Critical Areas and Entry Points for Sustainability‐Related Strategies in the Sugarcane‐Based Ethanol Industry of Brazil
Bibliographic record
Abstract
ABSTRACT This study reveals five critical areas that Brazil's sugarcane‐based ethanol industry could capitalize on to incorporate sustainability into their firms' strategies. The emergent theoretical framework represents a starting point for further investigations aimed at integrating the sustainability construct and strategies for the industry. A growing body of literature calls for strategic management to adapt to complex and ever‐changing environments and sustainability trends. For many firms in developing economies, sustainability remains isolated from mainstream strategy, resulting in reactive approaches on the part of management. A qualitative research method – grounded theory – was used to induct from data. Five themes emerged from the analysis providing guidance on where sustainability‐related strategies ought to begin. This research posits that existing sectoral innovation systems could be used to channel sustainability‐driven innovations. In addition, a combination of public and private efforts to foster innovations based on the emergent themes could increase the value of industry under study, while lessening its social and environmental footprint. Copyright © 2012 John Wiley & Sons, Ltd and ERP Environment.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| 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".