GREEN PRODUCTS: A CROSS-CULTURAL STUDY OF ATTITUDE, INTENTION AND PURCHASE BEHAVIOR
Bibliographic record
Abstract
ABSTRACT Purpose: 1. to investigate if a difference is found between university students of both countries. 2. to provide an analysis of the attitudes, intentions, and behavior of Brazilian and Canadian university students regarding the purchase of green products. Originality/value: The relevance includes a cross-cultural study between Brazil and Canada and its possible use as a tool for educators in the Business area seeking to develop curricula that will prepare students for future roles in management. The study may also stimulate other research on green product markets. Moreover, it should be useful to managers in developing corporate environmental management systems in large and small organizations, as well as to professionals seeking to develop marketing strategies based on the behavior of their consumers. Design/methodology/approach: Data analyses were conducted using confirmatory factor analysis and structural equation modeling. Findings: The study demonstrated the positive and direct relationship between intention and behavior. The literature notes incentives and stimuli to promote purchase behavior through features, such as quality, price, and availability. These are key factors in the relationship between intention and purchase behavior.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.005 |
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".