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Percepción de la calidad en restaurantes: un análisis mixto con redes neuronales

Author

Listed:
  • J. Patricia Munoz-Chávez
  • Asdrúbal López-Chau
  • David Valle-Cruz

Abstract

Este estudio se centra en identificar los factores que influyen en la percepción de la calidad del consumidor en restaurantes de servicio a mesa en el pueblo mágico Real del Monte, Hidalgo, México. La metodología se basa en dos perspectivas, en primer lugar, en el análisis de los factores más importantes de los resultados de una encuesta de 22 ítems por medio de redes neuronales artificiales aplicada a 320 comensales y, en segundo lugar, en la aplicación de entrevistas semiestructuradas a ocho comensales. Los hallazgos muestran que los aspectos fundamentales que influyen en la percepción de los consumidores son la capacidad del personal para responder preguntas, la música de fondo, así como la calidad y el sabor de los alimentos.

Suggested Citation

  • J. Patricia Munoz-Chávez & Asdrúbal López-Chau & David Valle-Cruz, 2022. "Percepción de la calidad en restaurantes: un análisis mixto con redes neuronales," Estudios Gerenciales, Universidad Icesi, vol. 38(165), pages 449-463, November.
    • Handle: RePEc:col:000129:020570
    DOI: 10.18046/j.estger.2022.165.5235
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    References listed on IDEAS

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    1. Diana Marcela Escandón Barbosa & Andrea Hurtado Ayala, 2014. "Los determinantes de la orientación exportadora y los resultados en las pymes exportadoras en Colombia," Estudios Gerenciales, Universidad Icesi, November.
    2. Cynthia Lizeth Martínez Aragón & Alejandro Arellano González & Ernesto A. Lagarda Leyva, 2022. "Cultura Organizacional y Competitividad de las Empresas Restauranteras y Hoteleras de Sonora, México," Revista Ciencias Administrativas (CADM), IIA, Universidad Nacional de La Plata, Instituto de Investigaciones Administrativas, Facultad de Ciencias Económicas, Universidad Nacional de La Plata, issue 19, pages 1-13, January-J.
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      More about this item

      Keywords

      calidad; restaurantes; turismo; redes neuronales artificiales; inteligencia artificial.;
      All these keywords.

      JEL classification:

      • M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
      • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
      • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques

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