Examining the structure of the fashion industry in Ghana in ensuring the successful adoption of sustainable approach
Bibliographic record
Abstract
The structure of the fashion industry in various geographical regions, along with its production history and practices, plays a pivotal role in shaping the adoption and implementation of sustainable strategies. This study examines the fashion industry’s structure in Ghana as a fundamental step in considering the adoption and implementation of sustainable strategies. To facilitate the selection of respondents for this preliminary study, we employed a Google survey, utilizing a snowball technique to identify participations in the two major cities in Ghana. The survey specifically targeted fashion producers operating within the small and medium-sized enterprises (SMEs) with retail outlets. Collected data from Google Forms were collated with Microsoft Excel and subsequently analyzed. The findings unveiled that young businesses often operate as sole proprietorship, with their founders serving as lead designers, primarily selling directly to end users. While previous studies have documented similar findings, this study connects these observations to the adoption of sustainable strategies in businesses where where owners, who also serve as creative heads, make significant decisions that can influence the practice of sustainable strategies. Furthermore, the study highlights that sustainability and sustainable practices are relatively new to SMEs in Ghana. It recommends further research to gauge the awareness and willingness to adopt circular strategies, given the industry towards industrialization.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".