Disclosure of Social-Economic Value in the Social Enterprise. Stimuli from an Italian Multiple Case Study
Bibliographic record
Abstract
The growing interest in the financial, social and environmental sustainability of all organizations as a whole, as well as the growing sentiment for their responsibility towards the community, lead organizations to face the challenge of evaluating and communicating their non-financial performance through the social accounting. The issue assumes a peculiar meaning within social enterprises (SEs) aimed at pursuing the general interest. In these organizations, the disclosure of the value created for both internal and social stakeholder raises to rank of survival condition because the development, reputation and credibility of the SEs are closely linked to the institution's ability to reach and communicate externally the social value created. This work aims to highlight the peculiar resources of the SEs and demonstrate that, in most cases, they allow SEs to achieve financial sustainability. Social and economic value will be assessed and the share of income that cannot be distributed, regardless of the relevant regulatory provisions, will be emphasized. To achieve these goals, a multiple case study is used to measure the value added distributed to internal and external stakeholders by adapting Mook model to SEs. The results show that volunteering and donations contribute not only to the social value generated by SEs but to their economic sustainability as well, being considered as the engine of development of the economic system as a whole. This paper contributes to the literature by focusing on the contribution of liberalities and volunteering to consolidate the financial structure of the SE and to development of the economic system as a whole.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.001 |
| 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".