Towards Sustainability: Examining the Drivers and Change Process within SMEs
Bibliographic record
Abstract
Sustainability appears to be at the forefront of business topics for the 21st century. Over the past twenty to thirtyyears, businesses have changed their attitude towards sustainability from rejection to elevating it to a keystrategic organization goal, based on the realization that sustainability is not only good for the planet, butfinancially rewarding. This development results in the need for frameworks describing how organizations cansuccessfully manage the change towards sustainability. This paper provides a thorough literature review of thecurrent stage of the development of such frameworks, as well as a comparison with assessments of where 21stcentury corporations stand with regards to sustainability. The authors find that while valuable frameworks exist,there is a lack of understanding of whether and how these frameworks work for Small and Medium sizeEnterprises (SMEs). Building upon the existing models, this paper proposes a pathway for empirical researchleading to the alignment and adjustment of these models to the needs of SMEs.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".