Factors influencing consumer choice: a study of apparel and sustainable cues from Canadian and Indian consumers’ perspectives
Bibliographic record
Abstract
The purpose of this study is to investigate the salient effects of product evaluative cues from a cross-national perspective. A web-based survey consisted of eight measuring items of environmental commitment and behaviour, 20 items of product cues, and demographic and behavioural questions were employed. A total of 321 and 309 usable surveys were collected from Canada and India, respectively. The results revealed that Canadian and Indian consumers were more concerned about psychic/aesthetic and physical/functional cues than extrinsic and sustainable cues. In particular, fit and comfort were perceived as the two most important evaluative criteria by both samples. Indian consumers relied more heavily on ‘no child labour’ and ‘no animal skin usage’ cues to evaluate apparel products than their Canadian counterparts. The findings underpin several implications, including aesthetic longevity, versatility, durability, and affordability of clothing, as well as transparency on sustainable production and practices
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".