Working Toward a System for Measuring Dynamic Knowledge

Mark E. Nissen
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Mark E. Nissen: Information Science and Management Department, US Naval Postgraduate School, Monterey, CA, USA

International Journal of Knowledge Management (IJKM), 2017, vol. 13, issue 3, 1-19

Abstract: Knowledge is inherently intangible, invisible and resistant to quantification, particularly when in dynamic motion. This makes it a considerable and persistent challenge to understand, visualize and measure. The research described in this article builds upon emerging knowledge measurement techniques and well-established knowledge flow theory to develop a system for measuring dynamic knowledge in the organization. This measurement capability is developed judiciously and analogically from the author's understanding of dynamic physical systems. As a background, the key literature on knowledge measurement and knowledge flow theory is reviewed. Then this system for measuring dynamic knowledge is conceptualized, and its use, utility and theoretical coherence are illustrated through practical application. This research makes a theoretical contribution by advancing a coherent approach to dynamic knowledge measurement, and it makes a practical contribution through illustration in the organization context. A related goal is to stimulate considerable thinking, discussion, debate and continued research.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jkm000:v:13:y:2017:i:3:p:1-19

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