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Record W3002570724 · doi:10.3390/su12030814

New Insights into Non-Listed Family SMEs in Spain: Board Social Capital, Board Effectiveness, and Sustainable Performance

2020· article· en· W3002570724 on OpenAlexaff
Valeriano Sanchez‐Famoso, Jorge Humberto Mejía‐Morelos, Luis Cisneros

Bibliographic record

VenueSustainability · 2020
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsSocial capitalBusinessAccountingInterlockIndustrial organizationEngineeringPolitical science

Abstract

fetched live from OpenAlex

This study proposes an original structural model that analyzes the relationship between sustainable firm performance, and a board of directors’ external and internal social capital. Data collected in 232 non-listed and family-run small and medium-sized enterprises in Spain suggest that the effects of boards’ internal and external social capital on sustainable firm performance were partially transmitted through board effectiveness. However, external social capital influences board effectiveness and sustainable firm performance more than internal social capital. Moreover, interlocks only reinforce the relationship between a board’s external social capital and its effectiveness. Our research offers the following main contributions: (1) A proposed structural theoretical model, (2) a focus on both internal and external social capital, unlike previous literature that emphasized only one perspective, and (3) empirical evidence that supports literature on the interlocking interaction between a boards’ internal and external social capital.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.228
Teacher spread0.219 · 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 designObservational
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

Citations17
Published2020
Admission routes1
Has abstractyes

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