2017
DOI: 10.1371/journal.pone.0181870
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Network analysis for science and technology management: Evidence from tuberculosis research in Fiocruz, Brazil

Abstract: Collaborative networks are of great value for science and technology (S&T) institutions as a way of sharing, generating and disseminating new knowledge that could ultimately lead to innovations. Driven by the need to assess the contribution and effectiveness of these networks in informing S&T management, we explored the evolution and dynamics of tuberculosis scientific networks involving the Oswaldo Cruz Foundation (Fiocruz), the major public health S&T Institution in Brazil. Social network analysis (SNA) was … Show more

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Cited by 18 publications
(22 citation statements)
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References 36 publications
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“…The results of social network analysis may assist in the management of health innovation activities, as suggested by Fonseca et al [9] for research and innovation related to tuberculosis, and by Morel et al [10] for neglected disease research, both in Brazil. For example, the network might enable decision-makers to identify organisations playing central roles, or located at critical network positions, and to identify collaborative groups [10].…”
Section: Implications For Innovation Managementmentioning
confidence: 99%
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“…The results of social network analysis may assist in the management of health innovation activities, as suggested by Fonseca et al [9] for research and innovation related to tuberculosis, and by Morel et al [10] for neglected disease research, both in Brazil. For example, the network might enable decision-makers to identify organisations playing central roles, or located at critical network positions, and to identify collaborative groups [10].…”
Section: Implications For Innovation Managementmentioning
confidence: 99%
“…The benefits of collaboration and knowledge networks, for health innovation broadly, have been recognised; collaboration is essential for addressing complex health problems involving multiple stakeholders through innovation that draws on multiple disciplines [8]. Collaboration networks have been proposed and studied as tools to support strategic planning for, and implementation and management of, developing countries' efforts to address neglected diseases [8,9,10]. Analysis of such networks can form a basis for monitoring and evaluation of research productivity and the outcomes of decision-making and interventions, as well as for tracking institutional development [9].…”
mentioning
confidence: 99%
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