Tecnología en máquinas de venta automatizadas, retail automatizado y quioscos de autoservicio: análisis bibliométrico de la literatura científica desde 1994 hasta 2024
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https://doi.org/10.47058/joa15.9Palabras clave:
Innovación, sostenibilidad, experiencia del usuario, automatización, eficiencia operativaResumen
Las máquinas expendedoras han evolucionado hacia sistemas automatizados mediante la integración de tecnologías digitales, inteligencia artificial y soluciones de autoservicio. Este estudio tiene como objetivo analizar las tendencias investigativas sobre tecnología de máquinas de ventas mediante un análisis bibliométrico de la literatura científica publicada entre 1994 y 2024. La investigación siguió los lineamientos de la declaración PRISMA-2020 y utilizó información procedente de las bases de datos Scopus y Web of Science, identificando un corpus final de 97 artículos después de aplicar los criterios de selección establecidos. Los resultados evidencian un crecimiento de la producción científica, con un incremento del 99,33% durante el periodo analizado y una mayor concentración de publicaciones en 2023. Asimismo, se identificaron autores, revistas y países con mayor influencia en el campo, además de una evolución temática desde enfoques iniciales relacionados con Technology Mapping hacia tendencias actuales asociadas con Technology Adoption, Virtual Reality, Waste Management y Quick-Service Restaurant. El análisis de coocurrencia permitió identificar nueve clústeres temáticos, mientras que las palabras clave emergentes como Community Change, New Technologies, Customer Value y Sustainability muestran nuevas oportunidades de investigación relacionadas con tecnología, usuarios y sostenibilidad.
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Derechos de autor 2026 Diego Fernando Alarcón Vargas, Brayan Smit Ruiz Ruiz, Camilo Andrés Domínguez Saldaña, Fredy Andrés Tijaro Sierra, Alejandro Valencia-Arias, Camilo Andrés Echeverri Gutiérrez
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
