A Conceptual Model for Knowledge Valuation

By Nahid Hashemian and Mohammad B. Menhaj.

Published by The Organization Collection

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Article: Print $US10.00
Article: Electronic $US5.00

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.

Keywords: 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).

Dr. Nahid Hashemian

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.

Mohammad B. Menhaj

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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