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Optimal diversification for R&D project portfolios

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Abstract

Diversification of R&D projects not only can reduce overall risk, but also can create value-enhancement effect. A useful guideline for optimal diversification of R&D projects is important to R&D organizations. This paper extends financial portfolio analyses for R&D management particularly incorporating the technology risk. This study uses a survival model to describe the technology risk since termination of an R&D project can be caused by any technology risk factors. A formula of optimal R&D resource allocation that can dynamically achieve the greatest diversification effect is offered. Furthermore we provide an alternative method for estimating correlations between R&D portfolios, which has a critical influence on diversification effect. The method can be useful in risk assessment when measure the exposure of R&D portfolio to particular sources of uncertainty. The evaluation framework for R&D portfolios optimization also can be applied in project-selection decisions.

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References

  • Bodie, Z., Kane, A., & Marcus, A. J. (2009). Investments. New York: McGraw-Hill.

    Google Scholar 

  • Boer, F. P. (2002). The real options solution. New York: Wiley.

    Google Scholar 

  • Boer, F. P. (2003). Risk-adjusted valuation of R&D projects. Research Technology Management, 46(5), 50–57.

    Google Scholar 

  • Carter, R. (1997). Financial analysis for R&D decisions. Journal of the Society of Research Administrators, 29(1 & 2, Summer-Fall), 5–15.

    Google Scholar 

  • Carter, R., & Edwards, D. (2001). Financial analysis extends management of R&D. Research Technology Management, 44(5), 47–57.

    Google Scholar 

  • Cox, J. C., Ross, S. A., & Rubinstein, M. (1979). Option pricing: A simplified approach. Journal of Financial Economics, 7(3), 229–263.

    Article  MATH  Google Scholar 

  • Galligan, D. T., & Marsh, W. E. (1988). Application of portfolio theory for the optimal choice of dairy veterinary management programs. Preventive Veterinary Medicine, 5, 251–261.

    Article  Google Scholar 

  • Gibbons, J. R. (1996). Keynote address. ONR investing in the future 1946–1996: A symposium (pp. 5–8). Washington, DC: National Academy of Sciences. 22 May 1996.

  • Golabi, K., Kirwood, C. W., & Sicherman, A. (1981). Selecting a portfolio of solar energy projects using multi-attribute preference theory. Management Science, 40, 1040–1052.

    Google Scholar 

  • Hall, N. G., Hershey, J. C., Kessler, L. G., & Stotts, R. C. (1992). A model for making project funding decisions at the National Cancer Institute. Operations Research, 40, 1040–1052.

    Article  Google Scholar 

  • Jolly, D. (2003). The issue of weightings in technology portfolio management. Technovation, 23, 383–391.

    Article  Google Scholar 

  • Lin, B. W., & Chen, J. S. (2005). Corporate technology portfolios and R&D performance measures: A study of technology intensive firms. R&D Management, 35(2), 157–170.

    Article  Google Scholar 

  • Linton, J. D., Walsh, S. T., & Morabito, J. (2002). Analysis, ranking and selection of R&D projects in a portfolio. R&D Management, 32(2), 139–148.

    Article  Google Scholar 

  • Luo, L. M., Sheu, H. J., & Hu, Y. P. (2008). Evaluating R&D projects with risk diversification behavior. Research Technology Management, 51(6), 51–57.

    Google Scholar 

  • Macmillan, I. C., & McGrath, R. G. (2002). Crafting R&D project portfolios. Research Technology Management, 45(5), 48–59.

    Google Scholar 

  • Markowitz, H. M. (1952). Portfolio selection. Journal of Finance, 7(1), 77–91.

    Article  Google Scholar 

  • Mikkola, J. H. (2001). Portfolio management of R&D projects: Implications for innovation management. Technovation, 21, 423–435.

    Article  Google Scholar 

  • Mohr, R., Pacl, H., & Hartmann, M. (2008). Realize hidden value through timely portfolio decisions. Research Technology Management, 51(6), 44–50.

    Google Scholar 

  • Raynor, M. E., & Leroux, X. (2004). Strategic flexibility in R&D. Research Technology Management, 47(3), 27–32.

    Google Scholar 

  • Ringuest, J. L., & Graves, S. B. (2005). Formulating optimal R&D portfolios. Research Technology Management, 48(6), 42–47.

    Google Scholar 

  • Ringuest, J. L., Graves, S. B., & Case, R. H. (1999). Formulating R&D portfolios that account for risk. Research Technology Management, 42(6), 40–43.

    Google Scholar 

  • Seider, R. (2006). Optimizing project portfolios. Research Technology Management, 49(5), 43–48.

    Google Scholar 

  • Sharpe, W. F. (1964). Capital asset price: A theory of market equilibrium. The Journal of Finance, 19, 425–442.

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Finance & International Business, Fu Jen Catholic University, 510, Chun-Cheng Rd., Hsinchuang, New Taipei City, 24205, Taiwan, R.O.C.

    Lieh-Ming Luo

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  1. Lieh-Ming Luo
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Correspondence to Lieh-Ming Luo.

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Luo, LM. Optimal diversification for R&D project portfolios. Scientometrics 91, 219–229 (2012). https://doi.org/10.1007/s11192-011-0537-0

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  • DOI: https://doi.org/10.1007/s11192-011-0537-0

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