Inventor Networks in Emerging Key Technologies: Information Technology vs. Semiconductors

Graf, Holger

doi:10.1007/978-3-319-01496-8_4

Cited by 2 publications

(2 citation statements)

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“…Different countries hold distinctive positions in various technology domains, and patent analysis is assistive in determining the relative position of each country in the global technology network (Tseng & Ting, 2013). Relevant studies on country–technology networks have determined the evolution path of the technology development of a country through the patent coclassification system of that country (Graf, 2012). Other studies have also constructed the patent interaction network of a country by using the distribution of the patents of that country in the technology classification system, aiming to explain the technology development policies of the country (Lee & Kim, 2010; Lee, Kim & Park, 2009).…”

Section: Literature Reviewmentioning

confidence: 99%

Key technology network model for the industrialization of research output: A university patent perspective

Chang

2017

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In recent years, university patents have been substantially developed mainly because topics on the industrialization of university research outputs have received considerable attention. Previous studies on university patents have mostly focused on factors influencing the production of those patents, but have not yet distinguished between industrialized university patents and unindustrialized university patents. In addition, previous studies have not clearly recognized university patents with commercial value, technological networks, or key technologies that promoted industrialization. Moreover, a few studies have focused on the national dimension attached to university patent technological networks. In this study we incorporate several countries into our model and identify the technological niche positions of those countries. Here, Japan and the United States are playing critical roles in the worldwide technology network of university patents. The results of our study can serve as a reference point for universities worldwide in their allocation of resources and promotion of novel technologies.

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Section: Literature Reviewmentioning

confidence: 99%

Key technology network model for the industrialization of research output: A university patent perspective

Chang

2017

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“…"Key technologies are defined as holding a central position within the knowledge base. "(Graf, 2012) 7Jena Economic Research Papers # 2021 -005…”

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ICT's Wide Web: a System-Level Analysis of ICT's Industrial Diffusion with Algorithmic Links

Prytkova¹

2021

SSRN Journal

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This paper seeks to contribute to the understanding of diffusion patterns and relatedness within ICT as a technology system in the EU28 region. Considering ICT as a technology system, first, I break down ICT into a set of distinct technologies employing OECD and WIPO classifications. Then, using text analysis and the Algorithmic Links with Probabilities method, I construct industrytechnology links to connect industries with ICT and track ICT's diffusion over the period 1977-2020. The analysis highlights the heterogeneity of the technologies that constitute the ICT cluster. As not all ICTs are pervasive and not all ICTs are key technologies, this leads to differences in industry reliance on them. The results indicate that the ICT cluster shows signs of a "phase transition", passing the phase of building bulk elements of the infrastructure and around the 2000s entering the phase of working on the functionality for business applications deployment and users' convenience. This transition is marked by the surging relevance of ICT technologies such as mobile communication, information analysis, security, and human interface. Studying the ICT as a cluster allows putting each ICT technology in context to compare them in relative terms; this is especially important for the discussion of novel and fast-growing technologies such as Artificial Intelligence (AI). Concerning the structure of industry reliance on the ICT cluster, ICT's penetration is characterized by increasing scope but unevenly distributed scale; depending on the industry and the distinct ICT technology the intensity of their connections varies significantly. Remarkably, looking closer at AI technologies, in line with the current literature, a wide array of "shallow" connections with industries is revealed. Finally, I calculate relatedness metrics to estimate proximity among ICT technologies. The analysis reveals differences in the underlying knowledge base among the overwhelming majority of the ICT technologies but a similar structure of their application base.

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Inventor Networks in Emerging Key Technologies: Information Technology vs. Semiconductors

Cited by 2 publications

References 60 publications

Key technology network model for the industrialization of research output: A university patent perspective

Key technology network model for the industrialization of research output: A university patent perspective

ICT's Wide Web: a System-Level Analysis of ICT's Industrial Diffusion with Algorithmic Links

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