Measurement model assessment: reliability and validity indicators
| Construct | Cronbach’s alpha | Composite reliability (CR) | Average variance extracted (AVE) |
|---|---|---|---|
| Reference values (Hair et al., 2019) | >=0,708 | >=0,7 | >= 0,50 |
| Enterprise risk management (ERM) | 0,836 | 0,846 | 0,606 |
| Dispersed knowledge management (DKM) | 0,807 | 0,808 | 0,726 |
| Green strategy (GS) | 0,876 | 0,890 | 0,672 |
| Green practices (GP) | 0,892 | 0,894 | 0,609 |
| Firm performance (P) | 0,777 | 0,780 | 0,599 |
| Construct | Cronbach’s alpha | Composite reliability ( | Average variance extracted ( |
|---|---|---|---|
| Enterprise risk management ( | 0,836 | 0,846 | 0,606 |
| Dispersed knowledge management ( | 0,807 | 0,808 | 0,726 |
| Green strategy ( | 0,876 | 0,890 | 0,672 |
| Green practices ( | 0,892 | 0,894 | 0,609 |
| Firm performance (P) | 0,777 | 0,780 | 0,599 |
Minor differences in Cronbach’s alpha between the initial (Table 2) and model-estimated (Table 3) values are normal in PLS-SEM, as item–construct relationships are reestimated. This does not affect reliability as long as CR and rho_A meet recommended thresholds
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