教師資料查詢 | 類別: 期刊論文 | 教師: 廖述賢 LIAO SHU-HSIEN (瀏覽個人網頁)

標題:Mining customer knowledge for tourism new product development and customer relationship management
學年98
學期2
出版(發表)日期2010/06/01
作品名稱Mining customer knowledge for tourism new product development and customer relationship management
作品名稱(其他語言)
著者Liao, Shu-hsien; Chen, Yin-ju; Deng, Min-yi
單位淡江大學經營決策學系
出版者Kidlington: Pergamon
著錄名稱、卷期、頁數Expert Systems with Applications 37(6), pp.4212-4223
摘要In recent years tourism has become one of the fastest growing sectors of the world economy and is widely recognized for its contribution to regional and national economic development. Tourism product design and development have become important activities in many areas/countries as a growing source of foreign and domestic earnings. On the other hand, customer relationship management is a competitive strategy that businesses need in order to stay focused on the needs of their customers and to integrate a customer-oriented approach throughout the organization. Thus, this paper uses the Apriori algorithm as a methodology for association rules and clustering analysis for data mining, which is implemented for mining customer knowledge from the case firm, Phoenix Tours International, in Taiwan. Knowledge extraction from data mining results is illustrated as knowledge patterns, rules, and knowledge maps in order to propose suggestions and solutions to the case firm for new product development and customer relationship management.
關鍵字Tourism management; New product development; Data mining; Customer relationship management; Apriori algorithm; Clustering analysis; Knowledge map
語言英文
ISSN0957-4174
期刊性質國外
收錄於SCI;SSCI
產學合作
通訊作者Liao, Shu-hsien
審稿制度
國別英國
公開徵稿
出版型式紙本
相關連結
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