Systemic problems in enterprises typically involve multiple goals, conflicts and many possible actions that could be considered to resolve them. They would fall in the complex category if we will use the Cynefin framework. The number of interacting sub systems and their interactions are typically so large that it’s almost impossible to draw a cause […]
An attempt to see #agile from the context of #complexity theory and why compromising on the basics won’t help us be agile. A good understanding of #complexity theory and application would help to have a robust agile implementation.
We talked about how large IT projects qualify as complex adaptive systems in part 1. Appreciating our systems, acknowledging and understanding that these are systems in the complex problem domain is the first big step in coming up with the right solutions. The insights and research tell us one thing loud and clear – trying […]
Complexity science is a scientific study of complex systems, systems with many parts such that the behavior of the system cannot be easily explained by describing or studying the interactions between the parts. Examples of complex systems include cities, businesses, network systems, an ant colony, a flock of birds flying together and of course large […]