The Intertwining Impact of Intraorganizational and Routine Networks on Routine Replication Dynamics: An Agent-Based Model
Table 2
Model input settings.
Input parameters
Default settings
Notes
unit_num
20, 40, 60, 80
The number of unit agents involved in the organization
random_p
0.1, 0.3, 0.5, 0.7, 0.9
We adopted a random network model to describe connections between unit agents. Here, the parameter represented the probability of links between two units
N_routine
4, 6, 8, 10
The number of routines involved in the organization
A_routine
2
The number of states for every routine
K_routine
1, 3, …, N_routine – 1
The number of routines that affected one certain routine’s contribution to the unit’s fitness
unit_AC
1, 2, 3
Absorptive capacity of each unit agent
error_p
0, 0.1, 0.3, 0.5, 0.7, 0.9
The probability of errors occurring when replicatee units duplicated routines from a template
innovate_p
0, 0.2, 0.4, 0.6, 0.8
The probability of innovative activities for each unit agent
is_env_change?
FALSE, TRUE
A Boolean variable representing whether the environmental changes existed or not
env_change_P
200, 1000
The simulation rounds period of environmental changes
Note: the underlining values are default settings of the input parameters.
