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, but they also lead us to question some theoretic concepts and correspondences. In this article, we extend the measurement system to specify the effects of knowledge flow efficiency. This establishes a novel decision support capability and extends an exciting new line of knowledge management research.
CITATION STYLE
Nissen, M. E. (2020). Extending a system for measuring dynamic knowledge: Reconsidering knowledge flow efficiency for decision support. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2020-January, pp. 4850–4859). IEEE Computer Society. https://doi.org/10.24251/hicss.2020.596
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