Last week I was facilitating a workshop with a group of very bright and experienced Market Systems Development (MSD) practitioners. As happens so often, at some point we discussed the concept of systemic change. This particular discussion reflected quite well the problem of the wider field of MSD: the group could not agree on how to assess whether a change they instigated has changed the system they are working in. While during most part of the discussion I was in the role of the facilitator and tried to keep my own thoughts out, my passion for the topic made me at some point step out of that role and bring in some of my own thoughts. I’m using this blog post to further clarify my point of view. Indeed, I am making the case that we should finally stop discussing about what systemic change is and move on to focusing on how to measure and communicate about it. In order to be able to do that, I’m suggesting a conceptual understanding of systemic change that I think is quite powerful and that I hope will enable us to put the discussion on what systemic change is to rest.
The discussion we were having last week was around four criteria that the group had decided were essential to assess whether a change was systemic: scale, sustainability, inclusiveness and transformation. Some of the questions the group was discussing on a very high level included whether we need all of these criteria or if we can collapse two into one (transformation into sustainability or the other way around), or whether some are more important than others (scale and sustainability for some, transformation for others). The group was also not clear on their definition of transformation, which is when I stepped out of my role as a facilitator and presented the systems iceberg to define transformative change. For me, change is transformative in a system when it changes the structural level, the constraints that shape the patterns of behaviour (see here for an explanation of the iceberg).
Recently I started a series on the development of a typology of systems change (the two previous articles are here and here). In this post, I want to introduce the concepts of ‘scaling out’, ‘scaling up’ and ‘scaling deep’ developed by scholars of social innovation. I want to link these concepts to my earlier thinking around the systems change typology and update it based on the new insights from this literature. At the end I will also voice a little critique on innovation-focused approaches to systems change.
‘Scaling out’ refers to the most common way of attempting to getting to scale with an innovation: reaching greater numbers by replication and dissemination. ‘Scaling up’ refers to the attempt to change institutions at the level of policy, rules and laws. Finally, ‘scaling deep’ refers to changing relationships, cultural values and beliefs.
Systemic change has been a frequent topic on this blog – as it is in my work. After running after the perfect conceptualisation of systemic change for many years, this post is inspired by my realisation that there may be different ways to look at systemic change – all correct in their own right. I have discussed systemic change with many colleagues and friends and I have always tried to reconcile different views on the concept, only now realising that they might not be reconcilable. So here an attempt of a typology of systemic change (initially differentiating two types) – nothing final, just trying to put my thinking down in writing.
A warning in advance. This article is rather conceptual and I’m introducing some models that might be new to my readers (but then again, I have done that before). I’m trying to sort through recent reading in my mind to better understand the types of systemic change. This should not stop you from reading it of course! I would be happy to discuss this with anybody!
Economic development projects often struggle when it comes to scaling up the impacts of their successful interventions in order to reach a large number of people. Questions about how scaling up is done in a successful way have been asked in connection to various types of development interventions without finding a successful and definitive answer.
More recently, it is often said that scaling up happens quasi automatically or at least with much less effort when the interventions of a project are ‘systemic’. This can happen in economic development projects by actors copying new business models or when new business models in a specific market also benefit connected markets in a positive way. In the Making Markets Work for the Poor (M4P) literature, these phenomena are called breadth and depth of crowding in, respectively. At the same time, the M4P literature acknowledges that crowding in might only in particular cases happen by itself and needs further efforts by the projects, such as for example dissemination of information about the new and successful implementation of business models. It is then anticipated that companies learn about the successes of their peers and will try to imitate them and with that the change will proliferate through the system. Again, it is often stressed that this will only happen if the introduced changes are ‘systemic’. But what does systemic mean in this regard? There are three important aspects at play here. Continue reading →