The effect of risk on supply chain cooperation: Evidence from Vietnam agriculture
Bibliographic record
Abstract
The study aims to test the impact of risk on supply chain cooperation in the agriculture sector in Vietnam. The research paper used the quantitative research method through analysing structural equation modelling (SEM), with a dataset of 518 observations. The survey subject is the experienced and knowledgeable manager in supply chain management in the agricultural sector. The result found that risk has impacted not only directly and negatively on the supply chain cooperation but also indirectly through intermediary factors, namely commitment and the participant's opportunistic behaviour. In addition, the study has also proved that in some cases, the participant's dependency mentality in work and opportunistic behaviour lead to the opposite impact of commitment on trust and level of supply chain cooperation in agriculture. Based on this result, the study also makes recommendations to enhance the effectiveness of the supply chain cooperation in the agricultural sector in Vietnam. The findings contributed to both theory and practice. It pointed out the impact of risk on the supply chain cooperation in the agricultural sector, as well as the mediating role of commitment and opportunistic behaviour in this relationship.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".