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Enregistrement W4416004864 · doi:10.5465/amproc.2025.24552abstract

Innovation Pathways for Nonprofits in Rural Ontario, Canada

2025· article· en· W4416004864 sur OpenAlexaffabout
Kunle Akingbola, Yuanyuan Wu

Notice bibliographique

RevueAcademy of Management Proceedings · 2025
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueNonprofit Sector and Volunteering
Établissements canadiensLakehead University
Organismes subventionnairesnon disponible
Mots-clésGovernment (linguistics)ProcurementSocial entrepreneurshipCompetition (biology)Rural areaPublic policySocial innovation

Résumé

récupéré en direct d'OpenAlex

This community-engaged research examines the ability of nonprofit organizations in rural and small urban areas to develop specific initiatives, such as services, partnerships, and fundraising, and to achieve targeted social outcomes as growth potential proxies associated with social innovation (SI). Drawing on a sample of nonprofit organizations in Central Ontario, the preliminary findings suggest that there are diverse pathways to innovation in the organizations. Specifically, the rural nonprofit organizations, which are generally very small, deploys innovative practices that are consistent with their unique context. Nonprofit organizations advance a social, cultural, or environmental mission, and are in the forefront of providing social goods, helping vulnerable clients and communities to cope with emergent needs, economic and social problems, and changes in government policies. However, limited growth is a pressing challenge of many nonprofits in Canada, although organization growth is an imperative to survival and achieving scaling of social impacts. Growth is desired upon the perceived opportunities such as organizational and financial performance, and external threats caused by increased competition and public procurement policies (Tykkyläinen, 2019; Davies et al., 2019). Among various barriers to nonprofit growth, a resource-based view that emphasizes the nonprofit knowledge and capabilities is widely adopted (Davies et al., 2019; Shepherd & Patzelt, 2020). Innovation capabilities are an important drive for entrepreneurial growth and economic development, and skills and capabilities facilitating various innovations in nonprofits are raised as a key to address the growth issue (Weeawardena et al., 2021; Best, et al., 2021). Although nonprofits are known to have developed various adaptive strategies including the use of business management techniques, stepping up boundary-spanning activities and embracing social enterprise, many of the initiatives are short-term efforts (Alexander, 2000; Dart, 2004; Tucker et al., 2005). The threats to their survival and the challenges that these community organizations must navigate to be effective means that nonprofits must embrace innovation to deliver the outcomes expected by their stakeholders. Social Innovation is regarded as key to Canada’s strategy advancing its UN Sustainable Developmental Goals and enabling Canadian nonprofits to grow. The preliminary findings indicate that innovation is essential for these community organizations which are constrained by their limited resources. Rather than developing initiatives and specific innovation strategy based on generic template, the nonprofit organizations exemplify innovativeness that are related to their culture and opportunities that are available in the environment. While none of the organizations had a plan or strategy, innovation was driven by mandates, people, and required by constrained resources. Innovation is evidenced in many facets including new programs, fundraising approaches, collaboration engagement, and governance mechanisms. Innovation was encumbered by significant challenges, which contradictorily give rise to innovative solutions. From funding to informal approaches and scale of the innovation, the nonprofits managed the challenges to deploy innovation in different facets of their organization. The impact of the innovation that they deployed is often not the direct growth but increased local influence in securing resources and partners. The research identifies the relationship between the innovativeness and innovation pathway of nonprofit organizations, the unique features of the innovation pathways, and their outcomes for the clients, community, and the organization. The findings will help guide nonprofits’ innovation practices.

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)0,002
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,129
Score d'incertitude au seuil0,937

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,003
Études des sciences et des technologies0,0120,002
Communication savante0,0050,001
Science ouverte0,0010,004
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0080,001

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 Opus0,026
Tête enseignante GPT0,292
Écart entre enseignants0,267 · 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'étudeObservationnel
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
Publié2025
Routes d'admission2
Résumé présentoui

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