KNOWLEDGE MANAGEMENT IN HIGH-HAZARD INDUSTRIES. IN: ACCIDENT PRECURSOR ANALYSIS AND MANAGEMENT: REDUCING TECHNOLOGICAL RISK THROUGH DILIGENCE

Accident precursors are events that must occur for an accident to happen in a given scenario, but that have not resulted in an accident thus far. This chapter on knowledge management in high-hazard industries, from a section on risk management, is from the proceedings of a workshop (Washington, DC, July 2003) sponsored by the National Academy of Engineering's (NAE) Accident Precursors Project. In this chapter, the author notes that every precursor event is both a test of the adequacy of system defenses and an opportunity to develop and apply knowledge to avoid accidents. The author describes a stock-and-flow model of knowledge management and how it is applied in high hazard industries such as nuclear power. The author then describes the capabilities model, which conceptualizes knowledge management as a system capable of attending to signals, generating new knowledge (updating), retaining knowledge, and applying knowledge where it is needed. The author finally outlines the practice model of knowledge management, which focuses on specific activities, such as story-telling, bridging practices (boundary spanning), analysis of root causes, and conversations with shared purposes. The author concludes that, in managing knowledge about accident precursors, organizations must attend to the local nature of problems and the knowledge that must be brought to bear to address them, as well as to the global nature of what is learned and what may be needed at other times in other locations.

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• Corporate Authors:

  National Academy of Engineering

  2101 Constitution Avenue, NW
  Washington, DC  United States  20418
• Authors:
  • Carroll, J S
• Publication Date: 2004

Language

• English

Media Info

• Features: References;
• Pagination: p. 127-136
• Serial:
  • Publication of: National Academy of Engineering
  • Publisher: National Academy of Engineering

Subject/Index Terms

• TRT Terms: Crash risk forecasting; Detection and identification; Disaster preparedness; Information dissemination; Knowledge; Management information systems; Organizational effectiveness; Recommendations; Risk analysis; Risk management
• Uncontrolled Terms: Accident precursors
• Subject Areas: Data and Information Technology; Highways; Planning and Forecasting; Research; Safety and Human Factors; I10: Economics and Administration;

Filing Info

• Accession Number: 00987423
• Record Type: Publication
• ISBN: 0309092167
• Files: TRIS
• Created Date: Mar 7 2005 12:00AM