Fernandez de Arroyabe, J.C., Schumann, M., Sena, V. et al. (1 more author) (2021) Understanding the network structure of agri-food FP7 projects: An approach to the effectiveness of innovation systems. Technological Forecasting and Social Change, 162. 120372. ISSN 0040-1625
Abstract
Innovation Systems (IS) have emerged as focal points for innovation and technology, facilitating interaction between private companies, research centres and institutional actors. For over 30 years, the Framework Programmes (FPs) have been one of the primary mechanisms through which collaboration amongst research institutions and industry has been promoted within the European Common Market. Over time, these research consortia financed by FPs have created a network of relations amongst partners, which permits the exchange of information and knowledge amongst institutions and firms. While the literature on innovation systems has highlighted this network as a driver of innovation development, little is known about the properties of the network structure. This paper aims to fill this gap in the literature by using social network analysis to describe the topological properties of the Agri-Food network funded by the FPs between 2008 and 2014. We extend the literature on innovation systems in terms of its modelling and effectiveness. We conclude that the effectiveness of innovation systems depends on several factors such as heterogeneity and geographic diversity of the participants as well as their position in the network. Importantly, our paper highlights the importance of the structural properties of the network underlying an IS when assessing the effectiveness of R&D policies.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2020 Elsevier Inc. This is an author produced version of a paper subsequently published in Technological Forecasting and Social Change. Uploaded in accordance with the publisher's self-archiving policy. Article available under the terms of the CC-BY-NC-ND licence (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
Keywords: | Innovation systems; Framework programmes; Agri-Food; Network Analysis |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Management School (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 14 Oct 2020 11:11 |
Last Modified: | 10 Apr 2022 00:38 |
Status: | Published |
Publisher: | Elsevier BV |
Refereed: | Yes |
Identification Number: | 10.1016/j.techfore.2020.120372 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:166715 |