A Systematic Literature Review of Consumer Attitude towards Sustainable Fashion
Bibliographic record
Abstract
With the environmental pollution caused by the development of the fashion industry, consumers' attitudes toward sustainable fashion consumption have also attracted attention. Consumer attitudes are not only related to individual sustainable consumption choices but also directly affect the development of the sustainable fashion market. Therefore, understanding and promoting consumers' attitudes has become an important topic for sustainable marketing. This study aims to systematically review and analyze consumer purchasing attitudes in sustainable fashion, including its concepts, antecedent variables, and outcome influence. By studying the existing research results, we can better understand how consumer attitudes are formed and affect their consumption outcomes, thus providing theoretical guidance and practical suggestions for sustainable fashion marketing. This study used a literature review approach to increase the understanding of consumer attitudes in the field of sustainable fashion. The main findings include the multidimensional influencing factors of consumer attitudes and the effect of attitudes on purchase intention. Future research can explore consumer attitudes in the context of sustainable fashion from other perspectives, including cultural differences, interdisciplinary approaches, and emerging technologies.
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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 | 0.009 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.024 | 0.020 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".