A chaotic model for advertising diffusion problem with competition

W. H. Ip, Kai Leung Yung, Dingwei Wang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

3 Citations (Scopus)

Abstract

In this article, the author extends Dawid and Feichtinger's chaotic advertising diffusion model into the duopoly case. A computer simulation system is used to test this enhanced model. Based on the analysis of simulation results, it is found that the best advertising strategy in duopoly is to increase the advertising investment to reach the best Win-Win situation where the oscillation of market portion will not occur. In order to effectively arrive at the best situation, we define a synthetic index and two thresholds. An estimation method for the parameters of the index and thresholds is proposed in this research. We can reach the Win-Win situation by simply selecting the control parameters to make the synthetic index close to the threshold of min-oscillation state. The numerical example and computational results indicated that the proposed chaotic model is useful to describe and analyse advertising diffusion process in duopoly, it is an efficient tool for the selection and optimisation of advertising strategy.
Original languageEnglish
Pages (from-to)1545-1554
Number of pages10
JournalInternational Journal of Systems Science
Volume43
Issue number8
DOIs
Publication statusPublished - 1 Aug 2012

Keywords

  • advertising diffusion
  • chaotic model
  • competition
  • control strategy
  • parameter estimation
  • simulation

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Theoretical Computer Science
  • Computer Science Applications

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