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
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