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Record W4393315920 · doi:10.1177/10422587241238006

When Do Shareholder Agreements Add Value? Mitigating Superprincipal-Agency Conflicts in Family Firms

2024· article· en· W4393315920 on OpenAlexaff
Peter Jaskiewicz, François Belot, James G. Combs, Emmanuel Boutron, Céline Barrédy

Bibliographic record

VenueEntrepreneurship Theory and Practice · 2024
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAgency (philosophy)Corporate governanceBusinessShareholderContext (archaeology)Value (mathematics)Principal–agent problemAccountingShareholder valueAgency costEnterprise valueFinanceSociology

Abstract

fetched live from OpenAlex

Researchers are divided on whether shareholder agreements (SAs) improve or hurt firm value. We offer family firms as a context where SAs add value and explain why; SAs limit “superprincipal” agency conflicts between family owners and other family members. A panel of French firms and a second study of French Initial Public Offerings show shareholders value SAs more in family than in nonfamily firms. Among family firms, SAs add greater value when weak governance undermines family owners’ resistance to other family members’ demands. Our study helps reconcile competing theory about SAs and distinguishes superprincipal conflicts from other family-firm agency problems.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.688
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0010.006
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.034
GPT teacher head0.282
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
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

Citations4
Published2024
Admission routes1
Has abstractyes

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