“…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.…”
BackgroundThe analysis of scientific networks has been applied in health research to map and measure relationships between researchers and institutions, describing collaboration structures, individual roles, and research outputs, and helping the identification of knowledge gaps and cooperation opportunities. Driven by dengue continued expansion in Brazil, we explore the contribution, dynamics and consolidation of dengue scientific networks that could ultimately inform the prioritisation of research, financial investments and health policy.MethodSocial network analysis (SNA) was used to produce a 20-year (1995–2014) retrospective longitudinal evaluation of dengue research networks within Brazil and with its partners abroad, with special interest in describing institutional collaboration and their research outputs.ResultsThe analysis of institutional co-authorship showed a significant expansion of collaboration over the years, increased international involvement, and ensured a shift from public health research toward vector control and basic biomedical research, probably as a reflection of the expansion of transmission, high burden and increasing research funds from the Brazilian government. The analysis identified leading national organisations that maintained the research network connectivity, facilitated knowledge exchange and reduced network vulnerability.ConclusionsSNA proved to be a valuable tool that, along with other indicators, can strengthen a knowledge platform to inform future policy, planning and funding decisions. The paper provides relevant information to policy and planning for dengue research as it reveals: (1) the effectiveness of the research network in knowledge generation, sharing and diffusion; (2) the near-absence of collaboration with the private sector; and (3) the key central organisations that can support strategic decisions on investments, development and implementation of innovations. In addition, the increase in research activities and collaboration has not yet significantly affected dengue transmission, suggesting a limited translation of research efforts into public health solutions.Electronic supplementary materialThe online version of this article (doi:10.1186/s12961-016-0151-y) contains supplementary material, which is available to authorized users.
“…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.…”
BackgroundThe analysis of scientific networks has been applied in health research to map and measure relationships between researchers and institutions, describing collaboration structures, individual roles, and research outputs, and helping the identification of knowledge gaps and cooperation opportunities. Driven by dengue continued expansion in Brazil, we explore the contribution, dynamics and consolidation of dengue scientific networks that could ultimately inform the prioritisation of research, financial investments and health policy.MethodSocial network analysis (SNA) was used to produce a 20-year (1995–2014) retrospective longitudinal evaluation of dengue research networks within Brazil and with its partners abroad, with special interest in describing institutional collaboration and their research outputs.ResultsThe analysis of institutional co-authorship showed a significant expansion of collaboration over the years, increased international involvement, and ensured a shift from public health research toward vector control and basic biomedical research, probably as a reflection of the expansion of transmission, high burden and increasing research funds from the Brazilian government. The analysis identified leading national organisations that maintained the research network connectivity, facilitated knowledge exchange and reduced network vulnerability.ConclusionsSNA proved to be a valuable tool that, along with other indicators, can strengthen a knowledge platform to inform future policy, planning and funding decisions. The paper provides relevant information to policy and planning for dengue research as it reveals: (1) the effectiveness of the research network in knowledge generation, sharing and diffusion; (2) the near-absence of collaboration with the private sector; and (3) the key central organisations that can support strategic decisions on investments, development and implementation of innovations. In addition, the increase in research activities and collaboration has not yet significantly affected dengue transmission, suggesting a limited translation of research efforts into public health solutions.Electronic supplementary materialThe online version of this article (doi:10.1186/s12961-016-0151-y) contains supplementary material, which is available to authorized users.
“…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).…”
This article analyzes the core features of the new, innovative, and outward‐looking entrepreneurial paradigm arising in Greece during the post‐2008 contraction of the economy. Through case studies of 21 selected firms, we demonstrate the ways in which the new paradigm differs from the pre‐2008 prevailing business practices and the reasons why it has appeared at this particular moment in time. We argue that if it expands, this phenomenon may have the potential to change the face of Greece but that at this moment in time, it is at a critical turning point.
“…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.…”
innovation performance is discussed for developing policy recommendations, which are derived from theoretical arguments as well as analytical studies, based on network analysis and the notion of entropy. The implementation of a relatively simple rule by the European Commission, in addition to policies focusing on the development of countries' diversity and absorptive capacity, which are structural holes, may make an important contribution to improving cohesion and competition within the European Research Area, as well innovation in the European Union.
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