dc.creator | Brandao Fischer, Bruno | |
dc.creator | Molero, José | |
dc.date | 2014-09-05T22:58:30Z | |
dc.date | 2014-09-05T22:58:30Z | |
dc.date | 2013 | |
dc.date.accessioned | 2018-04-19T21:05:14Z | |
dc.date.available | 2018-04-19T21:05:14Z | |
dc.identifier | Journal of Technology Management & Innovation 8(2): 2013, p. 119-131 | |
dc.identifier | e0718-2724 | |
dc.identifier | 1092-2364-2-PB.pdf | |
dc.identifier | http://repositorio.uahurtado.cl/handle/11242/2165 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1370992 | |
dc.description | As 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.language | eng | |
dc.publisher | Universidad Alberto Hurtado. Facultad de Economía y Negocios | |
dc.rights | Attribution 3.0 Unported | |
dc.rights | http://creativecommons.org/licenses/by/3.0/ | |
dc.subject | R&D Policy | |
dc.subject | Evaluation | |
dc.subject | Eureka Program | |
dc.subject | Clusters | |
dc.subject | European Union | |
dc.title | Firm Segmentation as a Tool for R&D Policy Evaluation: Revisiting the Taxonomy of Firms engaged in International R&D Networks | |
dc.type | Artículos de revistas | |