Double-loop learning: Difference between revisions

Revision as of 21:42, 30 March 2016

Revision as of 06:43, 31 March 2016

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Double-loop learning is used when it is necessary to change the mental model on which a decision depends. Unlike single loops, this model includes a shift in understanding, from simple and static to broader and more dynamic, such as taking into account the changes in the surroundings and the need for expression changes in mental models.<ref>{{cite book |author=Mildeova, S., Vojtko V. |title=Systémová dynamika |year=2003 |isbn=80-245-0626-2 |publisher=Oeconomica |___location=Prague |pages=19–24 |language=Czech}}</ref>

''The[[A BehaviouralBehavioral Theory of the Firm]]'' describes how organizations learn, using (what would now be described as) double-loop learning:

{{Quote|text=An organization ... changes its behavior in response to short-run feedback from the environment according to some fairly well-defined rules. It changes rules in response to longer-run feedback according to more general rules, and so on.|author=R.M.[[Richard Cyert]] and J.[[James G. March]]| source=''TheA Behavioural Theory of the Firm''<ref>{{cite book |author=Cyert R.M., March J.G |title=''The[[A Behavioral Theory of the Firm]] |year=1963 |publisher=Prentice-Hall |___location=New Jersey |pages=101-102}}</ref><ref>Quote taken from p. 9 of ''The Blackwell Handbook of Organizational Learning and Knowledge Managment'' (2003) which describes this quote as "an early version of the distinction between single and double-loop learning." and refers to the 1963 edition.</ref>}}

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