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Modelo de Identificación de Estrategias para Potencializar la Generación de Patentes a la Medida de la Institución de Educación Superior

dc.contributor.authorFigueroa Galvis, Neira Yolima
dc.contributor.authorOlaya Escobar, Erika Sofía
dc.contributor.authorCastro Silva, Hugo Fernando
dc.coverage.spatialColombiaen_US
dc.date.accessioned2025-10-08T21:49:46Z
dc.date.available2025-10-08T21:49:46Z
dc.date.issued2020-08-01
dc.identifier.issn0718-2724en_US
dc.identifier.urihttps://repositorioinstitucional.ufpso.edu.co/xmlui/handle/20.500.14167/5695
dc.description.abstractLa transferencia de conocimiento y tecnología desde las universidades aporta al desarrollo regional y favorece la innovación. El objetivo de este trabajo es proponer un modelo para la selección de estrategias de transferencia a la medida de las características contextuales de las Instituciones de Educación Superior de Colombia. Con este propósito se realizó un análisis comparativo cualitativo (QCA), mediante el cual se identificó la combinación de condiciones antecedentes que generan un output. La medida de rendimiento fue el número de patentes de invención concedidas y la aplicación empírica consideró 184 Instituciones de Educación Superior de Colombia. Los resultados del estudio identificaron diez configuraciones estratégicas que sugieren diferentes alternativas para potencializar la protección mediante mecanismos de transferencia y destaca “la productividad” y “la innovación por unidad territorial” como mejor predictor de patentes.en_US
dc.language.isospaen_US
dc.relationhttps://www.scielo.cl/scielo.php?pid=S0718-27242020000200081&script=sci_arttext&tlng=pten_US
dc.titleModelo de Identificación de Estrategias para Potencializar la Generación de Patentes a la Medida de la Institución de Educación Superioren_US
dc.title.translatedModel of Identification of Strategies to Potentiate the Generation of Patents Tailored to the Institution of Higher Educationen_US
dc.contributor.cvlacNeira Yolima Figueroa Galvis [0001646936]en_US
dc.contributor.cvlacErika Sofía Olaya Escobar [0000344435]en_US
dc.contributor.cvlacHugo Fernando Castro Silva [0001388686]en_US
dc.contributor.googlescholarNeira Yolima Figueroa Galvis [umIDtk8AAAAJ]en_US
dc.contributor.googlescholarErika Sofía Olaya Escobar [G36xL9wAAAAJ]en_US
dc.contributor.googlescholarHugo Fernando Castro Silva [vxtjgAoAAAAJ]en_US
dc.contributor.orcidNeira Yolima Figueroa Galvis [0000-0002-5200-9029]en_US
dc.contributor.orcidErika Sofía Olaya Escobar [0000-0001-6254-1169]en_US
dc.contributor.orcidHugo Fernando Castro Silva [0000-0001-6020-402X]en_US
dc.contributor.researchgateHugo Fernando Castro Silva [Hugo-Castro-Silva]en_US
dc.contributor.scopusErika Sofía Olaya Escobar [57201653595]en_US
dc.contributor.scopusHugo Fernando Castro Silva [57205121211]en_US
dc.description.abstractenglishThe transfer of knowledge and technology from universities contributes to regional development and favors innovation. The objective of this paper is to propose a model for the selection of transfer strategies adapted to the contextual characteristics of Higher Education Institutions of Colombia. For this purpose, a Qualitative Comparative Analysis (QCA) was performed, by which the combination of background conditions that generate an output is identified. The performance measure was the number of invention patents granted and the empirical application considered 184 Higher Education Institutions of Colombia. The results of the study identified ten strategic configurations that suggest different alternatives to potentiate protection through transfer mechanisms and highlights “productivity” and “innovation by territorial unit” as the best predictor of patents.en_US
dc.subject.proposaltransferencia de conocimiento y tecnologíaen_US
dc.subject.proposalInstituciones de Educación Superioren_US
dc.subject.proposalanálisis comparativo cualitativoen_US
dc.subject.proposalpatentesen_US
dc.subject.keywordsknowledge and technology transferen_US
dc.subject.keywordsHigher Education Institutionsen_US
dc.subject.keywordsqualitative comparative analysisen_US
dc.subject.keywordspatentsen_US
dc.publisher.facultyFacultad ingenieríasen_US
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTen_US
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