What Lies Beneath the Surface of Your Organization: Structural Dynamics?
As the officers, seamen and passengers of the Titanic came to understand, it is not what you can see that gets you but what is below the visible surface. Visualizing the unseen remains a continuing challenge.
The current president of the United States is by many accounts the most unlikely political victor. He is not from the ‘industry’ and has limited experience in this field of endeavor. None-the-less, he holds the office.
The results of the US presidential election of 2016 is the subject of innumerable discussions. Most center around the performance of his opponent and missed opportunities by the opposing party. This pundit argues that neither of these are the prime reason for his election.
Almost 30 years ago this writer was a member of the Leadership Team for a major publicly traded company. Multiple reorganizations and the advice of numerous consulting firms did not enhance our position in a difficult market.
Something we did not understand was at work. Why couldn’t those with decades of managerial/industry experience and all the experts fathom the forces at work? Unless, we could no action taken would be effective.
What are Structural Dynamics?
During this period, management theories abounded. Examples included The New Realities by Drucker, The Fifth Discipline by Senge and Economic Value Added (EVA) to name a few. None seemed to be able to help us understand the latent forces that eluded us.
As part of the doctoral dissertation, assessing cross cultural negotiations and the relationship between human Relationships, Behaviors, and Conditions (RBC) we enhanced existing theory into an actionable methodology, Structural Dynamics.
The fundamental premise upon which the theory of Structural Dynamics is developed is the belief that structures are not static and that more often than not, these dynamics are not directly observable.
Over time, the very nature of the structure and the very nature of the component parts of the structure may be radically different from today’s composition.
In other words, Structural Dynamics is defined as “the morphology or patterns of motion towards process equilibrium of interpersonal systems.” While this sounds academic, the implementation is straightforward. Think of this as an iceberg.
The Iceberg Principle—90% of any system’s structure is below the surface or hidden from direct observation. This latent component controls all the processes associated with the system.
While there is a quantitative aspect to Structural Dynamics, analysts can use this qualitative approach. There is plenty of information available; however, it can be challenging to shift through it and separate actionable data from noise.
For example, while it was evident for all to see most prognosticators wrote off the Trump rallies and the size of the crowds. Similarly, Xerox had most of the technology for today’s PC, but it took Apple and others to realize the value.
Think these are remote and one-off events? Only 60 companies that were members of the Fortune 500 in 1955 were still members in 2017.[i] Some mergers for sure, but why did the others not see the waves that swept them away? Sears is a recent example.
Structural Dynamics analysts can use the following checklist as guidelines. This list is not all-inclusive, nor is it meant to be a list that one simply puts a check mark next to and tallies up the number of checks versus not check.
It is more accurately a framework for developing a Structural Dynamics model for any given industry environment. The following criteria provide a preliminary checklist of set of questions that should be addressed when one seeks a better understanding of the latent variables associated with an industry segment or emerging environment, such as new technologies.
- Not obvious or normally thought of as industry driver
- Usually not directly related to standard industry practices
- Becomes more visible over time or repeated measurement
- Often not specific to a single industry or economy
- Cannot be determined by analysis of best practices
- Typically, not associated with a single or few number of processes
- Not associated with processes in a single firm
- Can be cyclical or seasonal in nature
- Not necessarily random or chaotic events in nature
- Not necessarily economic variables in nature
- Tend to be long term variables with limited reaction to specific current events
- Can remain dormant for long periods of time, but when they become visible the impact can be significant and swift
- Demographics may provide insight into emerging or future Structural Dynamics, they should not be used exclusively
- Often small niche (or new) players may benefit from Structural Dynamics These niches are often outside of the industry of interest, but are subsequently imported into the industry of interest
- Technological developments may forecast future competitive events, i.e., the impact of cellular phones on the pay phone industry
- Not all technology is useful in the near term. The technology developed by Xerox, Palo Alto in the 1960s was not commercialized for almost 20 years.
Computer icon and windows technology was not commercially viable until Steve Jobs (founder of Apple Computer), and Bill Gates (Microsoft) expanded hobbyist’s niches into the personal computer revolution of the 1980s.
Knowledge of Structural Dynamics variables can defeat the brute force of large deep-pockets organization, although this is not guaranteed. As this construct evolves, we expect to develop a more robust set of tools, so managers and other practitioners will be better able to visualize their Structural Dynamics environment. In the meantime, it is useful to define latent variables.
Latent Variables Are impacting Your Organization. What Will You Do About it?
For More Information
Much of this blog is taken from our monograph, Structural Dynamics: Foundation of Next Generation Management Science. The Kindle version is available from Amazon https://www.amazon.com/gp/product/B00U0JKMT0/ref=dbs_a_def_rwt_bibl_vppi_i1
Command and Control: Is this the Way to Run the modern Railroad?
Critical Mass: Value from the RBC Framework
Nuclear physicists define the term, “critical mass” as the amount of fissile material whereby a nuclear reaction is self-sustaining. From that original definition, the construct is further developed along societal and political terms as a function of the environment and number of adopters and their interdependencies that create enough of a consensus for individual actions that sustains an undertaking.
In 1996, the author published the first of several case studies on a societal interaction model based on the Relationships, Behavior and Conditions (RBC) construct among economic actors. Previously the model was only in the domain of academia.
This blog addresses contemporary issues from the RBC perspective and whether in the present state they are sustainable or not. Many readers may be familiar with the “Innovation Adoption Curve.” RBC seeks to enlighten the causality of behaviors that cause movement towards the critical mass that generates movement along this diffusion curve.
Other Blogs Dr. Shemwell Authors
Dr. Shemwell is an author for the following 3rd party blogs.
Governing Energy Blog
BTOES Insights is the content portal for Business Transformation & Operational Excellence opinions, reports & news. Dr. Shemwell is a contributor.
Consult 2050 connects organizations with a wide range of consultants all around the world. The firm operates an online marketplace for consultancy services.
About the Author
Dr. Scott M. Shemwell has over 30 years technical and executive management experience primarily in the energy sector. He is the author of six books and has written extensively about the field of operations. Shemwell is the Managing Director of The Rapid Response Institute, a firm that focuses on providing its customers with solutions enabling Operational Excellence and regulatory compliance management. He has studied cultural interactions for more than 30 years—his dissertation; Cross Cultural Negotiations Between Japanese and American Businessmen: A Systems Analysis (Exploratory Study) is an early peer reviewed manuscript addressing the systemic structure of societal relationships.