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An integrated cost-performance model of research and development evaluation


  • Geisler, E.


This paper proposes an integrated model of R & D evaluation which links the cost of research with its various outputs, from proximal or immediate to the intermediate outputs in the client organizations of the R & D performer. This model differs from previous models in that it consolidates both cost and performance assessment. Indexes of cost-performance are constructed, for each category of output, and as a measure of productivity per scientist and engineer engaged in research. The indexes proposed in this model reflect the relative cost-effectiveness of the R & D activity throughout a substantial portion of the innovation process. As a comprehensive and integrated model, it transcends the limitations of immediate outputs utilized by other models. The model allows for comparisons, at the program, corporate and national levels, of the cost-performance of research. Some methodological and implementation problems are discussed.

Suggested Citation

  • Geisler, E., 1995. "An integrated cost-performance model of research and development evaluation," Omega, Elsevier, vol. 23(3), pages 281-294, June.
  • Handle: RePEc:eee:jomega:v:23:y:1995:i:3:p:281-294

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    References listed on IDEAS

    1. Palda, Kristian S., 1986. "Technological intensity: Concept and measurement," Research Policy, Elsevier, vol. 15(4), pages 187-198, August.
    2. Jensen, Elizabeth J, 1987. "Research Expenditures and the Discovery of New Drugs," Journal of Industrial Economics, Wiley Blackwell, vol. 36(1), pages 83-95, September.
    3. Mansfield, Edwin, 1991. "Academic research and industrial innovation," Research Policy, Elsevier, vol. 20(1), pages 1-12, February.
    4. Nederhof, A. J. & van Raan, A. F. J., 1993. "A bibliometric analysis of six economics research groups: A comparison with peer review," Research Policy, Elsevier, vol. 22(4), pages 353-368, August.
    5. Irvine, John & Martin, Ben R. & Abraham, John & Peacock, Tim, 1987. "Assessing basic research: Reappraisal and update of an evaluation of four radio astronomy observatories," Research Policy, Elsevier, vol. 16(2-4), pages 213-227, August.
    6. Mansfield, Edwin, 1992. "Academic research and industrial innovation: A further note," Research Policy, Elsevier, vol. 21(3), pages 295-296, June.
    7. Todd R. Zenger, 1994. "Explaining Organizational Diseconomies of Scale in R&D: Agency Problems and the Allocation of Engineering Talent, Ideas, and Effort by Firm Size," Management Science, INFORMS, vol. 40(6), pages 708-729, June.
    8. Mansfield, Edwin & Romeo, Anthony & Switzer, Lorne, 1983. "R&D price indexes and real R&D expenditures in the United States," Research Policy, Elsevier, vol. 12(2), pages 105-112, April.
    9. Baltagi, Badi H & Griffin, James M, 1988. "A General Index of Technical Change," Journal of Political Economy, University of Chicago Press, vol. 96(1), pages 20-41, February.
    10. Cordero, Rene, 1990. "The measurement of innovation performance in the firm: An overview," Research Policy, Elsevier, vol. 19(2), pages 185-192, April.
    11. Richard R. Nelson, 1959. "The Simple Economics of Basic Scientific Research," Journal of Political Economy, University of Chicago Press, vol. 67, pages 297-297.
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    Cited by:

    1. Mary M. Crossan & Marina Apaydin, 2010. "A Multi-Dimensional Framework of Organizational Innovation: A Systematic Review of the Literature," Journal of Management Studies, Wiley Blackwell, vol. 47(6), pages 1154-1191, September.
    2. Gallego, Jorge & Rubalcaba, Luis & Suárez, Cristina, 2013. "Knowledge for innovation in Europe: The role of external knowledge on firms' cooperation strategies," Journal of Business Research, Elsevier, vol. 66(10), pages 2034-2041.
    3. repec:spr:scient:v:91:y:2012:i:3:d:10.1007_s11192-011-0602-8 is not listed on IDEAS
    4. Zhang, Gupeng & Zhou, Jianghua, 2016. "The effects of forward and reverse engineering on firm innovation performance in the stages of technology catch-up: An empirical study of China," Technological Forecasting and Social Change, Elsevier, vol. 104(C), pages 212-222.
    5. Guan, Jiancheng & Chen, Kaihua, 2012. "Modeling the relative efficiency of national innovation systems," Research Policy, Elsevier, vol. 41(1), pages 102-115.
    6. repec:spr:scient:v:94:y:2013:i:3:d:10.1007_s11192-012-0811-9 is not listed on IDEAS
    7. repec:spr:scient:v:100:y:2014:i:2:d:10.1007_s11192-014-1288-5 is not listed on IDEAS
    8. Peretz, Jean H. & Das, Sujit & Tonn, Bruce E., 2009. "Evaluating knowledge benefits of automotive lightweighting materials R&D projects," Evaluation and Program Planning, Elsevier, vol. 32(3), pages 300-309, August.
    9. Hashimoto, Akihiro & Haneda, Shoko, 2008. "Measuring the change in R&D efficiency of the Japanese pharmaceutical industry," Research Policy, Elsevier, vol. 37(10), pages 1829-1836, December.


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