<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<item>
  <id>05871800</id>
  <dt>j</dt>
  <an>05871800</an>
  <augroup>
    <au>Wang, Jing</au>
    <au>Gwebu, Kholekile</au>
    <au>Shanker, Murali</au>
    <au>Troutt, Marvin D.</au>
  </augroup>
  <ti>An application of agent-based simulation to knowledge sharing.</ti>
  <so>Decis. Support Syst. 46, No. 2, 532-541 (2009).</so>
  <py>2009</py>
  <pu>Elsevier Science (North-Holland), Amsterdam</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>agent-based modelling</ut>
    <ut>simulation</ut>
    <ut>knowledge sharing</ut>
    <ut>complex adaptive systems</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.dss.2008.09.006</li>
  </ligroup>
  <abgroup>
    <ab>Summary: 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.</ab>
    <rv></rv>
  </abgroup>
</item>