From hierarchy to heterarchy: rethinking power in complex organisations
The most complex system we know, the human brain, is not organised like a decision-making pyramid: cognitive functions emerge from the dynamic interaction of distributed networks, which take on different roles depending on the task, the context, the conditions. An excellent model for good management
We have always treated the hierarchy as a dogma, an obvious, almost natural truth. Organisations 'work' if someone is above and someone below, if decisions go up and instructions come down, if control is centralised and responsibility clearly allocated. In management, hierarchy is not just an organisational model: it has become an implicit belief, rarely questioned.
This belief is often justified by appealing to the 'nature of things'. But if we look closely at natural systems, the first example that should make us doubt this is the human brain. The most complex system we know is not organised like a decision-making pyramid. There is no one area that always commands the others. Cognitive functions emerge from the dynamic interaction of distributed networks, which assume different roles depending on the task, the context, the conditions. Authority is local, temporary, reversible. In other words: the brain functions heterarchically and self-organising.
If the most sophisticated system ever produced by evolution does not rely on a stable chain of command, why do we continue to think that human organisations can only function like this?
We live today in an environment marked by structural uncertainty, growing interdependence, technological acceleration and continuous transformation. The problems that organisations face are no longer simply complicated, but complex: they cannot be broken down, they do not have optimal solutions, they cannot be solved once and for all. In these contexts, the idea that a top management can gather the relevant information, interpret it correctly and decide for everyone is, at best, naïve; at worst, a strategic risk.
Hierarchy works when the world is relatively stable and cause-effect relationships are clear. But in complex contexts it often produces decision-making delays, oversimplifications and loss of contact with operational reality. Weak signals - those that anticipate change - rarely reach the top in time. And when they do arrive, they have often already been filtered out, normalised, rendered harmless.


