0 Datasets
0 Files
$0 Value
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessInstitute For Spatial And Social-ecological Transformations
The role of knowledge exchange and research cooperation between public research and the enterprise sector has received increasing attention in the analysis of innovation and technological change. The paper attempts to measure the sectoral pattern for different types of knowledge interactions and to explore the determinants of knowledge interaction between different fields of research and sectors of economic activity in Austria. The analysis is based on a comprehensive dataset on various types of knowledge interactions between university departments and private firms in Austria in the 1990s. A methodology for interaction models is used in order to identify determinants of knowledge interactions. The empirical results indicate that the intensity of knowledge interactions does not follow a simple sectoral pattern (assuming intense interactions between high-tech industries and firm-orientated technical sciences and low interactions in humanities and low-tech industries). They are rather influenced by a large set of different factors producing a complex pattern of interactions.
Doris Schartinger, Christian Rammer, Manfred M. Fischer, Josef Fröhlich (2002). Knowledge interactions between universities and industry in Austria: sectoral patterns and determinants. Research Policy, 31(3), pp. 303-328, DOI: 10.1016/s0048-7333(01)00111-1.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2002
Authors
4
Datasets
0
Total Files
0
Language
English
Journal
Research Policy
DOI
10.1016/s0048-7333(01)00111-1
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access