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Exploring the landscape of system dynamics archetypes: A systematic review

Systems Research and Behavioral Science, ISSN: 1099-1743
2024
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Article Description

System dynamic archetypes reflect common problematic behaviours that occur in the real world. The high level of abstraction embodied in these archetypes is both promising and daunting. Identifying relevant archetypes for real-world problems is not a straightforward task. In this work, we aim to provide a comprehensive background for understanding current knowledge on the application of system archetypes. The methodology is based on a systematic literature review. Most of the works contribute with prescriptive models that address problems in specific areas. These models generally tackle complex problems where social, environmental and political issues converge. The unit of analysis encompasses geographical units, organizations and artefacts. The steps followed in the development are described with different level of detail. Stakeholders' participation is typically integrated into the development process. Some reported problems are that archetypes could induce a hypothesis that does not include all relevant factors; some participants may have difficulty in understanding the models; confidence in results, difficulty of having data to configure all the variables; and the cost burden for small enterprises.

Bibliographic Details

Marisa A. Sánchez

Wiley

Social Sciences; Business, Management and Accounting; Decision Sciences

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