Competing pressures of risk and absorptive capacity potential on commitment and information sharing in global supply chains
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
Organizations’ competitiveness and success are no longer dependent solely on their own performance, but rather are dependent on the competitiveness of the supply chains in which they participate. Increasingly, these supply chains are globally distributed introducing the possibility of greater benefits, as well as greater risk. This study examines the countervailing impact of a global supply chain partner's business-to-business e-commerce business risk and absorptive capacity on an organization's willingness to commit to and share information with that supply chain partner. We survey 207 organizations on their perceptions of specific offshore outsourcing and supply chain partners across dimensions of risk, absorptive capacity, commitment, and information sharing. The results support the theorized relationships indicating that a supply chain partner's increased levels of perceived risk has a strong negative effect on an organization's commitment and information sharing; conjointly, increases in a supply chain partner's absorptive capacity has a strong positive effect on commitment and information sharing. For both risk and absorptive capacity, commitment partially mediates the relationship with information sharing. Testing for systemic effects from geographical/cultural location on the relationship factors provides no evidence of a regional effect on measured items.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.003 |
| 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 it