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What is Causal Loop Diagram

Handbook of Research on Discrete Event Simulation Environments: Technologies and Applications
Causal loop diagrams (CLDs) are a kind of systems thinking tool. These diagrams consist of arrows connecting variables (things that change over time) in a way that shows how one variable affects another
Published in Chapter:
Modelling a Small Firm in Jordan Using System Dynamics
Raed M. Al-Qirem (Al-Zaytoonah University of Jordan, Jordan) and Saad G. Yaseen (Al-Zaytoonah University of Jordan, Jordan)
DOI: 10.4018/978-1-60566-774-4.ch021
Abstract
The Jordanian banks and the risk analysts in particularly are seeking to adapt and buy new analytical techniques and information systems that help in identifying, monitoring and analysing the credit risk especially for the small firms that represents the biggest firms’ base in the Jordanian markets. This chapter supports that what analysts need is a thinking tool that allow the user to simulate, understand and control different policies or strategies. It will then enable better decision to be made. A simulator based on system dynamics methodology is the thinking tool produced by this chapter. The system dynamics methodology allows the bank to test “What If” scenarios based on a model which captures the behaviour of the real system over time. The objectives of this chapter is to introduce new performance measures using systems thinking paradigm that can be used by the Jordanian banks to assess the credit worthiness of firms applying for credit.
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Bolstering Healthcare in an Orthopaedic Ward: A Call for a System Dynamics and Participatory Action Approach
These are visual representations of key variables and how they are interconnected. CLDs link variables by illustrating critical causal relationships with relevant polarities to illustrate patterns of cause and effect from a systems vantage point.
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Examining the Effects of Mucilage in the Marmara Sea on Fisheries, Tourism, and Maritime Transportation via the System Dynamics Approach
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The Potential of System Dynamics to Model Patient-Aided Healthcare
In system dynamics modelling, they are closed causal chains involving relevant variables, whose interactions are responsible for the patterns of behavior taking place within a certain system.
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