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

Table 13

Coefficients for Y03^a.

Model		Unstandardized coefficients		Standardized coefficients		Sig.	Correlation			Collinearity statistics
			Std. error	Beta			Zero-order	Partial	Part	Tolerance	VIF
1	(Constant)	0.419	0.204		2.055	0.050
	X21	0.144	0.009	0.958	16.985	0.000	0.958	0.958	0.958	1.000	1.000
2	(Constant)	0.251	0.158		1.588	0.125
	X21	0.093	0.013	0.617	7.162	0.000	0.958	0.820	0.304	0.244	4.103
	X22	0.027	0.006	0.392	4.557	0.000	0.929	0.674	0.194	0.244	4.103
3	(Constant)	0.048	0.138		0.347	0.732
	X21	0.045	0.016	0.295	2.704	0.012	0.958	0.483	0.093	0.098	10.172
	X22	0.024	0.005	0.344	4.877	0.000	0.929	0.706	0.167	0.236	4.240
	X63	0.051	0.013	0.387	3.805	0.001	0.956	0.613	0.130	0.114	8.793

^aDependent variable: Y03, where model 1 is 0.917, model 2 is 0.955, and model 3 is 0.972; low VIF values indicate low collinearity; the standardized residuals are approximately normally distributed. X21: searching subject term “Apriori” in the WoS (Core Collection). X22: searching subject term “Apriori” in CNKI (periodical). X63: searching subject term “Mobile Technology & E-Commerce” in the WoS (Core Collection). Y03: proportion of e-commerce in total retail for U.S.