Reconceptualizing Value Creation for Regenerative Supply Chains: The Role of Non-Traditional Actors
Bibliographic record
Abstract
Regenerative supply chains necessitate a significant change in how organizations operate at all tiers of the supply chain to effectively create value. The transition to regenerative supply chains requires the engagement a broad range of actors with strong moral commitments toward regeneration who recognize the interdependence between social, economic and ecological well-being. Traditional operations and supply chain management function with a “take-make-waste” conceptualization, which includes many assumptions about value that conflict with the principles of regeneration. We problematize the existing frames used to understand what constitutes value, and how it is created and distributed within supply chains. We reconceptualize value and propose alternative approaches to value creation and distribution in regenerative supply chains that centres non-traditional actors and recognizes the enabling force of functional social and ecological systems. In light of these reconceptualizations, we advance research principles to guide future research on regenerative value in supply chains.
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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 | 0.018 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.009 | 0.066 |
| Scholarly communication | 0.025 | 0.030 |
| Open science | 0.004 | 0.013 |
| Research integrity | 0.005 | 0.005 |
| 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".