1. ¹Department of Computer Information Systems, Missouri State University, Springfield, MO, U.S.A.
2. ²Department of Information Technology & Operations Management, Florida Atlantic University, Fort Lauderdale, FL, U.S.A.
3. ³Department of Information and Decision Sciences, Perdue School of Business, Salisbury University, Salisbury, MD, U.S.A.

Correspondence: Ronald Dattero, Department of Computer Information Systems, Missouri State University, 901 South National Avenue, Springfield, MO 65897, U.S.A. Tel: 417 836 6357; Fax: 417 836 6907; E-mail: RonDattero@MissouriState.edu

Received 26 September 2006; Accepted 3 July 2007.

Abstract

Knowledge management is a method for simplifying and improving the process of sharing, distributing, creating, and understanding organizational knowledge. By conducting a knowledge audit, an organization can assess its stores of knowledge and the flows of this knowledge throughout the organization. This paper introduces a new approach to modeling and evaluating the results of a knowledge audit – Meta-Matrix analysis. Meta-Matrix analysis is a fairly new mathematical approach developed to model the various network relations of an organizational system. Meta-Matrix analysis focuses on the (1) agents (employees), (2) knowledge categories, (3) resources, and (4) processes or tasks. The resulting model represents the various network relations of an organization by integrating multiple and related network matrices into a single interrelated unit. A graphical representation of the model can be employed to provide a means of visually understanding the relationships. In addition, Meta-Matrix analysis provides an extensive collection of performance measures.