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"A Note on New Product Project Selection Model: Empirical Analysis in Chemical Industry" (in Japanese)

Author

Listed:
  • Kenichi Kuwashima

    (Faculty of Economics, University of Tokyo)

  • Junichi Tomita

    (Graduate School of Economics, University of Tokyo)

Abstract

By focusing its attention on one particular scoring method that is used to evaluate R&D projects, this paper seeks to specify empirically the factors that discriminate successful projects from failed projects in the Japanese chemical industry. Our statistical analysis revealed that when projects are evaluated in this industry, three factors, marketability, technology, and synergistic potential, tend to be valued by practitioners approximately in a 3:2:1 ratio. Although the project evaluations in this research were conducted ex-post, the findings suggest that the results may also be applicable in the project selection stage. Building on our findings, we propose a Continuous Improvement Scoring Method (CISM) that contains continuous improvement cycles and links ex-ante project selection with ex-post project evaluation.

Suggested Citation

  • Kenichi Kuwashima & Junichi Tomita, 2001. ""A Note on New Product Project Selection Model: Empirical Analysis in Chemical Industry" (in Japanese)," CIRJE J-Series CIRJE-J-60, CIRJE, Faculty of Economics, University of Tokyo.
    • Handle: RePEc:tky:jseres:2001cj60
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    File URL: http://www.cirje.e.u-tokyo.ac.jp/research/dp/2001/2001cj60.pdf
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