Correlational matrix, reliability and AVE (n = 335)
| Construct | AI-based stakeholder engagement | Marketing agility | Firm performance | Technology turbulence |
|---|---|---|---|---|
| AI-based stakeholder engagement | 0.840 | |||
| Marketing agility | 0.531** | 0.746 | ||
| Firm performance | 0.326** | 0.507** | 0.937 | |
| Technology turbulence | 0.486** | 0.450** | 0.256ns | 0.822 |
| Mean | 3.066 | 3.442 | 3.575 | 3.784 |
| Standard deviation | 0.966 | 0.817 | 0.960 | 0.846 |
| Composite reliability (rho_c) | 0.964 | 0.949 | 0.936 | 0.892 |
| Composite reliability (rho_a) | 0.959 | 0.944 | 0.874 | 0.862 |
| Cronbach’s alpha | 0.958 | 0.943 | 0.863 | 0.841 |
| AVE | 0.707 | 0.556 | 0.879 | 0.675 |
| Construct | AI-based stakeholder engagement | Marketing agility | Firm performance | Technology turbulence |
|---|---|---|---|---|
| AI-based stakeholder engagement | ||||
| Marketing agility | 0.531 | |||
| Firm performance | 0.326 | 0.507 | ||
| Technology turbulence | 0.486 | 0.450 | 0.256ns | |
| Mean | 3.066 | 3.442 | 3.575 | 3.784 |
| Standard deviation | 0.966 | 0.817 | 0.960 | 0.846 |
| Composite reliability (rho_c) | 0.964 | 0.949 | 0.936 | 0.892 |
| Composite reliability (rho_a) | 0.959 | 0.944 | 0.874 | 0.862 |
| Cronbach’s alpha | 0.958 | 0.943 | 0.863 | 0.841 |
| 0.707 | 0.556 | 0.879 | 0.675 |
Significance level = *p < 0.05; **p < 0.01; ns not significant; numbers in bold are square roots of AVEs
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