Double-loop learning

Double-loop learning is consists of a first loop of learning that checks performance against expected norms and adjusts where necessary, coupled with a second loop that reappraises whether the expected norms were appropriate in the first place. See also Learning-based strategy.

Definitions

According to the Corporate Strategy by Lynch (4th edition),

Double-loop learning. Consists of a first loop of learning that checks performance against expected norms and adjusts where necessary, coupled with a second loop that reappraises whether the expected norms were appropriate in the first place. See also Learning-based strategy.