An application of agent-based simulation to knowledge sharing

An application of agent-based simulation to knowledge sharing 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Decision Support Systems Elsevier

An application of agent-based simulation to knowledge sharing

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Publisher
Elsevier
Copyright
Copyright © 2008 Elsevier B.V.
ISSN
0167-9236
eISSN
1873-5797
D.O.I.
10.1016/j.dss.2008.09.006
Publisher site
See Article on Publisher Site

Abstract

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.

Journal

Decision Support SystemsElsevier

Published: Jan 1, 2009

References

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