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    Engineering asset procurement: operationalising complex adaptive system theory

    203714_203714.pdf (573.5Kb)
    Access Status
    Open access
    Authors
    Furneaux, C.
    Brown, Kerry
    Gudmundsson, A.
    Date
    2008
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Furneaux, C. and Brown, K. and Gudmundsson, A. 2008. Engineering asset procurement: operationalising complex adaptive system theory, in Proceedings of 1st International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future (INFRA 2008), Nov 10 2008. Rotterdam, Netherlands: IEEE.
    Source Title
    Engineering asset procurement: Operationalising complex adaptive system theory
    Source Conference
    2008 1st International Conference on Infrastructure Systems and Services: Building Networks for a Brighter Future, INFRA 2008
    DOI
    10.1109/INFRA.2008.5439596
    ISBN
    978-1-4244-6887-4
    Remarks

    Copyright © 2008 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

    URI
    http://hdl.handle.net/20.500.11937/8457
    Collection
    • Curtin Research Publications
    Abstract

    Procuring the management and maintenance of engineering assets are key activities of government, particularly given the importance of these assets for business and society. Despite their importance, the most effective methods for procuring engineering assets are still to be determined due to the complexity inherent in such arrangements. While Complex adaptive systems (CAS) theory has been advocated as a coherent theoretical framework for examining both procurement and engineering assets, considerable challenges remain in operationalizing this framework for government systems. There are thus two challenges: developing an understanding of the complexity and dynamics of procurement systems, together with a practical problem of how to model such systems. This paper outlines CAS theory and suggests ways that it might be operationalized to examine engineering asset procurement.

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