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Figure 2. Research Model Results
Source: Research team survey results, 2025
Table 2. Direct Hypothesis Testing Results

Original Sample Standard T
Direct Effect P-values Support
sample (O) mean (M) deviation statistics

Not
H1 PUSH → SWI 0.013 0.014 0.027 0.496 0.620
supported

H2 MOOR → SWI -0.513 -0.513 0.036 14.289 0.000 Supported

MOOR x PUSH → Not
H3 -0.015 -0.016 0.024 0.602 0.547
SWI supported

MOOR x PULL →
H4 -0.257 -0.258 0.022 11.514 0.000 Supported
SWI

H5 PULL → SWI 0.567 0.566 0.036 15.759 0.000 Supported
H6 PE → TR 0.372 0.371 0.047 7.862 0.000 Supported

H7 EE → TR 0.401 0.403 0.050 8.050 0.000 Supported

H8 TR → SWI 0.167 0.168 0.035 4.737 0.000 Supported
Source: Research team survey results, 2025
Push factors and the moderating effect of mooring factors on the impact of Push
factors on the Switching Intention to AI-assisted healthcare are not significant (p > 0.05),
leading to the rejection of H1 and H3.
Performance Expectancy and Effort Expectancy positively influence Trust in AI (p <
0.001), supporting H6 and H7.
Pull factors and Trust in AI have significant positive effects on Switching Intention (p

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