Co-patenting: An Analytic Tool for Cooperative Research and Development

1. Auflage 2020
ISBN: 978-4-431-54806-5
Verlag: Springer Japan

Buch, Englisch, Band 21, 114 Seiten, HC runder Rücken kaschiert, Format (B × H): 160 mm x 241 mm, Gewicht: 366 g

Reihe: Evolutionary Economics and Social Complexity Science

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.

Zielgruppe

Research

Autoren/Hrsg.

Inoue, Hiroyasu

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Forschung & Entwicklung (F&E), Innovation
• Wirtschaftswissenschaften Betriebswirtschaft Unternehmensorganisation, Corporate Responsibility Unternehmenskooperationen, Joint Ventures

Inhaltsverzeichnis

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.

Über Autor(innen)

Hiroyasu Inoue, Graduate School of Simulation Studies, University of Hyogo, Kobe, Japan