Interconnectedness of AI technologies in the management of enterprises and eco-innovation (Hypothesis 4)
| Size | Coef | OLS | OLS HC0 | SLX | SAR |
|---|---|---|---|---|---|
| Small | (Intercept) | 102.285 [7.761] <0.001 | 102.285 [6.355] <0.001 | 115.758 [19.141] <0.001 | 118.301 [39.018] 0.002 |
| AI_man_S | 7.803 [4.064] 0.067 | 7.803 [2.979] 0.015 | 6.975 [4.237] 0.113 | 8.176 [3.894] 0.036 | |
| lag.AI_man_S | – | – | −10.650 [13.808] 0.448 | – | |
| rho | – | – | – | −0.152 [0.343] 0.656 | |
| R2 Adj. | 0.133/0.097 | – | 0.155/0.082 | – | |
| Shapiro–Wilk | W = 0.94282, p-value = 0.1568 | ||||
| Breusch–Pagan | BP = 0.088403, df = 1, p-value = 0.7662 | ||||
| Moran I | Moran I = 0.16845, p-value = 0.4331 | ||||
| Medium | (Intercept) | 99.074 [7.363] <0.001 | 99.074 [6.279] <0.001 | 89.535 [26.704] 0.003 | 104.782 [37.844] 0.006 |
| AI_man_M | 4.272 [1.794] 0.025 | 4.272 [0.918] <0.001 | 4.460 [1.894] 0.027 | 4.314 [1.726] 0.012 | |
| lag.AI_man_M | – | – | 4.311 [11.583] 0.713 | – | |
| rho | – | – | – | −0.056 [0.343] 0.871 | |
| R2 Adj. | 0.185/0.152 | 0.190/0.122 | |||
| Shapiro–Wilk | W = 0.94775, p-value = 0.189 | ||||
| Breusch–Pagan | BP = 0.084991, df = 1, p-value = 0.7706 | ||||
| Moran I | Moran I = 0.16763, p-value = 0.4334 | ||||
| Large | (Intercept) | 94.851 [7.677] <0.001 | 94.851 [6.535] <0.001 | 61.987 [27.524] 0.034 | 100.775 [37.511] 0.007 |
| AI_man_L | 2.658 [0.932] 0.009 | 2.658 [0.741] 0.001 | 2.895 [0.941] 0.005 | 2.679 [0.896] 0.003 | |
| lag.AI_man_L | – | – | 6.732 [5.419] 0.226 | – | |
| rho | – | – | −0.058 [0.341] 0.865 | ||
| R2 Adj. | 0.246/0.215 | – | 0.291/0.232 | – | |
| Shapiro–Wilk | W = 0.94908, p-value = 0.2037 | ||||
| Breusch–Pagan | BP = 0.048472, df = 1, p-value = 0.8257 | ||||
| Moran I | Moran I = −0.032911, p-value = 0.5131 | ||||
| Size | Coef | OLS | OLS HC0 | SLX | SAR |
|---|---|---|---|---|---|
| Small | (Intercept) | 102.285 [7.761] <0.001 | 102.285 [6.355] <0.001 | 115.758 [19.141] <0.001 | 118.301 [39.018] 0.002 |
| AI_man_S | 7.803 [4.064] 0.067 | 7.803 [2.979] 0.015 | 6.975 [4.237] 0.113 | 8.176 [3.894] 0.036 | |
| lag.AI_man_S | – | – | −10.650 [13.808] 0.448 | – | |
| rho | – | – | – | −0.152 [0.343] 0.656 | |
| 0.133/0.097 | – | 0.155/0.082 | – | ||
| Shapiro–Wilk | W = 0.94282, | ||||
| Breusch–Pagan | BP = 0.088403, df = 1, | ||||
| Moran I | Moran I = 0.16845, | ||||
| Medium | (Intercept) | 99.074 [7.363] <0.001 | 99.074 [6.279] <0.001 | 89.535 [26.704] 0.003 | 104.782 [37.844] 0.006 |
| AI_man_M | 4.272 [1.794] 0.025 | 4.272 [0.918] <0.001 | 4.460 [1.894] 0.027 | 4.314 [1.726] 0.012 | |
| lag.AI_man_M | – | – | 4.311 [11.583] 0.713 | – | |
| rho | – | – | – | −0.056 [0.343] 0.871 | |
| 0.185/0.152 | 0.190/0.122 | ||||
| Shapiro–Wilk | W = 0.94775, | ||||
| Breusch–Pagan | BP = 0.084991, df = 1, | ||||
| Moran I | Moran I = 0.16763, | ||||
| Large | (Intercept) | 94.851 [7.677] <0.001 | 94.851 [6.535] <0.001 | 61.987 [27.524] 0.034 | 100.775 [37.511] 0.007 |
| AI_man_L | 2.658 [0.932] 0.009 | 2.658 [0.741] 0.001 | 2.895 [0.941] 0.005 | 2.679 [0.896] 0.003 | |
| lag.AI_man_L | – | – | 6.732 [5.419] 0.226 | – | |
| rho | – | – | −0.058 [0.341] 0.865 | ||
| 0.246/0.215 | – | 0.291/0.232 | – | ||
| Shapiro–Wilk | W = 0.94908, | ||||
| Breusch–Pagan | BP = 0.048472, df = 1, | ||||
| Moran I | Moran I = −0.032911, | ||||
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