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Record W1490472568 · doi:10.1111/corg.12080

How does Family Control Influence Firm Strategy and Performance? A Meta‐Analysis of <scp>US</scp> Publicly Listed Firms

2014· article· en· W1490472568 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

VenueCorporate Governance An International Review · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsSimon Fraser UniversityConcordia University
Fundersnot available
KeywordsSuccessor cardinalDifferential (mechanical device)Diversification (marketing strategy)Equity (law)SalientNarrativeCorporate governanceInternationalizationControl (management)Leverage (statistics)AccountingPolitical scienceBusinessEconomicsMarketingManagementMicroeconomicsComputer science

Abstract

fetched live from OpenAlex

Abstract Manuscript Type Empirical Research Question/Issue A contentious and prominent research question in the management literature is whether publicly listed family firms ( FF s) outperform other types of corporations. Through a research synthesis of all available studies on the performance of US FF s, we address this question directly. We also extend the debate by raising three salient follow‐up questions. First, is the performance differential between FF s and non‐ FF s attributable to a unique set of strategic choices? Second, do FF performance effects persist across generational transitions in FF control? Third, are performance differentials across generations attributable to intergenerational shifts in corporate governance and strategy? Research Findings/Insights With respect to our primary research question, we find that the balance of evidence indicates that ( US ) FF s outperform other types of public corporations. We also evaluate competing narratives regarding which strategies are characteristic of FF s, and demonstrate that their diversification, internationalization, and financing strategies mediate the FF ‐performance relationship in manners consistent with the narratives advanced by certain leading FF scholars, but not others. Further, we find that the performance of ( US ) FF s drops dramatically after the first generation and show that this negative performance differential is due to the much more conservative patterns of strategic decision making enacted by successor generations. Theoretical/Academic Implications In addition to providing the most comprehensive evidence to date regarding the performance attributes of FF s, we nuance several theoretical debates concerning the propensity of FF s to diversify, internationalize, and leverage their equity capital. Practitioner/Policy Implications We identify value‐creating strategic choices of FF s related to internationalization, diversification, and capital structure. We also identify strategic choices often made in successor‐led FF s which reduce value. Both sets of findings are relevant to FF executives and consultants. The policy implications of the study are that in advanced liberal market economies high‐quality capital market institutions are likely to contribute to FF outperformance vis‐à‐vis other types of publicly listed firms, but these findings may not hold in other types of national governance systems or in emerging markets.

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)0.001
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 score0.067
Threshold uncertainty score0.926

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.006
Open science0.0010.000
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 head0.041
GPT teacher head0.249
Teacher spread0.208 · 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