A study of the innovation collaboration patterns and performance in U.S. universities

• Main Authors: Ching-Ting Su, 蘇靖婷
• Other Authors: Mei H.C. Ho
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/8m5h5f

碩士 === 國立臺灣科技大學 === 科技管理所 === 106 === In the era of knowledge, innovation is the driving force of economic development and the key advantage of competition. The new knowledge and new technologies generated by innovation obtain legal protection through by patenting. Hence, patents become an important indicator for measuring innovation power of research institutions and businesses. After the adoption of Bayh-Dole Act in 1980, U.S. universities actively engage in innovative research and obtain lots of new technologies and patents. Nowadays, the innovative research collaboration pattern of U.S. universities become diverse, e.g. U-I-G, U-I-G-R. This study will explore the diverse collaboration patterns and the determinant of innovation performance in U.S. universities. This study collects U.S. universities’ patent data from 2006 to 2015 from USPTO. After data filtering, we obtain 6,020 patent composed of 1,942 assignees (U.S. universities, non-U.S. universities, business, government departments and research institutions) from 45 countries. By using social network analysis, we construct assignee collaboration network to observe their collaborative patterns. Moreover, we also figure out the factors that influence U.S. universities’ innovation performance by Regression Analysis. The result shows that most collaborative patents belong to the medical and biomedical field. UC, UT System, MIT, Stanford Univ. and U.S. Dept. of Veterans Affairs are the key members of assignee collaboration network. Furthermore, there exist four sub-networks: UC Group (western region), MIT Group (northeastern region), UT-Samsung-GeorgiaTech Group (southern region) and Duke Univ. Group. The result also shows that the assignee collaboration network in period II (2008-2012) is more intensive connected, diverse geographical linkages than the network in period I (2006-2010). In empirical testing, we find that the university’s collaborative ability and the quality of collaborative patents are critical for the innovation performance in U.S. universities. In addition, the universities located in east & west coast and western region will have a relative higher innovation performance.