2020
DOI: 10.1007/s11192-020-03534-1
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Research on the impact of global innovation network on 3D printing industry performance

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Cited by 8 publications
(7 citation statements)
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“…Research papers reflect the latest scientific trends and contain valuable information about authors, institutions and addresses, while also providing a solid foundation for collaborative research (Bai et al, 2020). By analysing this information through network analysis methods, we can obtain important information about the growth of international R&D cooperation, the structures and characteristics of the global science networks.…”
Section: Methodsmentioning
confidence: 99%
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“…Research papers reflect the latest scientific trends and contain valuable information about authors, institutions and addresses, while also providing a solid foundation for collaborative research (Bai et al, 2020). By analysing this information through network analysis methods, we can obtain important information about the growth of international R&D cooperation, the structures and characteristics of the global science networks.…”
Section: Methodsmentioning
confidence: 99%
“…As the globalisation of science and technology continues to deepen, the interconnections among the innovation systems of various countries continue to strengthen (Krishna, 2022), and the global science network develops rapidly. Innovation entities in the network are still consolidating and expanding innovation partnerships, accelerating the flow of innovation elements and interaction among innovation entities, and making full use of global resources (Bai et al, 2020).…”
Section: Global Science Networkmentioning
confidence: 99%
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“…Yao, Li [ 9 ] conducted a network analysis of China’s national innovation system and revealed positive effects of the degree centrality on urban innovation. Bai, Wu [ 29 ] established a global 3D printing cooperative innovation network of 34 economies and discovered that network centrality correlated with industrial performance.…”
Section: Literature Reviewmentioning
confidence: 99%
“…More studies have discussed the influencing factors of innovation networks, which are mainly divided into two categories: the internal structure of the network and the external environment. The influence of the internal structure of a network on the network prominently manifests in the overall characteristics of the network characterized by the centralization of the network, the position of network nodes, centrality, and structural holes (Ter Wal, 2013; Li and Phelps, 2017; Bai et al., 2020; Di et al., 2022) and the connection characteristics of network elements characterized by the small‐world nature of the network (Cantner et al., 2016; Gu and Liu, 2019; Henning and McKelvey, 2020). In the external environment of a network, the proximity of nodes, characterized by institutional proximity, geographic proximity, and the regional economic, social, and cultural environments and other regional environments where they are located, are the main components (Nepelski and De Prato, 2018; Chaminade et al., 2021) and influence the innovation network.…”
Section: Introductionmentioning
confidence: 99%