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    Title: How Should We Measure Research and Development Collaboration Performance?
    Authors: 吳豐祥
    Yao, Chen-Yen;Wu, Feng-Shang
    Contributors: 科管所
    Keywords: research and development;R&D;R&D collaboration;collaborative R&D;system model;performance
    Date: 2010-08
    Issue Date: 2010-10-06 10:33:20 (UTC+8)
    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.
    Relation: International Journal of Learning and Intellectual Capital, 7(3), 360-373
    Data Type: article
    Appears in Collections:[Graduate Institute of TIPM] Periodical Articles

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