Outcome‐Based Typology of Social Enterprises: Interlacing Individual Transformation, Capital Provision, and Societal Influence
Bibliographic record
Abstract
Abstract Social entrepreneurship has emerged as a global phenomenon aimed at tackling societal grand challenges through market‐based activities. A holistic understanding of social enterprise outcomes is crucial for reflecting their effectiveness in meeting social objectives and informing internal organizational processes. This study explores the outcomes of social enterprises through a comparative qualitative analysis of 49 social ventures in Austria, Canada, Czechia, Denmark, Germany, Greece, India, Italy, the Netherlands, and the United States, spanning diverse sectors. Three key outcome dimensions are identified: individual transformation, capital provision, and societal influence. Our analysis results in a typology of seven distinct types of social enterprises, each integrating these dimensions to varying degrees. Utilizing this typology, we reveal how social enterprises navigate barriers to solving complex social and environmental problems, illustrating the dynamic interplay between outcome dimensions and the importance of multi‐objective organizing – beyond hybrid organizing – in addressing complex societal issues.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".