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International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases

In innovation strategy, a type of Schumpeterian competitive strategy in business administration, "intra-individual diversity" has attracted attention as one factor for creating innovation. In this study, we redefine "framework for identifying researchers’ areas of expertise" as &...

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Detalles Bibliográficos
Autores principales: Mizukami, Yuji, Nakano, Junji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576103/
https://www.ncbi.nlm.nih.gov/pubmed/36251707
http://dx.doi.org/10.1371/journal.pone.0275306
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author Mizukami, Yuji
Nakano, Junji
author_facet Mizukami, Yuji
Nakano, Junji
author_sort Mizukami, Yuji
collection PubMed
description In innovation strategy, a type of Schumpeterian competitive strategy in business administration, "intra-individual diversity" has attracted attention as one factor for creating innovation. In this study, we redefine "framework for identifying researchers’ areas of expertise" as "a framework for quantifying intra-individual diversity among researchers. Note that diversity here refers to authorship of articles in multiple research fields. The application of this framework then made it possible to visualize organizational diversity by accumulating the intra-individual diversity of researchers and to discuss the innovation strategy of the organization. The analysis in this study discusses how countries are promoting research on the topics of artificial intelligence (AI), big data, and Internet of Things (IoT) technologies, which are at the core of Industry 4.0, from an innovation perspective. Note that Industry 4.0 is a technological framework that aims to “improve the efficiency of all social systems,” “create new industries,” and “increase intellectual productivity.” For the analysis, we used 19-year bibliographic data (2000–2018) from the top 20 countries in terms of the number of papers in AI, big data, and IoT technologies. As the results, this study classified the styles of cross-disciplinary fusion into four patterns in AI and three patterns in big data. This study did not consider the results in IoT because of only small differences between countries. Furthermore, regional differences in the style of cross-disciplinary fusion were also observed, and the global innovation patterns in Industry 4.0 were classified into seven categories. In Europe and North America, the cross-disciplinary integration style was similar to that between the United States, Germany, the Netherlands, Spain, England, Italy, Canada, and France. In Asia, the cross-disciplinary fusion style was similar between China, Japan, and South Korea.
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spelling pubmed-95761032022-10-18 International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases Mizukami, Yuji Nakano, Junji PLoS One Research Article In innovation strategy, a type of Schumpeterian competitive strategy in business administration, "intra-individual diversity" has attracted attention as one factor for creating innovation. In this study, we redefine "framework for identifying researchers’ areas of expertise" as "a framework for quantifying intra-individual diversity among researchers. Note that diversity here refers to authorship of articles in multiple research fields. The application of this framework then made it possible to visualize organizational diversity by accumulating the intra-individual diversity of researchers and to discuss the innovation strategy of the organization. The analysis in this study discusses how countries are promoting research on the topics of artificial intelligence (AI), big data, and Internet of Things (IoT) technologies, which are at the core of Industry 4.0, from an innovation perspective. Note that Industry 4.0 is a technological framework that aims to “improve the efficiency of all social systems,” “create new industries,” and “increase intellectual productivity.” For the analysis, we used 19-year bibliographic data (2000–2018) from the top 20 countries in terms of the number of papers in AI, big data, and IoT technologies. As the results, this study classified the styles of cross-disciplinary fusion into four patterns in AI and three patterns in big data. This study did not consider the results in IoT because of only small differences between countries. Furthermore, regional differences in the style of cross-disciplinary fusion were also observed, and the global innovation patterns in Industry 4.0 were classified into seven categories. In Europe and North America, the cross-disciplinary integration style was similar to that between the United States, Germany, the Netherlands, Spain, England, Italy, Canada, and France. In Asia, the cross-disciplinary fusion style was similar between China, Japan, and South Korea. Public Library of Science 2022-10-17 /pmc/articles/PMC9576103/ /pubmed/36251707 http://dx.doi.org/10.1371/journal.pone.0275306 Text en © 2022 Mizukami, Nakano https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Mizukami, Yuji
Nakano, Junji
International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases
title International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases
title_full International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases
title_fullStr International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases
title_full_unstemmed International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases
title_short International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases
title_sort international comparison of cross-disciplinary integration in industry 4.0: a co-authorship analysis using academic literature databases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9576103/
https://www.ncbi.nlm.nih.gov/pubmed/36251707
http://dx.doi.org/10.1371/journal.pone.0275306
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