Organizational Buyer Behavior of Caribbean Food and Beverage Importers
Bibliographic record
Abstract
Abstract This paper examines the behavior of Caribbean importers with respect to the purchase of branded food and beverage products manufactured in the Canadian province of Ontario. The determinants of the import purchase decision are identified, and the import response of buyers to changes in the importance rating of key purchase criteria is quantified. The study is based on personal interviews with forty-eight Caribbean food and beverage purchasing executives. The results indicate that price and requests from local customers are the most important decision criteria used by Caribbean importers. Also, firms with a recent history of importing Ontario food and beverage products place a higher level of importance on brand image and package design. A one-unit decrease in the importance rating of the packaging design variable was found to increase the odds of a firm importing from Ontario by thirty percent. Key Words: Importsbuyer behaviorpurchase decisionCaribbeanfood and beverage
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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 | 0.000 |
| 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 | 0.000 |
| 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".