Can we predict successful market introduction using on-going R&D evaluation data?

Miyajima, Shumpei and Isshiki, Toshiyuki and Kunugi, Motoshi and Uesaka, Shin (2022) Can we predict successful market introduction using on-going R&D evaluation data? fteval Journal for Research and Technology Policy Evaluation (53). pp. 153-159. ISSN 1726-6629

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Official URL: https://fteval.at/content/home/journal/aktuelles/

Abstract (english)

This study aims to find reproducible correlations/causality between the evaluation data of ongoing R&D projects funded by NEDO and the ex-post monitoring data of actual commercialisation achievement by those projects. The understanding of the results of this study will be used for designing our R&I policies for the next era as a funding agency by, for example, promoting more effective schemes which will eventually increase our contribution to society. The results showed positive correlations between the assessed grade for sections of the evaluation and the commercialisation status, indicating the possibility of identifying those projects that need management revision before the extended R&D activities by the companies.

Subjects: Evaluation of Programmes
Studies on Evaluation
Uncontrolled Keywords: Evaluation, Umfrage, praktische Anwendung, Ergebnisse, Wirkung, Korrelation
Identification Number: 10.22163/fteval.2022.553
Date Deposited: 20 Apr 2022 06:31
URI: http://repository.fteval.at/id/eprint/613

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