Savouring Peru through Tourists' Profiles: An Artificial Neural Networks Perspective

Autores/as

  • Franklin Cordova-Buiza Universidad Privada del Norte
  • Miguel Ángel Solano-Sánchez Universidad de Córdoba
  • Lucía Castaño-Prieto Universidad de Córdoba https://orcid.org/0000-0002-6440-2506
  • Tomás López-Guzmán Universidad de Córdoba, afiliación secundaria: Instituto Andaluz de Investigación e Innovación en Turismo (IATUR https://orcid.org/0000-0001-8800-8223

DOI:

https://doi.org/10.25145/j.pasos.2027.25.012

Palabras clave:

turismo gastronómico, comportamiento del turista, segmentación de mercado, redes neuronales artificiales, Perú

Resumen

El objetivo de esta investigación es determinar las variaciones que se producen en diferentes constructos sobre la importancia de la gastronomía —motivación para viajar, intención de visitar destinos concretos, aspectos y experiencias gastronómicas, y emociones— según el perfil sociodemográfico de los turistas (edad, género, estudios universitarios e ingresos). A partir de 1.042 cuestionarios válidos, se desarrolló una red neuronal artificial empleando las características del perfil sociodemográfico como variables de entrada. Este enfoque resulta útil para el desarrollo de productos y servicios adaptados a turistas interesados en gastronomía. Los resultados muestran que la edad es la variable más influyente en el modelo, siendo los turistas más jóvenes quienes atribuyen valores más elevados a los constructos analizados. Estos hallazgos contribuyen a la investigación sobre turismo gastronómico en Perú y ofrecen orientaciones prácticas para la segmentación de mercado y la gestión de destinos turísticos.

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Revisores/as por pares 
2
2,4

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Declaraciones de autoría

Declaraciones de autoría
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Disponibilidad de datos 
N/D
16%
Financiación externa 
No
32%
Conflictos de intereses 
N/D
11%
Metric
Esta revista
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Artículos aceptados 
55%
33%
Días para la publicación 
187
145

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Editor y equipo editorial
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Editorial 
Instituto Universitario de Investigación Social y Turismo. Universidad de La Laguna (España) - Instituto Universitario da Maia ISMAI (Portugal)

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Publicado

2026-09-20

Cómo citar

Cordova-Buiza, F., Solano-Sánchez, M. Ángel, Castaño-Prieto, L., & López-Guzmán, T. (2026). Savouring Peru through Tourists’ Profiles: An Artificial Neural Networks Perspective. PASOS Revista De Turismo Y Patrimonio Cultural, 25(1). https://doi.org/10.25145/j.pasos.2027.25.012