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Cross Comparisons on the Macro Level

  • Kerstin Cuhls
  • Terutaka Kuwahara
Part of the Technology, Innovation and Policy book series (3217, volume 1)

Abstract

A general assumption is that experts tend to have a positive bias towards their own field of expert knowledge (see chapter 1.1). Indeed, if the experts’ knowledge and the assessment of importance per topic are correlated, a good correlation for Japan and Germany is found: The experts consider these innovation projects, which they know better, to be more important. No significant correlations could be shown, however, on the level of the 16 technological areas as topics of high and low expert knowledge are mixed. Comparing the expert knowledge of the Japanese and German participants in the Delphi survey and their estimation of the importance of the examined topics per technology area, there are relatively small differences.

Keywords

Expert Knowledge Technical Constraint Funding Constraint Delphi Survey Forecast Realization Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Physica-Verlag Heidelberg 1994

Authors and Affiliations

  • Kerstin Cuhls
    • 1
  • Terutaka Kuwahara
    • 2
  1. 1.Fraunhofer Institute for Systems and Innovation ResearchKarlsruheGermany
  2. 2.National Institute of Science and Technology PolicyChiyoda-Ku Tokyo 100Japan

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