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  • Co-Evolution Path Model (CePM): Sustaining Enterprises as Complex Systems on the Edge of Chaos

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    Author(s)
    Kandjani, Hadi
    Tavana, Madjid
    Bernus, Peter
    Nielsen, Sue
    Griffith University Author(s)
    Nielsen, Sue
    Bernus, Peter
    Kandjani, Hadi
    Year published
    2014
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    Abstract
    The purpose of this study is primarily theoretical-to propose and detail a model for system evolution and show its derivation from the fields of enterprise architecture (EA), cybernetics, and systems theory. Cybernetic thinking is used to develop the coevolution path model (CePM) to explain how enterprises coevolve with their environments. The model reinterprets Ashby's law of requisite variety, Stafford Beer's viable system model, and Conant and Ashby's theorem of the ''good regulator'' to exemplify how various complexity management theories could be synthesized into a cybernetic theory of EA-informingmanagement ofmechanisms ...
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    The purpose of this study is primarily theoretical-to propose and detail a model for system evolution and show its derivation from the fields of enterprise architecture (EA), cybernetics, and systems theory. Cybernetic thinking is used to develop the coevolution path model (CePM) to explain how enterprises coevolve with their environments. The model reinterprets Ashby's law of requisite variety, Stafford Beer's viable system model, and Conant and Ashby's theorem of the ''good regulator'' to exemplify how various complexity management theories could be synthesized into a cybernetic theory of EA-informingmanagement ofmechanisms to maintain harmony between the evolution of the enterprise as a complex system and the evolution of its complex environment.
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    Journal Title
    Cybernetics and Systems
    Volume
    45
    Issue
    7
    DOI
    https://doi.org/10.1080/01969722.2014.945315
    Copyright Statement
    © 2014 Taylor & Francis. This is an electronic version of an article published in Cybernetics and Systems, Vol. 45(7), pp. 547-567, 2014. Cybernetics and Systems is available online at: http://www.tandfonline.com with the open URL of your article.
    Subject
    Information Systems Management
    Artificial Intelligence and Image Processing
    Cognitive Sciences
    Publication URI
    http://hdl.handle.net/10072/68916
    Collection
    • Journal articles

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