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Cited by 365

The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.

How intermediary organizations facilitate university–industry technology transfer: A proximity approach

Open access
Villani, Elisa, Rasmussen, Einar, Grimaldi, Rosa·2017·Technological Forecasting and Social Change
DOI 10.1016/j.techfore.2016.06.004
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Abstract

The literature on university–industry (U–I) links has revealed many barriers that impede U–I technology transfer. A growing number of intermediary organizations, such as Technology Transfer Offices (TTOs), University Incubators (UIs), and Collaborative Research Centres (CRCs) have been established to mitigate such barriers. While the activities and effects of such intermediaries are frequently studied, conceptual understandings of how these organizations facilitate technology transfer are lacking. Our case study of nine Italian intermediary organizations shows that different types of intermediary organizations address the same fundamental issue of bridging the different logics of academia and industry in different ways. Based on a proximity approach, we develop a theoretical framework explaining how intermediary organizations can reduce cognitive, geographical, organizational, and social distance in U–I collaborations. Intermediary organizations address different proximity dimensions depending on the prior experience of academic and industrial actors and the nature of the knowledge that is transferred. In particular, TTOs focus more on improving cognitive and organizational dimensions, whereas UIs and CRCs attempt to reduce social and geographical distance.

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Metadata

Authors
Villani, E., Rasmussen, E., & Grimaldi, R.
Venue
Technological Forecasting and Social Change
Publisher
Elsevier BV
Published
2017-01
Volume
114
Pages
86-102
ISSN
0040-1625 (ISSN-L)
DOI
10.1016/j.techfore.2016.06.004
OpenAlex
W2439291928
Cited by
365
References
71
FWCI
42.60
Type
journal article
Language
en
Open access
green

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.