The effect of green supply chain practices on firm sustainability performance: Evidence from Pakistan
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Environmental issues are most important among the current global concerns, and business activities are seen as a cause of significant threat to the environment due to environmentally non-friendly practices by various industries that cause pollution. However, the implementation of green supply chain management (GSCM) practices in developing countries like Pakistan is still inconclusive. The purpose of this paper is to investigate the impact of GSCM dimensions on economic, environmental, and social performance. The five dimensions covered in this research are green purchasing, green manufacturing and remanufacturing, environmental education, internal environmental management, and investment recovery. A survey questionnaire was prepared that consists of green practices as well as a performance indicator. Factor analysis maximum likelihood method was used to examine the survey data of Pakistani organizations. The results of this study indicate that GSCM practices have a positive impact on environmental, economic, and social performance. This research shows organizations are aware of improving their performance while adopting green supply chain practices.
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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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it