• DocumentCode
    3625037
  • Title

    An Evolutionary Model of Brand Competition

  • Author

    Abhijit Sengupta;Danica Vukadinovic Greetham;Michael Spence

  • Author_Institution
    Mathematical and Psychological Sciences, Unilever Corporate Research, Colworth Park, Sharnbrook, MK441LQ, UK. Email: Abhijit.Sengupta@unilever.com
  • fYear
    2007
  • fDate
    4/1/2007 12:00:00 AM
  • Firstpage
    100
  • Lastpage
    107
  • Abstract
    We study the evolutionary dynamics of brand competition in a market where two firms are competing against each other. A brand´s strategy at each period could be either to innovate on its own or to copy the rival or maintain the same position as before. Consumers are heterogenous, they interact with each other, and under bounded rationality choose one of the products every period, based on their characteristics and price. A multi-agent simulation has been designed under three specifications - no network, a random network and a 2-level network. The cases of no networks, random networks and 2-level networks of different densities give very different results in terms of attainment of equilibrium. Moreover, convergence is always more frequent and faster in case of dense 2-level networks and in the case of sparse random networks. It was also noticed that a skew in the distribution of consumers in the characteristics space leads to more variation in equilibrium values as well as in the likelihood of convergence
  • Keywords
    "Convergence","Mathematical model","Psychology","Investments","Buildings","Game theory","Communication industry","Computer industry","Electronics industry","Pharmaceuticals"
  • Publisher
    ieee
  • Conference_Titel
    Artificial Life, 2007. ALIFE ´07. IEEE Symposium on
  • ISSN
    2160-6374
  • Print_ISBN
    1-4244-0701-X
  • Electronic_ISBN
    2160-6382
  • Type

    conf

  • DOI
    10.1109/ALIFE.2007.367784
  • Filename
    4218874