Mining product maps for new product development
學年 96
學期 1
出版（發表）日期 2008-01-01
作品名稱 Mining product maps for new product development
作品名稱（其他語言）
著者 廖述賢; Liao, Shu-hsien; Hsieh, Chia-lin; Huang, Sui-ping
單位 淡江大學經營決策學系
出版者 Oxford: Pergamon
著錄名稱、卷期、頁數 Expert Systems with Applications 34(1), pp.50-62
摘要 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.
關鍵字 New product development; Product map; Data mining; Association rules; Knowledge extraction
語言 en
ISSN 0957-4174
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者
審稿制度
國別 GBR
公開徵稿
出版型式
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/64925 )

機構典藏連結
SDGS 產業創新與基礎設施