The Effects of the Global Financial Crisis on Supply Chain Members in Non‐BRIC Emerging Markets
Bibliographic record
Abstract
Abstract The global economic crises that began in 2008 had profound effects on the supply chains of many multinational firms across all industries including altering some fundamental supply chain characteristics. This study discusses the effects of the crises on lower‐level supply chain members in the context of the textile and garment industry in emerging markets. The fieldwork for this research and the integration of new United Nations data provide evidence for the vulnerability of those supply chain members that provide only commoditized basic services that do not depend on talent skills or resource availability. Most of these, less sophisticated supply chain members are located in non‐BRIC emerging economies, including Vietnam, Bangladesh, Pakistan, Haiti, Honduras, and so on. We present a framework that is transferable across industries. The framework is useful for managers when evaluating the feasibility and reliability of different suppliers from emerging and developing countries in particular. © 2013 Wiley Periodicals, Inc.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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".