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Numerical Study

In: The Value of Information Updating in New Product Development

Author

Listed:
  • Christian Artmann

    (Immenstadt)

Abstract

The analysis of our information updating valuation model in the previous section allowed us to derive several properties in closed form, e.g., the impact of a pure mean or a pure variance update, the effect of the uncertainty reduction on the (expected) value of information, and the role of the updating point in time on the expected project value. Other aspects, like the impact of a simultaneous mean-variance update on the project value or threshold values for a change of the underlying cost structure, turned out to be case dependent and hence, eluded a closed form analysis. For those properties, we will therefore resort to a numerical study in this chapter in order to derive further insights about our information updating model. Our objective is hereby 1) to illustrate the derived properties by studying a real NPD project example, 2) to study the impact of a general (i.e., both mean and variance) update of the market requirement distribution on the project value, 3) to analyze the effect of the update on the optimal managerial policy, and 4) to study the impact of the underlying model parameters on the expected project value and expected value of information.

Suggested Citation

  • Christian Artmann, 2009. "Numerical Study," Lecture Notes in Economics and Mathematical Systems, in: The Value of Information Updating in New Product Development, chapter 5, pages 1-37, Springer.
  • Handle: RePEc:spr:lnechp:978-3-540-93833-0_5
    DOI: 10.1007/978-3-540-93833-0_5
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