A generalized fuzzy optimization framework for R&D project selection using real options valuation


ICCSA 2006: International Conference on Computational Science and Its Applications, Glasgow, England, 8 - 11 May 2006, vol.3982 LNCS, pp.918-927 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 3982 LNCS
  • Doi Number: 10.1007/11751595_96
  • City: Glasgow
  • Country: England
  • Page Numbers: pp.918-927
  • Galatasaray University Affiliated: Yes


Global marketplace and intense competition in the business environment lead organizations to focus on selecting the best R&D project portfolio among available projects using their scarce resources in the most effective manner. This happens to be a sine qua non for high technology firms to sharpen their competitive advantage and realize long-term survival with sustainable growth. To accomplish that, firms should take into account both the uncertainty inherent in R&D using appropriate valuation techniques accounting for flexibility in making investment decisions and all possible interactions between the candidate projects within an optimization framework. This paper provides a fuzzy optimization model for dealing with the complexities and uncertainties regarding the construction of an R&D project portfolio. Real options analysis, which accounts for managerial flexibility, is employed to correct the deficiency of traditional discounted cash flow valuation that excludes any form of flexibility. An example is provided to illustrate the proposed decision approach. © Springer-Verlag Berlin Heidelberg 2006.