Single-Loop and Double-Loop Models in Research on Decision Making
Author(s) -
Chris Argyris
Publication year - 1976
Publication title -
administrative science quarterly
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 15.098
H-Index - 181
eISSN - 1930-3815
pISSN - 0001-8392
DOI - 10.2307/2391848
Subject(s) - double loop , loop (graph theory) , action (physics) , process (computing) , feedback loop , action research , human in the loop , decision theory , control theory (sociology) , computer science , physics , process management , management , control (management) , mathematics , economics , artificial intelligence , engineering , microeconomics , computer security , combinatorics , quantum mechanics , operating system
September 1 976, volu me 21 Some current research and theory on organizational decision making from the political science literature is examined, in which the potential role of learning and feedback in the decision-making process is largely ignored. An espoused theory of action based on single-loop learning is found to be the most general model of action. A double-loop model is proposed as providing feedback and more effective decision making.
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