摘要
探索斯坦福大学技术创新影响力及其创新优势,对提升我国高校科技创新水平具有重要的借鉴意义。基于INCOPAT全球知识产权数据平台获取的11547条数据,选取专利申请量和专利价值度指标,结合技术创新影响力指数的数学模型和信息可视化技术,探究斯坦福大学技术创新的影响力及其创新优势。研究结果显示斯坦福大学技术创新的影响力远远高于世界总体水平,影响力指数随时间呈明显的周期性变动;技术创新的优势领域集中在C(化学、冶金)、A(人类生活必需)、G(物理)、H(电学)四个IPC部类的46个技术领域。
It is great significant for China to improve the level of scientific and technological innovation of Chinese universities to explore Stanford University's technological innovation superiority and influence. Based on the data of 11547 obtained by the INCOPAT global intellectual property data professional analysis platform, the number of patent applications and patent value are selected as research index, and the technology of information visualization and mathematical model of computing the technology innovation influence are used, and scientometric and clustering methods are used to measure the superiority and influence of technological innovation in Stanford University. The results reveal that the technology innovation field of Stanford University is extensive and concentrate, and the superiority of technological innovation is obvious, and at the same time the influence of technological innovation is far higher than the overall level of the world.
引文
[1]A Y.Joseph Woo,Bruce A.Reitz.One Hundred Years of History at Stanford University:Thoracic and Cardiovascular Surgery[J].Seminars in Thoracic and Cardiovascular Surgery,2015,27(4):388-397.
[2]Adams SB.Stanford and Silicon Valley:Lessons on Becoming a High-tech Region[J].California Management Review,2005,48(1):29-51.
[3]王文礼.斯坦福大学协同创新的成功经验和启示[J].学术论坛,2015,289(2):154-160.
[4]顾征,李文.创业型大学知识产权管理经典模式--斯坦福OTL四十年经验启示[J].高等工程教育研究,2011(6):54-67.
[5]穆晓燕.美国研究型大学科研管理机制探析--以斯坦福大学为例[J].中国高校科技,2017(12):16-19.
[6]Ernst H,Fabry B.Enhancing Market-oriented R&D Planning by Integrated Market and Patent Portfolios[J].Journal of Business Chemistry,2004,138(1):2-13.
[7]Ahuja G.Collaboration Networks,Structural Holes,and Innovation:A Longitudinal Study[J].Administrative Science Quarterly,2001,45(3):425-456.
[8]Breitzman A,Thomas P.Using Patent Citation Analysis to Value Candidates[J].Research Technology Management,2002,15(5):28-37.
[9]Nordensvard J,Zhou Y,Zhang X.Innovation core,innovation semi-periphery and technology transfer:The case of wind energy patents[J].Energy Policy,2018,120(3):213-227.
[10]Sorensen J B,Strart T E.Aging,Obsolescence,and Organizational Innovation[J].Administrative Science Quarterly,2000,45(1):81-112.
[11]Lacasa ID,Shubbak MH.Drifting towards innovation:The coevolution of patent networks,policy,and institutions in China's solar photo voltaics industry[J].Energy Research&Social Science,2018,132(38):87-101.
[12]石秀,景睿,郑刚,等.基于专利数据的中国新能源汽车技术创新的区域分布特征分析[J].工业技术经济,2018,298(8):60-67.
[13]刘云,刘璐,闫哲,等.基于专利计量的全球碳纳米管领域技术创新特征分析[J].科研管理,2016,37(4):337-345.
[14]Incopat科技创新情报平台[EB/OL].https://www.incopat.com/.
[15]Bakker J.The log-linear relation between patent citations and patent value[J].Scientometrics,2017,110(2):879-892.
[16]梁丽,李小娟,王双龙,等.基于专利价值分析指标体系的专利价值数据综合处理系统[J].高科技与产业化,2015(7):89-93.
[17]http://www.chiresearch.com.
[18]Albert M.B.,Avery D.,Narin F.and Mc Allister P.Direct Validation of Citation Counts as Indicators of Industrially Important Patents[J].Research Policy,1991,20(3):251-259.
[19]Lerner J.The importance of patent scope:an empirical analysis[J].Rand Journal of Economics.1994,25(2):319-333.
[20]Van Raan A..Sleeping beauties in science[J].Scientometrics,2004,59(3):467-472.
[21]杜建,武夷山.一个用于识别睡美人文献的新的无参数指标--基于"Science"和"Nature"上睡美人文献的验证[J].情报理论与实践,2017,40(2):19-25.
[22]宋维翔."王子"对"睡美人文献"引用的动机分析--基于邮件访谈调查的实证研究[J].现代情报,2018,38(5):32-36.
[23]Wang JC,Ma FC et al..Why and How Can"Sleeping Beauties"Be Awakened[J].The Electronic Library,2012,30(1):5-18.
