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Co-patenting: An Analytic Tool for Cooperative Research and Development
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Catalogue Information
Field name
Details
Dewey Class
330.015195
Title
Co-patenting: An Analytic Tool for Cooperative Research and Development ([EBook]) / by Hiroyasu Inoue.
Author
Inoue, Hiroyasu
Other name(s)
SpringerLink (Online service)
Edition statement
1st ed. 2020.
Publication
Tokyo : : Springer Japan : : Imprint: Springer, , 2020.
Physical Details
XII, 114 p. 48 illus., 25 illus. in color. : online resource.
Series
Evolutionary Economics and Social Complexity Science
2198-4204 ; ; 21
ISBN
9784431548072
Summary Note
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.:
Contents note
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.
Mode of acces to digital resource
Digital book. Cham Springer Nature 2020. - Mode of access: World Wide Web. System requirements: Internet Explorer 6.0 (or higher) or Firefox 2.0 (or higher). Available as searchable text in PDF format
System details note
- Online access to this digital book is restricted to subscription institutions through IP address (only for SISSA internal users).
Internet Site
https://doi.org/10.1007/978-4-431-54807-2
Links to Related Works
Subject References:
Business-Data processing
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Economic theory
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Economic Theory/Quantitative Economics/Mathematical Methods
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Industrial Management
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Information technology
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Innovation/Technology Management
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IT in Business
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Management
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Statistics
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Statistics for Business, Management, Economics, Finance, Insurance
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Authors:
author
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Inoue, Hiroyasu
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Corporate Authors:
SpringerLink (Online service)
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Series:
Evolutionary Economics and Social Complexity Science
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Classification:
330.015195
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330.015195 (DDC 23)
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