A road map for knowledge management systems design using axiomatic design approach

Houshmand, M ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.1051/matecconf/201712701022
  3. Abstract:
  4. 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
  5. Keywords:
  6. Conceptual design ; Hierarchical systems ; Information management ; Knowledge acquisition ; Knowledge based systems ; Knowledge management ; Large scale systems ; Railroad transportation ; Axiomatic design theory ; Design and implementations ; Functional requirement ; Hierarchical structures ; Knowledge management model ; Knowledge management system ; Organizational cultures ; Organizational structures ; Structural design
  7. Source: MATEC Web of Conferences, 13 September 2017 through 15 September 2017 ; Volume 127 , 2017 ; 2261236X (ISSN)
  8. URL: https://www.matec-conferences.org/articles/matecconf/abs/2017/41/matecconf_icad2017_01022/matecconf_icad2017_01022.html