Impact creation approaches of community-based enterprises: A configurational analysis of enabling conditions
Bibliographic record
Abstract
This study investigates which local conditions enable community-based enterprises (CBEs) to create impact. Advancing our limited understanding of the various contexts that enable CBEs to tackle societal issues locally, we investigate supportive conditions across 77 CBEs driving the energy transition in their geographic community. Through qualitative comparative analysis, we identify four condition configurations for CBE impact creation. Across these configurations, we reveal transferable mechanisms helping CBEs to engage community members ( Opportunity- and Community-anchoring ) and handle the absence of a supportive condition (Circumventing and Compensating). Our study suggests how CBEs can combine these mechanisms to create impact in varied local contexts. • Our study informs how community-based enterprises (CBEs) can generate local impact based on available local conditions. • No single condition is necessary or (by itself) sufficient for impact creation. • CBEs can build upon various condition combinations that can help deal with a barrier (lacking condition). • CBEs enhance resourcefulness by passing barriers with Circumventing and overcoming them with Compensating strategies. • CBEs engage communities by highlighting benefits ( Opportunity-anchoring ) or emphasizing relationships ( Community-anchoring ).
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| 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".