Reducing buyer search costs: implications for electronic marketplaces
Management Science - Special issue: Frontier research on information systems and economics
An experimental analysis of multi-attribute auctions
Decision Support Systems
IJCAI '99 Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence
Dynamic Programming
Bargaining on an Internet Agent-based Market: Behavioral vs. Optimizing Agents
Electronic Commerce Research
Efficient agents for cliff-edge environments with a large set of decision options
AAMAS '06 Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems
Efficient bidding strategies for Cliff-Edge problems
Autonomous Agents and Multi-Agent Systems
Electronic Commerce Research
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As is the case with traditional markets, the sellers on the Internet do not usually know the demand functions of their customers. However, in such a digital environment, a seller can experiment different prices in order to maximize his profits. In this paper, we fit the dynamic pricing model of Rothschild (1974) to match the pricing problem of a Web-store. In this setting, we define the optimization problem of a Web-store and by simulations we study the price dynamics that can appear when all the sellers on a given market follow an optimal pricing policy.