A SIMULATION FOR UNDERSTANDING THE ROLE OF INFORMATION SYSTEMS AND INFORMATION QUALITY IN THE MOVE TOWARDS A GREEN SUPPLY CHAIN
Bibliographic record
Abstract
This research in progress aims at investigating the role that information system (IS) and information quality (IQ) can play for the transformation of a Supply Chain. A case study was conducted to identify the supply chain evolution of a major French retailer that initiated consolidation centres for shared deliveries between several small suppliers to its warehouses. This initiative aims at developing just-in-time delivery for economic benefits and the retailer explains that this evolution meets environmental benefits through CO2 reduction. However, the promised benefits for suppliers depend upon the development of information sharing and information quality and they have the choice to adopt the ?green supply chain? or to continue delivering directly without using the consolidation centers. Therefore this paper presents the simulation of the research that is currently being performed in order to identify the necessary conditions for the benefits realization. For future research, we propose a multi-agent based modelling for understanding how IS and IQ are pushing towards the adoption of a green supply chain.
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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 | 0.012 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.018 |
| 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".