International Journal of Knowledge and Systems Science (IJKSS)
Emerging Sources Citation Index

International Journal of Knowledge and Systems Science (IJKSS)

Editor-in-Chief: Van Nam Huynh (JAIST, Japan)
Indexed In: Web of Science Emerging Sources Citation Index (ESCI), SCOPUS, INSPEC and 10 more indices
Published: Quarterly |Established: 2010
ISSN: 1947-8208|EISSN: 1947-8216|DOI: 10.4018/IJKSS


The International Journal of Knowledge and Systems Science (IJKSS) serves as a multi-disciplinary platform and adopts a systems approach to the theory and practice of managing information and people in knowledge intensive activities and processes, emphasizing the understanding of humans and their environment as part of interacting systems from both soft and hard systems science. As a quarterly journal that publishes theoretical, experimental, and experiential papers, practice notes, case studies, and innovative methodologies, IJKSS provides a forum for academicians, scientists, practitioners, and industry professionals to integrate diversity and fragments of knowledge.

Topics Covered

  • Adaptive complex systems
  • Applications and practices in enterprises, business, management, and education
  • Causal interactions and dynamic interweaving
  • Context management
  • Epistemology, ontology, and semantics
  • Future centers
  • Human-Machine Interface
  • Informatics with cybernetics and systems science
  • Intelligent information processing and computational emotions
  • Knowledge acquisition for expert systems
  • Knowledge acquisition in artificial intelligence
  • Knowledge conversion process and models
  • Knowledge eco-systems
  • Knowledge ergonomics
  • Knowledge flow
  • Knowledge innovation
  • Knowledge management systems and culture
  • Knowledge Representation
  • Knowledge transfer and productivity
  • Modeling of dynamic complexity
  • Modeling of human knowledge processes and systems
  • Organic complexity
  • Organizational learning and complexity of learning
  • Qualitative complexity
  • Risk and catastrophe management
  • Sense-making
  • Social -economic-technical systems
  • Social informatics
  • Social network systems
  • Sociological systems science
  • Soft Systems Methodology
  • Systems dynamics
  • Systems for integrating and creating knowledge
  • Systems models of complex human cognitive process
  • Systems psychology
  • Systems Theory
  • Technological and mathematical systems sciences
  • Technology Management
  • Use of narratives

Mission and Scope

The mission of the International Journal of Knowledge and Systems Science (IJKSS) is to promote the development of knowledge science and systems science as well as the collaboration between the two sciences among academics and professionals from various disciplines around the world. IJKSS establishes knowledge and systems science as a vigorous academic discipline in universities. Targeting academicians, professors, students, practitioners, and field specialists, this journal covers the development of new paradigms in the understanding and modeling of human knowledge process from mathematical, technical, social, psychological, and philosophical frameworks. The International Journal of Knowledge and Systems Science was originally launched by the International Society of Knowledge and Systems Science, which was initiated in 2000 in Japan and founded by Prof. Y. Nakamori, Professor Z. T. Wang and Professor J. Gu in 2003 in Guangzhou. Professor Z. T. Wang was its Founding Editor.

Table of Contents and List of Contributors

Search this Journal:
Open Access Articles: Forthcoming
Volume 12: 4 Issues (2021): Forthcoming, Available for Pre-Order
Volume 11: 4 Issues (2020): 2 Released, 2 Forthcoming
Volume 10: 4 Issues (2019)
Volume 9: 4 Issues (2018)
Volume 8: 4 Issues (2017)
Volume 7: 4 Issues (2016)
Volume 6: 4 Issues (2015)
Volume 5: 4 Issues (2014)
Volume 4: 4 Issues (2013)
Volume 3: 4 Issues (2012)
Volume 2: 4 Issues (2011)
Volume 1: 4 Issues (2010)
View Complete Journal Contents Listing


Editor(s)-in-Chief Biography

Prof. Van-Nam Huynh is a Professor of the School of Knowledge Science at Japan Advanced Institute of Science and Technology (JAIST). He has also served an Adjunct Professor at Chiang Mai University, Thailand, a Part-time Lecturer at Tsukuba University, Japan, and a Visiting Professor at National Electronics and Computer Technology Center (NECTEC), Thailand. His current research interests include decision analysis and management science, data mining and machine learning, modelling and reasoning with uncertain knowledge, multi-agent systems, kansei information processing and applications. Currently, Prof. Huynh also serves as an Associate Editor of International Journal of Approximate Reasoning (Elsevier) and the journal of Array (Elsevier).

Editorial Board

Editor-in-Chief Emeritus
W.B. Lee, Knowledge Management and Innovation Research Centre - The Hong Kong Polytechnic University, Hong Kong
Managing Editor
Warut Pannakkong, Sirindhorn International Institute of Technology, Thammasat University, Thailand ORCID
Associate Editors
Irene Fan, The Hong Kong Polytechnic University
Jian Jin, Beijing Normal University, China
Jiangning Wu, Dalian University of Technology, China
Pisal Yenradee, Sirindhorn International Institute of Technology, Thailand
Rossi Setchi, Cardiff University, United Kingdom
Susanne Durst, Tallinn University of Technology, Sweden ORCID
Van Nam Huynh, Japan Advanced Institute of Science and Technology, Japan
Editorial Review Board
Aino Kianto, Lappeenranta University of Technology, Finland
Alessio Ishizaka, University of Portsmouth, United Kingdom
Amal Adak, Ganesh Dutt College, Begusarai, INDIA (Lalit Narayan Mithila University), India ORCID
Andrew Wat, ASTRI
Anthony Soroka, Cardiff University, United Kingdom
Atif Latif, ZBW - German National Library for Economics, Germany
Balamurugan S, Intelligent Research Consultancy Services (iRCS), India ORCID
C.F. Cheung, The Hong Kong Polytechnic University, China
Cathal (C.M.) Brugha, University College Dublin, Ireland
Cecilia Zanni-Merk, Institut national des sciences appliquées de Rouen, France
Ching-Chieh Kiu, UCSI University, Malaysia
Daniel Eyers, Cardiff University, United Kingdom
Elaine Mosconi, Université de Sherbrooke, Canada ORCID
Eric Tsui, The Hong Kong Polytechnic University, Hong Kong
Ewa Ziemba, University of Economics in Katowice, Poland ORCID
Garry Tan Han, Taylor's University, Malaysia, Malaysia ORCID
HaiJiang Li, Cardiff University, United Kingdom
Helio Ferenhof, Universidade Federal de Santa Catarina, Brazil ORCID
Ivan Koychev, University of Sofia, Bulgaria
John Dumay, Macquarie University, Australia
Jun Liu, Ulster University, Northern Ireland, United Kingdom
Kevin O'Sullivan, New York Institue of Technology, United States
Kunio Shirahada, Japan Advanced Institute of Science and Technology, Japan
Kyoich Kijima, Tokyo Institute of Technology, Japan
Ling Tang, Beijing University of Chemical Technology, China
Luisa Huaccho Huatuco, University of York, United Kingdom
Moin Uddin, Riphah International University, Pakistan
Na Dong, Tianjin University, China
Navid Nezafati, Shahid Beheshti University, Iran, Islamic Republic Of
Nuttapong Sanglerdsinlapachai, National Electronics and Computer Technology Center, Thailand
Prantosh Kumar Paul, Raiganj University, India
Rossitza Setchi, Cardiff University, United Kingdom
Sahar Sabagghan, Auckland University, New Zealand
Sajad Fayezi, Swinburne University of Technology, Australia
Shanmuganathan Vasanthapriyan, Sabaragamuwa University of Sri Lanka, Sri Lanka ORCID
Shirley Coleman, Newcastle University, United Kingdom ORCID
Shouyang Wang, Chinese Academy of Sciences, China
Stefania Mariano, Bangkok University, Thailand
Susan Grant, Brunel University, United Kingdom
Tutut Herawan, University of Malaya, Hong Kong
Y. Shi, Chinese Academy of Science, China
Yasuo Kudo, Muroran Institute of Technology, Japan
Yongchuan Tang, Zhejiang University, China


Prospective authors should note that only original and previously unpublished article manuscripts will be considered. Interested authors must consult the Journal Guidelines for Manuscript Submission at PRIOR to submission. Any further questions may be answered at All article manuscript submissions will be forwarded to at least three members of the editorial review board of the journal for a double-blind peer review. The final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers.

All inquiries should be directed to the attention of:

All inquiries regarding IJKSS should be directed to the attention of:

Van Nam Huymh
International Journal of Knowledge and Systems Science