Table 11 Multi-Group analysis by occupation
From: How generative AI shapes user perceived value and adoption intention in digital museum experiences
Paths | Non-professional User (n = 407) | Professional User (n = 319) | P (Difference) | Results | ||
|---|---|---|---|---|---|---|
β | P | β | P | |||
SR → PV | 0.128 | 0.059 | 0.070 | 0.348 | 0.565 | No |
CA → PV | 0.178 | 0.008 | 0.066 | 0.427 | 0.292 | No |
PU → PV | 0.071 | 0.282 | 0.162 | 0.041 | 0.371 | No |
PE → PV | 0.153 | 0.040 | 0.042 | 0.649 | 0.352 | No |
PN → PV | 0.029 | 0.691 | 0.296 | 0.000 | 0.011 | Significant |
RA → PV | 0.089 | 0.115 | 0.105 | 0.122 | 0.856 | No |
SP → PV | -0.034 | 0.609 | 0.089 | 0.273 | 0.239 | No |
HC → PV | -0.036 | 0.547 | -0.007 | 0.933 | 0.783 | No |
CO → PV | -0.123 | 0.056 | -0.108 | 0.155 | 0.881 | No |
PR → PV | -0.158 | 0.003 | 0.044 | 0.534 | 0.022 | Significant |
PV → AI | 0.866 | 0.000 | 0.862 | 0.000 | 0.941 | No |
PI → AI | 0.123 | 0.022 | 0.190 | 0.000 | 0.371 | No |
IN → AI | -0.816 | 0.000 | -0.811 | 0.000 | 0.956 | No |
IN x PV → AI | 0.386 | 0.000 | 0.288 | 0.000 | 0.214 | No |
PI x PV → AI | 0.478 | 0.000 | 0.445 | 0.000 | 0.620 | No |
