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 and Social Change, 2024, vol. 208, issue C

Abstract: 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.

Keywords: Collaborative R&D; Partner selection; Research projects; Social network analysis; Horizon 2020 (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:208:y:2024:i:c:s0040162524005420

DOI: 10.1016/j.techfore.2024.123744

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