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

被引：5

作者：

Rossi, Federica ^{[1
,2
]}

De Silva, Muthu ^{[2
,3
]}

Pavone, Pasquale ^{[1
]}

Rosli, Ainurul ^{[4
]}

Yip, Nick K. T. ^{[4
]}

机构：

[1] Univ Modena & Reggio Emilia, Dipartimento Econ Marco Biagi, Via J Berengario 51, I-41121 Modena, Italy

[2] Univ Vaasa, InnoLab, PB 700, Vaasa 65101, Finland

[3] Birkbeck Univ London, Dept Management, Malet St, London WC1E 7HX, England

[4] Brunel Univ London, Brunel Business Sch, Kingston Lane, Uxbridge UB8 3PH, Middx, England

来源：

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE | 2024年 / 205卷

关键词：

University -industry collaborations (UICs); Impact measurement; Topic detection; Geographical proximity; Cognitive proximity; Institutional proximity; KNOWLEDGE PRODUCTION; TECHNOLOGY-TRANSFER; SOCIETAL IMPACT; INSTITUTIONAL PROXIMITY; MANAGEMENT RESEARCH; COGNITIVE DISTANCE; CO-CREATION; INNOVATION; FIRMS; STRATEGIES;

D O I：

10.1016/j.techfore.2024.123473

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

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.

引用

页数：23

共 146 条

[1]

Aggarwal CC, 2012, Mining Text Data

[2] University-Industry partnerships in the smart specialisation era [J].

Aksoy, Arman Y. ;

Pulizzotto, Davide ;

Beaudry, Catherine .

TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2022, 176

[3] Criteria for assessing quality in academic research: the views of biomedical scientists, clinical scientists and social scientists [J].

Albert, Mathieu ;

Laberge, Suzanne ;

McGuire, Wendy .

HIGHER EDUCATION, 2012, 64 (05) :661-676

[4] The search for topics related to electric mobility: a comparative analysis of some of the most widely used methods in the literature [J].

Alboni, Fabrizio ;

Pavone, Pasquale ;

Russo, Margherita .

METRON-INTERNATIONAL JOURNAL OF STATISTICS, 2023, 81 (03) :367-391

[5] Proximity across the distant worlds of university-industry collaborations [J].

Alpaydin, Utku Ali Riza ;

Fitjar, Rune Dahl .

PAPERS IN REGIONAL SCIENCE, 2021, 100 (03) :689-711

[6] Academic-practitioner collaboration in management research: A case of cross-profession collaboration [J].

Amabile, TM ;

Patterson, C ;

Mueller, J ;

Wojcik, T ;

Odomirok, PW ;

Marsh, M ;

Kramer, SJ .

ACADEMY OF MANAGEMENT JOURNAL, 2001, 44 (02) :418-431

[7] Universities-industry collaboration: A systematic review [J].

Ankrah, Samuel ;

Al-Tabbaa, Omar .

SCANDINAVIAN JOURNAL OF MANAGEMENT, 2015, 31 (03) :387-408

[8]

Asheim B., 2006, OXFORD HDB INNOVATIO, P291, DOI DOI 10.1093/OXFORDHB/9780199286805.003.0011

[9] Knowledge bases and regional innovation systems: Comparing Nordic clusters [J].

Asheim, BT ;

Coenen, L .

RESEARCH POLICY, 2005, 34 (08) :1173-1190

[10]

Aslesen H., 2010, KNOWLEDGE INTENSIVE, P99

← 1 2 3 4 5 6 7 8 9 10 →