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An agent-based model of teams under external shocks

conference contribution
posted on 17.06.2016, 14:01 by Duncan RobertsonDuncan Robertson, Leroy White
There is increasing interest in studies examining whether agent-based simulation models can reproduce the interactions between actors of an organization or group in an artificial environment where the agents make decisions with one another. In particular scholars are increasingly interested in whether an actor’s social network matter in the decision making process. In this paper, we review the mechanisms for creating artificial social networks in a group setting. We use an agent-based model to generate dynamic Preferential Attachment networks, and expose these networks to exogenous shocks. This causes these networks to cleave under their weakest point, using Newman’s concept of mod-ularity. We examine the resultant giant component and repeat the process to examine whether exposing a social network to repeated shocks creates more ro-bust or less robust networks. We compare these results with empirical data from a longitudinal network study. We provide findings which may be of use not only to the GDN and behavioral operational research community but also to the wider human resources management community.

History

School

  • Business and Economics

Department

  • Business

Published in

Group Decision & Negotiation (INFORMS)

Citation

ROBERTSON, D.A. and WHITE, L., 2016. An agent-based model of teams under external shocks. Presented at the 2016 International Conference on Group Decision & Negotiation Western Washington University, WA, June 20-24th.

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

03/05/2016

Publication date

2016

Notes

This paper is in closed access.

Language

en

Location

Seattle, WA