Multiobjective Decision Making Policies and Coordination Mechanisms in Hierarchical Organizations: Results of an Agent-Based Simulation

Table 5

Short-run schism.

Interdependencies	Final performances			Average performances
obj 1/obj 2	𝑃1^𝑡=100	𝑃2^𝑡=100	𝑃^𝑡=100all	𝑃^avg1	𝑃^avg2	𝑃^avgall
Panel A: coordination mode: central
Low/low	0.8878	0.8093	0.8486	0.8434	0.8429	0.8432
Low/medium	0.9046	0.7465	0.8256	0.8624	0.7897	0.8261
Medium/medium	0.8579	0.7790	0.8185	0.8062	0.8081	0.8072
Low/high	0.9150	0.6954	0.8052	0.8751	0.7515	0.8133
Medium/high	0.8664	0.7373	0.8018	0.8196	0.7683	0.7940
High/high	0.8382	0.7711	0.8047	0.7821	0.7823	0.7822
Panel B: coordination mode: decentral
Low/low	0.8859	0.7638	0.8248	0.8210	0.8246	0.8228
Low/medium	0.8842	0.7055	0.7949	0.8177	0.7402	0.7790
Medium/medium	0.7748	0.6979	0.7364	0.7311	0.7317	0.7314
Low/high	0.8865	0.6766	0.7816	0.8164	0.6875	0.7520
Medium/high	0.7750	0.6672	0.7211	0.7308	0.6788	0.7048
High/high	0.7133	0.6772	0.6953	0.6841	0.6846	0.6843

Incentivisation: 𝑟^own𝑑_𝑧=1 and 𝑟^res𝑑_𝑧=1. Results are based on 450 landscapes, each with 20 adaptive walks. obj = objective, confidence intervals vary from 0.002 to 0.005 on the 99.9% level.