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The knowledge audit: Meta-Matrix analysis

Author

Listed:
  • Ronald Dattero
  • Stuart D Galup
  • Jing ‘Jim’ Quan

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.

Suggested Citation

  • Ronald Dattero & Stuart D Galup & Jing ‘Jim’ Quan, 2007. "The knowledge audit: Meta-Matrix analysis," Knowledge Management Research & Practice, Taylor & Francis Journals, vol. 5(3), pages 213-221, August.
    • Handle: RePEc:taf:tkmrxx:v:5:y:2007:i:3:p:213-221
    DOI: 10.1057/palgrave.kmrp.8500142
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