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    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/64928

    题名: Mining demand chain knowledge of life insurance market for new product development
    作者: Liao, Shu-Hsien;Chen, Ya-Ning;Tseng, Yu-Yia
    贡献者: 淡江大學經營決策學系
    关键词: Demand chain management;Life insurance market;New product development;Data mining;Consumer research
    日期: 2009-07
    上传时间: 2011-10-20 16:11:16 (UTC+8)
    出版者: Kidlington: Pergamon
    摘要: Demand chain management (DCM) can be defined as “extending the view of operations from a single business unit or a company to the whole chain. Essentially, demand chain management focuses not only on generating drawing power from customers to purchase merchandises on the supply chain; but also on exploring satisfaction, participation, and involvement from customers in order for enterprises to understand customer needs and wants. Thus, customers have changed their position in the demand chain to assume a leading role in bringing more benefit for enterprises. This article investigates what functionalities best fit the consumers’ needs and wants for life insurance products by extracting specific knowledge patterns and rules from consumers and their demand chain. By doing so, this paper uses the a priori algorithm and clustering analysis as methodologies for data mining. Knowledge extraction from data mining results is illustrated as market segments and demand chain analysis on life insurance market in Taiwan in order to propose suggestions and solutions to the insurance firms for new product development and marketing.
    關聯: Expert Systems with Applications 36(5), pp.9422-9437
    DOI: 10.1016/j.eswa.2008.12.053
    显示于类别:[管理科學學系暨研究所] 期刊論文


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