Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/77793
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Type: Conference paper
Title: An alternative approach to identifying and appraising adaptive loops in complex organizations
Author: Omarova, A.
Ireland, V.
Gorod, A.
Citation: Proceedings of Complex Adaptive Systems Conference held in Washington, D.C., 14-16 November, 2012: pp.56-62
Publisher: Elsevier
Publisher Place: Netherlands
Issue Date: 2012
Series/Report no.: Procedia Computer Science, 2012; 12
ISSN: 1877-0509
Conference Name: Complex Adaptive Systems Conference (2012 : Washington D.C.)
Statement of
Responsibility: 
Amina Omarova, Vernon Ireland and Alex Gorod
Abstract: This paper describes a research into the adaptation property of complex organizations. The research is focused on the development of a methodology for identifying and appraising loops that can allow for organizational adaptation. The proposed methodology draws a parallel between the nature of adaptation in complex organizations and the process of adaptive decisionmaking in human behavior. From this perspective, the adaptive loop in complex organizations can be divided into four steps adapted from the OODA loop (Observe-Orient-Decide-Act). The extension of the OODA loop to an organizational scale is incorporated with an assumption that flow of information, involved in adaptation processes, can be formed by different organizational components. Subsequently, the OODA loop can be presented as a chain of actions created by independent components of both the organization and its environment. Applying this approach to complex organizations necessitates mapping a functional definition of different organizational components within each step of the adaptive loop. Thus, while the functional definition of an organization can be done by using existing tools of organizational analysis (organizational structure, functional decomposition, architecture frameworks, etc.), the main goal of this proposed methodology is the determination of adaptive loops on an organizational scale.
Keywords: Adaptation; adaptive loop; adaptivity framework; complex adaptive systems
Rights: Copyright © 2012 Published by Elsevier B.V.
RMID: 0020127175
DOI: 10.1016/j.procs.2012.09.029
Appears in Collections:Entrepreneurship, Commercialisation, and Innovation Centre publications

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