Determining the Dimension of Knowledge Management Implementation by Utilizing a Fuzzy TOPSIS Method

Mona Ahani, Hamid Reza Bahrami and Behrooz Shariflu

International Journal of Business Administration, 2013, vol. 4, issue 1, 113-123

Abstract: The purpose of this research is to identify and rank different aspects of knowledge management based on the Beckman model using the Fuzzy TOPSIS technique. The Beckman model, in this research, has 8 main dimensions including: knowledge identification, knowledge acquisition, knowledge selection, knowledge storage, knowledge distribution, knowledge creation, knowledge application, knowledge business, and 33 sub-criteria or alternatives. The population of the present study includes 197 members of the Education and Research Department staff of Islamic Azad University, Science and Research Branch. Using Chi 2 correlation tests at first, a positive and meaningful correlation between the 8 above-mentioned criteria and knowledge management implementation in this University Branch was confirmed. Then the components of the Beckman model were ranked using Fuzzy TOPSIS technique. Finally "high value and uniqueness of the available knowledge in the university" was selected as the most significant sub criterion of the Beckman model and "the amount of existing knowledge transforming into directions, strategies and guidelines" and "the amount of the existing documented knowledge in the university" were selected as the most effective factors in the knowledge management implementation. In addition, knowledge selection, knowledge storage and knowledge application were selected as the most important dimensions of knowledge management in the Beckman model.

Keywords: Knowledge management; Beckman model; Multi-Criteria Decision Making (MCDM); Fuzzy TOPSIS (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:jfr:ijba11:v:4:y:2013:i:1:p:113-123

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