438
Views
5
CrossRef citations to date
0
Altmetric
Original Articles

Non-cooperative game of a duopoly under asymmetric information on consumer location

Pages 5185-5201 | Received 27 Nov 2015, Accepted 26 Dec 2016, Published online: 09 Jan 2017
 

Abstract

We consider a single inventoried product that is sold by two competing firms (i.e. a duopoly). The two firms are located at both endpoints of a straight line. We assume the firms are unequal in their access to information on consumer locations, that is, only one of the two firms has full information about consumer location. By modelling the profit maximisation problem as a non-cooperative game, we obtain the best response function of the firm who does not have access to accurate consumer information. We show that this response function is translated into a unique, global solution. Through an extensive numerical example, we conclude that asymmetric information on consumer location has a significant effect on the profit gap between the competing firms and on the market share that each firm is able to attract. We conclude that when one firm inaccurately estimates consumer information about location, this can cause a significant deterioration in the profits of both firms and the consumers are the ones who gain from this information asymmetry. This conclusion encourages information sharing with the uninformed firm. Surprisingly, it also emerges from our computation that the higher the travelling costs the higher profits both firms obtain.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 973.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.