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Monte Carlo Methods in the Assessment of New Products: A Comparison of Different Approaches

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Classification as a Tool for Research

Abstract

In New Product Development (NPD), different financial assessment methods can be used, e.g., static and dynamic net present value methods, decision tree methods, and real options approaches. In all approaches, uncertainties can be specified and their impact on the project value can be analyzed using Monte Carlo Methods. This paper describes the use of Monte Carlo methods in information technology (IT). For comparing these different methods, the NPD case of the new video-conference system BRAVIS is elaborated.

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References

  • Adam, D. (1996). Planung und Entscheidung. Wiesbaden: Gabler.

    Google Scholar 

  • Amram, M., & Kulatilaka, N. (1999). Real options: Managing strategic investment in an uncertain world. Boston: Harvard Business School Press.

    Google Scholar 

  • Brach, M. (2003). Real options in practice. Hoboken: Wiley.

    Google Scholar 

  • Brealy, R. A., & Myers, S. C. (2003). Principles of corporate finance. Boston: McGraw-Hill.

    Google Scholar 

  • Copeland, T., & Antikarov, V. (2001). Real options: A practitioner’s guide. New York: Texere.

    Google Scholar 

  • Damodaran, A. (2001). Corporate finance. New York: Wiley.

    Google Scholar 

  • Dilling, A. A. (2002). Anwendung und Anwendbarkeit der Realoptionstheorie zur Bewertung von Forschungs- und Entwicklungsprojekten unter besonderer Be-rücksichtigung projektendogener Risiken. Diss. Univ. Göttingen.

    Google Scholar 

  • Dixit, A. K., & Pindyck, R. S. (1995). The options approach to capital investment. Harvard Business Review, 105–115.

    Google Scholar 

  • Franke, G., & Hax, H. (1999). Finanzwirtschaft und Kapitalmarkt. Heidelberg: Springer.

    Google Scholar 

  • Hommel, U., & Pritsch, G. (1999). Marktorientierte Investitionsbewertung mit dem Realoptionsansatz. Finanzmarkt- und Portfoliomanagement, 13(2), 121–144.

    Google Scholar 

  • Kilka, M. (1995). Realoptionen: Optionstheoretische Ansätze bei Investitionsentscheidungen unter Unsicherheit. Frankfurt a. M.: Fritz Knapp Verlag.

    Google Scholar 

  • Kirchler, E. M. (1999). Wirtschaftspsychologie. Göttingen: Hogrefe.

    Google Scholar 

  • Mostowfi, M. (2000). Bewertung von Unternehmensakquisitionen unter Berücksichtigung von Realoptionen. Frankfurt a. M.: Europäischer Verlag der Wissenschaft.

    Google Scholar 

  • Perridon, L., & Steiner, M. (1999). Finanzwirtschaft der Unternehmung. Mnchen: Vahlen.

    Google Scholar 

  • Pritsch, G. (2000). Realoptionen als Controlling-Instrument. Wiesbaden.

    Google Scholar 

  • Rese, A., & Baier, D. (2007). Deciding on new products using a computer-assisted real options approach. International Journal of Technology Intelligence and Planning, 3(3), 292–303.

    Article  Google Scholar 

  • Trigeorgis, L. (1996). Real options: Managerial flexibility and strategy in re-source allocation. Cambridge, MA: MIT Press.

    Google Scholar 

  • Zühlke, M. (2004). Verteilt organisierte Mehrteilnehmer-Videokonferenzen für geschlossene Gruppen im Internet. Diss. BTU Cottbus.

    Google Scholar 

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Correspondence to Said Esber .

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Esber, S., Baier, D. (2010). Monte Carlo Methods in the Assessment of New Products: A Comparison of Different Approaches. In: Locarek-Junge, H., Weihs, C. (eds) Classification as a Tool for Research. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10745-0_77

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