This paper discusses the conceptual and theoretical foundation upon which whole systems change interventions are based The paper first describes six methods of intervention that are currently being utilized to change whole systems: (1) future search, (2) search conferences/ participative design, (3) open space, (4) large scale interactive process methodology, (5) simu‐real, and (6) fast cycle full participation and the conference model. Next, six common values and assumptions underlying these large scale change interventions are identified: (1) organizations are seen as “whole systems,” (2) viewing organizations as whole systems requires the creation of dialogue among all organizational stakeholders, (3) organizations do not exist, but organizing processes and procedures do, (4) what we perceive as our collective organizational reality becomes the organization that is created, (5) individuals within organizations have the capacity to self‐organize and redefine their reality, and (6) humanity shares a set of universal values that are inherently “good” and these values will ultimately influence voluntary collective action. The paper concludes with an appeal for interventionists and users of large group techniques to be cognizant of the assumptions that drive their choice of intervention.
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1 March 1996
This article was originally published in
The International Journal of Organizational Analysis
Review Article|
March 01 1996
METHODS, VALUES, AND ASSUMPTIONS UNDERLYING LARGE GROUP INTERVENTIONS INTENDED TO CHANGE WHOLE SYSTEMS
Michael R. Manning;
Michael R. Manning
New Mexico State University
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Ghazi Faisal Binzagr
Ghazi Faisal Binzagr
New Mexico State University
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Publisher: Emerald Publishing
Online ISSN: 2576-0785
Print ISSN: 1055-3185
© MCB UP Limited
1996
The International Journal of Organizational Analysis (1996) 4 (3): 268–284.
Citation
Manning MR, Faisal Binzagr G (1996), "METHODS, VALUES, AND ASSUMPTIONS UNDERLYING LARGE GROUP INTERVENTIONS INTENDED TO CHANGE WHOLE SYSTEMS". The International Journal of Organizational Analysis, Vol. 4 No. 3 pp. 268–284, doi: https://doi.org/10.1108/eb028852
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