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.
Decision Support Systems – Elsevier
Published: Jan 1, 2009
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