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DC Field | Value | Language |
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dc.contributor.author | Rossi, F | - |
dc.contributor.author | De Silva, M | - |
dc.contributor.author | Pavone, P | - |
dc.contributor.author | Rosli, A | - |
dc.contributor.author | Yip, NKT | - |
dc.date.accessioned | 2024-06-15T18:27:13Z | - |
dc.date.available | 2024-06-15T18:27:13Z | - |
dc.date.issued | 2024-06-12 | - |
dc.identifier | ORCiD: Ainurul Rosli https://orcid.org/0000-0002-7819-2255 | - |
dc.identifier | 123473 | - |
dc.identifier.citation | Rossi, F. et al. (2024) 'Proximity and impact of university-industry collaborations. A topic detection analysis of impact reports', Technological Forecasting and Social Change, 205, 123473, pp. 1 - 23. doi: 10.1016/j.techfore.2024.123473. | en_US |
dc.identifier.issn | 0040-1625 | - |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/29189 | - |
dc.description | Data availability: Data will be made available on request. | en_US |
dc.description.abstract | The probability to initiate university-industry collaborations (UICs), their intensity and quality, are influenced by the proximity between the collaboration partners. However, little is known about the relationship between collaborators' proximity and impact of UICs. Building on an original database of 415 UICs in the United Kingdom, we analyse the association between collaborators' proximity and the extent to which UICs generate economic, social and knowledge impact. We find that geographical and institutional proximity are substitutes in relation to economic impact, cognitive and institutional proximity are substitutes in relation to knowledge impact, and social impact is associated with cognitive and institutional distance. | en_US |
dc.description.sponsorship | This research was supported by Transition 2 grant n 163 from the British Academy of Management on “Developing impact measures of university-industry collaborations using text mining: evidence from Knowledge Transfer Partnerships in the UK”, and by a British Academy Leverhulme grant number SG150100 on “Knowledge co-creation between universities and small and medium-sized enterprises: drivers and impact”. We are grateful to InnovateUK for allowing access to the database of KTP case studies. | en_US |
dc.format.extent | 1 - 23 | - |
dc.format.medium | Print-Electronic | - |
dc.language | English | - |
dc.language.iso | en_US | en_US |
dc.publisher | Elsevier | en_US |
dc.rights | Copyright © 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/). | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.subject | university-industry collaborations (UICs) | en_US |
dc.subject | impact measurement | en_US |
dc.subject | topic detection | en_US |
dc.subject | geographical proximity | en_US |
dc.subject | cognitive proximity | en_US |
dc.subject | institutional proximity | en_US |
dc.title | Proximity and impact of university-industry collaborations. A topic detection analysis of impact reports | en_US |
dc.type | Article | en_US |
dc.date.dateAccepted | 2024-05-27 | - |
dc.identifier.doi | https://doi.org/10.1016/j.techfore.2024.123473 | - |
dc.relation.isPartOf | Technological Forecasting and Social Change | - |
pubs.publication-status | Published | - |
pubs.volume | 205 | - |
dc.identifier.eissn | 1873-5509 | - |
dc.rights.license | https://creativecommons.org/licenses/by/4.0/legalcode.en | - |
dc.rights.holder | The Authors | - |
Appears in Collections: | Brunel Business School Research Papers |
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FullText.pdf | Copyright © 2024 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (https://creativecommons.org/licenses/by/4.0/). | 839.77 kB | Adobe PDF | View/Open |
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