Capitalising new knowledge through R&D alliances: evidence from Catalan technology centres

Science-industry R&D alliances have been a longstanding object of analysis in the literature as they are reinforced by the changing global economy and the fast-moving nature of technological research. In order to advance knowledge on how these alliances should be designed and managed, this paper...

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Detalles Bibliográficos
Autores: Berbegal Mirabent, Jasmina|||0000-0001-5145-2179, Torre Martínez, María del Rocío de la|||0000-0002-8662-8901, Gil Doménech, Maria Dolors
Tipo de recurso: artículo
Fecha de publicación:2020
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/359545
Acceso en línea:https://hdl.handle.net/2117/359545
https://dx.doi.org/10.1504/IJTM.2020.110123
Access Level:acceso abierto
Palabra clave:Knowledge management
Technology transfer
Science-industry
R&D alliance
Knowledge transfer
Technology centre
Gestió del coneixement
Transferència de tecnologia
Àrees temàtiques de la UPC::Economia i organització d'empreses
Descripción
Sumario:Science-industry R&D alliances have been a longstanding object of analysis in the literature as they are reinforced by the changing global economy and the fast-moving nature of technological research. In order to advance knowledge on how these alliances should be designed and managed, this paper examines whether the factors most valued by technology centres to engage in science-industry R&D alliances have an impact on the success of the alliance: planning, partner profile, trustworthiness, IPR protection issues and communication channels. The empirical application considers 58 technology centres located in the Spanish region of Catalonia from which data were collected. First, using factor analysis, we validate that items included in the survey are indeed grouped into the five factors identified in the literature review. Second, we use qualitative comparative analysis to explore which combination of factors best explains successful R&D alliances.