Article ID: | iaor19982581 |
Country: | South Korea |
Volume: | 22 |
Issue: | 3 |
Start Page Number: | 209 |
End Page Number: | 222 |
Publication Date: | Sep 1997 |
Journal: | Journal of the Korean ORMS Society |
Authors: | Kim Nam Young |
Keywords: | game theory |
In this paper, we study a bargaining order problem where one buyer sequentially bargains with two sellers whose reservation prices are unknown to the buyer but correlated. Our main question is who the buyer should bargain first with to maximize his expected payoff. This type of problem is widely applicable to business and political situations where one party negotiates with multiple parties sequentially. One of the most important elements in a sequential bargaining is ‘linkage effect’ which exists when the agreement of the previous bargaining affects the outcome of the following bargaining. To examine ‘linkage effect’, we assume that the sellers' objects are similar so that the sellers' reservation prices are correlated. In addition, to consider incomplete information aspect regarding reservation prices, it is assumed that the sellers' reservation prices are unknown to the buyer. That is, we deal with one sided incomplete information case. In our model, there are two stages in each of which the buyer meets one seller. Since we are concerned with the bargaining order, we consider two different bargaining orders. Using game theory, we find a perfect Bayesian equilibrium and compute the buyer's expected payoff for each bargaining order. Finally we identify the advantageous bargaining order for the buyer by comparing the expected payoffs obtained under two different bargaining orders. Our results are as follows: the advantageous bargaining order depends on the prior probability of the seller type. However, in general, the buyer should bargain first with the seller whose object is less valuable to the buyer. The basic reason for our result is that the buyer wants to experiment in the first stage to find out the sellers' reservation prices and in doing so, to minimize the experimental cost and maximize potential gain in case of negotiation failure in the first stage.