Management of scientific and ancestral knowledge: a decision-making model in mezcal industry in Mexico.

Journal: Frontiers in artificial intelligence
Published Date: May 21, 2025

Abstract

INTRODUCTION: Knowledge management is essential to ensure the sustainability of rural communities and small producers since it generates value for innovation, productivity, and competitiveness. The aim of this study is to identify relevant factors for adequate decision-making in managing knowledge in the Mexican mezcal industry and its impact on developing rural communities and small producers - mezcaleros. For this purpose, a decision-making model for managing scientific and ancestral knowledge is created to support links with universities, research centers, and rural communities to accelerate innovation and competitiveness in this sector.

Authors

  • Antonia Terán-Bustamante
    Universidad Panamericana, Facultad de Ciencias Económicas y Empresariales, Ciudad de México, Mexico.
  • Antonieta Martínez-Velasco
    Facultad De Ingeniería, Universidad Panamericana , Ciudad De México, Mexico.
  • Sandra Nelly Leyva-Hernández
    Tecnológico Nacional de México, Instituto Tecnológico del Valle de Etla, Oaxaca, Mexico.

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