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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Ulrich Schmoch & Bernd Beckert & Petra Schaper-Rinkel, 2019. "Impact assessment of a support programme of science-based emerging technologies," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 1141-1161, March.
    • Handle: RePEc:spr:scient:v:118:y:2019:i:3:d:10.1007_s11192-018-03002-x
    DOI: 10.1007/s11192-018-03002-x
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    References listed on IDEAS

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    1. Schmoch, Ulrich, 2007. "Double-boom cycles and the comeback of science-push and market-pull," Research Policy, Elsevier, vol. 36(7), pages 1000-1015, September.
    2. Cochrane, John H., 2005. "The risk and return of venture capital," Journal of Financial Economics, Elsevier, vol. 75(1), pages 3-52, January.
    3. Mason, Colin M. & Harrison, Richard T., 2002. "Is it worth it? The rates of return from informal venture capital investments," Journal of Business Venturing, Elsevier, vol. 17(3), pages 211-236, May.
    4. Sahlman, William A., 1990. "The structure and governance of venture-capital organizations," Journal of Financial Economics, Elsevier, vol. 27(2), pages 473-521, October.
    5. Bonnín Roca, Jaime & Vaishnav, Parth & Morgan, M.Granger & Mendonça, Joana & Fuchs, Erica, 2017. "When risks cannot be seen: Regulating uncertainty in emerging technologies," Research Policy, Elsevier, vol. 46(7), pages 1215-1233.
    6. Georghiou, Luke & Roessner, David, 2000. "Evaluating technology programs: tools and methods," Research Policy, Elsevier, vol. 29(4-5), pages 657-678, April.
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    Cited by:

    1. Annita Nugent & Ho Fai Chan & Uwe Dulleck, 2022. "Government funding of university-industry collaboration: exploring the impact of targeted funding on university patent activity," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 29-73, January.
    2. Paul Donner & Ulrich Schmoch, 2020. "The implicit preference of bibliometrics for basic research," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1411-1419, August.
    3. Ulrich Schmoch, 2020. "Mean values of skewed distributions in the bibliometric assessment of research units," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(2), pages 925-935, November.
    4. Ryosuke L. Ohniwa & Kunio Takeyasu & Aiko Hibino, 2022. "Researcher dynamics in the generation of emerging topics in life sciences and medicine," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(2), pages 871-884, February.

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