Chia Nan University of Pharmacy & Science Institutional Repository:Item 310902800/22167
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 18034/20233 (89%)
Visitors : 23736958      Online Users : 751
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://ir.cnu.edu.tw/handle/310902800/22167


    Title: An agent-based model for consumer-to-business electronic commerce
    Authors: Deng-Neng Chen
    B. Jeng
    Wei-Po Lee
    Cheng-Hung Chuang
    Contributors: 資訊管理系
    Keywords: Electronic commerce
    Intelligent agent
    Consumer-to-business model
    Group decision making
    Negotiation
    Date: 2008-01
    Issue Date: 2010-01-11 11:12:34 (UTC+8)
    Abstract: 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.
    Relation: Expert Systems with Applications 34(1) : p.469-481
    Appears in Collections:[Dept. of Information Management] Periodical Articles

    Files in This Item:

    File SizeFormat
    0KbUnknown2994View/Open


    All items in CNU IR are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback