The development of an apparel industry business model for Canada
Bibliographic record
Abstract
Purpose – Earlier attempts to develop a strategy for the apparel industry in Canada to counter the adverse effects of trade liberalisation on Canadian apparel suppliers have been based on the concept of clustering. However, despite the support from government-supported industry bodies, clustering has not been forthcoming and this situation has created a pressing need for the development of an alternative to the clustering strategy. A study by the Canadian Apparel Human Resources Council offered up several different strategies including clustering, that the Canadian apparel industry might pursue, but these have not been taken up. Evidence gained from government reports on the industry and its performance, industry case studies, an experience survey and questionnaire reported earlier, leads to a radically different alternative with a more direct relationship between Canadian apparel suppliers and retailer. The purpose of this paper is to report and construct an evidence-based collaborative strategy together with its accompanying apparel industry business model. Design/methodology/approach – The evidence gained from case studies of Canadian apparel businesses, a secondary data search, an experience survey and an online questionnaire has been followed and combined with retailer requirements from apparel suppliers. Findings – The information gained from apparel industry representatives, government sources and industry reports has enabled step-by-step construction of an evidence-based business model centred on the formation of collaborative partnerships between apparel suppliers and retailers. Originality/value – The model reflects the fact that Canadian apparel retailers have taken the leading role in the supplier/retailer relationship and shows how Canadian apparel suppliers might better position themselves to combat competition from offshore suppliers through the formation of closer links with retail partners. It points not only to a requirement for Canadian apparel suppliers to become integrated into their retail partner’s retail management systems and technology, but also demonstrates the need for the formation of strong alliances through collaborative partnerships between supplier and retailer to address the needs of the apparel market.
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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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.011 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".