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Knowledge and innovation management model in the mezcal industry in Mexico

Journal
Heliyon
ISSN
2405-8440
Publisher
Elsevier
Date Issued
2025
Author(s)
Leyva-Hernández, Sandra Nelly
Type
Resource Types::text::journal::journal article
DOI
10.1016/j.heliyon.2025.e42032
URL
https://scripta.up.edu.mx/handle/20.500.12552/11861
Abstract
This research aims to study and analyze knowledge management in the mezcal sector in Mexico and its impact on the development of rural communities through Bayesian-networks with machine learning techniques. A model is made in which the critical factors that impact is identified and quantified to optimally manage the knowledge that generates value and translates into innovation and competitive advantages. The results show that the most relevant factors to adequate knowledge and innovation management are commercialization and marketing capacity, value system model, ancient knowledge, strategic business model, process management, competencies, Business structure model, Facilitators governments, universities, mezcaleros, and indigenous communities. ©The authors ©Elsevier Ltd.
Subjects

Ancestral knowledge

Indigenous communitie...

Management model

Sustainability

Agave-mezcal

Mexico

Bayesian networks

Machine learning

Denomination of origi...

License
Acceso Abierto
URL License
https://creativecommons.org/licenses/by-nc-sa/4.0/
How to cite
Terán-Bustamante, A., Leyva-Hernández, S. N., & Martínez-Velasco, A. (2025). Knowledge and innovation management model in the mezcal industry in Mexico. In Heliyon (Vol. 11, Issue 3, p. e42032). Elsevier BV. https://doi.org/10.1016/j.heliyon.2025.e42032

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