Corporate Social Responsibility In The Apparel Industry: A Multiple Case Study Analysis
Bibliographic record
Abstract
There has been a growing concern over apparel brands in improving their environmental impact and the social responsibility throughout their supply chains. Corporate Social Responsibility (CSR) reporting has ncreased within the apparel industry as a response. This thesis presents a review of the CSR reporting on the websites of the 14 apparel brands belonging to the Sustainable Apparel Coalition. Qualitative and quantitative data are collected on all reported CSR initiatives, actions and indicators. The data are organized into the five elements that represent important aspects in developing a sustainable apparel system: product sustainability, design practice, sustainable supply-chain management, consumer engagement, and business innovation. A cross-case analysis of the apparel brands is conducted. The key findings of the study include a lack of comparability among reported CSR indicators. In addition, a similar distribution pattern of CSR indicators across the five elements was observed. The results highlight that CSR reporting currently is not effective in providing a true reflection of an apparel brands CSR actions and initiatives. This study shows that the means for evaluating effectiveness in CSR reporting has not yet been put in place.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".