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A framework for using Theory of Constraints thinking processes and tools to complement qualitative system dynamics modelling System Dynamics Review (IF 3.04) Pub Date : 2024-03-14 Victoria J. Mabin, Robert Y. Cavana
While the tools currently used for qualitative system dynamics (Qual SD) modelling are very powerful in providing a holistic perspective and a framework for understanding complexity and change, they are often not explicitly designed to build and implement long‐term solutions based on that understanding. The Theory of Constraints (TOC) thinking processes and tools focus on these important aspects of
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History of the Beer Game System Dynamics Review (IF 3.04) Pub Date : 2024-02-22 Ignacio J. Martinez-Moyano
This article describes the history of the Beer Game. By triangulating information from literature, archival analysis, and interviews with experts in the field, the main changes in the game over its almost 70-year history are identified. The article discusses three aspects of the game: 1) its structure (phases of its history, stocks and flows, parameters, etc.); 2) the process for playing the game;
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Participatory modeling for high complexity, multi‐system issues: challenges and recommendations for balancing qualitative understanding and quantitative questions System Dynamics Review (IF 3.04) Pub Date : 2024-02-23 Arielle R. Deutsch, Leah Frerichs, Madeleine Perry, Mohammad S. Jalali
Community stakeholder participation can be incredibly valuable for the qualitative model development process. However, modelers often encounter challenges for participatory modeling projects focusing on high‐complexity, synergistic interactions between multiple issues, systems, and granularity. The diverse stakeholder perspectives and volumes of information necessary for developing such models can
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What is (quantitative) system dynamics modeling? Defining characteristics and the opportunities they create System Dynamics Review (IF 3.04) Pub Date : 2024-02-05 Asmeret Naugle, Saeed Langarudi, Timothy Clancy
A clear definition of system dynamics modeling can provide shared understanding and clarify the impact of the field. We introduce a set of characteristics that define quantitative system dynamics, selected to capture core philosophy, describe theoretical and practical principles, and apply to historical work but be flexible enough to remain relevant as the field progresses. The defining characteristics
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Uncovering the unknown with REMODEAL: A systematic method for reference mode elicitation System Dynamics Review (IF 3.04) Pub Date : 2024-01-24 Christine Tang, Raafat Zaini, Saeed P. Langarudi
Reference modes aid in focusing modeling efforts and defining the problem to study. When faced with scarce or no data, modelers must elicit reference modes of dynamic behavior from participants. There is a lack of a systematic, scalable, rigorous and reliable method to capture and consolidate the qualitative and quantitative components of behavior-over-time graphs. The REference MOde DEvelopment ALgorithm
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Descriptive design structure matrices for improved system dynamics qualitative modeling System Dynamics Review (IF 3.04) Pub Date : 2024-01-18 Rameez R. Qureshi, David N. Ford, Charles M. Wolf
Qualitative modeling approaches can be useful in system information collection, model analysis, and formal model development. This is difficult when the number of elements and their interactions in the system is large. System dynamicists need additional tools and methods to conceptually model these large tightly coupled systems. We propose and test the Descriptive Design Structure Matrix (DDSM) as
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A comparison of loop dominance methods: measures and meaning System Dynamics Review (IF 3.04) Pub Date : 2024-01-07 John Hayward, Paul A. Roach
Introduction The behaviour of a system dynamics model is determined by its structure expressed in its stocks, flows, and feedback loops. The latter are especially important as they represent endogeneity in the system and provide intuitive explanations of behaviour. Further, knowing which loops are influential can help determine suitable interventions for system change. Several methods have been developed
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Generative agent-based modeling: an introduction and tutorial System Dynamics Review (IF 3.04) Pub Date : 2024-01-10 Navid Ghaffarzadegan, Aritra Majumdar, Ross Williams, Niyousha Hosseinichimeh
We discuss the emerging new opportunity for building feedback-rich computational models of social systems using generative artificial intelligence. Referred to as generative agent-based models (GABMs), such individual-level models utilize large language models to represent human decision-making in social settings. We provide a GABM case in which human behavior can be incorporated into simulation models
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Techniques to enhance the public policy impact of qualitative system dynamics models System Dynamics Review (IF 3.04) Pub Date : 2023-12-26 G.A. (Guido) Veldhuis, E.M. (Eefje) Smits-Clijsen, R.P.M. (Rob) van Waas
This article demonstrates techniques to enhance the public policy impact of qualitative system dynamics models. We focus on the effective use of a large causal loop diagram (CLD) to explore a multifaceted problem situation. We discuss the conditions that can lead to developing a large CLD, the challenges this presents, and techniques that can be used to overcome them. Several techniques are discussed
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Using causal loop diagrams to develop evaluative research propositions: opportunities and challenges in applications to nature-based solutions System Dynamics Review (IF 3.04) Pub Date : 2023-12-12 Miriam Alvarado, Jo Garrett, James Fullam, Rebecca Lovell, Cornelia Guell, Tim Taylor, Ruth Garside, Marianne Zandersen, Benedict W. Wheeler
Causal loop diagrams (CLDs) are often used to provide an overview of important systemic elements related to an issue, rather than to inform empirical evaluations (studies which assess changes following an intervention using observed data). We suggest that empirical evaluations may benefit from the development of systems-informed research propositions (specific testable causal assumptions with an emphasis
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Ethical considerations of using system dynamics in participatory settings: a social-ecological-systems perspective System Dynamics Review (IF 3.04) Pub Date : 2023-11-29 Henry Amorocho-Daza, Pieter van der Zaag, Janez Sušnik
The social-ecological systems (SES) approach elicits a broad understanding of some of the most pressing socionatural challenges (e.g. resource scarcity, biodiversity loss, and climate change) and the responsibility that humans have in addressing them. System dynamics has proven a powerful paradigm for dealing with complex SES-related issues. Here we discuss some ethical considerations of using system
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Measuring the change in behavior of a system with a single metric System Dynamics Review (IF 3.04) Pub Date : 2023-11-22 William Schoenberg, Robert Eberlein, Pål Davidsen
Loops that Matter (LTM) provides a practical and comprehensive way to understand which feedback loops are driving model behavior at different points in time. LTM describes from which loops the observed change in behavior across all stocks in the model originate. In this paper we present a method to measure the magnitude of the change in behavior of all stocks in the model based on net flow values,
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Strengthening a weak link: transparency of causal loop diagrams — current state and recommendations System Dynamics Review (IF 3.04) Pub Date : 2023-11-12 Mohammad S. Jalali, Elizabeth Beaulieu
Transparency is a critical aspect of systems science. While transparency of quantitative models has been assessed, transparency of their qualitative structures has been less scrutinized. We assess the transparency of causal loop diagrams (CLDs), a key qualitative visualization tool in system dynamics. We evaluate System Dynamics Review (SDR) publications and a sample of most-cited comparable articles
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Capturing the science behind the craft: a reporting framework to improve quality and confidence in nonsimulated models System Dynamics Review (IF 3.04) Pub Date : 2023-11-07 Benjamin L. Turner, Michael Goodman
Qualitative nonsimulated models (causal loop diagrams, stock-flow diagrams, or hybrids of both) have been used since within a decade after the inception of system dynamics (SD). In this article, we assert that the well-known weaknesses of nonsimulated models need to be balanced against the contexts, purposes, and strengths that nonsimulated models provide. We propose a framework consisting of a set
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Root causes of radicalization: the terror-contagion hypothesis System Dynamics Review (IF 3.04) Pub Date : 2023-10-16 Timothy Clancy, Bland Addison, Oleg Pavlov, Khalid Saeed
What are the root causes of mass violence terrorism? Examining this question led to a novel hypothesis that violent radicalization leading to terrorism operates as a system of social contagion. A terror contagion exploits existing grievances and moral outrage well suited for radicalizing within a high-risk population. After a terrorist incident, media broadcasts of cultural scripts convey both a template
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Analysis of dynamic models by optimization System Dynamics Review (IF 3.04) Pub Date : 2023-10-01 Erling Moxnes, Sergey Naumov
Decision-makers use system dynamics models to understand how model structure causes problematic behaviors, and how the structure should be changed to improve performance. However, understanding problem behavior and designing policies can be complicated without analytical tools. Existing methods focus on feedback loops that drive dynamic behavior. We propose a new method, Analysis of Dynamic Models
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Feedback dynamics of the low-income rental housing market: exploring policy responses to COVID-19 System Dynamics Review (IF 3.04) Pub Date : 2023-09-20 Katherine E. Marçal, Patrick J. Fowler, Peter S. Hovmand
The economic impact of COVID-19 threatened mass housing insecurity undermining the health and financial recovery from the pandemic. Unprecedented federal policy responses halted court-ordered evictions and injected billions of dollars in rental assistance, but questions remain whether housing interventions adequately accounted for dynamics that drive landlord-tenant interactions, including accumulations
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Dynamics of interdisciplinarity: a microlevel analysis of communication and facilitation in a group model-building workshop System Dynamics Review (IF 3.04) Pub Date : 2023-09-15 Nici Zimmermann, Katherine Curran
Participatory system dynamics is assumed to generate inter- and transdisciplinary understanding and whole-system perspectives via scripted workshop structure, facilitation, and the use of visual boundary objects. However, there is little research into how exactly workshop activities and facilitators affect communication dynamics during a workshop and create an interdisciplinary perspective. Thus, we
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Constructing causal loop diagrams from large interview data sets System Dynamics Review (IF 3.04) Pub Date : 2023-09-12 Pablo Newberry, Neil Carhart
“Tackling the Root Causes Upstream of Unhealth Urban Development” is a trans-disciplinary research project seeking to map and understand urban development decision-making, visualise stakeholder mental models and codevelop improvement interventions. The project's primary data was gathered through 123 semistructured interviews. This article applies, compares, and discusses four variations on a method
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Uncovering dynamic complexity in annual reports: a methodological approach using resource mapping System Dynamics Review (IF 3.04) Pub Date : 2023-08-23 Martin Kunc, Federico Barnabè, Maria Cleofe Giorgino
This study explores the role of qualitative system dynamics (SD) models in representing and analyzing the information of corporate annual reports by uncovering their hidden “dynamic complexity.” The study employs a specific qualitative SD technique, resource mapping, and outlines a methodology to apply it in practice. This study has several contributions. First, it provides methodological guidelines
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From low-hanging fruit to high-impact sustainability transformations: unpacking dynamics of intra- and interorganizational capability traps System Dynamics Review (IF 3.04) Pub Date : 2023-08-13 Jeroen Struben, Florian Kapmeier
Why are organizations and markets slow to transform toward sustainability despite the abundant well-recognized opportunities it provides? An important subset of the phenomena this question addresses involves decision-makers recognizing the existence of opportunities but failing to undertake ambitious, effective, sufficient, or timely action. Building on existing research on capability traps, market
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Evaluating and mitigating locally and nationally variable food security dynamics in Guatemala through participatory causal loop diagram building System Dynamics Review (IF 3.04) Pub Date : 2023-07-26 Juliana Isaac, Jaime Luís Carrera, Ottoniel Monterroso Rivas, Juventino Gálvez Ruano, María Rueda Martínez, Azam Khowaja, Julian Russell, Julien Malard-Adam, Humberto Monardes, Jan Adamowski, Hugo Melgar-Quiñonez
Various methods have been proposed to analyze national trends of malnutrition and food insecurity; however, these methods often fail to consider regional specificities that drive national food security dynamics. This case study seeks to close this gap through the novel use of participatory causal loop diagrams (CLDs) to analyze the malnutrition crisis and food security dynamics across diverse regions
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Grounding alcohol simulation models in empirical and theoretical alcohol research: a model for a Northern Plains population in the United States System Dynamics Review (IF 3.04) Pub Date : 2023-06-13 Arielle R. Deutsch, Edward Chau, Nikki Motabar, Mohammad S. Jalali
The growing number of systems science simulation models for alcohol use (AU) are often disconnected from AU models within empirical and theoretical alcohol research. As AU prevention/intervention efforts are typically grounded in alcohol research, this disconnect may reduce policy testing results, impact, and implementation. We developed a simulation model guided by AU research (accounting for the
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Challenges for sustainability: misperceptions and misleading advice System Dynamics Review (IF 3.04) Pub Date : 2023-05-14 Erling Moxnes
To ensure sustainable development, governments depend on informed decision-makers including the electorates. Previous studies show evidence of widespread and systematic misperceptions, voter ignorance, and reliance on inappropriate cognitive heuristics. The wait and see heuristic is one such trusted heuristic that is used repeatedly and with minimal effort. When applied to the management of dynamically
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As simple as possible but not simpler: structural sensitivity testing of a dynamic model of adolescent overweight and obesity System Dynamics Review (IF 3.04) Pub Date : 2023-05-01 Eduard Romanenko, Jack Homer, Nanna Lien
We recently published results from an SD model of adolescent overweight and obesity using data from 31 European countries that participate in the Health Behavior in School-Aged Children (HBSC) study. During model development, we sought to identify a feedback structure with high explanatory power that avoided speculative relationships. Expert reviewers generally agreed with our modeling decisions, but
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The four main elements of dynamic complexity System Dynamics Review (IF 3.04) Pub Date : 2023-04-21 Hakan Yasarcan
Accumulation processes, feedback loops, nonlinearities, and delays are the four main elements of dynamic complexity. Knowing about and understanding these elements is necessary in conceptualizing and constructing dynamic feedback models. Therefore, the elements are major topics when teaching system dynamics. This short note aims to explain the relations of these elements with each other in the hope
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Modeling distribution parameters in system dynamics: an application in childhood obesity System Dynamics Review (IF 3.04) Pub Date : 2023-03-11 Simon K Chiu, Louise Freebairn, Louise A Baur, L. Kurt Kreuger, Adam Skinner, Jo-An Occhipinti
System dynamics models are increasingly being used to understand the underlying dynamics of populations and hypothesize causal system structures that can account for changes in a population's disease burden. A considerable challenge for public health modeling is understanding how changes in underlying determinants of a problem impact a population's measure of public health, such as the prevalence of
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Mental models, cognitive maps, and the challenge of quantitative analysis of their network representations System Dynamics Review (IF 3.04) Pub Date : 2023-02-14 Sumaiya Haque, Hesam Mahmoudi, Navid Ghaffarzadegan, Konstantinos Triantis
Cognitive maps, or mental maps, are externalized portrayals of mental models—people's mental representations of reality and their presumptions about how the world works. They are often used as the intermediary step toward uncovering individuals' presumptions of the outside world. Yet, the next step is often vague: once one's understanding of the real world is mapped, how can we systematically evaluate
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Improving Loops that Matter System Dynamics Review (IF 3.04) Pub Date : 2023-01-26 William Schoenberg, John Hayward, Robert Eberlein
The Loops that Matter (LTM) approach to understanding behavior has proven easy to use and broadly applicable, but it has a shortcoming in its original formulation. This is because the original formulation treats the impact of a flow on a stock relative to the net flow, so that all scores tend to get very large in magnitude as a stock approaches equilibrium, but how big depends strongly on how the flows
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Observations from a system dynamics modeling field school in Mali System Dynamics Review (IF 3.04) Pub Date : 2023-01-11 Laura Schmitt Olabisi, Amadou Sidibé
System dynamics models are powerful tools, but it can take months to learn modeling at an advanced level. Gaining even advanced beginner systems modeling skills may be useful for many researchers, and may require less time. We tested this premise through a 1-week field course in Bamako, Mali. The course included an introduction to systems thinking and modeling, a field trip to involve local stakeholders
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Dynamic supply chains with endogenous dispositions System Dynamics Review (IF 3.04) Pub Date : 2022-12-20 James Paine
The movement of goods through a supply chain depends on both the physical flow of goods and on the economic decisions of each entity along the chain, including price discovery and inventory disposition decisions. This paper presents a methodological contribution to the system dynamics and supply chain research communities by developing a novel framework for supply chain models by combining three classic
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Sociotechnical interdependencies and tipping-point dynamics in data-intensive services System Dynamics Review (IF 3.04) Pub Date : 2022-12-04 Navid Ghaffarzadegan, Sarah Mostafavi, Hyunjung Kim
Service science theories do not fully explain failure cases in data-intensive services – high-technology services that utilize large volumes of data and provide customized information for users. In these service systems, the technological and social elements are highly interconnected: firms cannot maintain databases and analytic capabilities if they lack market penetration, which itself is influenced
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Corrigendum System Dynamics Review (IF 3.04) Pub Date : 2022-11-07
Syst. Dyn. Rev. 38, 317, 319–321 (2022). In the paper by David C. Lane (2022), the following references have been corrected: Burrell and Morgan, 1979 From: … 1985th ed. Aldershot: Gower. To: … 1985 ed. Aldershot: Gower. Henize, 1970 From: ‘Principles of Dynamics Systems’ To: ‘Principles of Dynamic Systems’ Malczynski and Lane, 2023 From: … System Dynamics Review 39(1) To appear. To: … System Dynamics
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Fons et origo: reflections on the 60th anniversary of Industrial Dynamics System Dynamics Review (IF 3.04) Pub Date : 2022-10-05 David C. Lane
This paper records and reflects on the anniversary of the publication of Forrester's Industrial Dynamics. It considers the book from four perspectives. First, it samples the earlier publications that heralded and anticipated its publication. Second, it explores in depth some contemporary reviews, drawn from a range of disciplines. The paper then looks in detail at how the book was influenced by, and
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Sublime reason: when Isaac Asimov met Jay Forrester System Dynamics Review (IF 3.04) Pub Date : 2022-10-04 Leonard A Malczynski, David C. Lane
This article describes an encounter between servomechanism innovator, digital computing pioneer and creator of system dynamics, Jay Forrester, and Isaac Asimov, renowned author of science fiction (including “The Foundation Trilogy” and its fictional discipline of psychohistory) and works of popular science. Their lengthy exchange took place at a workshop in 1975 and four descriptions of it are extant
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Foodborne transmission of norovirus: mechanism modelling, seasonality and policy implications (2020 System Dynamics Applications Award paper) System Dynamics Review (IF 3.04) Pub Date : 2022-09-27 David C. Lane, Elke Husemann, Darren Holland, Abdul Khaled
The article describes a study of the foodborne transmission mechanisms for norovirus. It was undertaken for the U.K. Food Standards Agency and received the System Dynamics Society's 2020 “System Dynamics Applications Award”. The article opens with descriptions of norovirus, the organisational context and the aims of the study. The first phase involved the construction of a large, fully formulated SD
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Using analytical equations to represent nonlinear relationships System Dynamics Review (IF 3.04) Pub Date : 2022-09-11 Juan Ríos-Ocampo, Michael Shayne Gary
Table functions, also referred to as graphical functions, provide a powerful and user-friendly way to represent nonlinear relationships between variables in system dynamics (SD) models. However, in many cases modelers may benefit from using analytical equations to represent nonlinear relationships for model sensitivity testing and also for communicating with researchers in other fields and disciplines
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Documenting the modeling process with a standardized data structure described and implemented in DynamicVu System Dynamics Review (IF 3.04) Pub Date : 2022-08-30 Warren W. Farr, Samuel D. Allen, Andrada Tomoaia-Cotisel, Peter S. Hovmand
Documenting the process of building a simulation model is different from documenting the simulation model itself. Good model-building practice includes the discovery of potentially large sets of multimedia data. Organizing and documenting data and the process of collecting it has several advantages including: tightly linking data to its source and the timing of its discovery; separating source data
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Quantifying the COVID-19 endgame: Is a new normal within reach? System Dynamics Review (IF 3.04) Pub Date : 2022-08-24 Hazhir Rahmandad, John Sterman
Eradication of COVID-19 is out of reach. Are we close to a “new normal” in which people can leave behind restrictive non-pharmaceutical interventions (NPIs) yet face a tolerable burden of disease? The answer depends on the ongoing risks versus communities' tolerance for those risks. Using a detailed model of the COVID-19 pandemic spanning 93 countries, we estimate the biological and behavioral factors
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Behavioral responses to risk promote vaccinating high-contact individuals first System Dynamics Review (IF 3.04) Pub Date : 2022-08-23 Hazhir Rahmandad
How should communities prioritize COVID-19 vaccinations? Prior studies found that prioritizing the elderly and most vulnerable minimizes deaths. However, prior research has ignored how behavioral responses to risk of disease endogenously change transmission rates. We show that incorporating risk-driven behavioral responses enhances fit to data and may change prioritization to vaccinating high-contact
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An elementary mechanism for simultaneously modeling discrete decisions and decision times System Dynamics Review (IF 3.04) Pub Date : 2022-07-04 Jiangbo Yu
In the field of system dynamics (SD), there has been a missing set of theoretically sound techniques for explicitly modeling dynamics during discrete decision-making processes across varying levels and types of decision pressures. Purchasing a property, filing a divorce, approving a merger, imposing a tariff, and launching a war are examples of actions that have broader ramifications; in these cases
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Agency in physiological dynamics System Dynamics Review (IF 3.04) Pub Date : 2022-06-22 James Rogers, Edward J. Gallaher, David Dingli
With a view to finding new applications of biomedical system dynamics, this article expands upon on our talk at the 2021 International System Dynamics Conference on the occasion of receiving the J. W. Forrester Award for the article, “Personalized ESA doses for anemia management in hemodialysis patients with end-stage renal disease” (System Dynamics Review 2018, 34(1–2): 121–153). We summarize the
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Pattern-oriented analysis of system dynamics models via random forests System Dynamics Review (IF 3.04) Pub Date : 2022-05-26 Mert Edali
System dynamics (SD) modeling studies aim to reveal the causes of problematic dynamic behaviors and eliminate them through policy design and analysis. The analyst conducts sensitivity/scenario analyses and what-if experiments to reveal the input–output relationships during modeling. However, during these analyses and investigations, the identification of input-parameter spaces that cause the generation
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Reflecting on factors influencing long-lasting organisational effects of group model-building interventions System Dynamics Review (IF 3.04) Pub Date : 2022-04-18 Hugo Herrera, Nuno Videira, Hubert P.L.M. Korzilius, Kathya Lorena Cordova-Pozo, Marleen H.F. McCardle-Keurentjes
Introduction Researchers and practitioners recognise that many organisations, to different extents, deal with nonroutine, complex problems that hinder their performance and constrain them from fully delivering their mission. These situations are often characterised by lack of agreement about the scope and depth of the problem at hand, as well as conflicting views and agendas regarding the desired course
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Holistic versus analytic thinking orientation and its relationship to the bullwhip effect System Dynamics Review (IF 3.04) Pub Date : 2022-03-23 Manuel Brauch, Andreas Größler
Previous research has shown that decision-makers contribute with individually varying intensity to the bullwhip effect, which refers to the amplification of demand variability along supply chains. This article examines whether differences in decision-makers’ holistic versus analytic thinking orientation are related to these variations. The hypothesis is put forward that a stronger holistic thinking
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Planning, implementing, and evaluating an online group-model-building workshop during the COVID-19 pandemic: celebrating successes and learning from shortcomings. System Dynamics Review (IF 3.04) Pub Date : 2022-03-22 Kyrah K Brown,Michael Kenneth Lemke,Saeideh Fallah-Fini,Ariel Hall,Mercy Obasanya
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Rigorously interpreted quotation analysis for evaluating causal loop diagrams in late-stage conceptualization System Dynamics Review (IF 3.04) Pub Date : 2022-03-06 Andrada Tomoaia-Cotisel, Samuel D. Allen, Hyunjung Kim, David Andersen, Zaid Chalabi
As a field, system dynamics has made more progress in developing formal model evaluation methods that use quantitative data than ones that use qualitative data. This article describes a formal method for evaluating a causal loop diagram (CLD) in late-stage conceptualization – referred to as rigorously interpreted quotation analysis – and illustrates its application in a case study. The method uses
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Science-based analysis for climate action: how HSBC Bank uses the En-ROADS climate policy simulation System Dynamics Review (IF 3.04) Pub Date : 2021-12-12 Florian Kapmeier, Andrew S. Greenspan, Andrew P. Jones, John D. Sterman
Introduction: ambitious climate action from businesses In 2018, the Intergovernmental Panel on Climate Change (IPCC, 2018) found that rapid decarbonization and net negative greenhouse gas (GHG) emissions by mid-century are required to “hold the increase in global average temperature to well below 2 °C above pre-industrial levels and pursue efforts to limit the temperature increase to 1.5 °C,” as stipulated
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Introducing M-Tool: A standardised and inclusive mental model mapping tool System Dynamics Review (IF 3.04) Pub Date : 2021-12-12 Karlijn L. van den Broek, Sina A. Klein, Joseph Luomba, Helen Fischer
Stakeholder mental model elicitation can produce valuable insights into perceptions of complex systems such as ecosystems, economies, or the climate. These mental models can uncover crucial differences in perceptions between stakeholders and prevalent misunderstandings of the system, which can ultimately contribute to successful resource management. This paper introduces a novel tool to capture mental
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The concept of energy in the analysis of system dynamics models System Dynamics Review (IF 3.04) Pub Date : 2022-02-06 John Hayward, Paul A. Roach
This paper applies for the first time the Newtonian concept of energy to stock–flow systems and employs it to relate system behaviour to model structure. Kinetic energy and work done are defined analytically using the concepts of loop impact and force from the Newtonian Interpretative Framework and are examined numerically within system dynamics simulations. The energy analogy is used to analyse models
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Business Simulation Library v2.0 released System Dynamics Review (IF 3.04) Pub Date : 2022-01-01 Guido Wolf Reichert
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Back to basics: fundamental principles of system dynamics and queueing theory System Dynamics Review (IF 3.04) Pub Date : 2021-12-22 Paulo Gonçalves
Introduction Ghaffarzadegan and Larson (2018) contend that “many traditional operations research (OR) models can be improved by including feedback processes, as is commonly done in system dynamics (SD) p. 327” and that modelers can build better models by combining the strengths of both modeling schools. Focusing mainly on queueing theory as a fundamental building block of Operations Research, they
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Boundary objects in translation: the role of language in participatory system dynamics modeling System Dynamics Review (IF 3.04) Pub Date : 2021-10-28 Ellis Ballard, Kelsey Werner, Pratiti Priyadarshini
Participatory system dynamics modeling provides tools to represent and improve mental models through stakeholder participation. A hallmark of this approach is the creation and management models as boundary objects. With a proliferation of participatory modeling in diverse contexts, new methodological challenges have emerged around the role of language and translation. This article identifies a gap
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A Bayesian approach to calibrate system dynamics models using Hamiltonian Monte Carlo System Dynamics Review (IF 3.04) Pub Date : 2021-10-14 Jair Andrade, Jim Duggan
Model calibration is an essential test that dynamic hypotheses must pass in order to serve as tools for decision-making. In short, it is the search for a match between actual and simulated behaviours using parameter inference. Here, we approach such an inference process from a Bayesian perspective. Under this paradigm, we provide statements about the parameters (viewed as random variables) and data
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Call for submissions to the 2022 ISDC System Dynamics Review (IF 3.04) Pub Date : 2021-10-01 Birgit Kopainsky,Nici Zimmermann,Gloria Perez Salazar
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Feedback Economics: Economic Modeling with System Dynamics (2021) System Dynamics Review (IF 3.04) Pub Date : 2021-10-01 John T. Harvey
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The impact of information visibility on ordering dynamics in a supply chain: a behavioral perspective System Dynamics Review (IF 3.04) Pub Date : 2021-08-20 Paulo Gonçalves, Mohammad Moshtari
Previous research on the Bullwhip Effect shows that information visibility—Point-Of-Sale (POS) data or supply-chain partner-inventory data—can reduce the amplification of orders in a supply chain. This study compiles and analyzes the data from two previous experiments with the beer game (Croson and Donohue, 2003, 2006) to gain insight on the specific mechanisms that decrease order amplification. By
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Managing the trade-off between groundwater resources and large-scale agriculture: the case of pistachio production in Iran System Dynamics Review (IF 3.04) Pub Date : 2021-09-29 Ali Akhavan, Paulo Gonçalves
Benefiting from historically favorable conditions (e.g. low costs, fertile land, and abundant water), pistachio producers in Rafsanjan, Iran, have flourished, with pistachio orchards and production growing dramatically since the 1970s. Today, however, the enormous increase in water consumption associated with pistachio production has severely depleted groundwater aquifers, causing widespread water
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Metacognition in action as a possible explanation for stock-flow failure System Dynamics Review (IF 3.04) Pub Date : 2021-09-30 Gürsu Aşιk, Zerrin Doğança Küçük
This study aims at examining the role of metacognition, which refers to one's ability to control and regulate their own thinking process through various activities in assessing dynamics of stocks and flows. The first research question focuses on the metacognitive activities used by individuals who solved such tasks correctly and who did not. The second question focuses on how successfully participants