Inteligencia artificial y toma de decisiones en Gestión empresarial; una revisión bibliométrica de la última década
DOI:
https://doi.org/10.31637/epsir-2026-1630Palabras clave:
Inteligencia Artificial, Toma de decisiones, Automatización de procesos, Aprendizaje automático, Evaluación de riesgos, Gestión Empresarial, NegociosResumen
Introducción: La inteligencia artificial (IA) está transformando la toma de decisiones empresariales al mejorar la eficiencia y reducir errores humanos, aunque su adopción enfrenta desafíos como la falta de conocimiento y los riesgos en ciberseguridad. Metodología: Este estudio emplea un enfoque bibliométrico utilizando la base de datos Scopus para revisar investigaciones recientes sobre la aplicación de la IA en el ámbito empresarial, identificando tendencias, autores e instituciones líderes en el campo. Resultados: Los hallazgos muestran que China, India y Estados Unidos lideran la producción científica, con China destacándose también en el registro de patentes. Las áreas más relevantes son machine learning y big data, aplicadas en gestión financiera, evaluación de riesgos y optimización de decisiones estratégicas. Discusión: La revisión evidencia la necesidad de fortalecer la colaboración internacional para el desarrollo tecnológico, así como de abordar barreras como la escasez de conocimiento especializado y los desafíos en seguridad digital. Conclusiones: El estudio resalta la importancia de continuar investigando y superando obstáculos para aprovechar plenamente el potencial de la inteligencia artificial en las empresas, consolidándola como una herramienta clave para la automatización, la predicción financiera y la toma de decisiones estratégicas.
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Derechos de autor 2025 Oscar Mauricio Bedoya Sánchez, Sandra Milena Pérez García, Heidy Lorena Osorio Oviedo, Juan Felipe Guzmán Pacheco
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