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How should we measure collaborative research and development performance?

Author

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  • Chen-Yen Yao
  • Feng-Shang Wu

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.

Suggested Citation

  • Chen-Yen Yao & Feng-Shang Wu, 2010. "How should we measure collaborative research and development performance?," International Journal of Learning and Intellectual Capital, Inderscience Enterprises Ltd, vol. 7(3/4), pages 360-373.
    • Handle: RePEc:ids:ijlica:v:7:y:2010:i:3/4:p:360-373
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