Systems engineering methodologies, tacit knowledge and communities of practice

Larry Stapleton, David Smith, Fiona Murphy

Research output: Contribution to journalReview articlepeer-review

15 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)159-179
Number of pages21
JournalAI & Society
Volume19
Issue number2
DOIs
Publication statusPublished - Apr 2005

Keywords

  • Human-centred systems
  • Knowledge
  • Methodologies
  • Systems engineering

Fingerprint

Dive into the research topics of 'Systems engineering methodologies, tacit knowledge and communities of practice'. Together they form a unique fingerprint.

Cite this