Table 4 Results of LR analysis
From: Modeling the prediction of business intelligence system effectiveness
Variables | Estimate | Standard error | Wald χ2 | p-values |
|---|---|---|---|---|
Constant | −38.482 | 11.501 | 11.196 | 0.001*** |
X 16 : support for service continuity and customer retention | 3.862 | 1.617 | 5.704 | 0.017** |
X 12 : promotion of the accumulation of business intelligence | 2.800 | 1.158 | 5.850 | 0.016** |
X 15 : support for new service development and customer acquisition | 2.759 | 1.208 | 5.219 | 0.022** |
X 1 : promotion of data availability | 2.477 | 1.120 | 4.892 | 0.027** |
Model fit properties | Omnibus test χ2 = 74.864, p-value = 0.000*** | |||
Hosmer–Lemeshow test χ2 = 6.777, p-value = 0.561 | ||||
Cox-Snell R 2=0.622 | ||||
Nagelkerke R 2=0.862 | ||||