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University of Hull

Facilitating self-organization in non-hierarchical communities: a methodology for regeneration programs

Abstract

dc:description.abstract

Research purpose: As a by-product in the development of the Quality Management Systems, self-organized working groups were introduced and became a common practice in management. In the last ten years some authors – influenced by the developments in the study of Complex Systems – have reintroduced the self-organization concept as being the future of management. In this approach, the description of the mechanism driving this process has been explored to provide a method to facilitate the emergence of viable organisational structures and to support such organizational behaviour. This topic becomes more relevant in the present times when the community development is more locally oriented and the communities are being empowered to become more autonomous in the definition of the means and results they want to improve their quality of live. It is within this context that in order to facilitate self-organization processes – in a rural community engaged in a independent regeneration program –this research suggest the use of a model inspired in both cybernetics and the self-organization in a biological system. Methods: This thesis details the development of a three loops framework aimed to facilitate the self-organizing behaviour through the use of a Visualization - Planning - Reflective toolset (V-P Toolset). The framework was deployed within a case study organization (The XOOP) using an interpretivist philosophy of constructionism to guide the research. During its execution the researcher acted as both an observer and participant of the organisational change. Within the context of an action research project, the framework followed a multimethodology design where cybernetic and social tools of organizational analysis such as the Viable System Model (VSM), Narrative and Story-telling analysis and Social Network Analysis (SNA) provided a unique approach to the facilitation of self-organization and the mergence of viable organizational structures. Results: The VSM and the SNA were used to diagnose the organizational structure. The information provided by these tools was then contextualized within the Narrative and Story-telling analysis, identifying critical events in the evolution of the organization. This combination of tools provided insights about the self-organizing behaviour of the organization and the mechanism that facilitated (or impeded) the emergence of viable organizational structures throughout the evolution of the observed community.Conclusions: The introduction of a common language to describe the organization facilitated the endogenous creation of a shared mental model of the community. This representation of the organization made more efficient the exchange of information, the coordination of activities and the autonomous operation of the different working groups. Thus, the iterative loops of the V-P contributed to made this process more efficient and provided evidence about the convenience of the integration of the VSM with the SNA as organizational diagnostic tools.

Degree

thesis:*
Name dc:type.qualificationname
PhD
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Hull
Year dc:date.issued
2011

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Cardoso Castro, Pedro Pablo
Advisors dc:contributor.advisor
  • Espinosa Salazar, Angela Ma. (Angela María)
  • Johnson, Magnus

Subjects

dc:subject × 1

Rights

Language dc:language
en

Identifiers

dc:identifier.*
Identifier
oai:hull-repository.worktribe.com:4211513
OAI identifier oai:identifier
oai:hull-repository.worktribe.com:4211513

Chain of custody

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University of Hull
Base URL
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Last updated
2026-07-24
Source record
OAI-PMH GetRecord
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citation

Cardoso Castro, Pedro Pablo. Facilitating self-organization in non-hierarchical communities: a methodology for regeneration programs. Doctoral thesis, University of Hull, 2011. https://hull-repository.worktribe.com/4211513/1/Thesis