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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/21114

    Title: Bargaining strategy formulation with CRM for an e-commerce agent
    Authors: Chan, C. C. Henry;鄭啟斌;Cheng, Chi-bin;Hsu, Chih-hsiung
    Contributors: 淡江大學資訊管理學系
    Keywords: Electronic commerce;Bargaining;Customer relationship marketing;Software agent;Rule-based fuzzy inference system
    Date: 2007-02-01
    Issue Date: 2009-11-30 13:14:21 (UTC+8)
    Publisher: Elsevier
    Abstract: The growth of electronic commerce has created the need of automated bargaining agents for improving the efficiency of online transactions. From the perspective of customer relationship marketing (CRM), establishing and maintaining the best possible relationship with valuable customers is a good way to survive in the competitive global market. In order to retain valuable customers, high share customers ought to be treated differently from the low share customers in the bargaining process. In our research, we formulate strategies for a bargaining agent based on the CRM principle. Bargaining tactics are expressed as fuzzy rules that mimic a human bargainer’s knowledge and judgment in making decisions. Actions of the bargaining agent are determined by using approximate reasoning from the set of fuzzy rules. Our bargaining agent and three other bargaining agents found in the literature are employed in an experimental online store. Experimental results indicate that our bargaining agent is more efficient and creates greater customer satisfaction and customer loyalty than do the bargaining agents from the literature.
    Relation: Electronic Commerce Research and Applications 6(4) , pp490-498
    DOI: 10.1016/j.elerap.2007.02.011
    Appears in Collections:[資訊管理學系暨研究所] 期刊論文

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