ORIGINAL RESEARCH article
Front. Artif. Intell.
Sec. AI in Business
Volume 8 - 2025 | doi: 10.3389/frai.2025.1570617
Management of scientific and ancestral knowledge: a decision-making model in Mezcal Industry in Mexico
Provisionally accepted
- 1Universidad Panamericana, Facultad de Ciencias Económicas y Empresariales, Ciudad de México, Mexico
- 2Universidad Panamericana, Mexico, Mexico
- 3Tecnológico Nacional de México, Instituto Tecnológico del Valle de Etla, Oaxaca, Mexico
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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. The analysis methods were carried out through decision-making, machine-learning techniques, and fuzzy logic. This knowledge management model aims to guide small producers to be more productive and competitive through the support of a facilitator, such as universities and research centers. The evidence shows that the most relevant factors for adequate decision-making in managing knowledge are the Mezcaleros Indigenous community, the Denomination of Origin, Scientific and Ancestral Knowledge, Waste Management and Use, and Jima.
Keywords: scientific and ancestral knowledge, Indigenous communities, Decision-making model, sustainability, Mexico, Fuzzy logic model, machine learning, Low-tech
Received: 04 Feb 2025; Accepted: 06 May 2025.
Copyright: © 2025 Terán-Bustamante, Martínez-Velasco and Leyva-Hernández. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Antonia Terán-Bustamante, Universidad Panamericana, Facultad de Ciencias Económicas y Empresariales, Ciudad de México, Mexico
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