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    Living Systems, Complexity & Information Systems Science

    154949_32158_Halkett Knight Living Systems.pdf (168.7Kb)
    Access Status
    Open access
    Authors
    Knight, Shirlee-ann
    Halkett, Georgia
    Date
    2010
    Type
    Conference Paper
    
    Metadata
    Show full item record
    Citation
    Knight, Shirlee-ann and Halkett, Georgia K.B. 2010. Living Systems, Complexity & Information Systems Science, in Bandara, W. and Fernandez, W. and Rowlands, B. (ed), Proceedings of the 21st Australasian Conference on Information Systems, ACIS 2010, Dec 1 2010, paper 33. Brisbane, QLD: Association for Information Systems.
    Source Title
    21st Australasian Conference on Information Systems
    Source Conference
    ACIS 2010
    School
    WA Centre for Cancer and Palliative Care (WACCPC)
    Remarks

    Excerpted from the Proceedings of the 21st Australasian Conference on Information Systems, ACIS 2010, edited by W. Bandara, W. Fernandez and B. Rowlands. © 2010. Used with permission from Association for Information Systems, Atlanta, GA; 404-413-7444; www.aisnet.org. All rights reserved.

    URI
    http://hdl.handle.net/20.500.11937/5433
    Collection
    • Curtin Research Publications
    Abstract

    The paper examines some of the significant new developments in the epistemological framing of systems theory, and their application within the information and management sciences. Specifically, the article argues that Information Systems (IS) – at its heart a systems-science – requires an ongoing discourse into how the metaphors of ‘living systems’, ‘complex systems’, and ‘complexity’ apply to the theoretical foundations of the IS discipline at large.Pragmatically, the implications of developing a complex and living systems framework to investigate IS phenomena has the capacity to synthesise the very way information systems researchers consider their discipline, and the scientific inquiry of it. The “information system” becomes a decentralised, complex and evolving entity, where notions of chaos theory; system self-organisation; autopoietic and dissipative networks; emergence; entropy; and nonlinear dynamics; provide a rich and novel way to investigate system behaviours, human cognitive behaviours, and the management and business contexts in which those behaviours occur.

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