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Record W2593015913

Las empresas familiares. Tendencias investigativas

2017· article· es· W2593015913 on OpenAlexaboutno aff
Jimmy Javier Jara Nivelo, Betilde Josefina Contreras Caicedo, Rómulo Alejandro Barba López

Bibliographic record

VenueRevista Publicando · 2017
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceScopusHumanitiesEconomyEconomicsPhilosophyLaw
DOInot available

Abstract

fetched live from OpenAlex

Esta investigacion se propuso realizar una revision de la literatura existente sobre empresas familiares para poder detectar las tendencias en las investigaciones reportadas al respecto. Para ello se realizo una revision en Scopus para la aparicion del termino “family business” en el titulo de los documentos y se obtuvieron un total de 1163 referencias. El analisis permitio  concluir que el mayor por ciento de las investigaciones realzadas se concentro en las disciplina de Negocios, Gestion y Contabilidad y que el pais que mas ha publicado es USA, seguido de Canada, Italia y Espana y que solo dos paises de habla hispana (Espana y Chile) han publicado en el tema. Se determinaron los articulos seminales fundamentales en el tema. El analisis de las publicaciones en idioma espanol permitio determinar cinco enfoques fundamentales en este campo: analisis de los procesos de relevo generacional, evolucion de empresas familiares,  estrategias empresariales y resultados economicos, dinamica de las relaciones intrafamiliares y efectos sobre la empresa y como  las condiciones del entorno inciden en la permanencia y desarrollo de las empresas familiares.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.421
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0160.009
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.269
Teacher spread0.236 · 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; both teacher heads agree on what is shown here.

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

Citations3
Published2017
Admission routes1
Has abstractyes

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