Research Article
The Intertwining Impact of Intraorganizational and Routine Networks on Routine Replication Dynamics: An Agent-Based Model
Table 4
Multiple fixed effects panel regressions.
(a) Dep. Variable: steadyTime |
| | Scenario I | Scenario II | Scenario III | Scenario IV |
| K_routine | 4.9699 (0.9761) | 20.1570 (2.522) | 7.8355 (0.3780) | 5.3655 (0.2659) | random_p | 599.1148 (7.7170) | | 131.6095 (2.9886) | | unit_AC | 395.3063 (2.6732) | | 128.1644 (1.0353) | | error_p | | 1450.3890 (23.913) | | 35.8058 (2.1019) | innovate_p | | 2994.8650 (33.1511) | | 19.0925 (3.6406) | env_Change_P | | | -0.7774 (0.0021) | -0.0682 (0.0015) |
| R-squared | 338.1 | 617.8 | 149.3 | 105 | F-statistic | 9307 | 11850 | 38260 | 707.6 | Degree of freedom | 3 and 23996 | 3 and 11996 | 4 and 31195 | 4 and 31195 | p-value | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
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Significance codes: p < 0.001; p < 0.01; p < 0.05; p < 0.1. |
(b) Dep. Variable: replicate_num |
| | Scenario I | Scenario II | Scenario III | Scenario IV |
| K_routine | 4.3765 (0.1269) | 6.0665 (0.2819) | 2.5261 (0.1033) | 3.4398 (0.0580) | random_p | 108.3740 (1.0034) | | 94.7629 (0.8164) | | unit_AC | 81.4350 (0.3476) | | 82.5934 (0.2828) | | error_p | | 142.4755 (2.6726) | | 83.8480 (0.4583) | innovate_p | | 80.8739 (3.7051) | | 5.4678 (0.7938) | env_Change_P | | | 0.0101 (0.0006) | -0.0022 (0.0003) |
| R-squared | 44.0 | 69.1 | 40.8 | 22.9 | F-statistic | 22580 | 3159 | 24910 | 9271 | Degree of freedom | 3 and 23996 | 3 and 11996 | 4 and 31195 | 4 and 31195 | p-value | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
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Significance codes: p < 0.001; p < 0.01; p < 0.05; p < 0.1. |
(c) Dep. Variable: innovate_num |
| | Scenario I | Scenario II | Scenario III | Scenario IV |
| K_routine | | 0.2416 (0.0086) | | 0.2041 (0.0038) | random_p | | | | | unit_AC | | | | | error_p | | 1.6531 (0.0815) | | 0.6223 (0.0299) | innovate_p | | 30.4683 (0.1129) | | 32.7830 (0.0517) | env_Change_P | | | | -0.0001 (0.0000) |
| R-squared | | 2.1 | | 1.5 | F-statistic | | 49780 | | 10120 | Degree of freedom | | 3 and 11996 | | 4 and 31195 | p-value | | 0.0000 | | 0.0000 |
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Significance codes: p < 0.001; p < 0.01; p < 0.05; p < 0.1. |
(d) Dep. Variable: avg_Fitness |
| | Scenario I | Scenario II | Scenario III | Scenario IV |
| K_routine | 0.0012 (0.0003) | 0.0060 (0.0004) | 0.0032 (0.0002) | 0.0046 (0.0002) | random_p | 0.0839 (0.0021) | | 0.0254 (0.0019) | | unit_AC | 0.0626 (0.0007) | | 0.0288 (0.0007) | | error_p | | 0.0473 (0.0042) | | -0.0188 (0.0019) | innovate_p | | 0.2273 (0.0059) | 0.0001 (0.0000) | 0.0124 (0.0034) | env_Change_P | | | | 0.0001 (0.0000) |
| R-squared | 0.09 | 0.11 | 0.10 | 0.10 | F-statistic | 2994 | 1426 | 633.3 | 1310 | Degree of freedom | 3 and 23996 | 3 and 11996 | 4 and 31195 | 4 and 31195 | p-value | 0.0000 | 0.0000 | 0.0000 | 0.0000 |
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Significance codes: p < 0.001; p < 0.01; p <.05; p < 0.1. |