Sustainability and Competitive Advantage: A Study in a Brazilian Cosmetic Company
Bibliographic record
Abstract
Sustainability is an increasingly common and important issue in daily life, which in turn becomes an advantage when handled strategically by managers in their businesses. Nevertheless, in the Brazilian cosmetics and personal care industry one can find companies that consciously resist this trend. In this context, this article aims to highlight the advantages of using sustainability as a business strategy. The method used was a case study with a qualitative approach. In the case of the company, which was the subject of study of this work, the reasons that have led it to remain inert are strongly related to its model for running the business, especially the lack of long-term planning, a strong hierarchy, low leadership awareness and overvaluation of investors, making sustainability a seemingly incompatible matter for the organization. The studied company's own stakeholders, particularly employees, have identified several innovative opportunities for it to progress toward sustainability. However, in most cases, managers have been prevented from pursuing sustainable actions on the grounds that such initiatives are subjective and have no value.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.003 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".