Apply Intelligent Agent into Consumer-to-Business E-commerce Preference Synthesis

碩士 === 國立彰化師範大學 === 資訊管理學系所 === 98 === 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, consume...

Full description

Bibliographic Details
Main Author: 張存賢
Other Authors: 梁文耀
Format: Others
Language:en_US
Published: 2010
Online Access:http://ndltd.ncl.edu.tw/handle/18841795217645442779
Description
Summary:碩士 === 國立彰化師範大學 === 資訊管理學系所 === 98 === 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 synthesize 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. By now, there is no any systemic approach can satisfy most buyers’ needs. Beside, intelligent agents can deal with many works that people often need to spend much time and can automatically adjust the preferences synthesis. In this paper, a multi-agent framework is proposed to synthesize the buyers’ preferences and to meet with buyers’ needs. To establish a successful business model in the electronic market, however, these processes have to be implemented. Therefore, a notebook purchasing example is created to demonstrate the approach and validate the process.