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Record W4416986912 · doi:10.1177/09713557251398993

Family Firms and CSR Composition: Internal Versus External Practices in Latin America

2025· article· en· W4416986912 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe Journal of Entrepreneurship · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsLatin AmericansCorporate social responsibilitySocioemotional selectivity theoryLegitimacyCorporate governanceEmerging markets

Abstract

fetched live from OpenAlex

Corporate social responsibility (CSR) is central to debates on the legitimacy and competitiveness of family firms, yet evidence on ownership effects remains inconsistent. While socioemotional wealth perspectives highlight reputational motives, capability-based views suggest that resource constraints may limit substantive internal investments. Most prior studies focus on aggregate CSR levels and on Europe or North America, leaving unanswered whether ownership shapes the composition of CSR activities in under-represented contexts such as Latin America. This article examines 315 listed firms in Argentina, Brazil, Chile, Colombia and Mexico between 2019 and 2023. Using environmental, social and governance ratings and generalised linear models with size, age, country and sector controls, this study tests whether family ownership predicts internal versus external CSR outcomes. The authors find that non-family firms outperform in capability-intensive internal CSR, while external CSR and governance show parity. These results highlight a visibility–capability trade-off and suggest that Latin American family firms must enhance their operational capabilities to address CSR gaps.

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.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.043
Threshold uncertainty score0.313

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 communication0.0000.001
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 head0.037
GPT teacher head0.286
Teacher spread0.248 · 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