Growth and Underinvestment Archetype

A Growth and Underinvestment structure is simply an elaborated Limits to Growth structure where the growth inhibitor is part of another Balancing Loop with an external standard and some delay. The real nasty thing about this structure is that the two Balancing Loops form a single Reinforcing Loop which inhibits growth. There is a also a video for this insight which is a component of the Systems Archetypes Course.

A Growth and Underinvestment structure is simply an elaborated Limits to Growth structure where the growth inhibitor is part of another Balancing Loop with an external standard and some delay. The real nasty thing about this structure is that the two Balancing Loops form a single Reinforcing Loop which inhibits growth. There is a also a video for this insight which is a component of the Systems Archetypes Course.

This structure begins as a standard Limits to Growth structure where the growth of R1 is, after some delay, limited by B2. Though inhibiting the [growth inhibitor] has a twist to it.
The twist is that as the [growth inhibitor] interacts with some [standard] there develops a [perceived need] though it takes a considerable amount of time to develop the [inhibitor avoidance] which would negate the [growth inhibitor].
The part of this which makes it typically very annoying is that the [growth] is a time critical opportunity and by the time [inhibitor avoidance] is developed to offset the [growth inhibitor] the opportunity has been missed.
By this time looking at the simulation version of a causal loop should be 2nd nature. [action factor], [need factor] and [inhibitor factor] were added to be able to readily test various influences on the flows. [Inhibitor Avoidance] is a stock as it is something that takes time to accumulate during the period of the simulation.
With [inhibitor factor] = 0 and [need factor] = 0 this is simply a reinforcing structure with no [growth inhibitor]. [action factor] is simply a factor between 0 and 1 to govern the rate of growth.
With [inhibitor factor] = .25 a [growth inhibitor] is introduced making the result less than it was in the previous run. With [need factor] = 0 [Inhibitor Avoidance] doesn't come into play.
With [need factor] = 1 and [standard = 0.1] as soon as a [growth inhibitor] is sensed [Inhibitor Avoidance] begins to develop. The problem is that because of the time it takes to build [Inhibitor Avoidance] the [Result] is limited by the [growth inhibitor] as [Inhibitor Avoidance] develops.
Strategy: With a realization that the [growth inhibitor] will come into play and the length of time it will take to develop [Inhibitor Avoidance] one should be proactive and develop [Inhibitor Avoidance] before it's even needed thus improving the results. The alternative is the potential for a missed opportunity.
You are encouraged to engage with the model by changing parameters in the Configuration Panel on the right and Simulate the model until you feel you have a comfortable feeling about the implications of the relationships.

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