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International Journal of Knowledge and Systems Science - IGI Global | 2024 Impact Factor:0.6 | Cite Score:2.5 | Q4

International Journal of Knowledge and Systems Science With Cite Score

Cite Score and Journal Rank of International Journal of Knowledge and Systems Science

  • About: The International Journal of Knowledge and Systems Science publishes original research articles, reviews, and case studies on topics related to knowledge systems and systems science. Areas of interest include knowledge representation, knowledge management systems, systems theory, information systems, and the application of systems science principles in various fields. The journal aims to address both theoretical and practical aspects of knowledge and systems science.
  • Objective
    The primary objective of IJKSS is to advance understanding and innovation in knowledge systems and systems science by providing a forum for high-quality research. The journal seeks to facilitate the exchange of ideas and promote innovative solutions that enhance the development and application of knowledge systems and systems science.
  • Interdisciplinary Approach
    International Journal of Knowledge and Systems Science adopts an interdisciplinary approach, recognizing that advancements in knowledge systems and systems science often involve insights from various fields such as computer science, information systems, management, and organizational theory. The journal encourages contributions that integrate these diverse perspectives to address complex challenges and develop comprehensive solutions.
  • Impact and Significance
    The journal has a significant impact on both academic and professional communities by providing a valuable resource for research and development in knowledge systems and systems science. Its influence is reflected in its ability to shape research agendas, drive technological innovations, and enhance understanding and practices in these fields.

  • Editor-in-Chief:  Van Nam Huynh

  • Scope: The International Journal of Knowledge and Systems Science (IJKSS) focuses on research and developments in the field of knowledge management and systems science. It aims to advance understanding and applications of knowledge systems, organizational knowledge, and their role in various systems.
  • Knowledge Management:
    Theoretical foundations and models of knowledge management
    Techniques for knowledge capture, storage, and retrieval
    Knowledge sharing and dissemination strategies
    Organizational knowledge and its impact on performance
    Best practices and case studies in knowledge management
  • Systems Science:
    Fundamental principles and theories in systems science
    System modeling, analysis, and design
    Application of systems theory in various domains
    Interdisciplinary approaches to system development and evaluation
    Innovations and advancements in systems science methodologies
  • Knowledge Systems and Applications:
    Development and implementation of knowledge-based systems
    Applications of knowledge systems in business, healthcare, and other sectors
    Integration of knowledge management with information systems
    Tools and technologies for managing and utilizing knowledge
    Impact of knowledge systems on organizational and societal outcomes
  • Information and Data Science:
    Relationship between knowledge management and data science
    Techniques for data analysis and knowledge extraction
    Use of data-driven approaches in knowledge systems
    Challenges and solutions in managing large-scale knowledge and data
    Case studies of data science applications in knowledge systems
  • Future Directions and Research Challenges:
    Emerging trends and future directions in knowledge and systems science
    Research opportunities in integrating new technologies with knowledge systems
    Predictions for the evolution of knowledge management practices
    Addressing challenges and opportunities in the field
    Vision for future research and development in knowledge and systems science
  • Latest Research Topics for PhD in Computer Science

  • Print ISSN:  1947-8208

    Electronic ISSN:  1947-8216

  • Abstracting and Indexing:  Scopus, Emerging Source and iteration index

  • Imapct Factor 2024:  0.6

  • Subject Area and Category:  Business, Management and Accounting,Management of Technology and Innovation,Organizational Behavior and Human Resource Management,Strategy and Management,Computer Science,Artificial Intelligence,Information Systems,Decision Sciences,Information Systems and Management

  • Publication Frequency:  Quarterly

  • H Index:  11

  • Best Quartile:

    Q1:  

    Q2:  

    Q3:  

    Q4:  Artificial Intelligence

  • Cite Score:  2.5

  • SNIP:  0.381

  • Journal Rank(SJR):  0.184