EconPapers    
Economics at your fingertips  
 

Structure of a patent transaction network

Hung-Chun Huang (), Hsin-Yu Shih and Tsung-Han Ke
Additional contact information
Hsin-Yu Shih: National Chi Nan University
Tsung-Han Ke: National Chi Nan University

Scientometrics, 2017, vol. 111, issue 1, No 3, 25-45

Abstract: Abstract Firms participating in a patent transaction network demonstrate interdependence and mutually influence one another. The characteristics of such a network structure demonstrate a complex overall configuration. This study proposes a dynamic perspective for investigating the structure of a patent transaction network. By using network analysis, this study defines the structural configuration of a patent transaction network by measuring centralization, centrality, and linkage distribution. Data from patent transactions of the flat panel display sector from 1976 to 2012 have been examined evaluate their networking. The results show that the structural configuration of a patent transaction network shows significant stratification patterns in terms of a given firm’s technology exportation and brokerage capabilities, but also operates as a complex system. This analysis provides insights into patent transaction networks, and also addresses policy implications for firms and authorities who are interested in acquiring market competition or governance.

Keywords: Patent transaction networks; TFT-LCD; Social network analysis; Intellectual property strategy; Technology diffusion (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-017-2258-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:111:y:2017:i:1:d:10.1007_s11192-017-2258-5

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-017-2258-5

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-30
Handle: RePEc:spr:scient:v:111:y:2017:i:1:d:10.1007_s11192-017-2258-5