Extending a System for Measuring Dynamic Knowledge: Reconsidering Knowledge Flow Efficiency for Decision Support

Abstract

Knowledge is key to competitive advantage, but it is inherently invisible, intangible and resistant to quantification, particularly when in dynamic motion. Recent research builds upon emerging knowledge measurement techniques and well-established knowledge flow theory to develop a system for measuring dynamic knowledge in the organization. Results from application to archetypical organization processes are highly consistent with extant theory. However, they also lead us to question some theoretic concepts and correspondences. In this article, we extend the measurement system and reconsider the effects of knowledge flow efficiency through dynamic measurement. We then illustrate how such extension establishes a novel decision support capability.