A Conceptual Model for Knowledge Valuation
In today’s knowledge- based economy, knowledge management is increasingly viewed as a crucial factor for competitive success. A successful knowledge management needs a way for knowledge valuation. In this paper, we present a conceptual model for knowledge valuation. To do so, we first extracted the main plausible features of knowledge both its nature and meaning. The main features are amount of information, verification of information and retrieval ability of information. We then developed a three dimensional model to valuate knowledge. The surrounded volume amount these components can represent the knowledge value. To see how powerful our model is, we extracted different aspects of knowledge value from the literature and showed that they can be also acknowledged by the proposed model. The proposed model provides a general framework for knowledge valuation and can be used to valuate different types of knowledge and even human and artificial knowledge bases. The advantages of the model are its easy use, contingency and large domain of use.
||Knowledge Management, Knowledge Value, Intellectual Capital
International Journal of Knowledge, Culture and Change Management, Volume 9, Issue 3, pp.167-176.
Article: Print (Spiral Bound).
Article: Electronic (PDF File; 1.181MB).
Dept. of Mechanical Engineering,, Khayyam Higher Educational Institute, Mashad, Iran (Islamic Republic of)
Dr. Nahid Hashemian Bojnord received her Ph.D. degree in
industrial engineering from Amirkabir University of
Technology, Tehran, Iran in 2008. She joined the Khayyam
higher educational institute, Mashad, Iran. She is author
and co-author of 21 technical papers. Her main research
interests are: knowledge management, intellectual capital
and knowledge production.
Amirkabir University of Technology, Tehran, Iran (Islamic Republic of)
Prof. Mohammad B. Menhaj received his Ph.D. degree from
school of electrical and computer engineering at OSU in
1992. After completing one year with OSU as postdoctoral
fellow, in 1993, he joined the Amirkabir University of
Technology, Tehran, Iran. December 2000 to Aug. 2003, he
was with school of Electrical and Computer Engineering and
Department of Computer Science at OSU as visiting faculty
member and research scholar. He is author and co-author of
more than 300 technical papers, and four books:
Fundamentals of Neural Networks, 1998, and Application of
Computational Intelligence in Control, 1998, Neural
Networks, 2000, and Fuzzy Computations, 2007, all in
Persian. His main research interests are: theory of
computational intelligence, learning automata, adaptive
filtering and their applications in control, power
systems, image processing, pattern recognition, and
communications, and other areas of interests are: theory
of rough set and knowledge discovery.
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