector in the Kingdom of Saudi Arabia. The questionnaire data were analyzed using SPSS and Smartpls. The results indicate that supply chains in the basic materials sector in the Kingdom are operating effectively and positively, impacting the promotion of economic, social, and environmental sustainability. The insights from this study can help advance the understanding of how supply chains can drive sustainability improvements while developing a more robust economic framework for sustainability and resource management for stakeholders.
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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 | 0.004 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".