International Journal of Business Analytics (IJBAN)
Emerging Sources Citation Index

International Journal of Business Analytics (IJBAN)

Editor-in-Chief: John Wang (Montclair State University, USA)
Indexed In: Web of Science Emerging Sources Citation Index (ESCI), SCOPUS, INSPEC and 3 more indices
Published: Quarterly |Established: 2014
ISSN: 2334-4547|EISSN: 2334-4555|DOI: 10.4018/IJBAN
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Print Journal:
  • Free shipping on orders $395+
  • Printed-On-Demand (POD)
  • 50% discount on 5+ titles*
  • Immediate access after purchase
  • No DRM
  • ePub with PDF download
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The International Journal of Business Analytics (IJBAN) is an indispensable resource for practitioners and academics that work in Business Analytics and related fields. Business Analytics is commonly viewed from three major perspectives: descriptive, predictive, and prescriptive. Business Analytics provides the framework to exploit the synergies among traditionally-diverse topics, such as the fields of data mining, quantitative methods, OR/MS, DSS, and so forth, in a more practical, application-driven format. The journal bridges the gap among different disciplines such as data mining, business process optimization, applied business statistics, and business intelligence/information systems. The journal supports and provides tools to allow companies and organizations to make frequent, faster, smarter, data-driven, and real-time decisions.

Topics Covered

  • Behavioral sciences
  • Big Data Applications
  • Big Data Management
  • Big data mining and analytics
  • Big data processing tools
  • Big data sharing
  • Big data systems and tools
  • Big Data Theory
  • Big data visualization
  • Business Forecasting
  • Business Intelligence
  • Business Mathematics
  • Collections Analytics
  • Customer Relationship Management
  • Decision making in social setting
  • Decision making under uncertainty
  • Decision making with multimedia
  • Decision sciences
  • Decision theory
  • Digital market design and operation
  • Distributed and federated datasets
  • Distributed file systems for big data
  • Electronic Commerce
  • Ethical Decision Making
  • Financial services analytics
  • Fraud Analytics
  • Fussy information processing
  • Group decision making and software
  • Informatics
  • Information Technology
  • Intelligent agents technologies
  • Intelligent organizations
  • Large data stream processing on cloud
  • Large incremental datasets on cloud
  • Marketing Analytics
  • Mathematical optimization
  • Mathematics of decision sciences
  • Methods of decision making
  • Multiple criteria decision making
  • Multiple source data processing and integration
  • Network and social-graph analysis
  • Optimization
  • Performance Measurement
  • Perspectives of decision making
  • Political decision making
  • Predictive Analysis
  • Pricing analytics
  • Privacy preserving on cloud
  • Public decision making
  • Retail sales analytics
  • Revenue Management
  • Risk and credit analytics
  • Robust decision making
  • Scenario and sensitivity analysis
  • Security and privacy in big data
  • Sequential decision making
  • Simulation methods
  • Statistical decision
  • Styles of decision making
  • Supply chain analytics
  • System analysis and theory
  • Targeted marketing
  • Transportation analytics
  • Volume, velocity and variety of big data on cloud
  • Web-based decision making

Mission and Scope

The main objective of the International Journal of Business Analytics (IJBAN) is to advance the next frontier of decision sciences and provide an international forum for practitioners and researchers in business and governmental organizations—as well as information technology professionals, software developers, and vendors—to exchange, share, and present useful and innovative ideas and work. The journal encourages exploration of different models, methods, processes, and principles in profitable and actionable manners.

Table of Contents and List of Contributors

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Open Access Articles
Volume 9: 4 Issues (2022): Forthcoming, Available for Pre-Order
Volume 8: 4 Issues (2021): 2 Released, 2 Forthcoming
Volume 7: 4 Issues (2020)
Volume 6: 4 Issues (2019)
Volume 5: 4 Issues (2018)
Volume 4: 4 Issues (2017)
Volume 3: 4 Issues (2016)
Volume 2: 4 Issues (2015)
Volume 1: 4 Issues (2014)
View Complete Journal Contents Listing

Reviews and Testimonials

This journal provides an important new venue for interdisciplinary research and applications associated with data-focused decision making.

– Christopher Zobel, Virginia Tech

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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
Mark von Rosing, Global University Alliance, France
Managing Editor
Ray Cao, University of Houston-Downtown, United States
Associate Editors
Christopher Zobel, Virginia Tech, United States
Fernando Oliveira, ESSEC Business School, France
Hiroshi Sasaki, Rikkyo University, Japan
Irad Ben-Gal, Tel Aviv University, Israel
Jihong Guan, Tongji University, China
Olivera Marjanovic, University of Sydney, Australia
Roman Słowiński, Poznań University of Technology, Poland
Seock-Jin Hong, Bordeaux School of Management, France
Sylvain Jaume, Saint Peter's University, United States
Young M. Lee, IBM T.J. Watson Research Center, United States
Editorial Review Board
Ajay Swain, Saint Mary's University, United States
Ali Dehghan, California Lutheran University, United States
Ali Ekici, University of Houston, United States
Asil Oztekin, University of Massachusetts - Lowell, United States
Bibhas Giri, Jadavpur University, India
Burak Kurtun, Omnicom Media Group, United States ORCID
Christopher Garcia, University of Mary Washington, United States
Chun Cheng, Logistics and Supply Chain R&D Multitech Centre, China
Chung-Li Tseng, University of New South Wales, Australia
Dara Schniederjans, University of Rhode Island, United States
Dean Chatfield, Old Dominion University, United States
Dimiter Velev, University of National and World Economy, Bulgaria
Emilyn Cabanda, Regent University, United States
Federica Ceci, Università G. d'Annunzio, Italy
Guangping (Walter) Wang, The Pennsylvania State University, United States
Haiyan Su, Montclair State University, United States
Hao Peng, Academy of Mathematics and Systems Science, China
Hao Zhang, University of Maryland, United States
Heping Liu, North Dakota State University, United States
Herman Monsuur, Netherlands Defence Academy, Netherlands
Hugh Crews, PharPoint Research, United States
Iljoo Kim, Saint Joseph’s University, United States
Isaac Elking, University of Houston - Downtown, United States
J. Michael Hardin, Samford University, United States
Jan Riezebos, University of Groningen, Netherlands
Jesus Rodriguez, École Polytechnique de Montréal, Canada
Juan Ruiz, Visual Mesa LLC, United States
Junmin Shi, Georgia State University, United States
Lara Khansa, Virginia Polytechnic Institute and State University, United States
Lincoln Wood, University of Otago, New Zealand ORCID
Lokesh Bisht, DoorDash inc, United States ORCID
Maximilian Etschmaier, San Diego State University, United States
Meyyappan Narayanan, Fairleigh Dickinson University, United States
Michael Crotty, SAS Institute Inc, United States
Mohamad Amin Kaviani, University of Cyprus, Cyprus ORCID
Myong Jeong, Rutgers University, United States
naveen mehta
Nicholas Alessandrini, Montclair State University, United States
Nikolaos Adamou, The City University of New York, United States
Oleg Okun, Cognizant Solutions GmbH, Germany
Peng Zhao, Saint Peter's University, United States
Petros Xanthopoulos, University of Central Florida, United States
Pinyarat Sirisomboonsuk, The University of Texas Permian Basin, United States ORCID
Qingyu Yang, Wayne State University, United States
Shokoufeh Mirzaei, California State Polytechnic University, United States
sukhmani mann
Theodore Allen, The Ohio State University, United States
Tom Groleau, Carthage College, United States
Tugrul Daim, Portland State University, United States
Varun Mahajan
Vicky Ching Gu, University of Houston-Clear Lake, United States
Victor Cavalcante, Motorola Mobility, Brazil
Vishal Bhatnagar, Ambedkar Institute of Advanced Communication Technologies & Research, India
Wieslaw Urban, Bialystok University of Technology, Poland
William P. Fox, Naval Postgraduate School, United States
Xiangyong Li, Tongji University, China
Xugang Ye, Johns Hopkins University and Microsoft, United States
Yang Cheng, University of Wisconsin at Madison, United States
Ye Ouyang, Verizon Wireless, United States
Youqin Pan, Salem State University, United States
Yuri Pavlov, Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Bulgaria ORCID
Zhijian Cui, IE Business School, Spain
Zhiwei (Tony) Qin, Walmart Labs, 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 IJBAN should be directed to the attention of:

John Wang