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Organizations must update their schemas as the environment changes — but most fail to do so until a crisis forces the update. The same mechanisms that make schemas useful (they simplify decision-making by filtering information) make them resistant to change (they filter out the very information that would reveal their obsolescence). Deliberate schema evolution requires practices that counteract this natural resistance.
An organization that cannot update its schemas in response to feedback is dying — it is operating from an increasingly inaccurate model of reality. Organizational learning is the process through which the organization revises its shared mental models based on experience. Single-loop learning adjusts actions within existing schemas. Double-loop learning revises the schemas themselves. Only double-loop learning produces genuine organizational adaptation.
Organizations that cannot change their systems cannot adapt to changing environments. Evolution is not a metaphor for organizational change — it is the mechanism. Biological organisms evolve by modifying the systems (genetic, developmental, behavioral) that produce their characteristics. Organizations evolve by modifying the systems (structural, cultural, operational) that produce their outcomes. The organization that has mastered systemic change — that can identify its systems, find their leverage points, redesign their structures, and sustain the changes — has acquired the meta-capability that makes all other capabilities possible: the ability to become what the environment requires.