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

Table 14

Coefficients for Y12^a.

Model		Unstandardized coefficients		Standardized coefficients		Sig.	Correlation			Collinearity statistics
			Std. error	Beta			Zero-order	Partial	Part	Tolerance	VIF
1	(Constant)	6.201	2.251		2.755	0.011
	X57	0.702	0.195	0.577	3.604	0.001	0.577	0.577	0.577	1.000	1.000
2	(Constant)	2.223	1.406		1.581	0.126
	X57	2.041	0.215	1.678	9.498	0.000	0.577	0.885	0.876	0.273	3.667
	X33	-0.261	0.036	-1.290	-7.305	0.000	0.140	-0.825	-0.674	0.273	3.667
3	(Constant)	2.316	1.300		1.782	0.087
	X57	2.028	0.199	1.667	10.213	0.000	0.577	0.902	0.870	0.272	3.670
	X33	-0.331	0.045	-1.632	-7.401	0.000	0.140	-0.834	-0.631	0.149	6.698
	X55	0.846	0.367	0.402	2.303	0.030	0.230	0.425	0.196	0.238	4.196

^aDependent variable: Y12, where model 1 is 0.333, model 2 is 0.787, and model 3 is 0.826; model 3 indicates collinearity; the standardized residuals are approximately normally distributed. X33: searching subject term “Cloud” and “Big Data” in the WoS (Core Collection). X55: searching subject term “E-commerce & Big Data Analytics” in CNKI (periodical). X57: searching subject term “Online Consumer Behavior” classified by the field of “title” in the WoS (Core Collection). Y12: founded number of data companies in the U.S. classified as industrial application.