International Journal of Knowledge and Systems Science

Scope & Guideline

Advancing Insights in AI, Information Systems, and Management

Introduction

Explore the comprehensive scope of International Journal of Knowledge and Systems Science through our detailed guidelines, including its aims and scope. Stay updated with trending and emerging topics, and delve into declining areas to understand shifts in academic interest. Our guidelines also showcase highly cited topics, featuring influential research making a significant impact. Additionally, discover the latest published papers and those with high citation counts, offering a snapshot of current scholarly conversations. Use these guidelines to explore International Journal of Knowledge and Systems Science in depth and align your research initiatives with current academic trends.
LanguageEnglish
ISSN1947-8208
PublisherIGI GLOBAL
Support Open AccessNo
CountryUnited States
TypeJournal
Convergefrom 2017 to 2024
AbbreviationINT J KNOWL SYST SCI / Int. J. Knowl. Syst. Sci.
Frequency1 issue/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 Knowledge and Systems Science focuses on the intersection of knowledge management and systems science, addressing the complexities of knowledge-driven environments across various sectors. The journal seeks to provide insights into methodologies that enhance decision-making and optimize processes in diverse applications.
  1. Knowledge Management and Innovation:
    Emphasizing the role of knowledge management in fostering innovation, the journal explores frameworks and models that facilitate knowledge sharing and collaboration in organizations.
  2. Systems Science Approaches:
    The journal employs systems science methodologies to analyze complex problems, integrating interdisciplinary approaches to enhance understanding and effectiveness in various fields.
  3. Application of Advanced Technologies:
    There is a consistent focus on the application of advanced technologies, such as machine learning, fuzzy systems, and big data analytics, in improving operational efficiencies and decision-making processes.
  4. Industry-Specific Case Studies:
    The journal frequently publishes case studies that provide practical insights and solutions in specific industries, such as healthcare, logistics, and education, showcasing real-world applications of theoretical frameworks.
  5. Sustainability and Risk Management:
    Research on sustainability practices and risk management strategies is a core area, highlighting the importance of these themes in contemporary organizational contexts.
The International Journal of Knowledge and Systems Science has shown a dynamic evolution in its thematic focus, reflecting contemporary challenges and technological advancements. The following emerging themes indicate a clear trend towards integrating innovative methodologies and addressing pressing global issues.
  1. Multi-Objective Optimization:
    Recent publications highlight a growing interest in multi-objective optimization techniques, particularly in operational settings such as supply chain management and resource allocation, underscoring the need for balancing various competing objectives.
  2. Fuzzy Logic and Decision-Making:
    The application of fuzzy logic in decision-making processes is increasingly prominent, as researchers explore its utility in contexts where uncertainty and ambiguity are prevalent, such as healthcare and logistics.
  3. Artificial Intelligence and Machine Learning:
    There is a significant rise in research utilizing artificial intelligence and machine learning algorithms, particularly in data analysis and predictive modeling, reflecting the broader trend of digital transformation across industries.
  4. Sustainability and Resilience Planning:
    Emerging themes around sustainability and resilience planning are becoming more prominent, with a focus on developing frameworks that support sustainable practices in various sectors, including energy and logistics.
  5. Knowledge Graphs and Data Integration:
    The use of knowledge graphs for data integration and analysis is gaining traction, facilitating enhanced insights and decision-making by organizing and linking complex data sets effectively.

Declining or Waning

While the journal continues to evolve, certain themes have gradually lost prominence in recent publications. This decline may reflect shifting research interests and the emergence of new methodologies or applications.
  1. Traditional Manufacturing Techniques:
    There has been a noticeable decrease in research focusing solely on traditional manufacturing processes, as the journal shifts towards more innovative and technology-driven approaches.
  2. Basic Knowledge Management Frameworks:
    Previous emphasis on basic knowledge management frameworks has waned, with a move towards more complex and integrated systems that address contemporary challenges in knowledge sharing.
  3. Static Economic Models:
    Static economic models and analyses that do not incorporate dynamic elements or real-time data have become less frequent, indicating a preference for more adaptive and responsive modeling techniques.
  4. Generic Educational Strategies:
    The focus on generic educational strategies, without contextual adaptation, has declined, as the journal increasingly emphasizes tailored approaches that consider specific learning environments and cultural contexts.
  5. Single-Disciplinary Studies:
    There is a noticeable trend away from studies that are purely single-disciplinary, with a growing preference for interdisciplinary research that incorporates multiple perspectives and methodologies.

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