How to Change Entrepreneurs’ Attitudes toward a Circular Economy: An Exploratory Framework to Reduce the Gap between Circular Intentions and Circular Actions
Bibliographic record
Abstract
Entrepreneurs are aware of the importance of having practices for circularizing their resources. However, the rare previous research specifically in entrepreneurship shows a gap between intentions and implementation with numerous barriers (structural, contextual, and cultural). This article proposes a first framework to reduce this gap between intentions and circular actions. These solutions are based on the theory of attitude changes, which states that changes in individuals’ attitudes are more significant if they are preceded by an inexpensive act (Binding Communication Approach). As this is a still little-explored subject that mixes circular entrepreneurship and environmental psychology, the research method is exploratory, based on an analysis of previous writings in these two distinct fields, with the proposal of a first formalization starting from the example of solutions based on inexpensive acts (communities of practices, prizes, and tools). Conclusions are proposed regarding the characteristics of this type of preparatory act necessary to change entrepreneur attitude toward circular economy practices.
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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 | 0.016 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| 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".