Knowledge and innovation management model in the mezcal industry in Mexico

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 opt...

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Main Authors: Antonia Terán-Bustamante, Sandra Nelly Leyva-Hernández, Antonieta Martínez-Velasco
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025004128
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author Antonia Terán-Bustamante
Sandra Nelly Leyva-Hernández
Antonieta Martínez-Velasco
author_facet Antonia Terán-Bustamante
Sandra Nelly Leyva-Hernández
Antonieta Martínez-Velasco
author_sort Antonia Terán-Bustamante
collection DOAJ
description 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.
format Article
id doaj-art-82ec0ad063b54b78bbecc138dd0c55bc
institution Kabale University
issn 2405-8440
language English
publishDate 2025-02-01
publisher Elsevier
record_format Article
series Heliyon
spelling doaj-art-82ec0ad063b54b78bbecc138dd0c55bc2025-01-27T04:22:03ZengElsevierHeliyon2405-84402025-02-01113e42032Knowledge and innovation management model in the mezcal industry in MexicoAntonia Terán-Bustamante0Sandra Nelly Leyva-Hernández1Antonieta Martínez-Velasco2Facultad de Ciencias Económicas y Empresariales, Universidad Panamericana, Ciudad de México, 03920, Mexico; Corresponding author.Tecnológico Nacional de México, Instituto Tecnológico del Valle de Etla, Abasolo S/N, Barrio del Agua Buena, Santiago Suchilquitongo, CP. 68030, Oaxaca, MexicoFacultad de Ingeniería, Universidad Panamericana, Ciudad de México, 03920, MexicoThis 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.http://www.sciencedirect.com/science/article/pii/S2405844025004128C0C020I3O10Q16
spellingShingle Antonia Terán-Bustamante
Sandra Nelly Leyva-Hernández
Antonieta Martínez-Velasco
Knowledge and innovation management model in the mezcal industry in Mexico
Heliyon
C0
C020
I3
O10
Q16
title Knowledge and innovation management model in the mezcal industry in Mexico
title_full Knowledge and innovation management model in the mezcal industry in Mexico
title_fullStr Knowledge and innovation management model in the mezcal industry in Mexico
title_full_unstemmed Knowledge and innovation management model in the mezcal industry in Mexico
title_short Knowledge and innovation management model in the mezcal industry in Mexico
title_sort knowledge and innovation management model in the mezcal industry in mexico
topic C0
C020
I3
O10
Q16
url http://www.sciencedirect.com/science/article/pii/S2405844025004128
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