Abstract
This paper is about using intelligent agent technology to facilitate the C2B (Consumer-to-Business) business model on internet. The benefits of C2B, a collective purchasing model, are obvious, but there are some unresolved problems that obstruct the growth of this model. For examples, how to collective individual's preferences and aggregate to be group's preferences? What is the mechanism to interact with each other in the virtual group, and how is the negotiation mechanism between the group and sellers? In order to resolve these difficulties, we have proposed a multi-agent framework to support the C2B model in EC (Electronic Commerce), and a new algorithm - adaptive-AHP has been designed in it. Finally, we have implemented a prototype system for travel agency to show how the adaptive-AHP is used in the multi-agent systems.
Recommended Citation
Chen, Deng-Neng; Chuang, Cheng-Hung; and Jeng, Bing-Chiang, "An Adaptive-AHP Multi-Agent Framework that Supports Collective Purchasing in Electronic Commerce" (2002). PACIS 2002 Proceedings. 22.
https://aisel.aisnet.org/pacis2002/22