 How should we measure collaborative research and development performance?Chen-Yen Yao and Feng-Shang Wu International Journal of Learning and Intellectual Capital, 2010, vol. 7, issue 3/4, 360-373 Abstract: With 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. Keywords: research and development; R&D collaboration; collaborative R&D; systems modelling; performance measurement; accelerated innovation. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijlica:v:7:y:2010:i:3/4:p:360-373 Access Statistics for this article More articles in International Journal of Learning and Intellectual Capital from Inderscience Enterprises Ltd |
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