Now showing 1 - 3 of 3
  • Publication
    Deployment of a business and innovation centre to foster cooperation between Europe and Brazil
    ( 2017)
    Haunschild, Johanna
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    Melo, Gustavo
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    Research and Development as well as science and technology are key elements for innovation, and more generally are some among many areas that are becoming global. This reduces the influence of individual countries or blocs such as the European Union (EU) on developments both at home and abroad but also generates important benefits through specialization, trade and competition. R&D and science & technology are still strongly focused on the 'Triad' countries overall. However, this pattern is weakening fast, as especially the large emerging economies' role in global science, technology and innovation continues to increase. Following this reasoning, Brazil deserves special attention due its economic strength, accounting for almost 38% of Latin American GDP (IMF, 2013), and its huge entrepreneurship potential (Arruda, 2015). Against this background, the purpose of this paper is to examine in a first step the Innovation Systems of Brazil and Europe, then to show in a second step, how joint activities and programs can address the needs for a fruitful cooperation in international innovation in order to strengthen both Innovation Systems. For the first aspect, the paper provides an examination of Innovation Systems of Brazil and European countries based on library resources, articles, reports and other secondary data. The OECD bibliography will be the guideline to understand the Innovation Systems of the relevant countries. Regarding the second aspect, the EU Horizon 2020 funded project CEBRABIC - Centre for Europe-Brazil Business & Innovation Cooperation - will be elucidated. CEBRABIC aims at enhancing the cooperation in research, technology and entrepreneurship between the EU member states and Latin America's leading economy, Brazil. CEBRABIC will be a Centre working on a network basis: creating synergies and complementarities is the core value; particularly with European research and innovation (R&I) structures located in Brazil.
  • Publication
    Inter‐organizational network management in an innovation context: Combining ego and whole network perspective
    ( 2016)
    Cap, Jan-Patrick
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    Blaich, Erik
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    Raesfeld, Ariane von
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    Harms, Rainer
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    Although there is growing interest into the research field of inter-organizational innovation networks, few attempts have been made to develop systematic methods for the active management of such networks. This is especially true for approaches combining the view of single actors and the network as a whole. In response to this gap, this research presents a new method for the management of inter-organizational networks that can help to increase innovation outcome. The introduced approach accomplishes two goals. Firstly, it provides guidance for the measurement of the current collaboration status of a network, its optimal future collaboration status and the gap between them. Secondly, it provides systematics for the development of clear network management strategies for each network actor for closing this collaboration gap. As a result, better exploitation of existing collaboration potential is expected to increase innovation output. The method builds upon work by Kohl et al. (2015) who approached network management on a whole network level providing a solution for the management of entire networks and Ojasalo (2004) who suggested a network management method taking the perspective of a single network actor on the so called ego level. The novelty value of the presented method lies in the demonstration of how these different levels of network management can be combined. The two levels of analysis are linked through reliance on the same data set. The developed method is demonstrated through a case study. The analysis builds upon a questionnaire asking network actors for an estimation of the current collaboration status and a future collaboration potential amongst them. Social network analysis software was used to calculate network measures such as the level of density and to visualize the network graphically. As a result customized strategies for improving collaboration within the investigated network are presented.