Scientific Research and Essays

  • Abbreviation: Sci. Res. Essays
  • Language: English
  • ISSN: 1992-2248
  • DOI: 10.5897/SRE
  • Start Year: 2006
  • Published Articles: 2768

Full Length Research Paper

A dynamic model for measuring knowledge level of organizations based on Nonaka and Takeuchi Model (SECI)

Navid Nezafati1*, Abbas Afrazeh1 and S. Mohammad J. Jalali2
1Department of Industrial Engineering, Amir Kabir Polytechnique University, Tehran, Iran. 2Department of Industrial Engineering, Islamic Azad University, North Tehran Branch, Young Researches Club, Tehran, Iran.
Email: [email protected], [email protected]

  •  Accepted: 26 February 2009
  •  Published: 31 May 2009


In this article, by considering Nonaka and Takeuchi model (SECI) and its dynamic simulation as a basis, a measurement model is planned which covers the necessary four dimensions of knowledge "knowledge volume", "knowledge value", "transformation speed of different types of knowledge" and "knowledge advantages and expenses" simultaneously. It is necessary to pay attention to various kinds of knowledge such as explicit, implicit and individual knowledge, organizational and group knowledge in measuring techniques, because knowledge is impressionable from diverse organizational elements and its transformation is a function of time and has a dynamic entity in an organization. This dynamic model has been designed for simulating SECI model in accordance with information delay in which its inputs are dynamically related to each other and they show the link among knowledge activities. The output of these models is the degree (amount) of explicit and implicit knowledge in an individual, group, organization and for each of them, the volume and value of knowledge, transformation speed of different type of knowledge and its expenses are acquired. This model is capable of explaining varied scenarios and policies of knowledge management in an organization with separated curves. This model was Implemented and validated in 68 Iranian organizations and has obtained favourable results.


Key words: Knowledge measuring, knowledge management, SECI model, system dynamics.