A Study on the Improvement Direction of Artificial Intelligence Speakers Applying DeLone and McLean’s Information System Success Model
Table 4
Exogenous variable-rotated component matrixa.
Constructs
Measurement Variable
Component
Cronbach’s α
1
2
3
4
Information quality
InfoQ1
-.009
.180
.232
.855
.648
InfoQ3
.423
.442
.153
.463
InfoQ5
.362
-.040
.436
.533
System quality
SysQ2
.185
.264
.847
.172
.881
SysQ3
.349
.243
.823
.202
SysQ4
.182
.324
.687
.268
Service quality
SerQ1
.211
.869
.203
.133
.922
SerQ2
.186
.852
.303
.096
SerQ3
.281
.850
.185
.092
Perceived playfulness
Hedonic2
.850
.206
.149
.106
.866
Hedonic3
.688
.290
.346
.049
Hedonic4
.812
.205
.291
-.068
Hedonic5
.754
.166
.089
.256
Rotation sums of squared loadings
Eigen value
3.081
2.862
2.536
1.491
% of variance
23.699
22.013
19.511
11.466
Cumulative %
23.699
45.712
65.223
76.690
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. aRotation converged in 5 iterations.
