| Construct | 1 | 2 | 3 | 4 |
|---|---|---|---|---|
| Clothing | ||||
| 1. C–CI | .814 | |||
| 2. CI | .734 | .943 | ||
| 3. IM | .725 | .873 | .947 | |
| 4. PI | .748 | .907 | .867 | .931 |
| Technology | ||||
| 1. C–CI | .901 | |||
| 2. CI | .759 | .859 | ||
| 3. IM | .569 | .707 | .874 | |
| 4. PI | .693 | .830 | .782 | .917 |
| Food | ||||
| 1. C–CI | 1.000 | |||
| 2. CI | .254 | .965 | ||
| 3. IM | .392 | .769 | .972 | |
| 4. PI | .221 | .971 | .797 | .951 |
Note: Off diagonals are bivariate correlations, italics diagonals are square root of corresponding AVE. C–CI = consumer–company identification; IM = inferred motive; PI = purchase intentions; CI = corporate image.