Working Toward a System for Measuring Dynamic Knowledge
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Authors
Nissen, Mark E.
Subjects
Dynamic
Knowledge
Knowledge Flow
Knowledge Flow Theory
Measurement
Physics
Knowledge
Knowledge Flow
Knowledge Flow Theory
Measurement
Physics
Advisors
Date of Issue
2017-07
Date
July-September 2017
Publisher
Language
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.
Type
Article
Description
The article of record as published may be located at http://dx.doi.org/10.4018/IJKM.2017070101
Series/Report No
Department
Information Science and Management
Organization
Identifiers
NPS Report Number
Sponsors
Funder
Format
Citation
Nissen, Mark E. "Working Toward a System for Measuring Dynamic Knowledge." International Journal of Knowledge Management (IJKM) 13.3 (2017): 1-19.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.