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.

Proximity and impact of university-industry collaborations. A topic detection analysis of impact reports / Rossi, Federica; De Silva, Muthu; Pavone, Pasquale; Rosli, Ainurul; Yip, Nick. - In: TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. - ISSN 1873-5509. - 205:(2024), pp. N/A-N/A. [10.1016/j.techfore.2024.123473]

Proximity and impact of university-industry collaborations. A topic detection analysis of impact reports

Rossi, Federica
;
Pavone, Pasquale;
2024

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.
2024
12-giu-2024
205
N/A
N/A
Proximity and impact of university-industry collaborations. A topic detection analysis of impact reports / Rossi, Federica; De Silva, Muthu; Pavone, Pasquale; Rosli, Ainurul; Yip, Nick. - In: TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE. - ISSN 1873-5509. - 205:(2024), pp. N/A-N/A. [10.1016/j.techfore.2024.123473]
Rossi, Federica; De Silva, Muthu; Pavone, Pasquale; Rosli, Ainurul; Yip, Nick
File in questo prodotto:
File Dimensione Formato  
fr_mds_pp_ar_ny_TFSC_2024.pdf

Open access

Tipologia: VOR - Versione pubblicata dall'editore
Dimensione 839.77 kB
Formato Adobe PDF
839.77 kB Adobe PDF Visualizza/Apri
Pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1341848
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? 1
social impact