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Industrial R&D Program Evaluation Techniques

Author

Listed:
  • David P. Sorensen

    (3M Corporate Technical Planning and Coordination Department)

  • Kerry S. Nelson

    (3M Corporate Technical Planning and Coordination Department)

  • John P. Tomsyck

    (3M Corporate Technical Planning and Coordination Department)

Abstract

U.S. industry's interest in and implementation of research and development (R&D) program evaluation techniques has been evolving throughout the twentieth century. Due in large part to the amount of funds corporations are now investing in R&D programs, evaluation techniques continue to become increasingly important. In this article, the history of R&D and its evaluation within the 3M Company will be used as an example of this progression. The article discusses how U.S. industrial R&D has moved from individual or few-person efforts earlier this century to today's high-investment, large-scale team approaches. A review of the most frequently used U.S. industrial R&D program evaluation methods is included. Among these are scoring methods, cost/benefit analysis, and risk analysis. The largest part of the article is a description of the 3M technical audit process. In addition to discussing the procedural and scoring elements of the technical audit, emphasis is placed on how 3M attains a variety of benefits from the process. The article concludes with a summary of other activities that take place in 3M's Technology Analysis Department. These projects involve measuring R&D productivity and assessing the technological health (present and future) of 3M.

Suggested Citation

  • David P. Sorensen & Kerry S. Nelson & John P. Tomsyck, 1994. "Industrial R&D Program Evaluation Techniques," Evaluation Review, , vol. 18(1), pages 52-64, February.
  • Handle: RePEc:sae:evarev:v:18:y:1994:i:1:p:52-64
    DOI: 10.1177/0193841X9401800106
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    Cited by:

    1. Eduardo Rossi, 2010. "Univariate GARCH models: a survey (in Russian)," Quantile, Quantile, issue 8, pages 1-67, July.

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