Evolution mechanism and empirical analysis of innovation network in advanced manufacturing industry

Detalhes bibliográficos
Autor(a) principal: Wang, Jianbo
Data de Publicação: 2022
Outros Autores: Cao, Xing, Zhu, Jingying, Ma, Hui
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Transinformação (Online)
Texto Completo: https://periodicos.puc-campinas.edu.br/transinfo/article/view/6532
Resumo: As the “chaotic” edge of innovation system has strong innovation potential and is easy to form and develop the emerging technology innovation network, the formation process of emerging technologies and their relationship with the development trajectory of original technologies are analyzed, and the evolution mechanism of innovation network of advanced manufacturing industry is deeply studied combined with life cycle theory. Firstly, empirical analysis is carried out by collecting patents data in the industrial robotics field. Then, the IPC co-occurrence network and patentee citation network are plotted by combining patents citation analysis with social network analysis. Next, the technical characteristics and knowledge flow characteristics of an advanced manufacturing innovation network are verified by calculating various indicators of the network. Finally, the empirical results show that the technology structure in the field of industrial robotics has high heterogeneity, wide integration amongtechnical fields, and knowledge flow network has a small-world effect, characterized by easy flow, wide flow direction, high efficiency, fuzzy network boundary, and numerous and diversified core the key players in innovation.
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spelling Evolution mechanism and empirical analysis of innovation network in advanced manufacturing industryMecanismo de evolução e análise empírica das redes de inovação na indústria transformadora avançadaAdvanced manufacturing industryEvolution mechanismEmpirical analysisInnovation networkIndústria transformadora avançadaMecanismo de evoluçãoAnálise empíricaRedes de inovaçãoAs the “chaotic” edge of innovation system has strong innovation potential and is easy to form and develop the emerging technology innovation network, the formation process of emerging technologies and their relationship with the development trajectory of original technologies are analyzed, and the evolution mechanism of innovation network of advanced manufacturing industry is deeply studied combined with life cycle theory. Firstly, empirical analysis is carried out by collecting patents data in the industrial robotics field. Then, the IPC co-occurrence network and patentee citation network are plotted by combining patents citation analysis with social network analysis. Next, the technical characteristics and knowledge flow characteristics of an advanced manufacturing innovation network are verified by calculating various indicators of the network. Finally, the empirical results show that the technology structure in the field of industrial robotics has high heterogeneity, wide integration amongtechnical fields, and knowledge flow network has a small-world effect, characterized by easy flow, wide flow direction, high efficiency, fuzzy network boundary, and numerous and diversified core the key players in innovation.As margens do “caos” do sistema de inovação têm um forte potencial de inovação e facilitam a formação e o desenvolvimento de redes de inovação em tecnologias emergentes. Em combinação com a teoria do ciclo de vida, o processo de formação de tecnologias emergentes e sua relação com a trajetória de desenvolvimento de tecnologias pré-existentes são analisados e o mecanismo de evolução das redes de inovação na indústria transformadora avançada é aprofundado. A análise empírica foi realizada através da coleta de dados sobre patentes na área de robôs industriais, utilizando a avaliação de citação de patentes combinada com a análise de redes sociais para mapear a rede de coatualização do IPC e a de citação de titulares de patentes e para verificar as características técnicas e de fluxo de conhecimento da rede de inovação de fabricação avançada calculando os indicadores da rede. Os resultados empíricos mostram que: as redes de fluxo de conhecimento têm um efeito de pequeno mundo, apresentam características de fácil fluxo, fluxo amplo, alta eficiência, fronteiras de rede ambíguas e um núcleo de temas de inovação numerosos e diversificados.Núcleo de Editoração - PUC-Campinas2022-08-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionPeer-reviewed ArticleArtículo revisado por paresAvaliado pelos Paresapplication/pdfhttps://periodicos.puc-campinas.edu.br/transinfo/article/view/6532Transinformação; Vol. 34 (2022); 1-14Transinformação; Vol. 34 (2022); 1-14Transinformação; v. 34 (2022); 1-142318-08890103-3786reponame:Transinformação (Online)instname:Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS)instacron:PUC_CAMPenghttps://periodicos.puc-campinas.edu.br/transinfo/article/view/6532/4184Copyright (c) 2022 Transinformaçãohttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessWang, Jianbo Cao, XingZhu, JingyingMa, Hui2024-04-02T12:31:03Zoai:ojs.periodicos.puc-campinas.edu.br:article/6532Revistahttp://periodicos.puc-campinas.edu.br/seer/index.php/transinfo/indexPRIhttps://old.scielo.br/oai/scielo-oai.phpsbi.nucleodeeditoracao@puc-campinas.edu.br2318-08890103-3786opendoar:2024-04-02T12:31:03Transinformação (Online) - Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS)false
dc.title.none.fl_str_mv Evolution mechanism and empirical analysis of innovation network in advanced manufacturing industry
Mecanismo de evolução e análise empírica das redes de inovação na indústria transformadora avançada
title Evolution mechanism and empirical analysis of innovation network in advanced manufacturing industry
spellingShingle Evolution mechanism and empirical analysis of innovation network in advanced manufacturing industry
Wang, Jianbo
Advanced manufacturing industry
Evolution mechanism
Empirical analysis
Innovation network
Indústria transformadora avançada
Mecanismo de evolução
Análise empírica
Redes de inovação
title_short Evolution mechanism and empirical analysis of innovation network in advanced manufacturing industry
title_full Evolution mechanism and empirical analysis of innovation network in advanced manufacturing industry
title_fullStr Evolution mechanism and empirical analysis of innovation network in advanced manufacturing industry
title_full_unstemmed Evolution mechanism and empirical analysis of innovation network in advanced manufacturing industry
title_sort Evolution mechanism and empirical analysis of innovation network in advanced manufacturing industry
author Wang, Jianbo
author_facet Wang, Jianbo
Cao, Xing
Zhu, Jingying
Ma, Hui
author_role author
author2 Cao, Xing
Zhu, Jingying
Ma, Hui
author2_role author
author
author
dc.contributor.author.fl_str_mv Wang, Jianbo
Cao, Xing
Zhu, Jingying
Ma, Hui
dc.subject.por.fl_str_mv Advanced manufacturing industry
Evolution mechanism
Empirical analysis
Innovation network
Indústria transformadora avançada
Mecanismo de evolução
Análise empírica
Redes de inovação
topic Advanced manufacturing industry
Evolution mechanism
Empirical analysis
Innovation network
Indústria transformadora avançada
Mecanismo de evolução
Análise empírica
Redes de inovação
description As the “chaotic” edge of innovation system has strong innovation potential and is easy to form and develop the emerging technology innovation network, the formation process of emerging technologies and their relationship with the development trajectory of original technologies are analyzed, and the evolution mechanism of innovation network of advanced manufacturing industry is deeply studied combined with life cycle theory. Firstly, empirical analysis is carried out by collecting patents data in the industrial robotics field. Then, the IPC co-occurrence network and patentee citation network are plotted by combining patents citation analysis with social network analysis. Next, the technical characteristics and knowledge flow characteristics of an advanced manufacturing innovation network are verified by calculating various indicators of the network. Finally, the empirical results show that the technology structure in the field of industrial robotics has high heterogeneity, wide integration amongtechnical fields, and knowledge flow network has a small-world effect, characterized by easy flow, wide flow direction, high efficiency, fuzzy network boundary, and numerous and diversified core the key players in innovation.
publishDate 2022
dc.date.none.fl_str_mv 2022-08-09
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
Artículo revisado por pares
Avaliado pelos Pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.puc-campinas.edu.br/transinfo/article/view/6532
url https://periodicos.puc-campinas.edu.br/transinfo/article/view/6532
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.puc-campinas.edu.br/transinfo/article/view/6532/4184
dc.rights.driver.fl_str_mv Copyright (c) 2022 Transinformação
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Transinformação
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Núcleo de Editoração - PUC-Campinas
publisher.none.fl_str_mv Núcleo de Editoração - PUC-Campinas
dc.source.none.fl_str_mv Transinformação; Vol. 34 (2022); 1-14
Transinformação; Vol. 34 (2022); 1-14
Transinformação; v. 34 (2022); 1-14
2318-0889
0103-3786
reponame:Transinformação (Online)
instname:Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS)
instacron:PUC_CAMP
instname_str Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS)
instacron_str PUC_CAMP
institution PUC_CAMP
reponame_str Transinformação (Online)
collection Transinformação (Online)
repository.name.fl_str_mv Transinformação (Online) - Pontifícia Universidade Católica de Campinas (PUC-CAMPINAS)
repository.mail.fl_str_mv sbi.nucleodeeditoracao@puc-campinas.edu.br
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