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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/64925


    Title: Mining product maps for new product development
    Authors: 廖述賢;Liao, Shu-hsien;Hsieh, Chia-lin;Huang, Sui-ping
    Contributors: 淡江大學經營決策學系
    Keywords: New product development;Product map;Data mining;Association rules;Knowledge extraction
    Date: 2008-01
    Issue Date: 2011-10-20 16:11:02 (UTC+8)
    Publisher: Oxford: Pergamon
    Abstract: Many enterprises have been devoting a significant portion of their budget to new product development (NPD) in order to distinguish their products from those of their competitors, and to make them better fit the needs and wants of customers. Hence, businesses should develop products that fulfill the customer demands, since this will increase the enterprise's competitiveness and it is an essential criterion to earning higher loyalties and profits. This paper presents the product map obtained from data mining results, which investigates the relationships among customer demands, product characteristics, and transaction records, using the Apriori algorithm as a methodology of association rules for data mining. The product map shows that different knowledge patterns and rules can be extracted from customers to develop new cosmetic products and possible marketing solutions. Accordingly, this paper suggests that the cosmetics industry should extract customer knowledge from the demand side and use this as a knowledge resource on its supply chain for new product development. (c) 2006 Elsevier Ltd. All rights reserved.
    Relation: Expert Systems with Applications 34(1), pp.50-62
    DOI: 10.1016/j.eswa.2006.08.027
    Appears in Collections:[管理科學學系暨研究所] 期刊論文

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