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Modeling for Implementation: an Illusion of Control?

Modeling for Implementation: an Illusion of Control?

by | Feb 18, 2021

Every so often, I see someone in our field drawing attention to the fact that many client-based system dynamics modeling projects do not lead to effective implementation of their findings, and they wonder what can be done to fix this problem.  This is not a new idea, but rather one that has been expressed for more than 40 years.

The first important example was Ed Roberts’ 1977 paper, “Strategies for effective implementation of complex corporate models”, which advocated extensive client involvement, substantive real-world detail and metrics in the model, actionable findings, and supporting the client team into the implementation phase. 

Thirty years later, in 2007, came an even more assertive article from Andreas Grössler, “System dynamics projects that failed to make an impact” (System Dynamics Review 23:4). Grössler argues that System Dynamics projects should be viewed as nothing less than organizational interventions, involving both analysis and action planning. He asks for more research to be done on how modeling can be smoothly integrated into large-scale organizational change efforts.  

Jorgen Randers later amplified this message in his 2019 paper, “The great challenge for system dynamics on the path forward: implementation and real impact” (System Dynamics Review 35:1). Randers says that we need to focus much more on the question of implementation and to develop an effective implementation methodology to stand alongside our modeling methodology.

These are important thoughts on implementation, and I do not doubt the authors when they point to cases of successful implementation as evidence that we can do better.  I must confess, however, that I get uncomfortable when someone speaks of modeling as merely the lead-in to the broader task of organizational change.  I ask myself, “Have I not set my sights high enough?  Why can I not see beyond today’s modeling to the more profound organizational reverberations to follow?”  

But this is silly. Over more than 30 years of private and public sector consulting (often side by side with major-league consulting firms), I have never witnessed profound organizational change happening, not even with longtime clients. I have never expected that any of my models would lead to a cascading change of organizational structure or culture. I really only expect to complete a high-quality model that the client finds useful and clear.

Why would I expect more than that? What ends up happening after the model is completed is largely out of my hands.  I was not trained in organizational intervention, and even those who do claim expertise have a mixed track record.

I have decided that it is sufficient to do a good job of System Dynamics modeling for the client without any particular expectation of implementation afterward. Developing a useful model takes all of my attention. Neither the client nor I can know with certainty what the next step will be after the current modeling project is complete, nor in fact whether this work will continue to be supported by the organization.

So, to answer the question in this blog’s title—yes, I would say that a System Dynamics modeler who believes he or she knows how to maximize the chances of implementation is under an illusion of control. Changing an organization is an incredibly difficult undertaking, and it seems presumptuous to think that one’s modeling skills extend into social engineering or executive leadership. 

I plan to stick with my only real skill set, which is modeling for clients, and to keep trying to do a better job of it. The only way I “model for implementation” is by satisfying the client and putting them in a position to take a more confident next step, whatever it may be.

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Jack Homer
Jack Homer

Homer Consulting; System Dynamics Society VP Professional Practice
Dr. Jack Homer is a management consultant and expert in System Dynamics (SD) simulation modeling. His models assist organizations looking for a formal yet flexible approach to strategic planning and policy design.