1,720,986 research outputs found
Network-based approach to the measurement of entrepreneurial ecosystems: an application in the field of climate change
No full textAssessing the structure of European Innovation Ecosystems through a network-based approach
No full textInvestigating the effect of partner selection in projects funded by H2020 through the dual-projection approach.
No full textAre online ecosystems resilient in the face of crises? An analysis of a startup network pre- and post-pandemic.
No full textAre digital entrepreneurial ecosystems resilient in the face of crises? An empirical analysis before and after the pandemic
No full textUltrasound-induced Reactive Oxygen Species generation by Zinc Oxide Nanostructures: Mechanisms and Applications
Full text linkL'abstract è presente nell'allegato / the abstract is in the attachmen
How do partner selection strategies affect the amount of funding in collaborative research projects? Evidence using the dual-projection approach
No full textThe selection of partners plays a crucial role in determining the success of collaborative projects. This study makes a valuable contribution to the existing literature on collaborative research and development by examining the impact of different partner selection strategies on the funding received in collaborative research projects. Previous studies have not shown sufficiently how collaborating with new partners as opposed to existing ones influences the amount of funding received. To bridge this gap, we use the innovative dual-projection approach from Social Network Analysis. Specifically, we analyze the network structure of projects funded by Horizon 2020, the eighth European Framework Programme. Our findings show that compared to collaborating with established partners, collaborating with new ones increases the likelihood of securing more funding when entering a new project. Moreover, projects coordinated by private or public organizations rather than research centers and higher education institutions have a higher probability of obtaining greater funding. However, the significance of partner connections diminishes with decreasing proximity to the focal organization. Ultimately, our results offer valuable insights into the effectiveness of the European Research and Technological Development Policy in fostering excellent science through cross-collaboration among a diverse group of actors
Determining the dynamics of collaboration in EU Framework Programmes under a network perspective
Full text linkCollaborative networks gained attention in the field of economics of innovation in the recent past. One of the main interests concerns the temporal analysis of such networks, both in a scientific and in a European policy context. At the European level indeed, the objective is to promote strong and durable partnerships among research institutions and with industry, going beyond the usual project-based cooperation. The purpose of this study is to investigate these long-lasting collaborative relationships between the organizations that received funds by all the first eight European Framework Programmes (EU FPs). EU FPs are multi-annual programmes providing funds mainly to EU member states, but also to associate countries, in order to promote long-term investments in several areas. Considering participations in
European projects funded by all the first eight EU FPs gives us the possibility to analyze the dynamics of collaborations in the context of European research projects over a long-time span. In more detail, we adopt a novel approach to model the dynamics of participation in EU FPs by means of Social Network Analysis (SNA) and statistics tools. The main objective is to estimate the probabilities of moving from one position to another - in terms of centrality
measures - across different FPs, and to understand if the position within subsequent collaborative research networks is affected by a certain path dependency. Our results confirm the existence of a path dependency, in the sense that participating in previous FPs provides a competitive advantage to organizations due to several network benefits, such as growing experience, competencies, and popularity. Phenomena of "preferential attachment" are also evident. Finally, we find that the estimated probability transition matrices are able to highlight relevant events that affected the European Union and its strategies in the field of research, which are the Treaty of Maastricht and the adoption of the European Research Area (ERA)
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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