Co-patenting : an analytic tool for cooperative research and development

• 作者： Inoue, Hiroyasu, author.
• 其他作者：
  • SpringerLink (Online service)
• 其他題名：
  • Evolutionary economics and social complexity science ;
• 出版： Tokyo : Springer Japan :Imprint: Springer
• 叢書名： Evolutionary economics and social complexity science,volume 21
• 主題： Patents--Research. , Patents--Data processing. , Statistics for Business, Management, Economics, Finance, Insurance. , Innovation/Technology Management. , Economic Theory/Quantitative Economics/Mathematical Methods. , IT in Business.
• ISBN： 9784431548072 (electronic bk.) 、 9784431548065 (paper)
• FIND@SFXID: CGU
• 資料類型: 電子書
• 內容註: Introduction -- Collaboration networks on inventors and firms -- The innovator's dilemma in collaboration -- Agglomeration of establishment location -- Agglomeration of establishment co-authorship -- Community of establishment networks -- Generative model: Distance and past connection -- Generative model: Intertexture of firm and inventor.
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• 摘要註: This is the first book that comprehensively analyses co-patenting in Japan and the U.S., which directly signifies collaborations between firms and inventors, using the methodology of network science. Network science approaches enable us to analyse the structures of co-patenting networks. In addition, generative models in network science estimate the probability of new connections between nodes, which enables us to discuss the temporal development of networks. On the other hand, regression analyses, which are broadly used in the field of economics, may be effective for determining what attributes are important for firms and inventors that are going to be connected, but such techniques cannot consider the complexity of networks. This book compiles a series of studies by the author on geographical location and co-patenting using data that were published in eight academic journal articles. This book gives the reader ideas about how we can utilize patent data to understand how firms and inventors collaborate under the effect of complex networks.
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