Determinants of young adults' slow fashion attitudes and idea adoption intentions in Canada, China and South Africa
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose Large, influential and profitable young adults are being targeted for fast fashion that negatively impacts the environment. The transition from a fast to an environmentally friendly slow fashion is a challenging process and culturally dependent. The process starts with slow fashion idea adoption. Thus, the authors modified an information acceptance model (IACM) to examine information characteristics (idea/information quality, credibility, usefulness, source credibility) and consumer factors (need for idea and attitudes) impacting intentions to adopt the slow fashion idea in Canada, South Africa (individualists) and China (collectivists). Design/methodology/approach Cross-sectional data were collected from South African ( n = 197), Chinese ( n = 304) and Canadian ( n = 227) young adults (18–35 years old) at universities in metropolitan cities. Partial least squares structural equation modeling was used to analyze the data. Findings The results show that while most information characteristics and consumer factors are vital for slow fashion attitudes and intention formation, information quality and trust in the sources were a problem in individualistic cultures as opposed to the collectivist culture. This finding confirms the greater tendency of collectivists to trust disseminated information on environmental issues. In all cultures, attitudes impacted idea adoption intentions. On testing IACM, the multigroup analyses showed no significant differences between young adults in the individualistic cultures. Attitudes mediated most relationships and were highly explained by IACM (South Africa, 49.6%; China, 74.5%; and Canada, 64.5%). Originality/value In emerging and developed markets, this study informs environmentalists and green fashion brands of information characteristics that can create positive attitudes and slow fashion idea adoption intentions among influential young adults.
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.
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 | 0.000 |
| 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 | 0.000 |
| 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 it