Avui, dilluns 8 de juny, el Dipòsit Digital no estarà operatiu de 15:00 a 17:00 h per tasques de manteniment. Disculpeu les molèsties.
Hoy, lunes 8 de junio, el Dipòsit Digital no estará operativo de 15:00 a 17:00 h debido a tareas de mantenimiento. Disculpen las molestias.
Today, Monday, Jun 8th, the Digital Repository will be unavailable due to a system update.

Document type

Article

Version

Accepted version

Publication date

All rights reserved

Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/186294

Knowledge transfer profiles of public research organisations: the role of fields of knowledge specialisation

Journal Title

Director/Tutor

Journal ISSN

Volume Title

Abstract

While public research organisations (PROs) are increasingly expected to transfer knowledge to businesses and other stakeholders, their engagement in knowledge transfer (KT) activities is still under-researched. Better understanding of PROs' KT engagement, including how it is shaped by PROs' organisational characteristics, could lead to better tailored policies in support to PROs' effort to transfer knowledge. We develop a conceptual framework linking PROs' specialisation in different fields of knowledge to their profiles of KT engagement and validate it empirically using a six-year panel data set of 33 PROs in the UK. We use multidimensional scaling and cluster analysis techniques to identify three distinct KT profiles, which are stable over time, and strongly associated with the PROs' knowledge field specialisation. We argue that these profiles may depend on the different market readiness and user specificity of knowledge outputs arising from different fields of knowledge and derive implications for theory, policy, and practice.

Citation

Citation

TORRE GARCÍA, Eva Maria de la, et al. Knowledge transfer profiles of public research organisations: the role of fields of knowledge specialisation. Science and Public Policy. 2021. Vol. 48, num. 6, pags. 860-876. ISSN 0302-3427. [consulted: 8 of June of 2026]. Available at: https://hdl.handle.net/2445/186294

Export metadata

JSON - METS

Share record