International Journal of System Dynamics Applications

Scope & Guideline

Fostering Collaboration in System Dynamics Innovation.

Introduction

Immerse yourself in the scholarly insights of International Journal of System Dynamics Applications with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2160-9772
PublisherIGI GLOBAL
Support Open AccessNo
Country-
Type-
Converge-
AbbreviationINT J SYST DYN APPL / Int. J. Syst. Dyn. Appl.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address701 E CHOCOLATE AVE, STE 200, HERSHEY, PA 17033-1240

Aims and Scopes

The International Journal of System Dynamics Applications focuses on the application of system dynamics methodologies to various fields, emphasizing innovative solutions to complex problems. The journal serves as a platform for researchers to share their findings on dynamic systems and their applications in technology, engineering, and management.
  1. System Dynamics Modeling:
    The journal emphasizes the development and application of system dynamics models to understand complex systems and their behaviors, allowing for simulation and analysis of dynamic interactions.
  2. Computational Intelligence Techniques:
    It showcases research on the integration of computational intelligence, including fuzzy logic, genetic algorithms, and machine learning, to enhance decision-making processes and system performance.
  3. Application in Emerging Technologies:
    The journal covers the application of system dynamics in emerging technologies, such as IoT, cloud computing, and smart systems, emphasizing their role in modern computing and industrial applications.
  4. Sustainability and Resource Management:
    A core focus is on sustainability, particularly in resource management and operational efficiency, with studies addressing environmental impacts and sustainable practices.
  5. Healthcare and Epidemiology:
    Research related to healthcare systems, including modeling for disease spread, healthcare resource allocation, and clinical decision-making, is a significant area of interest.
Recent publications indicate several emerging themes within the journal, reflecting current trends in technology and societal needs. These themes highlight the journal's adaptability to contemporary challenges.
  1. Healthcare Analytics and COVID-19 Research:
    There is a significant increase in research focused on healthcare analytics, particularly in the context of COVID-19, illustrating the importance of system dynamics in managing health crises.
  2. IoT and Smart Systems Integration:
    Emerging studies on the integration of IoT technologies with system dynamics modeling signify a trend towards understanding complex interactions in smart environments.
  3. Sustainability and Environmental Impact Studies:
    Research addressing sustainability issues, particularly in resource management and environmental impact assessments, has gained traction, aligning with global sustainability goals.
  4. Artificial Intelligence and Machine Learning Applications:
    The incorporation of AI and machine learning techniques in system dynamics is a growing trend, showcasing innovative approaches to problem-solving in various domains.
  5. Decision-Making Frameworks in Uncertain Environments:
    Papers focusing on decision-making frameworks that account for uncertainty and risk management are increasingly prominent, reflecting the need for adaptive strategies in volatile conditions.

Declining or Waning

While the journal has seen a robust array of topics, certain areas appear to be declining in prominence over the recent years, reflecting shifts in research focus and technological advancements.
  1. Traditional Manufacturing Techniques:
    Research related to conventional manufacturing processes has seen a decline, as the focus shifts towards smart manufacturing and automation technologies.
  2. Basic Statistical Methods in Analysis:
    Papers solely relying on basic statistical methods without advanced modeling or computational techniques have become less frequent, as the journal embraces more sophisticated analytical approaches.
  3. Non-Dynamic Systems Research:
    There is a waning interest in studies that do not incorporate dynamic modeling or system dynamics principles, as the journal aims to maintain a clear focus on dynamic systems.

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