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

Table 12

Coefficients for Y02^a.

Model		Unstandardized coefficients		Standardized coefficients		Sig.	Correlation			Collinearity statistics
			Std. error	Beta			Zero-order	Partial	Part	Tolerance	VIF
1	(Constant)	-20.263	25.362		-0.799	0.432
	X02	0.616	0.091	0.797	6.729	0.000	0.797	0.797	0.797	1.000	1.000
2	(Constant)	-0.255	17.475		-0.015	0.988
	X02	0.410	0.072	0.530	5.714	0.000	0.797	0.753	0.457	0.742	1.347
	X07	19.772	3.490	0.526	5.665	0.000	0.795	0.750	0.453	0.742	1.347

^aDependent variable: Y02, where model 1 is 0.635 and model 2 is 0.840; low VIF values indicate low collinearity; the standardized residuals are approximately normally distributed. X02: searching subject term “E-Commerce” in the WoS (Core Collection). X07: searching subject term “E-Commerce” and then “Big data” in the WoS (Core Collection). Y02: retail e-commerce sales.