Environment, Business, and Health Care Prevail: A Comprehensive, Systematic Review of System Dynamics Application Domains

System dynamics, as a methodology for analyzing and understanding various types of systems, has been applied in research for several decades. We undertook a review to identify the latest application domains and map the realm of system dynamics. The systematic review was conducted according to the PRISMA methodology. We analyzed and categorized 212 articles and found that the vast majority of studies belong to the fields of business administration, health, and environmental research. Altogether, 20 groups of modeling and simulation topics can be recognized. System dynamics is occasionally supported by other modeling methodologies such as the agent-based modeling approach. There are issues related to published studies mostly associated with testing of validity and reasonability of models, leading to the development of predictions that are not grounded in verified models. This study contributes to the development of system dynamics as a methodology that can offer new ideas, highlight limitations, or provide analogies for further research in various research disciplines.

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Agent-based Modeling and Simulation Software Architecture for Health Care

Proceedings of the 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications ◽

10.5220/0005972600890100 ◽

2016 ◽

Cited By ~ 2

Author(s):

Karam Mustapha ◽

Jean-Marc Frayret

Keyword(s):

Health Care ◽

Modeling And Simulation ◽

Software Architecture ◽

Simulation Software ◽

Agent Based Modeling ◽

Agent Based

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Combating Malaria

Application of Agents and Intelligent Information Technologies - Advances in Intelligent Information Technologies ◽

10.4018/978-1-59904-265-7.ch004 ◽

2011 ◽

pp. 66-86

Author(s):

Narjès Bellamine-BenSaoud ◽

Fatima Rateb

Keyword(s):

Health Care ◽

Modeling And Simulation ◽

Complexity Theory ◽

Positive Impact ◽

Agent Based Modeling ◽

Agent Based ◽

Human Actors ◽

Cyclic Fluctuation ◽

The Impact

In this chapter, we investigate how complexity theory and more particularly how agent-based modeling and simulation can benefit the explanation of the impact of education on malaria health care in Haiti. Our model includes: (1) the environment, encompassing mainly cities, roads, hospitals and schools; (2) the agents, modeling the human actors, who can be safe or infected by malaria disease according to their location in the environment; and (3) a modelled agent can also be mobile or not, can reproduce, and can die. We run four kinds of experiments over a 50-year period each. Our main emerging results are growing total agent, susceptible, and immune populations in a “cyclic” fluctuation form. Furthermore, we confirm the positive impact of both education and hospitals in combating malaria disease.

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DIFFUSION OF INNOVATION WITHIN AN AGENT-BASED MODEL: SPINSONS, INDEPENDENCE AND ADVERTISING

Advances in Complex Systems ◽

10.1142/s0219525914500040 ◽

2014 ◽

Vol 17 (01) ◽

pp. 1450004 ◽

Cited By ~ 13

Author(s):

PIOTR PRZYBYŁA ◽

KATARZYNA SZNAJD-WERON ◽

RAFAŁ WERON

Keyword(s):

Diffusion Of Innovation ◽

Diffusion Models ◽

Agent Based Modeling ◽

Voter Model ◽

Bass Model ◽

Two Dimensional ◽

Agent Based Model ◽

Agent Based ◽

Modeling Approach ◽

New Ideas

In this paper, we modify a two-dimensional variant of a two-state nonlinear voter model and apply it to understand how new ideas, products or behaviors spread throughout the society in time. In particular, we want to find answers to two important questions in the field of diffusion of innovation: Why does the diffusion of innovation take sometimes so long? and Why does it fail so often? Because these kind of questions cannot be answered within classical aggregate diffusion models, like the Bass model, we use an agent-based modeling approach.

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