The Study of Applying Data Mining Technique to the Logistics Service Failure Improvement of Online Shopping Convenience Stores Picking-up

• Main Authors: CHENG,LI-AN, 程立安
• Other Authors: LIN,LIE-CHIEN
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/9g79z6

碩士 === 國立高雄科技大學 === 運籌管理系 === 107 === The purpose of this study is to apply the data mining technique to the logistics service failure improvement of online shopping convenience stores. The case selected for study is a convenience store in Taiwan, and the following information is collected, including cargo tracking, customer service return appeal, and online shopping convenience stores picking-up. The purpose is to identify the key factors for the logistics service failure improvement of online shopping convenience stores. There are thirteen key factors are identified for C2C environment, and four key factors are found for B2C environment. The results will provide suggestions for service improvement, as well as to reduce customer complaints and negative comments.