De la incertidumbre a la precisión: Inteligencia artificial y su irrupción en la transformación gerencial

• Charles Pastor Torres Vásquez https://orcid.org/0000-0002-5716-2575
• Regina Terezzina Martínez García https://orcid.org/0000-0002-8693-8459
• Ana María Holgado Quispe https://orcid.org/0000-0002-7510-9188
• Miriam Corina Castro Rojas https://orcid.org/0000-0003-3547-9026

DOI: https://doi.org/10.52080/rvgluz.29.e12.43

Palabras clave: inteligencia artificial, toma de decisiones, gestión empresarial, modelos de gestión, innovación tecnológica

Resumen

El artículo explora la irrupción de las aplicaciones emergentes de la inteligencia artificial (IA) en la toma de decisiones gerenciales y la transformación de los modelos tradicionales de gestión en diversos sectores industriales. La investigación destaca cómo la IA ha mejorado la eficiencia y precisión en la gestión empresarial, especialmente en sectores como la manufactura, la salud y las finanzas. Los resultados indican que las tecnologías de IA han optimizado la toma de decisiones a través de algoritmos predictivos, sistemas de recomendación y automatización de procesos. El principal hallazgo del estudio es que la IA ha transformado profundamente los modelos tradicionales, facilitando la descentralización de las decisiones operativas y aumentando la adaptabilidad de las organizaciones. Para llevar a cabo este análisis, el estudio utilizó una revisión sistemática basada en la metodología PRISMA, identificando estudios clave entre 2018 y 2024. La importancia de esta investigación radica en la creciente adopción de IA a nivel mundial, resaltando su relevancia en el contexto mundial, donde las empresas enfrentan desafíos relacionados con la competitividad y la optimización de recursos. El estudio concluye que la integración de la IA en los procesos gerenciales es crucial para mejorar la eficiencia organizacional y enfrentar los desafíos.

Citas

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