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Record W4396596514 · doi:10.29105/revin21.41-440

Motivos, Factores de Éxito y Barreras en el Emprendimiento en las PYMES en México

2024· article· es· W4396596514 on OpenAlexaff
Yves Robichaud, Jean‐Charles Cachon, José Codina, Pablo Guerra Rodríguez

Bibliographic record

VenueRevista Innovaciones de Negocios · 2024
Typearticle
Languagees
FieldBusiness, Management and Accounting
TopicEntrepreneurship Studies and Influences
Canadian institutionsLaurentian University
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Las PYMES son una parte importante de la economía de México en términos de creación de empleo y del producto interno bruto (PIB). Por lo tanto, es esencial comprender mejor cómo se crean y desarrollan las PYME para construir una economía más fuerte. El objetivo de este estudio fue determinar las motivaciones de los emprendedores mexicanos, los factores de éxito que valoran y los obstáculos que enfrentan. Para lograr esto, esta investigación identificó y analizó los motivos emprendedores, los factores de éxito y los obstáculos experimentados por una muestra de 278 emprendedores en el México urbano. Los resultados muestran que los emprendedores en México están motivados principalmente por objetivos económicos, ya que cuatro de los seis objetivos principales identificados por los propietarios de empresas eran extrínsecos. En términos de factores de éxito, los empresarios mexicanos prefieren aquellos relacionados con las características personales y del producto/servicio, mientras que las dificultades relacionadas con encontrar personal confiable, así como las debilidades del entorno económico mexicano, fueron los principales obstáculos por parte de los encuestados.

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), 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 score0.775
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
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0030.002
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 head0.013
GPT teacher head0.283
Teacher spread0.270 · 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

Citations2
Published2024
Admission routes1
Has abstractyes

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