DocumentCode :
704525
Title :
Mental Model Moderation, Modification and Managing (5M) framework a system dynamics and Brunswikian Lens model approach to complex decision making
Author :
Hachem, Wissam E. L. ; Khoury, Joseph ; Harik, Ramy
Author_Institution :
Dept. of Geogr., Univ. of Bergen, Bergen, Norway
fYear :
2015
fDate :
3-5 March 2015
Firstpage :
1
Lastpage :
10
Abstract :
In an effort to bridge the space between operational Decision Making and the business modeling field, a current gap in System Dynamics (or SD) analysis of decision making was tackled. The “perception” element in mental model learning is addressed. Thus, a 3-step Mental Model Moderation, Modification& Managing (5M) framework is conceptualized, developed and applied in a supply chain context. The 5M framework relies on System Dynamics modeling, experiments and the Brunswikian Lens model as its instruments for analysis. The framework was validated by confirming that mental model misperception does exist and that information presentation methods are decisive for performance. The 5M framework can prove useful in training decision makers to opt for the optimal scenario given a set of cues in a complex environment.
Keywords :
computational complexity; decision making; supply chain management; 5M framework; Brunswikian Lens model approach; business modeling; complex decision making; complex environment; information presentation method; mental model learning; mental model misperception; mental model moderation modification and managing framework; operational decision making; perception element; supply chain complexity; system dynamics analysis; Benchmark testing; Cognitive science; Computational modeling; Decision making; Lenses; Mathematical model; Supply chains; Brunswikian Lens Model; Business Modeling; Dynamic Decision Making; Experiments; Mental Models; Supply Chain; System Dynamics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Operations Management (IEOM), 2015 International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-1-4799-6064-4
Type :
conf
DOI :
10.1109/IEOM.2015.7093907
Filename :
7093907
Link To Document :
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