A Dynamic and Adaptive Bargaining Algorithm for Intelligent Selling Agents in Electronic Commerce
نویسنده
چکیده
Prior research has found that customers prefer retailing websites that offer online bargaining service. Online bargaining indeed is an attractive field in today’s e-commerce. However, as compared to online auction, it has been much underdeveloped. A few online bargaining systems have been proposed but their bargaining strategies do not react to the change of market situation. In a typical bargaining process, there is an information asymmetry between the seller side and the buyer side, which could benefit the seller side if the seller side adopted a dynamic price change strategy during a bargaining process. This paper investigates the market behavior and the benefits to the sellers under a dynamic price change strategy based on the real-time market bargaining information.
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ورودعنوان ژورنال:
- Int. J. Comput. Syst. Signal
دوره 5 شماره
صفحات -
تاریخ انتشار 2004