Title :
Investigation of primary components analysis in influential factors of E-Commerce development
Author :
Shi Sanyuan ; Wang Xiaoli
Author_Institution :
Sch. of Civil Eng., Hebei Univ. of Eng., Handan, China
Abstract :
According to mathematical analysis, the primary components analysis (PCA) is used to analyze the effect of influential factors and characteristics on e-commerce development. On the basis of PCA model and the scores by the experts, some results are computed. From case study, it can be seen that some factors and characteristics play very important role in influencing e-commerce development and all the factors and characteristics should be taken into account because the effect depends on the whole interaction. Through analysis and discussion, it is concluded that, under the premise of minimizing the information loss of data, the application of PCA in analyzing effect on e-commerce development approved to be practicable.
Keywords :
Internet; electronic commerce; matrix algebra; minimisation; vectors; Internet; data matrix vector; e-commerce development; information loss minimization; mathematical analysis; primary component analysis; Business; Consumer electronics; Electronic commerce; Government; Information analysis; Investments; Law; Legal factors; Logistics; Principal component analysis; E-Commerce; PCA; influential factors; mathematical model;
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
DOI :
10.1109/CCCM.2009.5267453