Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/45541
DC FieldValueLanguage
dc.contributor科管所-
dc.creator吳豐祥zh_TW
dc.creatorYao, Chen-Yen;Wu, Feng-Shang-
dc.date2010-08en_US
dc.date.accessioned2010-10-06T02:33:20Z-
dc.date.available2010-10-06T02:33:20Z-
dc.date.issued2010-10-06T02:33:20Z-
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/45541-
dc.description.abstractWith the rapid growth of information technologies, collaborative R&D has become an important issue. Previous research indicates that R&D collaboration is a means to accelerate the commercialisation of new technologies, create new business, and reduce risk. Numerous studies focus on the benefits, importance, risks and disadvantages of R&D cooperation. Yet, performance measurements of R&D collaboration have received only scarce attention. While implementing R&D collaboration, it is believed that managers will not be able to efficiently manage new product development without clear performance measurements. This study investigates the measurement of R&D collaboration performance. The performance measurement of collaborative R&D can be divided into five categories: knowledge, efficiency, resources, markets, and relationships. This study highlights the importance of the measurements of R&D collaboration, including measurements of input, process, output, and outcome. These findings lead to important implications for R&D collaboration in pursuit of accelerated innovation.-
dc.language.isoen_US-
dc.relationInternational Journal of Learning and Intellectual Capital, 7(3), 360-373en_US
dc.subjectresearch and development; R&D; R&D collaboration;collaborative R&D; system model; performance-
dc.titleHow Should We Measure Research and Development Collaboration Performance?en_US
dc.typearticleen
item.grantfulltextrestricted-
item.openairetypearticle-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.languageiso639-1en_US-
item.cerifentitytypePublications-
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