期刊論文
| 學年 | 97 |
|---|---|
| 學期 | 2 |
| 出版（發表）日期 | 2009-03-01 |
| 作品名稱 | Mining demand chain knowledge for new product development and marketing |
| 作品名稱（其他語言） | |
| 著者 | 廖述賢; Liao, Shu-hsien; Wen, Chih-hao |
| 單位 | 淡江大學經營決策學系 |
| 出版者 | Institute of Electrical and Electronics Engineers (IEEE) |
| 著錄名稱、卷期、頁數 | IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 39(2), pp.223-227 |
| 摘要 | Many enterprises devote a significant portion of their budget to new product development (NPD) and marketing to make their products distinctive from those of competitors, and better fit the needs and wants of consumers. Hence, knowledge and feedback on customer demand and consumption experience has become an important information and asset for enterprises. This paper investigates the following research issues in a world leading bicycle brand/manufacture company, GIANT of Taiwan: what exactly are the customerspsila ldquofunctional needsrdquo and ldquowantsrdquo for bicycles? Does knowledge of the customers and the product itself reflect the needs of the market? Can product design and planning for production lines be integrated with the knowledge of customers and market channels? Can the knowledge of customers and market channels be transformed into knowledge assets of the enterprises during the stage of NPD? The a priori algorithm is a methodology of association rule for data mining, which is implemented for mining demand chain knowledge from channels (sales and maintenance) and customers. Knowledge extraction from data mining results is illustrated as knowledge patterns and rules in order to propose suggestions and solutions to the case firm for NPD and marketing. |
| 關鍵字 | |
| 語言 | en |
| ISSN | 1094-6977 |
| 期刊性質 | 國外 |
| 收錄於 | |
| 產學合作 | |
| 通訊作者 | |
| 審稿制度 | 否 |
| 國別 | USA |
| 公開徵稿 | |
| 出版型式 | ,電子版 |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/50408 ) |