The development of information technology changes people's consumption patterns, more and more people are starting to accept online shopping, because E-commerce platform has the advantages of convenience, low price and security. In this paper, the author analyze how e-commerce application will effect on small and medium enterprises, by using the data mining method, result shows that e-commerce platform has significant performance in increasing customer and enhancing the brand awareness, more than 77.67% companies agree that application of e-commerce platform can immediately increase orders. The result of factor analysis shows that information quality and service quality is the key factors that will influence the network platform. Therefore, enterprises should strengthen the application of electronic commerce, at the same time; they should also pay attention to the quality of their own network platform.
목차
Abstract 1. Introduction 2. Literature Review 2.1. E-commerce in SMEs 2.2. The Influence of E-Commerce on the Enterprise Competitiveness 3. Model Design and Variable 3.1. Data Mining 3.2. Model Design 3.3. Index Analysis 4. Empirical Analysis 4.1. Questionnaire Survey 4.2. Reliability Analysis 4.3. Exploratory Factor Analysis 4.3. Confirmatory Factor Analysis 5. Conclusion References
키워드
Data MiningElectronic commerceSMEsinformation quality
저자
Yan HaiBo [ Academic Affairs Department, North China University of science and technology, Tangshan, Hebei, China ]
Li Juan [ YiSheng College, North China University of science and technology, Tangshan, Hebei, China ]
Liu Jie [ Retire Work Department, North China University of science and technology, Tangshan, Hebei, China ]
보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Database Theory and Application
간기
격월간
pISSN
2005-4270
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application Vol.9 No.11