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Knowledge, innovation, and outcomes in craft beer: Theoretical framework and fuzzy-set qualitative comparative analysis

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Knowledge, innovation, and outcomes in craft beer: Theoretical framework and fuzzy-set qualitative comparative analysis

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Cabrera-Flores, MR.; Peris-Ortiz, M.; León-Pozo, A. (2020). Knowledge, innovation, and outcomes in craft beer: Theoretical framework and fuzzy-set qualitative comparative analysis. Journal of Intelligent & Fuzzy Systems. 38(5):5369-5378. https://doi.org/10.3233/JIFS-179630

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Título: Knowledge, innovation, and outcomes in craft beer: Theoretical framework and fuzzy-set qualitative comparative analysis
Autor: Cabrera-Flores, Mayer R. Peris-Ortiz, Marta León-Pozo, Alicia
Entidad UPV: Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses
Fecha difusión:
Resumen:
[EN] This paper explores the relationship between knowledge, innovation, and profit-making in the craft beer industry in Baja California, Mexico. The research highlights the cultural nature of this industry, in which the ...[+]
Palabras clave: Craft beer industry , Tacit knowledge , Explicit knowledge , Formal learning , Fuzzy-set Qualitative Comparative Analysis (FsQCA)
Derechos de uso: Cerrado
Fuente:
Journal of Intelligent & Fuzzy Systems. (issn: 1064-1246 )
DOI: 10.3233/JIFS-179630
Editorial:
IOS Press
Versión del editor: https://doi.org/10.3233/JIFS-179630
Código del Proyecto:
info:eu-repo/grantAgreement/CONACyT//1241/
Agradecimientos:
We thank the National Council of Science and Technology (CONACYT) for the support and funding granted to develop Project 1241 in the 2015 call for proposals in Addressing National Problems.
Tipo: Artículo

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