Name
Title | ||
|---|---|---|
Investigation of information flow in hierarchical organizations using agent-based modeling |
Abstract | ||
|---|---|---|
This paper describes an agent-based model for exploring the effects of traditional supervisory merit-based promotions and hierarchical organizational structure on the flow of information. Each agent simulating a worker follows the same rules for handling information and promotion: Agents differ only in the breadth of information they consider important. The model considers three types of information, "red," "yellow," and "green." One-third of the workers (red) consider only red information important. One-third of the workers (yellow) consider both red and yellow information equally important. The final third of the workers (green) consider red, yellow, and green information equally important. Red workers are more focused, restricted, and narrow-minded in the type of information they consider important, whereas green workers are more unfocused and unrestricted. Starting with an organizational structure with only one supervisor and moving toward a tiered organizational structure through promotions, the objective of the simulation was to determine how this agent-based model affects the flow of information that workers consider important. The results indicate that the more narrowly focused workers will dominate the organizational structure, thereby suppressing the flow of information they do not consider important. |
Year | Venue | Keywords |
|---|---|---|
2009 | SpringSim | agent-based model,red information,information flow,green worker,red worker,yellow information,tiered organizational structure,organizational structure,agent-based modeling,hierarchical organizational structure,traditional supervisory merit-based promotion,green information,intelligent agents,intelligent agent |
Field | DocType | Citations |
Supervisor,Information flow (information theory),Intelligent agent,Organizational structure,Simulation,Computer science,Knowledge management | Conference | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jeff Waters | 1 | 15 | 4.48 |
| James Eitelberg | 2 | 0 | 0.34 |
| Ritesh Patel | 3 | 0 | 0.34 |
| Marion G. Ceruti | 4 | 126 | 27.87 |