MATEC Web Conf.
Volume 127, 2017The 11th International Conference on Axiomatic Design (ICAD 2017)
|Number of page(s)||17|
|Published online||09 October 2017|
A Road Map for Knowledge Management Systems Design Using Axiomatic Design Approach
1 Department of Industrial Engineering, Sharif University of Technology, Azadi Ave., Tehran, Iran
2 Department of Engineering, Khatam University, Shirazi Ave., Tehran, Iran
⁎ Corresponding author: firstname.lastname@example.org
Successful design and implementation of knowledge management systems have been the main concern of many researchers. It has been reported that more than 50% of knowledge management systems have failed, therefore, it is required to seek for a new and comprehensive scientific approach to design and implement it. In the design and implementation of a knowledge management system, it is required to know ’what we want to achieve’ and ’how and by what processes we will achieve it’. A literature review conducted and axiomatic design theory selected for this purpose. For the first time, this paper develops a conceptual design of knowledge management systems by means of a hierarchical structure, composed of ’Functional Requirements’ (FRs), ’Design Parameters’ (DPs), and ’Process Variables’ (PVs). The intersection of several studies conducted in the field of knowledge management systems has been used to design the knowledge management model. It reveals that six essential bases of knowledge management are organizational culture, organizational structure, human resources, management and leadership, information technology, and the external environment of the organization; that are represented as top DPs in the structure of the model. These essential factors are decomposed to lower levels by means of zigzagging. The model implemented in Tehran Urban and Suburban Railway Operation Corporation (TUSROC) and the results were very promising. The most important result of this study is a roadmap to design successful and efficient knowledge management systems.
© The authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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