Table 5 Regression of Big data analytics on organization performance through knowledge management (steps according to Baron and Kenny [126])
Unstandardized coefficients | Standardized coefficients | |||||
|---|---|---|---|---|---|---|
Step dependent/independent variables | B | Standard error | Beta | t | Significance level | Durbin Watson |
Step 1. Dependent variable: organization performance | ||||||
 (Total effect)  Big data analytics | .856 | .08 | .587 | 10.446 | .000 | 1.744 |
 R = .587, R2 = .344, F(1, 208) = 109.127 | ||||||
Step 2. Dependent variable: knowledge management | ||||||
 Big data analytics | 1.019 | .067 | .726 | 15.215 | .000 | 1.506 |
 R = .726, R2 = .527, F(1, 208) = 231.492 | ||||||
Step 3. Dependent variable: organization performance | ||||||
 Knowledge management | .769 | .048 | .740 | 15.884 | .000 | 2.243 |
 R = .740, R2 = .548, F(1, 208) = 252.289 | ||||||
Step 4. Dependent variable: organization performance | ||||||
 (Direct effect)  Big data analytics | .152 | .098 | .104 | 1.543 | .124 | 2.229 |
 R = .744, R2 = .553, F(2, 197) = 128.171 | ||||||