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2010
DOI: 10.3152/030234210x496637
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The impact of EU policy-driven research networks on the diffusion and deployment of innovation at the national level: the case of Greece

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Cited by 6 publications
(3 citation statements)
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“…The role of each organisation in the networks was described by four different centrality measures [25]: degree centrality, eigenvector centrality, betweeness centrality, and closeness centrality, each of which quantifies a different aspect of centrality, indicating whether an organisation has a prominent or influential role in the network. In order to obtain a summary Centrality Index (CI), the organisations were first separately ranked according to each of the four centrality measures [26]. The CI corresponded to the sum of their ranking positions.…”
Section: Methodsmentioning
confidence: 99%
“…The role of each organisation in the networks was described by four different centrality measures [25]: degree centrality, eigenvector centrality, betweeness centrality, and closeness centrality, each of which quantifies a different aspect of centrality, indicating whether an organisation has a prominent or influential role in the network. In order to obtain a summary Centrality Index (CI), the organisations were first separately ranked according to each of the four centrality measures [26]. The CI corresponded to the sum of their ranking positions.…”
Section: Methodsmentioning
confidence: 99%
“…More recently, academic research has focused on the following topics: How innovation and knowledge created by EU-funded research programs are translated into practice in industry (Protogerou, Caloghirou, & Siokas, 2010); the relationship between dynamic capabilities and firm performance (Protogerou, Caloghirou, & Lioukas, 2012); and the rise of creative industries (Protogerou et al, 2015). In addition, there is an interest in how the crisis has affected: on the one hand, certain sectors-as shown by research on food manufacturing firms (Notta & Vlachvei, 2014)-and, on the other, attitudes towards entrepreneurship as seen notably from a survey among Greek students (EY, AUEB, Endeavor Greece & Hellenic-American Chamber of Commerce, 2015).…”
Section: Literature Reviewmentioning
confidence: 99%
“…Investigating the network with the help of social network analysis and graph theory, they found the existence of small-world and scale-free characteristics. Protogerou et al [Protogerou et al, 2010] concentrated on R&D collaboration networks in the field of Information Society Technologies (IST) during FP4, FP5 and FP6. They found the existence of small-world structure as well as preferential attachment.…”
Section: Network Structurementioning
confidence: 99%