EconPapers    
Economics at your fingertips  
 

Impact assessment of a support programme of science-based emerging technologies

Ulrich Schmoch (), Bernd Beckert and Petra Schaper-Rinkel
Additional contact information
Ulrich Schmoch: Fraunhofer Institute for Systems and Innovation Research
Bernd Beckert: Fraunhofer Institute for Systems and Innovation Research
Petra Schaper-Rinkel: Austrian Institute of Technology

Scientometrics, 2019, vol. 118, issue 3, No 21, 1161 pages

Abstract: Abstract The impact assessment of support programmes of science-based emerging technologies requires the analysis of several dimensions of performance, as these programmes refer to used-inspired basic research which is linked to basic research as well as to technological application. Bibliometric analysis proves to be a useful tool for capturing different aspects of performance. In the specific programme “future emerging technologies”, interdisciplinarity turns out to be crucial for achieving excellent and creative outcomes. Furthermore, the orientation on risky projects yields some excellent results, but few failures.

Keywords: Impact assessment; Science-based emerging technologies; Multi-dimensional impact; Impact of interdisciplinarity; Impact of risk-orientation (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (4)

Downloads: (external link)
http://link.springer.com/10.1007/s11192-018-03002-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:scient:v:118:y:2019:i:3:d:10.1007_s11192-018-03002-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/11192

DOI: 10.1007/s11192-018-03002-x

Access Statistics for this article

Scientometrics is currently edited by Wolfgang Glänzel

More articles in Scientometrics from Springer, Akadémiai Kiadó
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:scient:v:118:y:2019:i:3:d:10.1007_s11192-018-03002-x