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Boundary spanning R&D collaboration: Key enabling technologies and missions as alleviators of proximity effects?

Authors :
Janssen, Matthijs J.
Abbasiharofteh, Milad
Source :
Technological Forecasting & Social Change; Jul2022, Vol. 180, pN.PAG-N.PAG, 1p
Publication Year :
2022

Abstract

• Policy makers steer innovation via key enabling technologies and innovation missions. • These topics might link geographically and cognitively disparate sets of capabilities. • We study whether such boundary spanning happens in pre-commercial R&D collaboration. • Some key enabling technologies types do alleviate cognitive proximity constraints. • The reverse is found for the energy transition and sustainability mission theme. Two main targets of contemporary preferential innovation policy support, especially in Europe, are key enabling technologies (KETs) and innovation 'missions' focused on solving societal challenges. Both topics are associated with uniting disparate sets of capabilities, either by driving technology-based innovation into various application domains or by eliciting interdisciplinary and cross-sectoral solutions to urgent societal demands. In this study we assess to what extent pre-commercial R&D collaborations span geographic and cognitive boundaries. We analyze firm-level tie formation in Dutch collaborative R&D projects initiated in the period 2013–2018. Gravity models reveal that, while results for geographic proximity are mixed, some KET types are indeed related to projects in which cognitive proximity is significantly less relevant for tie formation. This contrasts with the findings for projects that retroactively received a mission label. Projects on health and care missions, and especially energy transition and sustainability missions, instead spur collaborations between cognitively proximate firms. The latter suggests that without additional policy intervention, such projects might interconnect similar rather than dissimilar knowledge bases. We conclude by discussing research and policy implications. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00401625
Volume :
180
Database :
Supplemental Index
Journal :
Technological Forecasting & Social Change
Publication Type :
Academic Journal
Accession number :
157285411
Full Text :
https://doi.org/10.1016/j.techfore.2022.121689