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

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. • Novel approach from Social Network Analysis to investigate collaborative projects. • Focus on how selecting new over existing partners affects the amount of funding. • Analysis of the network of collaborative research projects funded by Horizon 2020. • Partnering with unrelated actors increases the likelihood of securing more funding. • Projects coordinated by private or public actors tend to obtain higher funding.

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Publication Details

Journal
Technological Forecasting and Social Change
Published
2024-09-08
DOI
https://doi.org/10.1016/j.techfore.2024.123744
Citations
2
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
1.11
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article

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

Rosanna Grassi, Andrea Ancona, Roy Cerqueti
2 citations
Technological Forecasting and Social Change
Innovation and Knowledge Management
1.11
article

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

Rosanna Grassi, Andrea Ancona, Roy Cerqueti
article en
2 citations

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. • Novel approach from Social Network Analysis to investigate collaborative projects. • Focus on how selecting new over existing partners affects the amount of funding. • Analysis of the network of collaborative research projects funded by Horizon 2020. • Partnering with unrelated actors increases the likelihood of securing more funding. • Projects coordinated by private or public actors tend to obtain higher funding.

Technological Forecasting and Social ChangeVol. 208
Université d'Angers (FR), University of Milano-Bicocca (IT), Sapienza University of Rome (IT)
Partnerships for the goals
Openalex Percentile: Top 15%
Innovation and Knowledge Management
1.11
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