Knowledge recombination for emerging technological innovations: The case of green shipping
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The paper explores knowledge recombination by analysing how knowledge networks in established technological fields influenced the formation of the emerging field of green shipping in the period 2007–2018. Previous research has demonstrated that embeddedness, proximity, and status are important mechanisms for the evolution of single technological fields. We investigate if these mechanisms also apply across technological fields. By employing dynamic social network analysis models, we find that actors transferred knowledge across technological fields through (re)combination mechanisms, which affected the emergence of the new technological field, but in different ways. While embeddedness and proximity played an important role, status was less important.
Originalsprog | Engelsk |
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Artikelnummer | 102454 |
Tidsskrift | Technovation |
Vol/bind | 114 |
Antal sider | 10 |
ISSN | 0166-4972 |
DOI | |
Status | Udgivet - 2022 |
Bibliografisk note
Funding Information:
This research was funded by the Research Council of Norway through the project ?Greening the Fleet - Sustainability Transitions in the Maritime Shipping Sector? (Grant 268166). We gratefully acknowledge support also from the ?Centre for the study of innovation policy for industrial transformation, sustainability and digitalization - INTRANSIT? (Grant 295021). We would like to thank the GREENFLEET project participants, the members of INTRANSIT centre and the GEOINNO 2020 conference, where an early version of this paper was presented, for feedback and discussion. Finally, we would like also to thank the two anonymous reviewers and the editor for their thoughtful comments and guidance on this paper
Funding Information:
This research was funded by the Research Council of Norway through the project “Greening the Fleet - Sustainability Transitions in the Maritime Shipping Sector” (Grant 268166 ). We gratefully acknowledge support also from the “Centre for the study of innovation policy for industrial transformation, sustainability and digitalization - INTRANSIT” (Grant 295021). We would like to thank the GREENFLEET project participants, the members of INTRANSIT centre and the GEOINNO 2020 conference, where an early version of this paper was presented, for feedback and discussion. Finally, we would like also to thank the two anonymous reviewers and the editor for their thoughtful comments and guidance on this paper
Publisher Copyright:
© 2022
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