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Knowledge, innovation, and outcomes in craft beer: Theoretical framework and fuzzy-set qualitative comparative analysis
Journal of Intelligent & Fuzzy Systems ( IF 1.7 ) Pub Date : 2020-05-29 , DOI: 10.3233/jifs-179630
Mayer R. Cabrera-Flores 1 , Marta Peris-Ortiz 2 , Alicia León-Pozo 1
Affiliation  

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 depth of culture and tradition bolster the capacity for innovation. One source of interest in the study of cultural industries is the importance of businesses in regional development, as is happening in the Baja California region with craft beer. At its core, this study draws on the SECI model as a reference to highlight the different ways in which knowledge and learning combine to produce new forms of processes or products or break into new market segments. This empirical study is based on the fuzzy-set qualitative comparative analysis method (FsQCA), which serves to identify sequences or combinations of knowledge and learning that lead to innovation and profit.

中文翻译:

精酿啤酒中的知识,创新和成果:理论框架和模糊集定性比较分析

本文探讨了墨西哥下加利福尼亚州精酿啤酒行业中知识,创新和获利之间的关系。该研究突出了该行业的文化本质,其中文化和传统的深度增强了创新能力。研究文化产业的兴趣之一是,企业在区域发展中的重要性,就像在下加利福尼亚州地区生产精酿啤酒一样。本研究以SECI模型为核心,以强调知识和学习相结合以产生新形式的过程或产品或进入新的市场领域的不同方式。该实证研究基于模糊集定性比较分析方法(FsQCA),
更新日期:2020-06-19
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