Applying a System for Measuring Dynamic Knowledge: Reconsidering the Spiral Model

Autor: Mark E. Nissen
Přispěvatelé: Naval Postgraduate School (U.S.)
Rok vydání: 2019
Předmět:
Zdroj: HICSS
Popis: Proceedings of the 52nd Hawaii International Conference on System Sciences | 2019 The article of record as published may be found at https://doi.org/10.24251/HICSS.2019.678 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 much theory. However, they also lead us to question some longstanding theoretic concepts and principles. In this article, we reconsider the well-known Spiral Model through dynamic knowledge measurement.
Databáze: OpenAIRE