MétaCan
Menu
Back to cohort

Governance and Management of Collective User‐Based Enterprises: Value‐Creation Strategies and Organizational Configurations

2004· article· en· W2050612138 on OpenAlexaff
Marie‐Claire Malo, Martine Vézina

Bibliographic record

VenueAnnals of Public and Cooperative Economics · 2004
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicService and Product Innovation
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsStandardizationValue (mathematics)BusinessCorporate governanceKnowledge managementIndustrial organizationPolitical scienceComputer science

Abstract

fetched live from OpenAlex

Abstract The evolution of the collective enterprise may be conceptualized in three phases throwing into relief five strategies for the creation of value. The first corresponds to the emergence of a collective enterprise, an innovation in itself. The second, the spread of the innovation by replication, is linked to federalization and to the beginning of standardization. The tension between innovation and standardization begin to make a difference as early as this replication phase, but later it becomes more critical. It forces the collective enterprise to avoid wholesale standardization, an outmoded option, and instead allows space for considering one of the two strategies for the creation of value in keeping both with its distinctive social economy identity and with the new strategic approaches centred on the competences of the enterprise and the creation of value for the user. Thus, the collective user enterprise may move forward by focusing, i.e., by even greater innovation in its provision for a target group of members. The collective enterprise may also progress by hybridization, i.e., through re‐combining in a better way the innovation and standardization required to respond, effectively and efficiently, to a group of owners that is not only very large, but also highly diversified. The authors identify the organizational configuration for each pattern of value‐creation by concentrating on governance structures and the role of managers .

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.818
Threshold uncertainty score0.385

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.036
GPT teacher head0.256
Teacher spread0.220 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations2
Published2004
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of Public and Cooperative EconomicsSame topicService and Product InnovationFrench-language works237,207