Abstract

With the increasing complex business environment that organizations have to operate in today, teams are being utilized to complete complex tasks. Teams are capable of completing complex tasks that no one individual can achieve. Effective team decision-making requires team members to discuss new information (unshared knowledge) and to consider this new information along with existing information (shared knowledge). Research has shown that shared knowledge is favored over unshared knowledge during team discussions. One method of transferring unshared knowledge to shared knowledge is to take advantage of new multiagent systems that are designed to support teams. Multiagent systems are capable of filtering information without the bias toward shared information over unshared information. This paper takes a theoretical approach supporting the use of multiagent systems as a means to increase the effectiveness of team decision-making processes by better capturing shared and unshared information.