SYSTEM DYNAMICS REVIEW

Scope & Guideline

Advancing knowledge in complex systems dynamics.

Introduction

Welcome to your portal for understanding SYSTEM DYNAMICS REVIEW, featuring guidelines for its aims and scope. Our guidelines cover trending and emerging topics, identifying the forefront of research. Additionally, we track declining topics, offering insights into areas experiencing reduced scholarly attention. Key highlights include highly cited topics and recently published papers, curated within these guidelines to assist you in navigating influential academic dialogues.
LanguageEnglish
ISSN0883-7066
PublisherWILEY
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1985 to 2024
AbbreviationSYST DYNAM REV / Syst. Dyn. Rev.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address111 RIVER ST, HOBOKEN 07030-5774, NJ

Aims and Scopes

The 'System Dynamics Review' is dedicated to advancing the field of system dynamics through rigorous research and practical applications. The journal focuses on the development, application, and evaluation of system dynamics methodologies, fostering interdisciplinary collaboration and addressing complex, real-world problems.
  1. Methodological Advancement:
    The journal emphasizes innovative methodologies in system dynamics modeling, including the development of algorithms, frameworks, and tools that enhance model analysis and implementation.
  2. Interdisciplinary Applications:
    Research published in the journal often applies system dynamics to various fields such as public health, environmental studies, and social sciences, showcasing its versatility in addressing multifaceted issues.
  3. Participatory Modeling:
    A significant focus is placed on participatory approaches in system dynamics, emphasizing stakeholder engagement and collaborative modeling to improve decision-making processes.
  4. Policy and Decision Support:
    The journal aims to provide insights and tools that support policymakers in understanding complex systems and designing effective interventions.
  5. Educational Methods:
    There is a consistent focus on educational strategies for teaching system dynamics, including experiential learning and workshops, to cultivate a new generation of system dynamics practitioners.
Recent publications in the 'System Dynamics Review' highlight several trending and emerging themes that reflect the current challenges and innovations within the field. These themes indicate a growing interest in integrating modern technologies and addressing contemporary global issues.
  1. AI and Machine Learning Integration:
    There is a rising trend in exploring how artificial intelligence and machine learning can be integrated into system dynamics modeling, enhancing model development and analysis.
  2. Pandemic Preparedness and Response:
    Research focusing on system dynamics applications in pandemic scenarios has surged, especially in light of recent global health challenges, highlighting the relevance of dynamic modeling in crisis management.
  3. Causal Loop Diagrams and Qualitative Methods:
    An increasing emphasis on qualitative methods, particularly causal loop diagrams, signifies a trend towards understanding complex systems through participatory and visual approaches.
  4. Environmental Sustainability and Climate Dynamics:
    Papers addressing sustainability, climate change, and ecological systems are increasingly prominent, reflecting the urgency of these global challenges and the role of system dynamics in developing actionable insights.
  5. Ethical and Social Considerations:
    Emerging discussions around the ethical implications of system dynamics modeling, particularly in participatory settings, indicate a growing awareness of the social responsibilities of modelers.

Declining or Waning

While the 'System Dynamics Review' continues to explore a broad range of topics, certain themes have shown a decrease in prominence over recent years. Understanding these waning scopes can provide insight into the evolving interests within the field.
  1. Traditional Economic Modeling:
    Papers focusing solely on traditional economic models without integrating system dynamics concepts have become less frequent, indicating a shift towards more complex, holistic approaches to economic issues.
  2. Basic System Dynamics Principles:
    There seems to be a declining interest in papers that merely reiterate the foundational principles of system dynamics, as the field moves toward more advanced applications and methodologies.
  3. Single-Disciplinary Focus:
    Research that applies system dynamics in isolation from other disciplines is less common, reflecting a trend towards interdisciplinary collaboration that enriches the field.
  4. Static Modeling Approaches:
    There is a noticeable decrease in the publication of studies that rely on static models, as dynamic and adaptive modeling techniques gain more attention for their relevance in real-time decision-making.
  5. Narrow Case Studies:
    The journal has seen a reduction in narrowly focused case studies that do not generalize findings or contribute to broader theoretical frameworks, suggesting a preference for work that can inform wider applications.

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