Forming Buyer Coalitions with Bundles of Items
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Towards a Customizable Platform for Simulation of Group Buying Markets
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 03
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Buyer coalitions with bundles of items by using genetic algorithm
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Buyer coalitions on JADE platform
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Forming buyer coalition scheme with connection of a coalition leader
Journal of Theoretical and Applied Electronic Commerce Research
Matching models for preference-sensitive group purchasing
Proceedings of the 13th ACM Conference on Electronic Commerce
Information Systems Frontiers
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Volume discount is seen as an effective form of electronic commerce and a promising field for applying agent technologies. In current volume discount mechanisms, items are not allocated efficiently to buyers. Namely, social surplus is not maximum in existing volume discount schemes. To solve this problem, we propose a volume discount mechanism based on the sellerýs reservation price and the payment adjustment value. First, a seller registers his/her items with the evaluation value functions. The sellerýs evaluation value is sealed and each buyer bids his/her evaluation value as sealed bid. After the deadline, the mechanism determines the allocation of bundles of items. A tentative price is decided and the payment adjustment value is calculated. Finally, the payment amount is calculated. Our mechanism has some key advantages. First, the mechanism is Pareto efficienct. Second, our mechanism is a strategy-proof mechanism, that is, it has the incentive compatibility. Third, our mechanism provides individual rationality. Fourth, our mechanism is made based on the volume discount system, where the seller can give a signal indicating a discount for buyers. Finally, our mechanism weakens the influence of false name bids.