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Aplicación de la inteligencia artificial en la gestión empresarial

Authors: Morales Carrillo, Jhesu Marisol; Bermúdez Lares, José Pablo; Castañeda Romero, Nadia Elizabeth; Hernández Cortez, Juan Rafael; Padilla López, Alan Azael;

Aplicación de la inteligencia artificial en la gestión empresarial

Abstract

La transformación digital ha situado a la inteligencia artificial (IA) como un recurso estratégico clave en la gestión empresarial. Su capacidad para automatizar procesos, optimizar la toma de decisiones y personalizar la experiencia del cliente la posiciona como un motor de innovación y competitividad. No obstante, su adopción enfrenta barreras significativas, entre las que destacan la limitada preparación técnica de los profesionales, la resistencia organizacional al cambio y los dilemas éticos asociados al uso de datos y la privacidad. Este artículo presenta una investigación documental de carácter descriptivo que tiene como objetivo analizar de manera integral los beneficios, desafíos y perspectivas del uso de la IA en el ámbito empresarial. Para ello, se revisan fuentes académicas, informes técnicos y estudios de caso que permiten identificar patrones, experiencias y propuestas en contextos organizacionales diversos. El contenido se organiza en torno a tres ejes principales: automatización de procesos, apoyo en la toma de decisiones y personalización de servicios. En cada apartado se describen tanto las ventajas como las limitaciones observadas en la implementación de soluciones basadas en IA. La investigación concluye con recomendaciones orientadas a una integración efectiva y ética de estas tecnologías, destacando la importancia de la capacitación del capital humano, el diseño de políticas organizacionales claras y la adopción de marcos regulatorios adecuados. Este trabajo busca contribuir al debate académico y profesional sobre la incorporación responsable de la IA en la gestión empresarial, promoviendo prácticas sostenibles e innovadoras. 

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green