A holistic frame-of-reference for modelling social systems

Purpose - To outline a philosophical system of inquiry that may be used as a frame-of-reference for modelling social systems.Design methodology approach - The paper draws on insights from cognitive science, autopoiesis, management cybernetics and non-linear dynamics.Findings - The outcome of this pa...

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Bibliographic Details
Published inKybernetes Vol. 35; no. 6; pp. 851 - 864
Main Authors Sice, Petia, French, Ian
Format Journal Article
LanguageEnglish
Published London Emerald Group Publishing Limited 01.01.2006
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Summary:Purpose - To outline a philosophical system of inquiry that may be used as a frame-of-reference for modelling social systems.Design methodology approach - The paper draws on insights from cognitive science, autopoiesis, management cybernetics and non-linear dynamics.Findings - The outcome of this paper is an outline of a frame-of-reference to be used as a starting point (or a frame of orientation) for any problem solving modelling intent or act. The framework highlights the importance of epistemological reflection and the need to avoid any separation of the process of knowing from that of modelling. It also emphasises the importance of inquiry into the assumptions that underpin the methods, tools and techniques that we employ, and into the tacit beliefs of the human actors who use them.Research limitations implications - The presented frame-of-reference should be regarded as an evolving system of inquiry, one that seeks to incorporate contemporary human insight.Practical implications - Exactly, how the frame-of-reference presented in this paper should be exploited within an organisational or educational context, is a question to which there is no single "correct" answer. What is primarily important, however, is that it should be used to raise the profile of, and disseminate the benefits that accrue from, inquiry which goes beyond the simple application of tools and methods.Originality value - This paper proposes a new framework-of-reference for modelling social systems that draws on insights from cognitive science, autopoiesis, management cybernetics and non-linear dynamics.
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ISSN:0368-492X
1758-7883
DOI:10.1108/03684920610662638