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Enregistrement W2976604572

Mission Possible?: Funding and Accountability in Benefit Corporations

2018· article· en· W2976604572 sur OpenAlexaboutno aff
Michael Cianos

Notice bibliographique

RevueeScholarship (California Digital Library) · 2018
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueCommunity Development and Social Impact
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésShareholderCorporate social responsibilityAccountabilityCorporationTransparency (behavior)CertificationLegislationDominance (genetics)StakeholderOrder (exchange)CapitalismCorporate governanceBusinessPolitical sciencePublic relationsEconomicsManagementLawFinancePolitics
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

There exists only a handful of empirical studies on B Corps, and even fewer on benefit corporations, yet understanding how social entrepreneurs wield these forms is an important area to continue investigating considering their rapid adoption. Though often used interchangeably, the two terms refer to different things: the benefit corporation is a legal entity (akin to a C Corp, LLC, etc.) designed to institutionalize a multi-stakeholder approach to business and more rigid transparency requirements, and B Corps are companies that have been certified by B Lab—the nonprofit behind the whole movement—as meeting certain social and environmental standards. Benefit corporations only explicitly exist in the U.S. and Italy, however there have been significant efforts to pass legislation in Australia, Argentina, Canada, Chile, and Colombia. B Corps, on the other hand, have spread all around the world, and B Lab now has an Asian headquarters in Taiwan, an East African headquarters in Kenya, and a European headquarters in Amsterdam. Both of these forms have arisen in response to the dominance of shareholder-value-driven capitalism, which was born in the U.S. but has since spread to many areas of the world by way of Washington Consensus-style economic reforms. Despite its prevalence, there is growing dissatisfaction with the model’s inability to address non-commercial objectives. Previous efforts to reconstitute corporate models in order to serve multiple functions (e.g. CSR, ethical certifications, triple bottom line approaches) have tended to run afoul of market pressures whereby competition in product, capital, and labor markets—coupled with the primacy of shareholder value—relegate the non-commercial functions to a secondary status. The benefit corporation and the B Corp were conceived as a direct response to these problems. This study asks whether and how they help provide committed social entrepreneurs the space they require to pursue their social goals (the wider problem of preventing strictly commercial companies masquerading as socially conscious businesses is beyond the scope of this project). This research set out to explore the experiences of early adopters of the benefit corporation in order to understand how the legal form might impact a company “on the ground.” However, since many of this study’s participants were also B Corps, the findings that resulted have a great deal to do with B Corps, as well. The study consists of 12 semi-structured interviews with founders, CEOs, general counsels, and executives of benefit corporations over the course of 3 months. Interviews focused primarily on how being a benefit corporation impacts funding and how, if at all, it impacts a company’s day-to-day operations. Two primary hypotheses resulted, which both can be better understood by applying the economic notions of signaling and screening: (1) being a benefit corporation acts as a screening mechanism to help founders find better alignment with “traditional” investors and (2) being a benefit corporation does not significantly change behavior or encourage internal and horizontal accountability, but being a B Corp does. The latter hypothesis is strengthened by explaining how being a B Corp acts as a signal during the hiring process, and how combining it with a screen may make the development of a strong internal accountability mechanism more likely. These findings have significant relevance for social entrepreneurs who are considering becoming either a benefit corporation or a B Corp (or both), as well as for legislators and investors.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,018
score de la tête « metaresearch » (Gemma)0,058
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil0,094

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0180,058
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0080,015
Communication savante0,0160,014
Science ouverte0,0010,009
Intégrité de la recherche0,0040,003
Charge utile insuffisante (le modèle a refusé de juger)0,0110,001

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.

Tête enseignante Opus0,056
Tête enseignante GPT0,251
Écart entre enseignants0,195 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2018
Routes d'admission1
Résumé présentoui

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