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 en
ISSN 0957-4174
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 GBR
公開徵稿
出版型式 紙本
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/64931 )

機構典藏連結
SDGS 產業創新與基礎設施