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Record W4282931795 · doi:10.1177/08944865221100374

When Family Business Meets Social Enterprise: An Integrative Review and Future Research Agenda

2022· article· en· W4282931795 on OpenAlexaff
Robert V. Randolph, Benjamin Nathan Alexander, Kristen Madison, Francesco Barbera

Bibliographic record

VenueFamily Business Review · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsExtant taxonFamily businessValue (mathematics)Foundation (evidence)Social enterpriseSociologyPublic relationsDisciplineKnowledge managementManagementBusinessPolitical scienceMarketingSocial science

Abstract

fetched live from OpenAlex

Although family businesses and social enterprises are typically examined as distinct organizational forms, research in both domains recognizes the significant influence of family on organizational goals. Our cross-disciplinary review of 104 articles, published in 50 journals between 1996 and 2020, capitalizes on this family connection and synthesizes the varied ways family influence has been examined in extant literature. Our review considers the role of the family in shaping social missions and directing social value while also emphasizing the importance of community stakeholders. Our findings provide a foundation for understanding the dynamic role of family influence across domains and enhancing interdisciplinary learning.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.273
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.007
Science and technology studies0.0030.000
Scholarly communication0.0010.004
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.061
GPT teacher head0.332
Teacher spread0.271 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations9
Published2022
Admission routes1
Has abstractyes

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