dc.creatorBrandao Fischer, Bruno
dc.creatorMolero, José
dc.date2014-09-05T22:58:30Z
dc.date2014-09-05T22:58:30Z
dc.date2013
dc.date.accessioned2018-04-19T21:05:14Z
dc.date.available2018-04-19T21:05:14Z
dc.identifierJournal of Technology Management & Innovation 8(2): 2013, p. 119-131
dc.identifiere0718-2724
dc.identifier1092-2364-2-PB.pdf
dc.identifierhttp://repositorio.uahurtado.cl/handle/11242/2165
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1370992
dc.descriptionAs we have addressed in an earlier article, quantitative evaluation of R&D policies often approaches the outcomes of initiatives without effectively considering differential impacts on economic agents. Our goal is to confirm the existence of �segments� of firms according to their outcomes arising from participation in a given R&D program. Data is gathered from Eureka Program�s Final Reports (2000-2005 and 2006-2008) from Spanish, Italian, French, British, and German firms. Classification focus is directed towards variables related to innovation projects� outcomes. Log-likelihood clustering method was used. Tests for differences between clusters in terms of some variables of interest were performed. Results are consistent with the hypothesis of marked heterogeneity in firms� outcomes. This methodology offers a valuable instrument for RTD policymakers in terms of monitoring and ex post intervention.
dc.languageeng
dc.publisherUniversidad Alberto Hurtado. Facultad de Economía y Negocios
dc.rightsAttribution 3.0 Unported
dc.rightshttp://creativecommons.org/licenses/by/3.0/
dc.subjectR&D Policy
dc.subjectEvaluation
dc.subjectEureka Program
dc.subjectClusters
dc.subjectEuropean Union
dc.titleFirm Segmentation as a Tool for R&D Policy Evaluation: Revisiting the Taxonomy of Firms engaged in International R&D Networks
dc.typeArtículos de revistas


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