The nature of ICT in technology convergence: A knowledge-based network analysis.

This study aims to understand the nature of information and communication technology in technology convergence. We form a knowledge network by applying social network theories to Korean patent data collected from the European Patent Organization. A knowledge network consists of nodes representing te...

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Autores principales:	Sungdo Jung, Keungoui Kim, Changjun Lee
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/02a6b45c6dd047998d556838ad6de3ec
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spelling	oai:doaj.org-article:02a6b45c6dd047998d556838ad6de3ec2021-12-02T20:09:19ZThe nature of ICT in technology convergence: A knowledge-based network analysis.1932-620310.1371/journal.pone.0254424https://doaj.org/article/02a6b45c6dd047998d556838ad6de3ec2021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0254424https://doaj.org/toc/1932-6203This study aims to understand the nature of information and communication technology in technology convergence. We form a knowledge network by applying social network theories to Korean patent data collected from the European Patent Organization. A knowledge network consists of nodes representing technology sectors identified by their International Patent Classification codes and edges that link International Patent Classification codes when they appear concurrently in a patent. We test the proposed hypotheses using four indices (degree centrality, E-I index, entropy index, and clustering coefficient). The results show that information and communication technology is easily attached but tends to converge with similar technology and has the greatest influence on technology convergence over other technologies. This study is expected to help practitioners and policymakers understand the structure and interaction mechanisms of technology from a systematic perspective and improve national-level technology policies.Sungdo JungKeungoui KimChangjun LeePublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 7, p e0254424 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Sungdo Jung Keungoui Kim Changjun Lee The nature of ICT in technology convergence: A knowledge-based network analysis.
description	This study aims to understand the nature of information and communication technology in technology convergence. We form a knowledge network by applying social network theories to Korean patent data collected from the European Patent Organization. A knowledge network consists of nodes representing technology sectors identified by their International Patent Classification codes and edges that link International Patent Classification codes when they appear concurrently in a patent. We test the proposed hypotheses using four indices (degree centrality, E-I index, entropy index, and clustering coefficient). The results show that information and communication technology is easily attached but tends to converge with similar technology and has the greatest influence on technology convergence over other technologies. This study is expected to help practitioners and policymakers understand the structure and interaction mechanisms of technology from a systematic perspective and improve national-level technology policies.
format	article
author	Sungdo Jung Keungoui Kim Changjun Lee
author_facet	Sungdo Jung Keungoui Kim Changjun Lee
author_sort	Sungdo Jung
title	The nature of ICT in technology convergence: A knowledge-based network analysis.
title_short	The nature of ICT in technology convergence: A knowledge-based network analysis.
title_full	The nature of ICT in technology convergence: A knowledge-based network analysis.
title_fullStr	The nature of ICT in technology convergence: A knowledge-based network analysis.
title_full_unstemmed	The nature of ICT in technology convergence: A knowledge-based network analysis.
title_sort	nature of ict in technology convergence: a knowledge-based network analysis.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/02a6b45c6dd047998d556838ad6de3ec
work_keys_str_mv	AT sungdojung thenatureofictintechnologyconvergenceaknowledgebasednetworkanalysis AT keungouikim thenatureofictintechnologyconvergenceaknowledgebasednetworkanalysis AT changjunlee thenatureofictintechnologyconvergenceaknowledgebasednetworkanalysis AT sungdojung natureofictintechnologyconvergenceaknowledgebasednetworkanalysis AT keungouikim natureofictintechnologyconvergenceaknowledgebasednetworkanalysis AT changjunlee natureofictintechnologyconvergenceaknowledgebasednetworkanalysis
_version_	1718375042086076416

The nature of ICT in technology convergence: A knowledge-based network analysis.

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