Multiobjective Decision Making Policies and Coordination Mechanisms in Hierarchical Organizations: Results of an Agent-Based Simulation
Table 3
Satisficing approach, aspiration level for objective 2: .
Interdependencies
Final performances
Average performances
obj 1/obj 2
Panel A: coordination mode: central
Low/low
0.8814
0.9076
0.8945
0.8967
0.9016
0.8856
Low/medium
0.8197
0.8945
0.8571
0.8098
0.8877
0.8488
Medium/medium
0.7918
0.8876
0.8397
0.7826
0.8815
0.8321
Low/high
0.7338
0.8616
0.7977
0.7296
0.8569
0.7932
Medium/high
0.7146
0.8606
0.7876
0.7103
0.8561
0.7832
High/high
0.7080
0.8568
0.7824
0.7037
0.8525
0.7781
Panel B: coordination mode: decentral
Low/low
0.8803
0.9089
0.8946
0.8734
0.9073
0.8903
Low/medium
0.8324
0.8917
0.8620
0.8226
0.8860
0.8543
Medium/medium
0.7980
0.8901
0.8441
0.7885
0.8848
0.8366
Low/high
0.7389
0.8609
0.7999
0.7328
0.8517
0.7922
Medium/high
0.7144
0.8588
0.7866
0.7084
0.8495
0.7789
High/high
0.7132
0.8587
0.7859
0.7070
0.8495
0.7783
Incentivisation: and . Results are based on 450 landscapes, each with 20 adaptive walks. obj = objective, confidence intervals vary from 0.001 to 0.004 on the 99.9% level.
