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dc.contributor.authorBerbegal-Mirabent, Jasmina
dc.contributor.authorLlopis-Albert, Carlos
dc.date.accessioned2020-05-22T15:19:08Z
dc.date.available2020-05-22T15:19:08Z
dc.date.issued2016-04
dc.identifier.citationBerbegal Mirabent, Jasmina; Llopis Albert, Carlos. Applications of fuzzy logic for determining the driving forces in collaborative research contracts. Journal of Business Research, 2016, 69(4), p. 1446-1451. Disponible en: <https://www.sciencedirect.com/science/article/abs/pii/S0148296315005469?via%3Dihub>. Fecha de acceso: 22 may. 2020. DOI: 10.1016/j.jbusres.2015.10.123.ca
dc.identifier.issn0148-2963ca
dc.identifier.urihttp://hdl.handle.net/20.500.12328/1541
dc.description.abstractThis study examines various factors (human capital, experience, attraction capacity, and profile) of technology centers that, according to the literature, affect the performance of science–industry R&D partnerships. The measure of performance is the income that R&D contracts generate divided by the number of clients that the research center has. The data sample considers technology centers operating in the region of Catalonia that act under the TECNIO umbrella brand. The analysis uses fsQCA methodology, which allows identifying a combination of causes that lead to the outcome. Results support the argument that different causal paths explain profitable R&D contracts.en
dc.format.extent27ca
dc.language.isoengca
dc.publisherElsevierca
dc.relation.ispartofJournal of Business Researchca
dc.relation.ispartofseries69;4
dc.rights© 2016 Elsevier Inc. All rights reserved.ca
dc.subject.otherCiènciaca
dc.subject.otherRecursos humanses
dc.subject.otherInvestigacióca
dc.subject.otherTecnologiaca
dc.subject.otherLògica difusaca
dc.subject.otherCienciaes
dc.subject.otherRecursos humanoses
dc.subject.otherInvestigaciónes
dc.subject.otherTecnologíaes
dc.subject.otherLógica difusaes
dc.subject.otherScienceen
dc.subject.otherHuman resourcesen
dc.subject.otherResearchen
dc.subject.otherTechnologyen
dc.subject.otherFuzzy logicen
dc.titleApplications of fuzzy logic for determining the driving forces in collaborative research contractsen
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/acceptedVersionca
dc.embargo.termscapca
dc.subject.udc00ca
dc.identifier.doihttps://dx.doi.org/10.1016/j.jbusres.2015.10.123ca


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