An application of agent-based simulation to knowledge sharing

Authors:
Jing Wang;Kholekile Gwebu;Murali Shanker;Marvin D. Troutt
Affiliations:
Decision Sciences Department, Whittemore School of Business and Economics, University of New Hampshire, United States;Decision Sciences Department, Whittemore School of Business and Economics, University of New Hampshire, United States;Department of Management & Information Systems, College of Business, Kent State University, United States;Department of Management & Information Systems, College of Business, Kent State University, United States
Venue:
Decision Support Systems
Year:
2009

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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.