12.9K views | +5 today
People working together to make things better
Curated by David Hain
Your new post is loading...
Rescooped by David Hain from Complex systems and projects!

Complexity Theory Basic Concepts

A summary of key complexity theory concepts. (Complexity theory background

Via Christophe Bredillet, Philippe Vallat
No comment yet.
Rescooped by David Hain from LeadershipABC!

Our Self-Inflicted Complexity

Our Self-Inflicted Complexity | Collaborationweb |

Our ability to make progress against large-scale problems requires that we figure out how to tackle inter-domain complexity writes Roger Martin. The HBR blog post is part of a series of perspectives on complexity leading up to this year's Global Drucker Forum. 

Via Kenneth Mikkelsen
David Hain's insight:

Good blog and great suggestions from Kenneth.  Figuring this out and socialising the skills is a great 21st Century challenge!

Kenneth Mikkelsen's curator insight, September 6, 2013 7:24 PM

The series of perspectives on complexity can be found here: 

If you don't hold a subscription to HBR you can also find the articles (free access) via the Drucker Forum blog here

luiy's curator insight, January 17, 2014 9:29 AM

My own clan — the economists — is particularly inclined in this direction. There are a thousand economists working on partial equilibrium problems for every one working on a general equilibrium problem. This is despite the fact that no one would contest that general equilibrium clarity is the most valuable knowledge by far. Why? Because it is really difficult to specify any general equilibrium cause-and-effect relationships.


Instead, most of the guns deployed in modern knowledge advancement are aimed at narrow problems for which the cause-and-effect relationship is specified with the famous “all other things being equal” proviso. Each narrow knowledge domain develops analytical tool-sets that deepen the narrow knowledge domain. Each narrow domain develops ever more algorithmic knowledge, and those developing the knowledge are extremely confident that they are right because they are so specialized within their own domain. The liver expert is completely confident that he or she is correct even if it is the interaction with another condition that threatens your health most.

This approach has created another kind of complexity: inter-domain complexity. Every field is segmented into multiple domains, each with deep algorithmic knowledge, specialized tools, and experts in the domain who think they are absolutely right. And they are indeed right, as long as we ignore the reality of detail complexity.

Curated by David Hain
People and Change consultant, 25 years experience in Organisation Development. Executive coach. Very experienced facilitator and team developer.