AI & SOCIETY

, Volume 19, Issue 2, pp 159–179

Systems engineering methodologies, tacit knowledge and communities of practice

Original Article

DOI: 10.1007/s00146-004-0312-3

Cite this article as:
Stapleton, L., Smith, D. & Murphy, F. AI & Soc (2005) 19: 159. doi:10.1007/s00146-004-0312-3

Abstract

In the context of technology development and systems engineering, knowledge is typically treated as a complex information structure. In this view, knowledge can be stored in highly sophisticated data systems and processed by explicitly intelligent, software-based technologies. This paper argues that the current emphasis upon knowledge as information (or even data) is based upon a form of rationalism which is inappropriate for any comprehensive treatment of knowledge in the context of human-centred systems thinking. A human-centred perspective requires us to treat knowledge in human terms. The paper sets out the particular importance of tacit knowledge in this regard. It sets out two case studies which reveal the critical importance of a careful treatment of tacit knowledge for success in two complex, technology-driven projects.

Keywords

Human-centred systemsSystems engineeringMethodologiesKnowledge

Copyright information

© Springer-Verlag London Limited 2004

Authors and Affiliations

  1. 1.Information Systems, Organisations and Learning Research CentreWaterford Institute of TechnologyRepublic of Ireland
  2. 2.School of Art, Media and DesignUniversity of Wales CollegeNewportWales