Purchase Intention of Organic Food; Perceived Value Overview
Bibliographic record
Abstract
Abstract: Organic food consumption among consumers is becoming popular nowadays. The attitude has emerged in today’s modern world due to the increased in awareness of the importance to maintain a healthy lifestyle by consuming foods without unsafe additives, preservatives, flavor and coloring. Organic food is produced without using most conventional pesticides; fertilizers made with synthetic ingredients or sewage sludge; bioengineering; or ionizing radiation, therefore promotes the healthy food characteristics. However, based on the reviewed of literatures, there were some inconsistencies in the previous research findings. In terms of perceived value towards organic food product, most of the research found positive and not less also discovered negative result mainly due the lack of some special value in the eyes of consumers. For instance, higher in price, not value for money, satisfied with the existing conventional food, doubts on the product guarantee and unclear declarations of the organic status. The research aims to identify the perceived value factor and its impact towards the customers ’ purchase intention in Malaysia. The findings of the study indicated that out of four factors, only perceived value and health
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".