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Record W1780374166 · doi:10.29105/rinn8.16-3

Recomendaciones de Liderazgo para los Dueños de Pymes Familiares Exportadoras y no Exportadoras en Nuevo León

2017· article· en· W1780374166 on OpenAlexaff
María Eloisa Treviño Ayala, Paula Villalpando Cadena, David Fernando Lozano Treviño, José Codina

Bibliographic record

VenueRevista Innovaciones de Negocios · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicFamily Business Performance and Succession
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesFamily businessPolitical scienceBusinessEconomyBusiness administrationArtEconomics

Abstract

fetched live from OpenAlex

Key Word: Family business; leaders, owners or managers, profits, SME’s business; SME’s exportingAbstract: The main purpose of this document is to state the importance that small and medium-sized enterprises (SMEs) exporting and non-exporting have, as well as family businesses in Mexico´s economy and specifically in the state of Nuevo Leon. It establishes certain family SMEs, exporting and non-exporting, characteristics to take into consideration by Nuevo Leon leaders that seek success under the determinant of profits. It also locates qualities, from our stand point, classic and contemporaries, recommended for managers and administrators of this type of companies.Palabras Clave: Dueños o administradores, ganancias, líderes, negocios familiares; Pymes, Pymes exportadorasResumen: El presente documento tiene como finalidad plasmar la importancia que tienen las pequeñas y medianas empresas (Pymes) familiares, exportadoras y no exportadoras en la economía de México y específicamente en el estado de Nuevo León. Se establecen ciertas características a considerar de las Pymes familiares exportadoras por los líderes nuevoleoneses que buscan el éxito bajo la determinante del aumento de las ganancias. Igualmente se ubican cualidades, a nuestro juicio, clásicas y contemporáneas, recomendadas para directivos y administradores de este tipo de compañías.

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)0.001
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.543
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0020.004
Open science0.0010.001
Research integrity0.0000.001
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 head0.027
GPT teacher head0.287
Teacher spread0.260 · 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 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

Citations1
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueRevista Innovaciones de NegociosSame topicFamily Business Performance and SuccessionFrench-language works237,207