International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases.
International comparison of cross-disciplinary integration in industry 4.0: A co-authorship analysis using academic literature databases.
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DOI：
10.1371/journal.pone.0275306
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发表时间：
2022
期刊：
影响因子：
3.7
通讯作者：
中科院分区：
文献类型：
--
作者：
在企业管理中熊彼特竞争战略的一种创新战略中，“个体内部多样性”作为创造创新的一个因素引起了人们的关注。在本研究中，我们将“识别研究人员专业领域的框架”重新定义为“量化研究人员个体内多样性的框架”。请注意，这里的多样性是指多个研究领域的文章的作者。该框架的应用，然后有可能可视化组织的多样性，通过积累研究人员的个体内的多样性，并讨论组织的创新战略。本研究的分析从创新的角度探讨了各国如何推进工业4.0核心的人工智能（AI）、大数据和物联网（IoT）技术的研究。工业4.0是一个旨在“提高所有社会系统的效率”、“创造新产业”和“提高智力生产率”的技术框架。为了进行分析，我们使用了来自前20个国家的19年（2000-2018）的书目数据，这些数据涉及人工智能，大数据和物联网技术的论文数量。作为结果，本研究将跨学科融合的类型分为人工智能中的四种模式和大数据中的三种模式。这项研究没有考虑物联网的结果，因为各国之间只有很小的差异。此外，还观察到跨学科融合方式的区域差异，并将工业4.0的全球创新模式分为七类。在欧洲和北美，跨学科整合的风格与美国、德国、荷兰、西班牙、英国、意大利、加拿大和法国之间的相似。在亚洲，跨学科融合的风格在中国，日本和韩国之间类似。
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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影响因子：
5.4
作者：
DIERICKX, I;COOL, K
通讯作者：
COOL, K
影响因子：
3.9
作者：
GARFIELD, E
通讯作者：
GARFIELD, E
DOI：
10.1177/053901883022002003
发表时间：
1983-01-01
影响因子：
1.1
作者：
CALLON, M;COURTIAL, JP;BAUIN, S
通讯作者：
BAUIN, S
影响因子：
10.5
作者：
Acedo, Francisco Jose;Barroso, Carmen;Galan, Jose Luis
通讯作者：
Galan, Jose Luis
影响因子：
10.4
作者：
ANCONA, DG;CALDWELL, DF
通讯作者：
CALDWELL, DF