Publication:
Capital stock and performance of R&D organizations: A dynamic DEA-ANP hybrid approach

Simple item page
dc.citedby3
dc.contributor.authorWu Y.-C.en_US
dc.contributor.authorKweh Q.L.en_US
dc.contributor.authorLu W.-M.en_US
dc.contributor.authorHung S.-W.en_US
dc.contributor.authorChang C.-F.en_US
dc.contributor.authorid57013722100en_US
dc.contributor.authorid55661469500en_US
dc.contributor.authorid25625212800en_US
dc.contributor.authorid7201936131en_US
dc.contributor.authorid57190129308en_US
dc.date.accessioned2023-05-29T06:13:42Z
dc.date.available2023-05-29T06:13:42Z
dc.date.issued2016
dc.description.abstractAssessing resource allocation in R&D organizations is an important issue that requires a comprehensive measure to characterize it. To provide a greater picture, we first construct a dynamic three-stage network DEA model, which evaluates the R&D efficiency, technology-diffusion efficiency, and value-creation efficiency of Taiwanese R&D organizations over the period 2005�2009. Before integrating window analysis and network data envelopment analysis (DEA) to estimate dynamic efficiencies, we apply Analytic Network Process (ANP) to determine the relative importance of each stage. Subsequently, we employ panel data regression to examine whether the capital stock of patents, quality of human resources, and capability of service support affect the dynamic efficiencies of the R&D organizations. Our findings show that the mean R&D efficiency score is greater than that of the technology-diffusion efficiency, with the value-creation efficiency score being the lowest, suggesting that R&D organizations have to firstly work on improving the technology-diffusion inefficiency, and finally improving the value-creation inefficiency. Our panel data regression analysis indicates that the capital stock of patents do affect the efficiencies of the R&D organizations, even including the quality of human resources and capability of service support. That is, managers should focus on technological development and innovation to improve their corporate performance. � Springer Science+Business Media New York 2016.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-1-4899-7705-2_7
dc.identifier.epage186
dc.identifier.scopus2-s2.0-84977548226
dc.identifier.spage167
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84977548226&doi=10.1007%2f978-1-4899-7705-2_7&partnerID=40&md5=4af80f2799fc5c4cbf3bf149349eece4
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/22958
dc.identifier.volume239
dc.publisherSpringer New York LLCen_US
dc.sourceScopus
dc.sourcetitleInternational Series in Operations Research and Management Science
dc.titleCapital stock and performance of R&D organizations: A dynamic DEA-ANP hybrid approachen_US
dc.typeBook Chapteren_US
dspace.entity.typePublication
Files
Collections
SCOPUS