Strategic Niche Management

First, the articulation of expectations and visions, which gives direction and attracts attention and resources—and which becomes more robust as it grows specific, widely shared, and evidence-backed. Second, the building of social networks, which mobilise resources and legitimacy and ideally become broad (many kinds of actor, including regime players) and deep (substantive commitment). Third, learning processes, especially second-order learning that questions underlying assumptions rather than merely optimising the technology. Niches that develop all three in a reinforcing way are most likely to grow.

They are closely related and grew up together. The MLP supplies the broad map of niche, regime, and landscape and explains transitions as multi-level interaction. SNM zooms into the niche level and specifies the internal processes by which a protected innovation matures and gathers the momentum needed to challenge the regime. In practice analysts often use the MLP for the system-level diagnosis and SNM for the close-up of the experiments.

Protection lets an immature innovation survive while it improves, builds networks, and accumulates learning. But an innovation that never leaves the greenhouse never proves it can withstand real selection pressures—cost competition, regulation, user scrutiny. The aim of SNM is a managed trajectory in which shielding is gradually relaxed as the niche matures, so the innovation can stand on its own and begin to reshape or replace the incumbent regime.