Description
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
Open Access Articles: Forthcoming
Volume 12: 4 Issues (2021): 2 Released, 2 Forthcoming
Volume 12: 4 Issues (2021): Forthcoming, Available for Pre-Order
Volume 11: 4 Issues (2020)
Volume 11: 4 Issues (2020): Forthcoming, Available for Pre-Order
Volume 10: 4 Issues (2019)
Volume 10: 4 Issues (2019): Forthcoming, Available for Pre-Order
Volume 9: 4 Issues (2018)
Volume 9: 4 Issues (2018): Forthcoming, Available for Pre-Order
Volume 8: 4 Issues (2017)
Volume 8: 4 Issues (2017): Forthcoming, Available for Pre-Order
Volume 7: 4 Issues (2016)
Volume 7: 4 Issues (2016): Forthcoming, Available for Pre-Order
Volume 6: 4 Issues (2015)
Volume 6: 4 Issues (2015): Forthcoming, Available for Pre-Order
Volume 5: 4 Issues (2014)
Volume 5: 4 Issues (2014): Forthcoming, Available for Pre-Order
Volume 4: 4 Issues (2013)
Volume 4: 4 Issues (2013): Forthcoming, Available for Pre-Order
Volume 3: 4 Issues (2012)
Volume 3: 4 Issues (2012): Forthcoming, Available for Pre-Order
Volume 2: 4 Issues (2011)
Volume 2: 4 Issues (2011): Forthcoming, Available for Pre-Order
Volume 1: 4 Issues (2010)
Volume 1: 4 Issues (2010): Forthcoming, Available for Pre-Order
Indices
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
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W.B. Lee, Knowledge Management and Innovation Research Centre - The Hong Kong Polytechnic University, Hong Kong
- Managing Editor
- Associate Editors
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Irene Fan, The Hong Kong Polytechnic University
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Jian Jin, Beijing Normal University, China
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Jiangning Wu, Dalian University of Technology, China
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Pisal Yenradee, Sirindhorn International Institute of Technology, Thailand
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Rossi Setchi, Cardiff University, United Kingdom
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Susanne Durst, Tallinn University of Technology, Sweden
https://orcid.org/0000-0001-8469-2427 -
Van Nam Huynh, Japan Advanced Institute of Science and Technology, Japan
- Editorial Review Board
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Aino Kianto, Lappeenranta University of Technology, Finland
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Alessio Ishizaka, University of Portsmouth, United Kingdom
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Amal Adak, Ganesh Dutt College, Begusarai, INDIA (Lalit Narayan Mithila University), India
https://orcid.org/0000-0002-3644-782X
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Andrew Wat, ASTRI
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Anthony Soroka, Cardiff University, United Kingdom
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Atif Latif, ZBW - German National Library for Economics, Germany
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Balamurugan S, Albert Einstein Engineering and Research Labs, India
https://orcid.org/0000-0003-3428-3849
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C.F. Cheung, The Hong Kong Polytechnic University, China
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Cathal (C.M.) Brugha, University College Dublin, Ireland
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Cecilia Zanni-Merk, Institut national des sciences appliquées de Rouen, France
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Ching-Chieh Kiu, UCSI University, Malaysia
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Daniel Eyers, Cardiff University, United Kingdom
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Elaine Mosconi, Université de Sherbrooke, Canada
https://orcid.org/0000-0001-5579-9997
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Eric Tsui, The Hong Kong Polytechnic University, Hong Kong
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Ewa Ziemba, University of Economics in Katowice, Poland
https://orcid.org/0000-0002-1084-7497
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Garry Tan Han, Taylor's University, Malaysia, Malaysia
https://orcid.org/0000-0003-2974-2270
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HaiJiang Li, Cardiff University, United Kingdom
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Helio Ferenhof, Universidade Federal de Santa Catarina, Brazil
https://orcid.org/0000-0001-5167-0838
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Ivan Koychev, University of Sofia, Bulgaria
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John Dumay, Macquarie University, Australia
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Jun Liu, Ulster University, Northern Ireland, United Kingdom
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Kevin O'Sullivan, New York Institue of Technology, United States
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Kunio Shirahada, Japan Advanced Institute of Science and Technology, Japan
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Kyoich Kijima, Tokyo Institute of Technology, Japan
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Ling Tang, Beijing University of Chemical Technology, China
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Luisa Huaccho Huatuco, University of York, United Kingdom
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Moin Uddin, Riphah International University, Pakistan
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Na Dong, Tianjin University, China
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Navid Nezafati, Shahid Beheshti University, Iran, Islamic Republic Of
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Nuttapong Sanglerdsinlapachai, National Electronics and Computer Technology Center, Thailand
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Prantosh Kumar Paul, Raiganj University, India
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Rossitza Setchi, Cardiff University, United Kingdom
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Sahar Sabagghan, Auckland University, New Zealand
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Sajad Fayezi, Swinburne University of Technology, Australia
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Shanmuganathan Vasanthapriyan, Sabaragamuwa University of Sri Lanka, Sri Lanka
https://orcid.org/0000-0002-0597-0263
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Shirley Coleman, Newcastle University, United Kingdom
https://orcid.org/0000-0002-2291-4765
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Shouyang Wang, Chinese Academy of Sciences, China
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Stefania Mariano, Bangkok University, Thailand
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Susan Grant, Brunel University, United Kingdom
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Tutut Herawan, University of Malaya, Hong Kong
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Y. Shi, Chinese Academy of Science, China
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Yasuo Kudo, Muroran Institute of Technology, Japan
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Yongchuan Tang, Zhejiang University, China
Submission
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 https://www.igi-global.com/publish/contributor-resources/journal-guidelines-for-submission/?titleid=1169 PRIOR to submission. Any further questions may be answered at https://www.igi-global.com/publish/contributor-resources/before-you-write/. 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
Editor-in-Chief
International Journal of Knowledge and Systems Science
E-mail: huynh@jaist.ac.jp