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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/64928

    Title: Mining demand chain knowledge of life insurance market for new product development
    Authors: Liao, Shu-Hsien;Chen, Ya-Ning;Tseng, Yu-Yia
    Contributors: 淡江大學經營決策學系
    Keywords: Demand chain management;Life insurance market;New product development;Data mining;Consumer research
    Date: 2009-07
    Issue Date: 2011-10-20 16:11:16 (UTC+8)
    Publisher: Kidlington: Pergamon
    Abstract: 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.
    Relation: Expert Systems with Applications 36(5), pp.9422-9437
    DOI: 10.1016/j.eswa.2008.12.053
    Appears in Collections:[Department of Management Sciences] Journal Article

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