Soft Systems Thinking – Soft Systems Methodology

The hard system approach, in particular System Dynamics (SD), was, and still is today, very successful in understanding complex problems involving interacting feedback loops. But hard systems thinking, or first-order cybernetics for that matter, is also criticized. Hard systems thinking is about prediction and control. One or more common, shared goals are assumed and by intervening in processes, these goals are achieved as good as possible although trade-offs have to be made in case of conflicting goals. The goals are typically set by those in power. This way of thinking is less suitable for systems in which human’s ideas and feelings matter. Humans differ in ideas about purpose and hold different norms, values and beliefs. Also, the way how to achieve a goal, even if shared, may differ. In short, worldviews may discord or even stronger may be in conflict. SD, or hard systems thinking in general, provide no ways to deal with these issues.

Peter Checkland recognized the problems with hard systems thinking and established a radical shift to soft systems thinking. The result of his shift is Soft Systems Methodology (SSM), which is one of the most practiced systems approaches today. It entails shifting from modeling a real world situation to how people think about the situation. The real world is messy. By assuming that (most) people act purposefully, thinking about the world entails capturing people ideas about purpose and ways to act accordingly.

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Hier wordt aan gewerkt of naar verwezen door: Colophon, Critical Systems Thinking, Foundation, In Conclusion, Uitvoering van het proces