Bibliographic record
Abstract
Subject area Sustainable fashion. Study level/applicability Bachelor Degree/Master Degree, Master of Business Administration (MBA), PhD. Case overview The case focuses on Osklen, one of the world’s first eco-fashion brands, founded in 1989 by Oskar Metsavaht. For the past 26 years, Osklen had become Brazil’s foremost sustainable luxury venture, and since 2012, under first minority and then majority corporate ownership, pursued an aggressive global expansion strategy. The dilemma of the case juxtaposes Osklen’s creative aesthetics, which leverage unique Brazilian beauty in nature and heritage, with the financial pressures of global expansion. The tension is exacerbated by the 2015 corruption scandal, which decelerated the Brazilian economy and reduced consumer spending on sustainable luxuries in Osklen’s home market; it also risked compromising the appeal of Brazilian brands elsewhere. The case explores the complex interconnections between local and global aspects of sustainability and brings forward the environmental, social and cultural aspects of brands and business to the foreground. The case also illustrates how economic crises impact brands from the initial creative inspiration to the prospects of global expansion. Expected learning outcomes Students will master tools for strategic analysis (VRIN framework and scenario planning) to a company evolving in an emerging economy. They will learn about the ways to consider and communicate sustainability. Students will be exposed to the importance of aesthetics and multi-sensoriality in business activities. Supplementary materials Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes. Subject code CSS 11: Strategy
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.023 | 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".