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Towards integrated decision-making for adaptive learning: evaluation of systems as fit for purpose

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  • Elena Beauchamp-Akatova

Abstract

We focus on 'adaptive learning' for the resolution of conflicts between safety and efficiency in performance, and between design and operational flexibility, thereby increasing adaptive capacity. Safety cannot be improved by applying check lists alone. Balanced, safe performance is managing diversity rather than achieving consistency. Organizational learning is increasingly important for industry in its adaptation to change, but should be seen as both stakeholder- and process-based. Organizations fail to learn when inherent traditional characteristics do not allow for the correct formulation of problems. Transformation in the learning process takes place when participants understand their own and others' benefits and losses. If learning is the conceptualization of a holistic approach, then the focus should be on the integration of knowledge from diverse backgrounds. Special attention is drawn to Analytic Hierarchy Process (AHP) methodology as a potential tool in order to extend existing frames of interpretation, where all voices can be heard.

Suggested Citation

  • Elena Beauchamp-Akatova, 2009. "Towards integrated decision-making for adaptive learning: evaluation of systems as fit for purpose," Journal of Risk Research, Taylor & Francis Journals, vol. 12(3-4), pages 361-373, June.
  • Handle: RePEc:taf:jriskr:v:12:y:2009:i:3-4:p:361-373
    DOI: 10.1080/13669870802692211
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