Double-loop learning
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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.
