International Journal of Information Systems and Supply Chain Management (IJISSCM)
Emerging Sources Citation Index

International Journal of Information Systems and Supply Chain Management (IJISSCM)

Editor-in-Chief: John Wang (Montclair State University, USA)
Indexed In: Web of Science Emerging Sources Citation Index (ESCI), SCOPUS, Compendex (Elsevier Engineering Index), INSPEC and 17 more indices
Published: Quarterly |Established: 2008
ISSN: 1935-5726|EISSN: 1935-5734|DOI: 10.4018/IJISSCM
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Print Journal:
  • Free shipping on orders $395+
  • Printed-On-Demand (POD)
  • 20% discount on 5+ titles*
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
  • 20% discount on 5+ titles*
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The International Journal of Information Systems and Supply Chain Management (IJISSCM) examines current, state-of-the-art research in the areas of SCM and the interactions, linkages, applications, and support of SCM using information systems. This journal encompasses theoretical, analytical, and empirical research, comprehensive reviews of relevant research, and case studies of effective applications in this area. The use of new technologies, methods, and techniques are emphasized.

Topics Covered

  • Advanced planning and scheduling
  • Artificial intelligence and decision making
  • Bias, misinformation, and disinformation in informing systems
  • Business intelligence and knowledge management
  • Case-Based Reasoning
  • Component-based information systems
  • Computational econometrics
  • Conceptual Modeling
  • Creative decision making and problem solving
  • Customer value and customer relationship management
  • Decision making on supply chain management
  • Decision models for information system design
  • Decision-Making Systems
  • Decision-support systems for supply chain management
  • Demand management
  • E-business and decision making
  • E-commerce and supply chain management
  • Enterprise Information Systems
  • Expert Systems
  • Geographic Information Systems
  • Group support systems and groupware technologies
  • Hybrid Intelligent Systems
  • Implementing and integrating supply chain management
  • Information systems and economic analysis
  • Information systems and organizational behavior
  • Information Systems Security
  • Intelligent systems over the Internet
  • Interfirm networks
  • IT for business forecasting
  • Just-in-time and lean systems
  • Logistics Management
  • Logistics network configuration
  • Management Information Systems
  • Matching supply with demand
  • Modeling and analysis
  • Multimedia and decision making
  • Multiple-objective decision making
  • Optimization and simulation
  • Organizational Information Systems
  • Performance Management
  • Reasoning and decision making under uncertainty
  • Revenue Management
  • Risk Management
  • Strategic information systems and strategic alliances
  • Supplier and customer relationship management
  • Supply chain integration and coordination

Mission and Scope

The International Journal of Information Systems and Supply Chain Management (IJISSCM) provides a practical and comprehensive forum for exchanging novel research ideas or down-to-earth practices which bridge the latest information technology and supply chain management. IJISSCM encourages submissions on how various information systems improve supply chain management, as well as how the advancement of supply chain management tools affects the information systems growth. The aim of this journal is to bring together the expertise of people who have worked with supply chain management across the world for people in the field of information systems.

Table of Contents and List of Contributors

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Open Access Articles
Volume 15: 4 Issues (2022): Forthcoming, Available for Pre-Order
Volume 14: 4 Issues (2021): 2 Released, 2 Forthcoming
Volume 13: 4 Issues (2020)
Volume 12: 4 Issues (2019)
Volume 11: 4 Issues (2018)
Volume 10: 4 Issues (2017)
Volume 9: 4 Issues (2016)
Volume 8: 4 Issues (2015)
Volume 7: 4 Issues (2014)
Volume 6: 4 Issues (2013)
Volume 5: 4 Issues (2012)
Volume 4: 4 Issues (2011)
Volume 3: 4 Issues (2010)
Volume 2: 4 Issues (2009)
Volume 1: 4 Issues (2008)
View Complete Journal Contents Listing

Reviews and Testimonials

In today's research environment, business issues such as supply chain management cannot be cleanly separated from IT issues. Recent advances in information systems such as service-oriented architecture and model driven development create value propositions in supply chain management that are tightly coupled with information systems theory. To be successful, companies that specialize in one of these two areas must partner with other companies that specialize in the other area. This journal offers an opportunity for researchers to discuss key issues that cross both areas. Companies should read this journal carefully.

– Steve Buckley, IBM TJ Watson Research Center, USA

Since information systems play such an important role in supply chain management (SCM), I think this journal is an excellent addition to the current collection of academic journals in the SCM area.

– Paul D. Larson, University of Manitoba, Canada

Information systems and supply chain management are two issues with great importance for efficient operations management in industries and also in the public sector. The IJISSCM journal will present recent theoretical and applied research on information systems and supply chain management.

– Svein Bråthen, Molde University College/Molde Research Institute, Norway

These days it is hard to think of supply chain management without information systems. This journal addresses an important and much-awaited niche that will be of tremendous use to academicians and practitioners.

– Indranil Bose, The University of Hong Kong, Hong Kong

International Journal of Information Systems and Supply Chain Management (IJISSCM) focus on prominent issues on logistics, operations, and information technology. The journal fills a gap and provides a clear synergy between the two closely related yet distinctive areas. I am excited about its prospectus and looking forward to it becoming the leading journal in this important field.

– Dan Zhu, Associate Professor of Management Information Systems, Iowa State University, USA


Editor(s)-in-Chief Biography

John Wang is a professor in the Department of Information & Operations Management at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. Due to his extraordinary contributions beyond a tenured full professor, Dr. Wang has been honored with a special range adjustment in 2006. He has published over 100 refereed papers and seven books. He has also developed several computer software programs based on his research findings.

He is the Editor-in-Chief of International Journal of Applied Management Science, International Journal of Operations Research and Information Systems, and International Journal of Information Systems and Supply Chain Management. He is the Editor of Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (six-volume) and the Editor of the Encyclopedia of Data Warehousing and Mining, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the synergy of operations research, data mining and cybernetics.

Editorial Board

International Advisory Board
Fabio Nonino, Sapienza University of Rome, Italy
Managing Editor
Ruiliang Yan, 4008, United States ORCID
Associate Editors
Abbott Weiss, Massachusetts Institute of Technology, United States
Charu Chandra, University of Michigan-Dearborn, United States
Dan Zhu, Iowa State University, United States
Dharmaraj Veeramani, University of Wisconsin-Madison, United States ORCID
Dirk C. Mattfeld, University of Braunschweig, Germany
Fouad Riane, Catholic University of Mons, Belgium
Hans-Henrik Hvolby, Aalborg University, Denmark
Indranil Bose, Indian Institute of Management Calcutta, India
Jan Riezebos, University of Groningen, Netherlands
K. Ganesh, McKinsey Knowledge Center, McKinsey & Company, India
Metin Çakanyıldırım, University of Texas at Dallas, United States
Ozgun Demirag, Penn State Behrend, United States
Paul Larson, University of Manitoba, Canada
Robert Trent, University of Virginia, United States
Shams Rahman, RMIT University of Australia, Australia
Steve Buckley, IBM Thomas J. Watson Research Center, United States
Editorial Review Board
Albert Tan, Malaysia Institute for Supply Chain Innovation, Malaysia
Amarpreet Kohli, University of Southern Maine, United States
Asher Ramish, University of Management and Technology, Pakistan ORCID
Bin Zhou, University of Houston-Downtown, United States
Carl Rebman, Jr., University of San Diego, United States
Carol Woody, Carnegie Mellon University, United States
Changrui Ren, IBM China Research Lab, China
Dara Schniederjans, University of Rhode Island, United States
Dominik Zimon, Rzeszow University of Technology, Poland ORCID
Fang Zhao, Staffordshire University, Australia ORCID
Gamal Abd El-Nasser A. Said, Port Training Institute, Arab Academy for Science, Technology and Maritime Transport, Egypt ORCID
Gavin Zhang, United States
Goknur Arzu Akyuz, University of Turkish Aeronautical Association, Turkey
Henry Xu, The University of Queensland, Australia
Honggeng Zhou, Zhejiang University, China
Hui-Chuan Chen, University of Tennessee at Martin, United States ORCID
Jan Frick, University of Stavanger, Norway ORCID
Jie Zhang, Midwestern State University, United States
Jitranjan Sahoo ORCID
Li Chen, Fayetteville State University, United States
Min Shi, California State University, United States
Minjoon Jun, New Mexico State University, United States
Mohamad Amin Kaviani, University of Cyprus, Cyprus ORCID
Pak-Lok Poon, Central Queensland University, Australia ORCID
Peter O'Neill, Monash University, Australia
Petr Fiala, University of Economics Prague, Czech Republic ORCID
Prantosh Kumar Paul, Raiganj University, India
Rajagopalan Srinivasan, Indian Institute of Technology Madras, India ORCID
Reza Farzipoor Saen, Sohar University, Oman ORCID
Reza Lotfi, Phd, Industrial engineering, Iran, Islamic Republic Of ORCID
Rika Ampuh Hadiguna, Andalas University, Indonesia ORCID
Samir Yerpude, Symbiosis Centre of Innovation and Research, India
Sang-Bing Tsai, University of Electronic Science and Technology of China Zhongshan Institute, China and Wuyi Univers, Taiwan ORCID
Sathasivam Mathiyalakan, Winston-Salem State University, United States
Seong-Hyun Nam, University of North Dakota, United States
Shoshanah Cohen, Stanford University, United States ORCID
Suprava Devi, India
Surajit Bag, University of Johannesburg, South Africa ORCID
Syed Abdul Rehman Khan, Xuzhou University of Technology, China
Tiaojun Xiao, Nanjing University, China
Tsan-Ming Choi, The Hong Kong Polytechnic University, Hong Kong
Vicky Ching Gu, University of Houston-Clear Lake, United States
Vijayakumar Bharathi. S, Symbiosis Centre for Information Technology, Symbiosis International (Deemed University), India ORCID
Wen Jiang, University of Chicago, United States ORCID
XinSheng Xu, Institute of Industrial Engineering, China
Xiu Guoyi, Harbin University of Science and Technology, China ORCID
Xun Xu, California State University, Stanislaus, United States
Yair Wiseman, Bar-Ilan University, Israel ORCID
Yuyue Song, Memorial University of Newfoundland, Canada
Zhi Pei, The University of Texas at Tyler, United States
Zixia Cao, United States


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 IJISSCM should be directed to the attention of:

John Wang
International Journal of Information Systems & Supply Chain Management