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How do partner selection strategies affect the amount of funding in collaborative research projects?: evidence using the dual-projection approach
Journal article   Peer reviewed

How do partner selection strategies affect the amount of funding in collaborative research projects?: evidence using the dual-projection approach

Andrea Ancona, Roy Cerqueti and Rosanna Grassi
Technological forecasting & social change, Vol.208(November 2024), pp.1-13
2024
Scopus ID: 2-s2.0-85203179963
Web of Science ID: WOS:001311818100001

Abstract

Collaborative R&D Horizon 2020 Partner selection Research projects Social network analysis
The 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.
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url
https://doi.org/10.1016/j.techfore.2024.123744View
Published (Version of record) Open CC BY V4.0

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