This page presents a high-level conceptual framing from my research and practice: ecosystems can be understood as dynamic systems of interdependence, resource circulation, and co-evolution. That perspective helps explain why some innovation ecosystems mature—and why others reproduce the appearance of maturity without reproducing performance.
Ecosystems are the continuous circulation of resources within and across boundaries relevant to supporting emergent synergies, balance, and resilience.
In ecology, ecosystems are interdependent and co-evolving constructs, trending toward a dynamic equilibrium between diverse actors occupying complementary niches.
In venture capital and innovation, analogous ecosystem dynamics can be observed through co-evolving interrelationships among many diverse stakeholders—such as new technology pioneers, investors, service providers, accelerators, universities, corporations, government, and markets.
If innovation ecosystems are treated only as collections of isolated actors, we miss the co-evolutionary processes through which trust, capability, and performance are actually produced.
Both ecological and innovation ecosystems depend on the quality, direction, and continuity of flows—whether nutrients, information, expertise, or capital.
System performance depends on distinct actors performing different roles well and connecting effectively with one another.
Maturity is reflected not just in growth, but in a system’s ability to absorb shocks, adapt, and continue creating value.
The graphic below presents a mature innovation ecosystem as a broad set of co-evolving stakeholders connected through an ecosystem marketplace. In mature systems, founders remain central—but they are not the sole focus. The surrounding support and delivery infrastructure is deeper, more specialized, and more interconnected.
Emerging ecosystems often try to imitate the visible structures of more mature ecosystems, but without reproducing the historically contingent, relational, and co-evolutionary processes that made those structures productive. The result is selective institutional mimicry: attention and support concentrate on only a subset of stakeholders, while crucial roles remain underdeveloped.
Neglecting the historically contingent, relational, and co-evolutionary processes through which institutional elements acquired their productive function can lead to ecosystem isomorphism—mimicking structure without reproducing performance.
Leaving wide structural gaps in the innovation delivery system.
This comparison suggests that ecosystem development is not simply about copying visible institutions. It is about enabling co-evolution: building the capabilities, trust, repeated interactions, and supporting roles that allow an innovation system to become more balanced, more resilient, and more responsive over time.
Better ecosystems improve access to expertise, capital, and pathways for growth.
Stronger intermediary and service capabilities reduce friction and improve system-wide performance.
Ecosystem-building should strengthen missing relationships and underdeveloped roles—not just replicate visible structures.