期刊論文
| 學年 | 97 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2009-07-01 |
| 作品名稱 | Mining demand chain knowledge of life insurance market for new product development |
| 作品名稱（其他語言） | |
| 著者 | Liao, Shu-Hsien; Chen, Ya-Ning; Tseng, Yu-Yia |
| 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 36(5), pp.9422-9437 |
| 摘要 | 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. |
| 關鍵字 | Demand chain management;Life insurance market;New product development;Data mining;Consumer research |
| 語言 | en |
| ISSN | 0957-4174 |
| 期刊性質 | 國外 |
| 收錄於 | SCI EI 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/987654321/64928 ) |