Declaring Worldviews in SSM for Sustainability & Community Learning
Miles W. Weaver et al.
What the paper says
For over fifty years, Soft Systems ideas and the Soft Systems Methodology (SSM) have played a pivotal role in understanding various problem situations and initiating action. Often tackling the grandest challenges of our time, SSM will retain continued relevance in helping decision-makers address sustainability challenges within organisations and their communities. In this paper, we are concerned with the <i>meaningful co-creation of sustainable value through community-based learning using SSM.</i> More specifically, recognising that a sustainability paradigm, characterised by the <i>need to create a just and safe space for humanity to thrive within the means of a living planet</i> (as called for by Raworth, 2017), is often marginalised or overlooked. This paradigm presents us with an ethical imperative, complex and messy challenges/issues, and a set of ideals (articulated in the United Nations Sustainable Development Goals) that are significantly off track. This paper employs a variation of the Delphi method, drawing on the authors' collective interest and experience in applying SSM in communities, to propose a double-loop learning cycle to explore the underlying assumptions of our worldviews and mental models within communities. We suggest that an SSM learning cycle can be enhanced by initiating conversations on relevant <i>models for sustainability</i> (such as Doughnut Economics, UN SDGs, and the principles for a Circular Economy), to find common ground for triggering new learning. This idea is contextualised and proposed as the <i>value(s)-action gap</i> phenomenon, which can help explain the difference between an individual, an organisation, and/or a community's <i>intention(s)</i> and their actual <i>action(s).</i>In doing so, find common ground, shift to higher levels of systems consciousness from an ego-centric to an ecosystem level of awareness, engage communities, and take an intergenerational perspective. We suggest that incorporating a double-loop learning cycle into SSM can support organisations and their communities in putting shared values into meaningful action.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.