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| Format: | Artículo científico |
| Language: | en |
| Published: |
Universidad Alberto Hurtado
2013
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| Online Access: | https://www.redalyc.org/articulo.oa?id=84727488010 |
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Table of Contents:
- Firm Segmentation as a Tool for R&D Policy Evaluation: Revisiting the Taxonomy of Firms Engaged in International R&D Networks Bruno Brandão Fischer José Molero Ingeniería clusters R&d policy evaluation eureka program european union 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. 2013 artículo científico 0718-2724 https://www.redalyc.org/articulo.oa?id=84727488010 en http://www.redalyc.org/revista.oa?id=847 Journal of Technology Management & Innovation application/pdf Universidad Alberto Hurtado Journal of Technology Management & Innovation (Chile) Num.2 Vol.8