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Record W3173076618 · doi:10.47189/rcct.v18i18.170

La responsabilidad social empresarial y el éxito competitivo de las micro, pequeñas y medianas empresas del cantón Jipijapa

2018· article· es· W3173076618 on OpenAlexaff
Miguel Ángel Jaime Baque, Amparo Bienvenida Baque Morán, Soledispa Rodríguez, Xavier Enrique, Cantos Figueroa, Mariana de Lourdes, Carlos Eduardo Merchán Conforme

Bibliographic record

VenueRevista Científica Ciencia y Tecnología · 2018
Typearticle
Languagees
FieldSocial Sciences
TopicHigher Education and Sustainability
Canadian institutionsMicrosemi (Canada)
Fundersnot available
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La objetividad y relevancia de esta investigación fue interpretar los factores que inciden en el cumplimiento de la responsabilidad social empresarial en el éxito competitivo de las pequeñas y medianas empresas, como eje prioritario en las funciones gerenciales. El trabajo investigativo enfoca la RSE en el ámbito de las mipymes del cantón Jipijapa. La metodología fue una investigación de campo, exploratoria, bibliográfica y de carácter descriptiva. Los resultados muestran que más de la mitad de las mipymes no están realizando actividades de responsabilidad social, relacionada con la calidad de vida de la empresa, el cuidado del medio ambiente, vinculación con la comunidad y el profesionalismo ético. Es decir, ninguna de las empresas cumple a cabalidad lo que es el término socialmente responsables, solo se limitan al trato e imagen ante el cliente. Desde este enfoque fue importante aportar con iniciativas innovadoras para los directivos en la efectiva toma de decisiones empresariales.

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)0.003
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 score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0030.003
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.001

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 head0.017
GPT teacher head0.351
Teacher spread0.335 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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