Values, socially conscious behaviour and consumption emotions as predictors of Canadians’ intent to buy fair trade products
Bibliographic record
Abstract
Abstract Over the last two decades, a growing concern about ethical behaviour has been observed among consumers. Ethically minded consumers are more inclined towards the consumption of ethical goods, such as green products and fair trade (hereafter, ‘FT’) products, organic products and local products. Establishing the motives that predict FT consumption behaviour provides ground for understanding how consumers make purchase decisions. This research postulates that the intention of buying FT products is influenced by socially conscious behaviour, consumers’ values and emotions. The study, conducted among 268 Canadian consumers, shows that the high intention of buying FT products is linked to high levels of pride, enthusiasm, satisfaction, happiness and joy related to FT product consumption. The FT consumption experience provides consumers with hedonic gratification. It shows that the higher the levels of self‐centred, equality and social justice values are, the higher the intention of buying FT products. An increase in socially conscious behaviour generates an increase in intention of purchasing FT products. The research contributes to a preliminary analysis of the role of emotions in this field and calls for the development of cognitive‐affective models of purchase and consumption behaviour. Understanding the dimensions of hedonic values and the significance of pleasure experience is essential to the development of the theory and practices of FT consumption.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".