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Record W4396950179 · doi:10.21503/cyd.v27i2.2606

DESARROLLO DE ESTRATEGIAS EMPRESARIALES SOSTENIBLES CON EL USO DE TECNOLOGÍAS EMERGENTES

2024· article· es· W4396950179 on OpenAlexaff
Tatiana Aracely Vera Calderón, Emily Kharimy Parrales Sánchez, Mayerli Tatiana Piguave Vargas, Jostin Steven Zambrano Luzardo

Bibliographic record

VenueCiencia y Desarrollo · 2024
Typearticle
Languagees
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsPurdue Pharma (Canada)
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Este estudio analiza el desarrollo de estrategias empresariales sostenibles mediante el uso de tecnologías emergentes. Para ello se empleó la revisión de literatura, análisis de datos, revisión de casos de estudio, análisis de tendencias y síntesis de resultados. Entre sus resultados se identificó un creciente reconocimiento de las tecnologías emergentes como motores de sostenibilidad empresarial, con ejemplos destacados como Tesla y Google. Según una encuesta de TechInsights, el 54% de las empresas encuestadas creen que las tecnologías emergentes pueden desempeñar un papel vital en el avance de su progreso hacia la sostenibilidad, mientras que un 41% adicional considera que estas tecnologías tienen un potencial positivo. Por esta razón la adopción de estas tecnologías se presenta como una estrategia clave para mejorar la eficiencia operativa, diferenciarse en el mercado y cumplir con regulaciones ambientales. De este modo, se concluye el potencial de las tecnologías para impulsar la sostenibilidad empresarial y sugiere que su adopción efectiva puede conducir a beneficios económicos, sociales y ambientales significativos.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), 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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.285
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.036
GPT teacher head0.259
Teacher spread0.224 · 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

Citations0
Published2024
Admission routes1
Has abstractyes

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