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Organisational Learning using Near-Miss and Accident Data within and outside your Organisation

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Safety-Critical Systems: The Convergence of High Tech and Human Factors

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Abstract

This paper describes our experiences with creating learning organisations in the domain of safety and risk management. The useability of accident and incident data for direct feedback to operational risk control will be discussed. Principles will be described of Knowledge Management (KM) in relation to organisational learning. The application of KM and of a relevant knowledge framework for the collection and interpretation of (near-miss) accident data enable organisations to learn faster, more effectively and more efficiently from incidents within a network of organisations. This has been demonstrated in a technology transfer project.

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Author information

Authors and Affiliations

  1. Safety Science Group, Delft University of Technology, The Netherlands

    Floor Koornneef & Jurek Karczewski

  2. CSC Computer Sciences, Amsterdam, The Netherlands

    André Spijkervet

Authors
  1. Floor Koornneef
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  2. André Spijkervet
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  3. Jurek Karczewski
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Editor information

Editors and Affiliations

  1. Redmill Consultancy, 22 Onslow Gardens, London, N10 3JU, UK

    Felix Redmill

  2. Centre for Software Reliability, University of Newcastle-upon-Tyne, Newcastle-upon-Tyne, NE1 7RU, UK

    Tom Anderson

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© 1996 Springer-Verlag London Limited

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Koornneef, F., Spijkervet, A., Karczewski, J. (1996). Organisational Learning using Near-Miss and Accident Data within and outside your Organisation. In: Redmill, F., Anderson, T. (eds) Safety-Critical Systems: The Convergence of High Tech and Human Factors. Springer, London. https://doi.org/10.1007/978-1-4471-1480-2_10

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  • DOI: https://doi.org/10.1007/978-1-4471-1480-2_10

  • Publisher Name: Springer, London

  • Print ISBN: 978-3-540-76009-2

  • Online ISBN: 978-1-4471-1480-2

  • eBook Packages: Springer Book Archive

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