運用混合式決策模式在個人化產品薦購之研究

• Main Author: 郭俊佑
• Other Authors: Heng Li, Yang
• Format: Others
• Language: zh-TW
• Published: 2003
• Online Access: http://ndltd.ncl.edu.tw/handle/96244737224664835130

碩士 === 國立政治大學 === 資訊管理研究所 === 91 === E-commerce, it’s a new business model from 90’s. On the social evolution track, from agriculture economy to manufacture economy, product and quality is the spotlight. With the coming of knowledge era, manufacturing is not just mass-productive, this era’s spotlight is the customer satisfaction. The evolution track had moved from manufacture economy to service-oriented economy. If sellers want to meet customers’ need, it should had some features, such as efficient, empower, dynamic, quick response, and so forth. Customers need tailor-made information to make the purchasing decision. However, nowadays internet stores cannot meet this need. This research will utilize data-mining, grey relation analysis, analysis hierarchy process and grey perdition to draw up tailor-made marketing strategies, generating objective product ranking and tailor-mage product ranking, and predict customers’ preference trend.