Using Cognitive Factions to Represent Shared Knowledge David Tegarden Department of Accounting and Information Systems Pamplin College of Business Virginia Polytechnic Institute and State University david.tegarden@vt.edu Biographical Sketch David Tegarden is an Associate Professor in the Depart- ment of Accounting and Information Systems in the Pam- plin College of Business. He also holds an appointment (by courtesy) in the Department of Computer Science in the College of Engineering. Dr. Tegarden received the BBA in Information Systems from Middle Tennessee State Univer- sity in 1980; the MS in Accounting/Information Systems from Middle Tennessee State University in 1981; and the PhD in Information Systems from the University of Colo- rado in 1991. His minor area, in his PhD, was Computer Science where he specialized in Artificial Intelligence and Knowledge Representation. His most recent research has been in the area of cogni- Abstract tive diversity, information visualization, ontology, and software engineering. His research has appeared in journals When organizations face disruptive changes, creating a such as Decision Support Systems, Group Decision and democratic strategic plan can be useful. Furthermore, un- Negotiation, IEEE Transactions in Visualization and Com- covering and leveraging cognitive diversity has been puter Graphics, International Journal of Human Computer shown to positively affect a strategic management team’s Studies, Journal of Information Systems, Journal of Man- performance. However, typical strategic plans only reflect agement Information Systems, Journal of Systems and the beliefs and values of the most powerful stakeholders. Software, Journal of Software Maintenance and Evolution: Consequently, cognitive diversity is minimized. Research and Practice, and Omega. Using specialized Group Support Systems software, we uncover cognitive factions; subgroups of individuals with diverse views and beliefs. The group-driven causal mapping approach provides clarity in understanding the underlying belief structures of the cognitive factions through the use of givens-means-ends and causal path analysis of cognitive faction theme maps. Cognitive faction – driven analysis has been useful in both academic and corporate strategic planning settings and also in supporting student learning.