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Scaling Community Enterprises: Multilevel Sustainability Strategies Across Local and Global Contexts

2025· article· en· W4416002417 on OpenAlexaff
Thomas Bauwens, Taneli Vaskelainen, Ana María Peredo, Anne-Claire Pache, Daniel Aguilar Vinas, Daniel Petrovics, Jason Jahir Roncancio, Matthijs B. Punt

Bibliographic record

VenueAcademy of Management Proceedings · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicCommunity and Sustainable Development
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSustainabilitySocial entrepreneurshipScholarshipEmpirical researchScalingEmerging marketsEntrepreneurshipCore (optical fiber)

Abstract

fetched live from OpenAlex

This symposium explores how community enterprises (CEs) navigate the complex challenges of scaling their operations while maintaining their core values and community-oriented missions, drawing on institutional and entrepreneurship theory. As ecological and social challenges intensify, CEs—hybrid business organizations collectively founded, owned, and controlled by local communities—are emerging as vital actors in societal transformations towards sustainability. While their impact is evident, with, for instance, over 11,500 renewable energy communities across Europe mobilizing millions of citizens, scaling these initiatives can endanger core values through mission drift and corporate-type practices. Through four empirical papers, this symposium examines how CEs can advance their impact on sustainability challenges while preserving their foundational social purpose. The papers investigate: (1) how CEs navigate institutional complexity and competing logics during scaling processes, drawing insights from an ethnographic study of a Spanish energy cooperative; (2) how community characteristics at the municipal level influence the emergence and replication of Dutch sustainability CEs, focusing on energy, circular economy and regenerative agriculture; (3) how meta-organizations enable sustainable scaling through rhizomatic coordination processes in the Dutch energy sector; and (4) how macro-level institutional, economic, and social factors shape the emergence and scalability of social innovations in the energy sector across 29 European countries. The symposium serves dual purposes: providing a developmental platform for emerging scholarship with feedback from senior academics, and creating a forum for researchers, practitioners, and policymakers to connect and share insights on scaling CEs. These discussions will advance organizational theory by illuminating the interplay between institutional complexity, community dynamics, and scaling processes in hybrid organizations. Navigating Institutional Complexity in Scaling: An Ethnographic Study of an Energy Cooperative Author: Daniel Aguilar Vinas; Rotterdam School of Management Author: Thomas Bauwens; Rotterdam School of Management Scaling-Across, Not Alike: Regional Variations in Sustainability Community Enterprises Replication Author: Matthijs Benjamin Punt; Utrecht University A Field of Wildflowers Bloom: Rhizomatic Meta-organizing and Impact Scaling of Hybrid Organizations Author: Daniel Petrovics; Rotterdam School of Management Author: Taneli Vaskelainen; University of Helsinki Author: Thomas Bauwens; Rotterdam School of Management Macro-Level Drivers of Social Innovation for Sustainability: A Longitudinal Multilevel Analysis Author: Jason Roncancio; Erasmus University Rotterdam Author: Sam de Ploeg; Rotterdam School of Management Author: Thomas Bauwens; Rotterdam School of Management

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0100.016
Scholarly communication0.0120.014
Open science0.0020.020
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.019
GPT teacher head0.364
Teacher spread0.345 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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