The patterns of knowledge spillovers across technology sectors evidenced in patent citation networks

2017 ◽  
Vol 111 (2) ◽  
pp. 595-619 ◽  
Author(s):  
Wonchang Hur
1978 ◽  
Vol 34 (1) ◽  
pp. 12-20 ◽  
Author(s):  
P. ELLIS ◽  
G. HEPBURN ◽  
C. OPPENHEIN

2021 ◽  
Author(s):  
Carlo Giglio ◽  
Roberto Sbragia ◽  
Roberto Musmanno ◽  
Roberto Palmieri

AbstractThis study proposes a methodological approach to investigate cross-country creativity/knowledge flows by analyzing patent citation networks, taking the aircraft, aviation and cosmonautics (AAC) industry as a case study. It aims at shedding some light on the following research questions: (a) how cross-country creative/learning flows can be investigated; (b) have countries of current patent owners benefited from patent acquisitions. In fact, despite the well-established economic interest for (analyzing and forecasting) innovation trajectories, this research area is still unexplored, thus, motivating the need for such study. Over 43,000,000 patents have been analyzed whereby: (a) owners have performed cross-country patent acquisitions; (b) acquired patents (granted within 2005–2009) are cited by subsequent patents (2010–2015). Methodology and results are scalable to other industries and can be exploited by managers and policy makers to: (a) help firms forecasting innovation trajectories; (b) support governments in designing/implementing measures nurturing patented innovations in industries deemed relevant to national interest.


2021 ◽  
pp. 506-522
Author(s):  
Rudi Bekkers ◽  
Arianna Martinelli

Network Analysis (NA) provides a set of quantitative analytical tools used to examine the structural characteristics of networks. This analysis can be applied to any type of network (e.g. social networks, networks emerging from scientific collaborations, and networks of submarine cables). It is increasingly used on networks derived from intellectual property (IP) data, such as patent citation networks, patent co-inventors’ networks, and patent litigation networks. In this context, the analyses of the structure and the dynamics of these networks can provide valuable insights about the technological relations between firms, the assessment of firms technological leadership, and the evolution of technology. This chapter aims to provide an introduction to network analysis and illustrates its application using patent citation networks.


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