An agent-based model for consumer-to-business electronic commerce

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Electronic commerce has changed the outlook of traditional business trading behavior. It is now common to see business-to-business (B2B), business-to-consumer (B2C) and consumer-to-consumer (C2C) commerce on the Internet. However, another type of model, consumer-to-business (C2B), is seldom found. A possible reason for this phenomenon is transaction cost; to unite a group of candidate buyers’ common needs and preferences to buy a product or service is uneasy. Difficulties arise, for example, in how to synthesize individual’s preferences into a group’s consensus, how to communicate with each other within the group, and how to collectively negotiate with a seller, etc. To establish a successful business model in the electronic market, however, these processes have to be implemented. We address these issues in this paper, and propose a Buyer Collective Purchasing (BCP) model implemented in a multi-agent framework. A prototype system, which uses a laptop computer purchasing case as an example, is created to demonstrate the idea and show how the model works.

论文关键词:Electronic commerce,Intelligent agent,Consumer-to-business model,Group decision making,Negotiation

论文评审过程:Available online 11 October 2006.

论文官网地址:https://doi.org/10.1016/j.eswa.2006.09.020