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Selection of a portfolio of R&D projects

In: Handbook on the Theory and Practice of Program Evaluation

Author

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  • Sébastien Casault
  • Aard J. Groen
  • Jonathan D. Linton

Abstract

As this volume demonstrates, a wide variety of methodologies exist to evaluate particularly the objectives and outcomes of research and development programs. These include surveys, statistical and econometric estimations, patent analyses, bibliometrics, scientometrics, network analyses, case studies, and historical tracings. Contributors divide these and other methods and applications into four categories – economic, non-economic, hybrid and data-driven – in order to discuss the many factors that affect the utility of each technique and how that impacts the technological, economic and societal forecasts of the programs in question.

Suggested Citation

  • Sébastien Casault & Aard J. Groen & Jonathan D. Linton, 2013. "Selection of a portfolio of R&D projects," Chapters, in: Albert N. Link & Nicholas S. Vonortas (ed.), Handbook on the Theory and Practice of Program Evaluation, chapter 4, pages 89-111, Edward Elgar Publishing.
    • Handle: RePEc:elg:eechap:14384_4
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    References listed on IDEAS

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    1. Hartmann, Marcus & Hassan, Ali, 2006. "Application of real options analysis for pharmaceutical R&D project valuation--Empirical results from a survey," Research Policy, Elsevier, vol. 35(3), pages 343-354, April.
    2. Nicholas S. Vonortas & Henry R. Hertzfeld, 1998. "Research and development project selection in the public sector," Journal of Policy Analysis and Management, John Wiley & Sons, Ltd., vol. 17(4), pages 621-638.
    3. Myers, Stewart C., 1977. "Determinants of corporate borrowing," Journal of Financial Economics, Elsevier, vol. 5(2), pages 147-175, November.
    4. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    5. Eilat, Harel & Golany, Boaz & Shtub, Avraham, 2006. "Constructing and evaluating balanced portfolios of R&D projects with interactions: A DEA based methodology," European Journal of Operational Research, Elsevier, vol. 172(3), pages 1018-1039, August.
    6. Huang, Chi-Cheng & Chu, Pin-Yu & Chiang, Yu-Hsiu, 2008. "A fuzzy AHP application in government-sponsored R&D project selection," Omega, Elsevier, vol. 36(6), pages 1038-1052, December.
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