The Influence of Big Data Analytics on E-Commerce: Case Study of the U.S. and China

Table 18

Regression models for China’s theoretical research and practical activities in e-commerce.

Dependent variable	Independent variable					Statistics
	X04	X12	X64	X68	X70
Y05	1.153				-0.221	, both , the standardized residuals are approximately normally distributed
Y06	0.451	-0.343		0.695		, the standardized residuals are approximately normally distributed
Y07	1.497		-0.669			, both , the standardized residuals are approximately normally distributed

, , and ; low VIF values indicate low collinearity; all coefficients are standardized coefficients. X04: searching subject term “E-Commerce” in CNKI (periodical). X12: searching subject term “Business Intelligence Analytics” in CNKI (periodical). X64: searching subject term “Mobile Technology & E-Commerce” in CNKI (periodical). X68: searching subject term “Artificial Intelligence & Big Data & E-Commerce” in CNKI (periodical). X70: searching subject term “Quantum Computing” in CNKI (periodical). Y05: total retail sales for China. Y06: retail e-commerce sales for China. Y07: proportion of e-commerce in total retail for China.