Beyond Being in the Lab:
Using Multi-Agent Modeling to Isolate Competing Hypotheses

Ning Nan
School of Information
University of Michigan


ABSTRACT

In studies of virtual teams, it is difficult to determine pure effects of geographic isolation and uneven communication technology. We developed a multi-agent computer model in NetLogo to complement laboratory-based organizational simulations. In the lab, favoritism among collocated team members (collocators) appeared to increase their performance. However, in the computer simulation, when controlled for communication delay, in-group favoritism had a detrimental effect on the performance of collocators. This suggested that the advantage of collocators shown in the lab was due to synchronous communication, not favoritism. The canceling-out effects of in-group bias and communication delay explained why many studies did not see performance difference between collocated and remote team members. The multi-agent modeling in this case proved its value by both clarifying previous laboratory findings and guiding design of future experiments.