Table 3.
Discriminant validities for the study variables.
| AVE | CR | EE | AI exp | CE | EI | CL | Marker | |
|---|---|---|---|---|---|---|---|---|
| EE | .85 | .96 | .96 | |||||
| AI exp | .92 | .98 | .57* | .92 | ||||
| CE | .89 | .98 | .42* | .55* | .94 | |||
| EI | .85 | .96 | .68* | .39* | .27* | .82 | ||
| CL | .85 | .96 | .62* | .69* | .75* | .41* | .82 | |
| Marker | .82 | .93 | .05 | .09 | .02 | .04 | .08 | .90 |
Note: AVE: average variance extracted; CR: composite reliability; Diagonal elements are the square root values of AVEs; Off-diagonal elements are the correlations among constructs. The correlation values between variables with the inclusion of the marker variable are same as those without the marker variable; *p < .05.
EE = employee experience, AI exp = AI experience, CE = customer engagement, EI = emotional intelligence, CL = customer loyalty.