• DocumentCode
    2968200
  • Title

    Valuation of R&D investments for new products: A real options approach focusing on key uncertainties

  • Author

    Wouters, M.J.F. ; Roorda, B. ; Gal, R.

  • Author_Institution
    Dept. of Finance & Accounting, Univ. of Twente, Enschede, Netherlands
  • fYear
    2009
  • fDate
    8-11 Dec. 2009
  • Firstpage
    1627
  • Lastpage
    1631
  • Abstract
    Firms make very significant investments in new product development (NPD) projects, yet the economic return on these investments is often uncertain. The technical success of NPD projects is one source of uncertainty, and also how the market (customers) will respond to the new product. Often there is flexibility that firms can exploit to deal with uncertainty. Real options models can represent this uncertainty and flexibility. This paper presents a real options approach for valuing early-stage NPD projects, which is practically applicable in a complex setting: many uncertainties about technology and market; the order in which uncertainties are resolved and decisions will be made, cannot be fully specified in advance; transparency of the method is key; and interdependencies among NPD projects exist. The approach, implemented through a spreadsheet model, has been developed by Philips Lighting and university researchers, and it has been applied to support large NPD investment decisions.
  • Keywords
    decision making; decision trees; economics; investment; product development; research and development management; R&D investments; decision making; decision trees; economic return on investments; new product development projects; real options models; spreadsheet model; Context modeling; Continuous time systems; Cost accounting; Decision trees; Economic forecasting; Finance; Investments; Product development; Research and development; Uncertainty; New product development; R&D; decision trees; investment decisions; real options;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2009. IEEM 2009. IEEE International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4244-4869-2
  • Electronic_ISBN
    978-1-4244-4870-8
  • Type

    conf

  • DOI
    10.1109/IEEM.2009.5373118
  • Filename
    5373118