<i>System Dynamics Review</i> and publications 1985–2017: analysis, synthesis and contributions

Torres, Juan Pablo

doi:10.1002/sdr.1628

Cited by 11 publications

(8 citation statements)

References 81 publications

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“…Kunc and associates [ 16 ] indicate that there was a significant and increasing trend in SD publications after 2010 in the areas of health improvement, health services, health epidemics, and health policy-making, although the trends were significantly more dramatic than those observed in our results. Torres [ 17 ] presented the number of papers cited in the System Dynamics Review Journal and found that only 37% of the citations were from 2000 to 2009.…”

Section: Resultsmentioning

confidence: 99%

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A System Dynamics Simulation Applied to Healthcare: A Systematic Review

Davahli

Karwowski

Taı̈ar

2020

IJERPH

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In recent years, there has been significant interest in developing system dynamics simulation models to analyze complex healthcare problems. However, there is a lack of studies seeking to summarize the available papers in healthcare and present evidence on the effectiveness of system dynamics simulation in this area. The present paper draws on a systematic selection of published literature from 2000 to 2019, in order to form a comprehensive view of current applications of system dynamics methodology that address complex healthcare issues. The results indicate that the application of system dynamics has attracted significant attention from healthcare researchers since 2013. To date, articles on system dynamics have focused on a variety of healthcare topics. The most popular research areas among the reviewed papers included the topics of patient flow, obesity, workforce demand, and HIV/AIDS. Finally, the quality of the included papers was assessed based on a proposed ranking system, and ways to improve the system dynamics models’ quality were discussed.

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Section: Resultsmentioning

confidence: 99%

“…The average and median numbers of included papers among these reviews were 270 and 182, respectively. More specifically, the maximum number of papers used in the published reviews was 1441 [ 17 ], while the minimum number of papers was six [ 23 ].…”

Section: Evaluation Of Review Papersmentioning

confidence: 99%

A System Dynamics Simulation Applied to Healthcare: A Systematic Review

Davahli

Karwowski

Taı̈ar

2020

IJERPH

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“…In this paper, a simulation model of the spread of covid-19 at a hypothetical university is reported, and the model is used to estimate effects of different policy measures on containing the spread. The model focused on the dynamics of the system [ 29 ] as affected by behavioral feedback loops [ 30 ], including human reactions to the growing number of cases and the administration’s decision for early closure. The main contribution of this work is to offer insights into the relative effects of different policies to contain an outbreak in a university setting.…”

Section: Discussionmentioning

confidence: 99%

Simulation-based what-if analysis for controlling the spread of Covid-19 in universities

Ghaffarzadegan

2021

PLoS ONE

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A simulation model is developed to analyze the spread of covid-19 in universities. The model can be used to conduct a what-if analysis and estimate infection cases under different policies. For proof-of-concept, the model is simulated for a hypothetical university of 25,000 students and 3,000 faculty/staff in a U.S. college town. Simulation results show that early outbreaks are very likely, and there is no silver bullet to avoid them. Instead, a combination of policies should be carefully implemented. The results suggest (almost) full remote university operations from the beginning of the semester. In a less-preferred alternative, if universities decide to have students attend in person, they should encourage remote operations for high-risk individuals, conduct frequent rapid tests, enforce mask use, communicate with students and employees about the risks, and promote social distancing. Universities should be willing to move to remote operations if cases rise. Under this scenario, and considering implementation challenges, many universities are still likely to experience an early outbreak, and the likelihood of having a case of death is worrisome. In the long run, students and faculty react to the risks, and even if universities decide to continue operations, classes are likely to have very low in-person attendance. Overall, our analysis depicts several sources of system complexities, negative unintended consequences of relying on a single policy, non-linear incremental effects, and positive synergies of implementing multiple policies. A simulation platform for a what-if analysis is offered so marginal effectiveness of different policies and different decision-making thresholds for closure can be tested for universities of varying populations.

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“…Systems theory is a broad area of research and there are different perspectives on systems within the marketing discipline (Löbler 2016). For instance, system dynamics addresses a broad range of problems by formulating dynamic hypotheses as well as testing computer-based simulation models (Sterman 2000; Torres 2019). This is predominantly a quantitative approach.…”

Section: Literature Reviewmentioning

confidence: 99%

“…To capture the “mental data bases” (Sterman 2018), a participatory approach to mapping system causality, also known as group model building, is key. Group model building (GMB) is a family of collective decision making methods within system dynamics (Bérard 2010; Ricigliano 2016; Torres 2019). GMB involves system stakeholders in the origination of shared mental models of the problems and consensual unravelling of the underlying causes of these problems to support strategic decision-making (Akkermans and Vennix 1997).…”

Section: Literature Reviewmentioning

confidence: 99%

Marketing systems: A Listen, Learn, Leverage Framework

Domegan

Brychkov

McHugh

et al. 2020

Journal of Macromarketing

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Macromarketing provides the conceptual ground to understand marketing dynamics in a systems setting. Social marketing offers an implementation platform through which collective behavioral change may be accomplished. Qualitative system mapping from systems thinking delivers potentially powerful tools for macromarketing and social marketing in their non-linear causality pursuits. The central theme of the paper is to unveil the marketing dynamics of a complex problem. A MAS informed social marketing systems approach is presented through an inter-disciplinary case study to address the complex challenge of increasing influenza vaccination rates in a hospital systems setting. We identify the dominant behavioral and structural dynamics blocking the desired collective behaviors which present potential opportunities to interrupt the system’s current trajectory. We capture the paradoxically contradicting group choices to systemic outcomes. We show how highly participatory understandings can act as the basis for integrated multilevel, multi-stakeholder interventions to alter the evolutionary patterns over time and space in a system. We conclude that the listening, learning and leveraging processes of undertaking qualitative marketing systems dynamics mapping for collective behavioral change are a potent way forward.

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System Dynamics Review and publications 1985–2017: analysis, synthesis and contributions

Cited by 11 publications

References 81 publications

A System Dynamics Simulation Applied to Healthcare: A Systematic Review

A System Dynamics Simulation Applied to Healthcare: A Systematic Review

Simulation-based what-if analysis for controlling the spread of Covid-19 in universities

Marketing systems: A Listen, Learn, Leverage Framework

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