International Journal of Knowledge and Systems Science
Scope & Guideline
Advancing Insights in AI, Information Systems, and Management
Introduction
Aims and Scopes
- 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. - Systems Science Approaches:
The journal employs systems science methodologies to analyze complex problems, integrating interdisciplinary approaches to enhance understanding and effectiveness in various fields. - 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. - 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. - 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.
Trending and Emerging
- 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. - 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. - 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. - 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. - 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
- 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. - 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. - 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. - 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. - 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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