A Study on the Improvement Direction of Artificial Intelligence Speakers Applying DeLone and McLean’s Information System Success Model

Table 5

Endogenous variable-rotated component matrix^b.

Constructs	Measurement variable	Component			Cronbach’s α
		1	2	3
Use	Use1	.159	.800	.247	.687
	Use2	.002	.646	.385
	Use3	.308	.807	-.006
User’s satisfaction	UserSatis1	.920	.162	.229	.932
	UserSatis2	.926	.201	.144
Net profits	Benefit3	.339	.164	.783	.726
	Benefit4	.093	.218	.861
Rotation sums of squared loadings	Eigen value	1.948	1.852	1.638
	% of variance	27.824	26.451	23.396
	Cumulative %	27.824	54.275	77.671

Kaiser-Meyer-Olkin measure of sampling , approx. chi-, Bartlett’s test of sphericity degree of , . Extraction method: principal component analysis. Rotation method: varimax with Kaiser’s normalization. ^bRotation converged in 5 iterations.