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Record W2077768258 · doi:10.5539/ibr.v3n1p22

Family Businesses’ Views on Internationalization: Do they Differ by Generations?

2009· article· en· W2077768258 on OpenAlexvenueno aff
Sam C. Okoroafo, Anthony C. Koh

Bibliographic record

VenueInternational Business Research · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsnot available
FundersUniversity of Toledo
KeywordsInternationalizationCompetitor analysisBusinessConsistency (knowledge bases)Family businessMarketingThird generationExploratory researchInternational tradeSociology

Abstract

fetched live from OpenAlex

The purpose of this exploratory study is to compare the views on internationalization (i.e., global business attitudes) of family businesses run by ‘first’, ‘second’ and ‘third’generation owners. It is common to investigate/ acertain different generational perspectives and its impact on strategy and performance. It is hoped that conclusions can be derived as to the impact of succeeding generational owners on internationalization. A mail survey of US family business owners based in Ohio was conducted. The results revealed remarkable consistency and similarity in views pertaining to internationalization by the first, second, and third generation owners. Family business owners irrespective of their generation do not monitor foreign markets, desire relations with foreign family owned businesses, etc. They also felt their businesses were not affected by foreign competitors.

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)0.002
metaresearch head score (Gemma)0.007
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 score0.008
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.082
GPT teacher head0.359
Teacher spread0.277 · 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

Citations23
Published2009
Admission routes1
Has abstractyes

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