Value creation and organizational design issues in agribusiness value-chains: Insights from developed and developing economies
Bibliographic record
Abstract
This article provides a selective review and discussion of empirical studies on value chains in the agri-business sector, to explore why organizational design issues appear to have dominated a focus on value creation in the literature as well as among industry stakeholders. The discussion suggests that the asymmetric distribution of gains and market power in value chains, lack of trust, lack of effective use of residual claimancy and the lack of transparent and consumer-driven quality-grading and certification institutions are some of the key factors that help to explain the lack of value-based marketing focus. Those interested in building value chains with a focus on use value in developing economies may benefit not only from controlling for market power issues in general, but more specifically from supporting innovation through strengthening absorptive capacity, by providing access to marketing institutions, and by complementing improved capital access and information exchange with value-based activities, such as standardization.
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| 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".