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Part of the book series: International Series in Quantitative Marketing ((ISQM,volume 13))

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Abstract

In this chapter, we analyze the Vidale-Wolfe model version introduced in chapter 2. We assume the objectives

$$\begin{array}{*{20}{c}} {\mathop{{\max }}\limits_{{{{A}_{1}}}} \int\limits_{0}^{\infty } {{{e}^{{ - rt}}}\left( {{{h}_{1}}\frac{{{{\gamma }_{1}}}}{{{{\gamma }_{1}} + {{\gamma }_{2}}}}S - {{A}_{1}}} \right)} dt} \hfill \\ {\mathop{{\max }}\limits_{{{{A}_{2}}}} \int\limits_{0}^{\infty } {{{e}^{{ - rt}}}\left( {{{h}_{2}}\frac{{{{\gamma }_{2}}}}{{{{\gamma }_{1}} + {{\gamma }_{2}}}}S - {{A}_{2}}} \right)} dt} \hfill \\ \end{array}$$
(4.1)

and that total industry sales level S is subject to the dynamic constraint

$$\dot{S} = \left( {{{\beta }_{1}}A_{1}^{{{{\alpha }_{1}}}} + {{\beta }_{2}}A_{2}^{{{{\alpha }_{2}}}}} \right)\left( {N - S} \right) - \delta S$$
(1)

In the Vidale-Wolfe model we analyze, each competitor’s advertising is used to attract industry sales S, which are divided between the two competitors according to brand-strength parameters γ1, γ2. The industry sales level changes dynamically according to (4.2). The maximum sales level is N, and the difference between the maximum and current sales levels is attractable through advertising. In addition to the buildup in sales through advertising, there is a decay at the rate of δ times the current level of sales. The parameters h 1, h 2, are the unit contributions of the two competitors, and r is the common discount rate.

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© 2003 Springer Science+Business Media New York

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Erickson, G.M. (2003). Analysis of a Vidale-Wolfe Duopoly. In: Dynamic Models of Advertising Competition. International Series in Quantitative Marketing, vol 13. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-1031-4_4

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  • DOI: https://doi.org/10.1007/978-1-4615-1031-4_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-5360-7

  • Online ISBN: 978-1-4615-1031-4

  • eBook Packages: Springer Book Archive

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