Forecasting and identifying multi-technology convergence based on patent data: the case of IT and BT industries in 2020

Kim, Jeeeun; Lee, Sungjoo

doi:10.1007/s11192-017-2275-4

Cited by 64 publications

(24 citation statements)

References 40 publications

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“…Stieglitz [27] stated from an industry perspective that the technology convergence involved in its development process can be divided into technology substitution and technology integration. Kim and Lee [28] categorized technology convergence into interrelated convergence and intermediated convergence, where all the technologies in the former are closely related to each other and extensively exchange knowledge, while the latter implies that there is a particular technology that mediates the convergence of technologies.…”

Section: Theoretical Researches On Technology Convergencementioning

confidence: 99%

“…Kim et al [11] investigated the evolution of the core technology convergence over time and the corresponding models based on closeness centrality and betweenness centrality of the citation network. Kim and Lee [28] studied the convergence of information technology and biotechnology based on the citation matrix and a DSM (dependency structure matrix) sequencing algorithm. Park and Yoon [38] suggested technological opportunities for convergence by predicting potential technological knowledge flows between biotechnology and information technology based on their mutual patent citations, enabling R&D decision makers to plan new R&D projects on technology convergence.…”

Section: Empirical Research Of Technology Convergence Based On Patentsmentioning

confidence: 99%

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A Study on Dynamic Patterns of Technology Convergence with IPC Co-Occurrence-Based Analysis: The Case of 3D Printing

et al. 2020

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Technology convergence has become a typical characteristic of innovation, which affects the evolution of industrial structures and the core competitiveness of organizations. However, the existing research has mainly focused on the development of core areas of convergence, ignoring the potential breakthroughs that emerging peripheral convergence may bring. Therefore, this research put forward a comprehensive methodology based on IPC (International Patent Classification) co-occurrence analysis to study the dynamic patterns of technology convergence from the perspectives of reinforcing convergence and novel convergence. For the former, convergence trends in each period were explored by using association rules, and the convergence degree was measured based on the number of patents containing different IPC codes. Then, the corresponding core technical fields were identified by using information entropy. For the latter, a community detection algorithm based on IPC co-occurrence network was adopted to investigate the convergence trend by period, and important technology fields were identified by the centrality indicators. The methodology proposed in this study is beneficial for firms to seize technological opportunities in technology convergence.

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Section: Theoretical Researches On Technology Convergencementioning

confidence: 99%

Section: Empirical Research Of Technology Convergence Based On Patentsmentioning

confidence: 99%

A Study on Dynamic Patterns of Technology Convergence with IPC Co-Occurrence-Based Analysis: The Case of 3D Printing

et al. 2020

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“…Although many previous studies on technological convergence have focused on analyzing the phenomena using a retrospective perspective, some researchers have attempted to identify technological convergence using a future-oriented perspective (Kim & Lee, 2017;Lee, Han, & Sohn, 2015;Song, Elvers, & Leker, 2017). Lee, Han et al (2015) predicted the pattern of technological convergence by applying both an association rule and link prediction based on IPC co-occurrence.…”

Section: Technological Convergencementioning

confidence: 99%

“…Lee, Han et al (2015) predicted the pattern of technological convergence by applying both an association rule and link prediction based on IPC co-occurrence. Song et al (2017) and Kim and Lee (2017) anticipated technological convergence using the concept of TKF based on patent classification and patent citation, respectively. Patent citation analysis has been utilized in many studies on TKF diffusion and transfer (A.J.…”

Section: Technological Convergencementioning

confidence: 99%

Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network

Park

Yoon

2018

Journal of Informetrics

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a b s t r a c tAs technological convergence has recently become a mainstream innovation trend, technological opportunities need to be explored in heterogeneous technology fields. Most of the previous convergence studies have taken a retrospective view in measuring the degree of convergence and monitoring the converging trends. This paper proposes a quantitative future-oriented approach to technological opportunity discovery for convergence using patent information. In a future-oriented approach, technological opportunities for convergence are suggested by predicting potential technological knowledge flows (TKFs) between heterogeneous fields. The potential TKFs are predicted by a link prediction method in a directed network, which is suggested in this paper to represent the direction of the predicted TKFs by adapting the concept of bibliographic coupling and edge-betweenness centrality. Converging technological opportunities are proposed as incremental and radical technological opportunities by extracting the potential increased knowledge flow links and emerging knowledge flow links. Moreover, the direction and themes of the predicted potential TKFs are provided as technological opportunities for convergence. As an illustration of the proposed method, the technological opportunities between biotechnology (BT) and information technology (IT) are explored. Firms and researchers can use the proposed method to seek out new technological opportunities from various technologies so that R&D policymakers can plan new R&D projects on technological convergence.

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“…Em contrapartida, [9,10,11,12] argumentam que a maioria das tragédias poderiam ter sido evitadas, ou pelo menos atenuadas, se houvessem sistemas efetivos de monitoramento, detecção, alarme e extinção de incêndio.…”

Section: Introductionunclassified

Estudo Prospectivo Sobre Sistemas Automáticos De Detecção, Alarme E Supressão De Incêndios

Lima¹,

Barbosa²,

Gerber³

2019

Blucher Engineering Proceedings

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Este artigo apresenta uma revisão bibliométrica e de conteúdo sobre os sistemas de monitoramento, detecção, alarme e extinção de incêndio. Para tanto selecionou-se a base Web of Science, e o gerenciamento das referências foi feito por meio do EndNote Web. A partir dos descritores e filtros usados, foi obtido um grupo amostral de 43 artigos. Estes artigos foram analisados, evidenciando que os estudos publicados, em sua maioria, apresentam uma abordagem experimental, devido à importância fulcral do aspecto funcional, o agente extintor mais citado foi a água atomizada e em aderência com as tendências da Industria 4.0, as pesquisas exibiram forte integração com tecnologias wireless, Internet das coisas, e robôs com inteligência artificial embarcada.

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Forecasting and identifying multi-technology convergence based on patent data: the case of IT and BT industries in 2020

Cited by 64 publications

References 40 publications

A Study on Dynamic Patterns of Technology Convergence with IPC Co-Occurrence-Based Analysis: The Case of 3D Printing

A Study on Dynamic Patterns of Technology Convergence with IPC Co-Occurrence-Based Analysis: The Case of 3D Printing

Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network

Estudo Prospectivo Sobre Sistemas Automáticos De Detecção, Alarme E Supressão De Incêndios

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