Nanotechnology and knowledge relatedness: how to identify optimal regional partners in EU innovation networks?

Author:

Calignano Giuseppe1ORCID,Lee Junmin2ORCID,Kogler Dieter F3ORCID

Affiliation:

1. Department of Organisation, Leadership and Management (Campus Lillehammer), Inland Norway University of Applied Sciences , Postboks 400 Vestad, Elverum 2418, Norway

2. Department of Public Policy and Management, Pusan National University , 2 Busandaehak-ro 63beon-gil, Geumjeong-gu, Busan 46241, South Korea

3. Spatial Dynamics Lab and Insight Centre for Data Analytics, University College Dublin , Belfield, Dublin 4, Dublin, Ireland

Abstract

Abstract Research & Innovation (R&I) policy initiatives employed by the European Union (EU) across its regional economies are important instruments to ensure the scientific and technological progress along with the associated benefits. One relevant aspect in this regard is to encourage and enable collaboration between regional partners to enhance potential learning opportunities and to ensure cohesive long-term development patterns. Furthermore, frequently these initiatives are also targeted at specific technology sectors, such as the EU R&I policy actions towards nanotechnology. Based on an advance theoretical framework and data from the official EU project databases as well as regionalized European Patent Office data, the present study develops a methodological tool through which it is possible to identify effective collaboration settings, while providing policymakers and evaluators with a practical tool that will enable them to predict the possible outcomes of such critical EU-funded R&I projects from the onset.

Funder

Science Foundation Ireland

European Research Council

Publisher

Oxford University Press (OUP)

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