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Record W4297746050

Private equity investment in family firms: The role of stake size and deal syndication

2018· article· en· W4297746050 on OpenAlexaffabout
Alexandra Dawson, Céline Barrédy

Bibliographic record

VenueSpectrum Research Repository (Concordia University) · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsConcordia University
Fundersnot available
KeywordsWeb syndicationPrivate equityPrivate equity firmBusinessPrivate equity fundClub dealInvestment (military)FinanceEquity (law)Monetary economicsVenture capitalEconomicsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

Private equity (PE) firms are increasingly investing in family firms, as these organizations look to grow and deal with ownership succession. In this study we contribute to the developing entrepreneurship literature on PE investment by addressing the heterogeneity of PE firms. We distinguish between private independent and captive PE firms in order to understand whether different types of PE firms select different (i.e. family- vs. non-family) firms as their target. We also look at whether the relationship between the type of PE firm and likelihood of investing in a family firm (vs. a non-family firm) is moderated by two factors, which are related to risk reduction in PE deals, namely size of equity stake and deal syndication. Our analysis of all 902 private equity deals that took place in Canada between 2009 and 2014 indicates that family firms are not the preferred investment choice for private independent private equity firms, although taking a minority stake positively moderates this relationship.

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)0.001
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 score0.098
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.001
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 head0.031
GPT teacher head0.264
Teacher spread0.233 · 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 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

Citations0
Published2018
Admission routes2
Has abstractyes

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