Table 3 Outcomes of the confirmatory factor analysis.

Construct		Item	Mean	Standard Deviation	Excess Kurtosis	Skewness	Cronbach’s alpha	λ	AVE	CR
Innovation Diffusion (ID)	Compatibility	CO1	2.99	1.593	−0.115	−1.581	0.870	0.753	0.577	0.871
		CO2	2.86	1.546	0.045	−1.492		0.822
		CO3	2.84	1.505	0.026	−1.456		0.807
		CO4	2.84	1.478	0.057	−1.397		0.736
		CO5	2.91	1.491	−0.006	−1.405		0.673
	Relative Advantage	RA1	3.00	1.733	0.022	−1.763	0.880	0.877	0.603	0.882
		RA2	2.99	1.760	0.033	−1.786		0.713
		RA3	3.02	1.713	0.005	−1.728		0.829
		RA4	3.00	1.672	−0.034	−1.665		0.791
		RA5	3.06	1.695	−0.081	−1.703		0.652
	Complexity	COM1	3.00	1.743	−0.085	−1.751	0.868	0.760	0.572	0.869
		COM2	2.80	1.691	0.090	−1.712		0.768
		COM3	3.00	1.678	−0.055	−1.666		0.768
		COM4	2.95	1.623	−0.021	−1.593		0.792
		COM5	2.98	1.611	−0.086	−1.577		0.69
Perceived Usefulness		PU1	3.03	1.374	−0.198	−1.246	0.926	0.811	0.718	0.927
		PU2	3.22	1.328	−0.167	−1.113		0.776
		PU3	2.94	1.559	−0.059	−1.594		0.880
		PU4	3.05	1.473	−0.011	−1.502		0.870
		PU5	3.05	1.499	0.018	−1.536		0.894
Perceived Ease of Use		PE1	3.01	1.396	−0.231	−1.287	0.932	0.907	0.736	0.933
		PE2	3.00	1.327	−0.157	−1.119		0.879
		PE3	3.07	1.590	0.012	−1.629		0.879
		PE4	2.82	1.434	−0.173	−1.535		0.779
		PE5	2.98	1.549	−0.083	−1.582		0.842
Flow Experience		FE1	2.88	1.464	0.013	−1.535	0.893	0.85	0.632	0.895
		FE2	3.10	1.530	−0.198	−1.503		0.711
		FE3	3.06	1.199	−0.185	−0.888		0.714
		FE4	3.12	1.262	−0.039	−1.020		0.841
		FE5	3.05	1.566	−0.004	−1.596		0.848
Intention to Use		WA1	2.95	1.684	0.095	−1.715	0.890	0.859	0.625	0.892
		WA2	2.99	1.506	−0.071	−1.460		0.687
		WA3	2.90	1.605	0.021	−1.640		0.86
		WA4	2.94	1.567	−0.098	−1.571		0.755
		WA5	2.87	1.442	−0.084	−1.436		0.778

Model fit indices: χ2/df = 1.078；NFI = 0.950； RFI = 0.946； CFI = 0.996；RMSEA = 0.012；SRMR = 0.030.

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