Mapeo temático de la inteligencia artificial en la administración: un enfoque bibliométrico usando análisis de co-palabras (2015–2024)

Autores/as

DOI:

https://doi.org/10.47909/ijsmc.205

Palabras clave:

bibliometría, análisis de co-palabras, inteligencia artificial, ciencias de la administración, negocios, contabilidad

Resumen

Objetivo. El objetivo de este estudio fue, por un lado, mapear las principales temáticas de la literatura sobre inteligencia artificial en administración y, por otro lado, explorar las relaciones entre dichos temas.

Diseño/Metodología/Enfoque. Se realizó un análisis de co-palabras sobre 15 835 artículos indexados en Scopus (2015–2024), empleando como unidad de análisis las palabras clave del autor en el área de administración. La red semántica se construyó con los 50 términos más frecuentes, aplicando normalización por asociación y el algoritmo Walktrap para la detección de clústeres.

Resultados/Discusión. Los resultados revelan que la literatura se organiza en torno a tres grupos temáticos. El primero se centra en interfaces conversacionales, el segundo en transformación digital y el tercero adopta un enfoque computacional. La estructura temática identificada refleja un campo en proceso de consolidación, con predominio de enfoques técnicos y una especialización funcional limitada.

Conclusiones. La investigación actual se centra más en el desarrollo metodológico que en su aplicación estratégica en contextos organizativos específicos. Estos hallazgos ponen de manifiesto la necesidad de enfoques más integrales que articulen tecnología, gestión y gobernanza, así como de una agenda futura centrada en su adopción desde perspectivas sociotécnicas.

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2025-07-10

Cómo citar

Salgado-García, J. A., Terán-Bustamante, A., & Velázquez-Salazar, M. (2025). Mapeo temático de la inteligencia artificial en la administración: un enfoque bibliométrico usando análisis de co-palabras (2015–2024). Iberoamerican Journal of Science Measurement and Communication, 5(3), 1–11. https://doi.org/10.47909/ijsmc.205

Número

Vol. 5 Núm. 3 (2025): Iberoamerican Journal of Science Measurement and Communication

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Artículo original

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Derechos de autor 2025 Jorge Arturo Salgado-García, Antonia Terán-Bustamante, Marisol Velázquez-Salazar

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