Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/29189
Title: Proximity and impact of university-industry collaborations. A topic detection analysis of impact reports
Authors: Rossi, F
De Silva, M
Pavone, P
Rosli, A
Yip, NKT
Keywords: university-industry collaborations (UICs);impact measurement;topic detection;geographical proximity;cognitive proximity;institutional proximity
Issue Date: 12-Jun-2024
Publisher: Elsevier
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.
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.
Description: Data availability: Data will be made available on request.
URI: https://bura.brunel.ac.uk/handle/2438/29189
DOI: https://doi.org/10.1016/j.techfore.2024.123473
ISSN: 0040-1625
Other Identifiers: ORCiD: Ainurul Rosli https://orcid.org/0000-0002-7819-2255
123473
Appears in Collections:Brunel Business School Research Papers

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