An application of agent-based simulation to knowledge sharing
Authors: Wang, Jing; Gwebu, Kholekile; Shanker, Murali; Troutt, Marvin D.
Journal: Decision Support Systems (2009)
DOI: 10.1016/j.dss.2008.09.006
This paper explores knowledge sharing using an agent-based simulation model. Built using Repast, our application allows managers to simulate employee knowledge-sharing behaviors by making parametric assumptions on employee decision strategies and organizational interventions that affect identifiability, benefits, and costs. Our results show that in the presence of non-linear and adaptive interaction, unintended and unpredictable outcomes might occur, and that knowledge sharing results from the complex interaction between employee behavior and organizational interventions.