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

IF 12.9 1区 管理学 Q1 BUSINESS Technological Forecasting and Social Change Pub Date : 2024-09-08 DOI:10.1016/j.techfore.2024.123744
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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.

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合作伙伴选择策略如何影响合作研究项目的资金数额?使用双重投影法的证据
合作伙伴的选择对决定合作项目的成败起着至关重要的作用。本研究通过考察不同的合作伙伴选择策略对合作研究项目所获资金的影响,为现有的合作研发文献做出了宝贵贡献。以往的研究没有充分说明,与新伙伴合作与与现有伙伴合作相比,如何影响所获资金的数额。为了弥补这一不足,我们采用了社会网络分析中创新的双投影方法。具体来说,我们分析了由第八个欧洲框架计划 Horizon 2020 资助的项目的网络结构。我们的研究结果表明,与既有合作伙伴合作相比,与新合作伙伴合作会增加参与新项目时获得更多资金的可能性。此外,由私营或公共组织而非研究中心和高等教育机构协调的项目获得更多资金的可能性更高。不过,合作伙伴关系的重要性会随着与协调机构的距离缩短而减弱。最终,我们的研究结果为欧洲研究与技术发展政策通过不同参与者之间的交叉合作促进卓越科学的有效性提供了宝贵的见解。
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来源期刊
CiteScore
21.30
自引率
10.80%
发文量
813
期刊介绍: Technological Forecasting and Social Change is a prominent platform for individuals engaged in the methodology and application of technological forecasting and future studies as planning tools, exploring the interconnectedness of social, environmental, and technological factors. In addition to serving as a key forum for these discussions, we offer numerous benefits for authors, including complimentary PDFs, a generous copyright policy, exclusive discounts on Elsevier publications, and more.
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