Green supply chain management and competitive advantage: The mediating role of organizational ambidexterity
Bibliographic record
Abstract
This study develops a research framework to study the impact of green supply chains with three dimensions, namely green purchasing, green manufacturing, and green marketing to achieve competitive advantage with the existence of organizational ambidexterity as a mediating variable in Jordanian industrial companies. The study targeted the most important Jordanian industrial companies, which included 46 industrial companies out of 66 companies listed on the Amman Stock Exchange. The researchers personally administered 181 questionnaires, responses were analyzed using descriptive statistics, and the appropriate statistical methods were chosen to test the hypotheses of the study and reach its results. The findings indicate that all elements of green supply chain management, namely green purchasing, green manufacturing, and green marketing had a significant impact on competitive advantage. Also, green manufacturing and green marketing had a significant effect on organizational ambidexterity, but there was no significant impact for green purchasing on organizational ambidexterity, finally, the results of the study showed that organizational ambidexterity plays a significant mediating role in the relationship between green manufacturing, green marketing, and competitive advantage.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.003 |
| 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".