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.
Description
An application of agent-based simulation to knowledge sharing
%0 Journal Article
%1 1480820
%A Wang, Jing
%A Gwebu, Kholekile
%A Shanker, Murali
%A Troutt, Marvin D.
%C Amsterdam, The Netherlands, The Netherlands
%D 2009
%I Elsevier Science Publishers B. V.
%J Decision Support Systems
%K agent knowledge-sharing modeling simulation
%N 2
%P 532--541
%R http://dx.doi.org/10.1016/j.dss.2008.09.006
%T An application of agent-based simulation to knowledge sharing
%U http://portal.acm.org/citation.cfm?id=1480545.1480820&coll=GUIDE&dl=GUIDE
%V 46
%X 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.
@article{1480820,
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.},
added-at = {2009-01-13T10:16:26.000+0100},
address = {Amsterdam, The Netherlands, The Netherlands},
author = {Wang, Jing and Gwebu, Kholekile and Shanker, Murali and Troutt, Marvin D.},
biburl = {https://www.bibsonomy.org/bibtex/2831e8fd465dbb1a59daca3ec96016ece/anneba},
description = {An application of agent-based simulation to knowledge sharing},
doi = {http://dx.doi.org/10.1016/j.dss.2008.09.006},
interhash = {4ca959fad04c3b396c84cc2b5b6f0451},
intrahash = {831e8fd465dbb1a59daca3ec96016ece},
issn = {0167-9236},
journal = {Decision Support Systems},
keywords = {agent knowledge-sharing modeling simulation},
number = 2,
pages = {532--541},
publisher = {Elsevier Science Publishers B. V.},
timestamp = {2009-01-13T10:16:26.000+0100},
title = {An application of agent-based simulation to knowledge sharing},
url = {http://portal.acm.org/citation.cfm?id=1480545.1480820&coll=GUIDE&dl=GUIDE},
volume = 46,
year = 2009
}