| dc.contributor | 科管所 | - |
| dc.creator (作者) | 吳豐祥 | zh_TW |
| dc.creator (作者) | Yao, Chen-Yen;Wu, Feng-Shang | - |
| dc.date (日期) | 2010-08 | en_US |
| dc.date.accessioned | 6-Oct-2010 10:33:20 (UTC+8) | - |
| dc.date.available | 6-Oct-2010 10:33:20 (UTC+8) | - |
| dc.date.issued (上傳時間) | 6-Oct-2010 10:33:20 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/45541 | - |
| dc.description.abstract (摘要) | 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. | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | International Journal of Learning and Intellectual Capital, 7(3), 360-373 | en_US |
| dc.subject (關鍵詞) | research and development; R&D; R&D collaboration;collaborative R&D; system model; performance | - |
| dc.title (題名) | How Should We Measure Research and Development Collaboration Performance? | en_US |
| dc.type (資料類型) | article | en |
