Earticle

초록

영어

In the network environment, supply chain management has greatly reduced the product development cycle, reduce the inventory. With the continuous development of information technology, e-commerce logistics platform has become the main factor affecting the development of logistics industry. In this paper, the authors research on the E-commerce platform performance and green supply chain based on data mining and SVM. The green supply chain considers the environmental problems in every link of the supply chain, and promotes the coordinated development of economy and environment. The result shows that the most critical factor that affects the satisfaction of consumer to B2C e-commerce platform is the accurate, complete and reliable logistics service.

목차

Abstract
 1. Introduction
 2. SVM algorithm and Data Mining
  2.1. Support Vector Machine
  2.2. Data Mining
 3. Electronic Commerce Platform and Green Supply Chain Management
  3.1. Electronic Commerce Platform
  3.2. Green Supply Chain Management
 4. Empirical Analysis
  4.1. Questionnaire Design
  4.2. Reliability Analysis
  4.3. Multiple Regression Analysis
 5. Conclusions
 References

키워드

저자

• Ying Xu [ Business School, Sias International University, Xinzheng City, China ]
• Xuemei Zhang [ Business School, Sias International University, Xinzheng City, China ]
• Hong Zhang [ Department of Economics and Management, Changsha University, Changsha City, China ] Corresponding Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605