Social Enterprise: A Portrait of the Field
Notice bibliographique
Résumé
The Social Enterprise Alliance recently partnered with Community Wealth Ventures and Duke University's Center for the Advancement of Social Entrepreneurship to assess the state of social enterprise in the nonprofit sector in the United States and Canada. The survey effort, which was funded by REDF, was designed to advance the field by identifying trends and best practices among nonprofit organizations engaged in social enterprise activities.For the purposes of the survey, "social enterprise" was defined according to the definition developed by the Social Enterprise Alliance: "An organization or venture (within an organization) that advances a social mission through market-based strategies. These strategies include receiving earned income in direct exchange for a product, service or privilege." Survey respondents were identified from multiple sources, including the partners' databases, and represented a broad range of organization types, sizes and geographic locations. In all, 740 organizations completed the survey. These included organizations that operate a social enterprise, are considering doing so, or are unfamiliar with social enterprise. In this report, we take a deeper look at the survey results, which were originally released in 2009. We also present in-depth profiles of some of the responding organizations.The survey found that the number of social enterprises launched each year has grown steadily since the 1970s, with the most rapid growth occurring during the 1990s and early 2000s. The findings provide empirical data to affirm a trend noted by several researchers and nonprofit leaders in recent years: the blurring of lines between nonprofit and for-profit entities. Nonprofits are becoming more "business-like" in their strategies and incomegenerating activities, while for-profits show an increasing tendency to embrace and advance important social and environmental causes.1Of course, the impact of the 2008-09 recession on social enterprise is yet to be seen and could not be reflected in the survey. The fiscal challenges brought on by the recession might prompt more organizations to consider additional routes for generating added revenues, or it could cause them to delay taking the plunge because of financial uncertainty. Only time, and further research, will tell.Regardless of what happens in the near term, however, the survey results indicate that the trend in recent years has been toward increasing consideration of social enterprise as a route to organizational sustainability and growth.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,370 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».