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STIM12 creativity model for the design lady shoes under the approach of fuzzy subsets

Jaime Tinto Arandes (), Kléber Antonio Luna Altamirano (), William Henry Sarmiento Espinoza () and Diego Patricio Cisneros Quintanilla ()
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Jaime Tinto Arandes: Doctor en Ciencias Económicas y Empresariales, Universidad de Barcelona, España. Docente e Investigador, Centro de Investigaciones de Ciencias Sociales y Administrativas, Universidad Católica de Cuenca, Ecuador.
Kléber Antonio Luna Altamirano: Magister en Administración de Empresas, Universidad de Guayaquil, Ecuador. Docente e Investigador Centro de Investigaciones de Ciencias Sociales y Administrativas, Universidad Católica de Cuenca, Ecuador.
William Henry Sarmiento Espinoza: Magister en Didáctica de las Matemáticas, Universidad de Cuenca, Ecuador. Docente e Investigador, Centro de Investigaciones de Ciencias Sociales y Administrativas, Universidad Católica de Cuenca, Ecuador.
Diego Patricio Cisneros Quintanilla: Magister en Administración de Empresas, Universidad de Guayaquil, Ecuador. Docente e Investigador, Centro de Investigaciones de Ciencias Sociales y Administrativas, Universidad Católica de Cuenca, Ecuador.

Economía, 2017, vol. 42, issue 44, 129-152

Abstract: Canton Gualaceo, Province of Azuay, Ecuador, is characterized by the production of handmade footwear, artisans have seen the need to launch new products that capture the a" ention of customers. To this end, a group of experts in the manufacture of shoes has been assembled in order to apply a model based on fuzzy logic, using the STIM12 method, for the design and innovation of a new footwear in the ladies segment, in particular a boot, in which all the possible elements that catch the tastes and preferences of the female consumer are considered. This introduces an innovative method for the creation and acceptance in the market of a new product.

Keywords: Footwear; creativity; innovation; fuzzy subsets. (search for similar items in EconPapers)
JEL-codes: O32 C02 C45 (search for similar items in EconPapers)
Date: 2017
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