Supply chain competency: learning as a key component
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
Supply chain management has received in recent years a great deal of attention by practitioners and academics alike. The benefits that accrue to firms that effectively manage their supply chain partners range from lower costs to higher return on investment (ROI), to higher returns to stockholders. Yet, effective management of one’s supply chain is not easily accomplished. In this paper, we develop this capability as a core skill that will ultimately separate the winners from the losers. We develop the concept of supply chain competence and use learning as a proxy. We explore the pre‐conditions for learning to emerge and the impact of learning on supply chain performance. A number of factors that affect partner‐like behavior also affect learning. Also, learning appears to have a positive impact on performance measures relating to end‐customer satisfaction and being a more market‐focused supply chain. Learning does not appear to affect supply chain performance related to cost.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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