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International Journal of Business Intelligence Research (IJBIR)
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International Journal of Business Intelligence Research (IJBIR)

Published Quarterly. Est. 2010.
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ISSN: 1947-3591|EISSN: 1947-3605|DOI: 10.4018/IJBIR|
Cite Journal


Miori, Virginia M. "International Journal of Business Intelligence Research (IJBIR)." (2010). Web. 9 Feb. 2016. doi:10.4018/IJBIR


Miori, V. M. (2010). International Journal of Business Intelligence Research (IJBIR). doi:10.4018/IJBIR


Miori, Virginia M. "International Journal of Business Intelligence Research (IJBIR)," (2010), accessed (February 09, 2016), doi:10.4018/IJBIR

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The International Journal of Business Intelligence Research (IJBIR) is a peer-reviewed publication dedicated to exchanging the latest academic research and practical findings on all aspects of managing business intelligence in organizations. IJBIR serves to improve the role, scope, and impact of BI on decision making and to provide a mechanism for sharing research to a global audience. This journal publishes original research and case studies by academic, business, and government contributors on strategies, tools, techniques, and technologies for business intelligence. Providing a global forum for the investigation and reporting of diverse aspects and issues that affect business intelligence, IJBIR targets researchers, practitioners, academicians, knowledge management researchers, and other industry-related experts. The journal examines all aspects of the business intelligence discipline, including organizational issues, technological developments, educational issues, and analytical techniques that foster or inhibit evidence-based decision-making in organizations. This journal provides a global forum for the investigation and reporting of diverse aspects and issues that affect business intelligence. IJBIR promotes submissions from all regions of the world that address the theories and practices that impact the field of business intelligence.


Journal Contents

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Volume 7: 4 Issues (2016): Forthcoming, Available for Pre-Order
Volume 6: 1 Issue (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)
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The mission of the International Journal of Business Intelligence Research (IJBIR) is to advance research in the field of business intelligence and analytics. IJBIR is a peer-reviewed publication dedicated to the exchange of the latest ideas and research on all aspects of practicing and managing business intelligence in organizations. This journal publishes original research, case studies, and critical analyses by academic, business, and government contributors on strategies, practices, techniques, and technologies that advance the understanding and practice of business intelligence. The focus of this journal is to identify innovative business intelligence strategies and to assess the application of theoretical concepts to real-world situations. IJBIR takes a multidisciplinary approach to the examination of business intelligence.


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Topics Covered

  • Analyses of business intelligence applications and analytics
  • Best practices in business intelligence
  • Business intelligence and CRM
  • Business intelligence and market basket analysis
  • Business intelligence education
  • Business intelligence in small and medium enterprises
  • Business intelligence technology utilization in organizations
  • Business intelligence training issues
  • Case studies in business intelligence
  • Critical assessments of business intelligence solutions
  • Critical success factors in business intelligence adoption and practice
  • Data warehousing and data mining strategies for business intelligence
  • Development of business intelligence architectures
  • Enablers and inhibitors for business intelligence
  • Examination of the use of analytics in support of business processes and decision-making
  • Global issues in business intelligence
  • Group practices in business intelligence
  • Issues pertaining to analyst/decision-maker interactions
  • Knowledge transfer and sharing behaviors in business intelligence
  • Methodologies and processes for managing business intelligence activities
  • Metrics and their effectiveness in business intelligence analyses
  • Organizational culture and its impact on business intelligence
  • Relationship between knowledge management and business intelligence
  • Retail business intelligence and analytics
  • Theories that enlighten business intelligence & decision-making
  • Trends in business intelligence research
  • Using business intelligence for security analysis and fraud detection

Editor(s)-in-Chief Biography

Virginia Miori, PhD, is an Associate Professor at Saint Joseph’s University in Philadelphia, Pennsylvania. She is a graduate of the LeBow College of Business at Drexel University, holding a doctoral degree in Operations Research. She also holds an MS in Operations Research from Case Western Reserve University and an MS in Transportation from the University of Pennsylvania. Dr. Miori has 14 years of teaching experience and over twelve years of experience in developing and implementing statistical and operations research models in industry. She is active in research in the areas of supply chain, scheduling and predictive analytics and has received an Emerald Literati Network Award for Excellence, an Outstanding Research award and an Outstanding Dissertation award. Dr. Miori is also active in professional organizations and service to her university.

Editorial Board

Associate Editors
Lois Archibald, Saint Joseph’s University, United States
Mark Conway, Oracle, United States
Thomas H. Davenport, Babson College, United States
John Edwards, Aston University, United Kingdom
Donald Farmer, Microsoft, United States
Herbet Kirk, SAS Institute, United States
Ronald K. Klimberg, Saint Joseph’s University, United States
Dorothy Miller, Industry Consultant in Business Intelligence, United States
Hamid Nemati, University of North Carolina at Greensboro, United States
Patricia Rafferty, Saint Joseph's University, United States
Michael Rappa, North Carolina State University, United States
Benjamin Shao, Arizona State University, United States
Robert St. Louis, Arizona State University, United States
David Steiger, The University of Maine, United States
Barbara Wixon, University of Virginia, United States
Editorial Review Board
Maged Ali, Brunel University, United Kingdom
Paul Alpar, Philipps University at Marburg, Germany
Chandra Amaravadi, Western Illinois University, United States
Ezendu Ariwa, University of Bedfordshire, United Kingdom
Kolawole Bamiduro, Meerut Institute of Engineering and Technology, India
Jongbok Byun, Point Loma Nazarene University, United States
Sergio Davalos, University of Washington Tacoma, United States
Catherine Dwyer, Pace University, United States
Ahmed Elragal, German University in Cairo (GUC), Egypt
Mohamed Fayad, San Jose State University, United States
Jamel Feki, University of Sfax, Tunisia
Rugayah Hashim, Universiti Teknologi MARA (UiTM), Malaysia
Stephan König, Hochschule Hannover, Germany
Ali Koyuncugil, Capital Markets Board of Turkey, Turkey
Michael Lane, University of Southern Queensland, Australia
Olivera Marjanovic, University of Sydney, Australia
Donna McCloskey, Widener University, United States
Ido Millet, Penn State Erie, United States
Nermin Ozgulbas, Baskent University, Turkey
Paolo pAsini, Bocconi University - SDA Bocconi School of Management, Italy
Shana Ponelis, University of Wisconsin-Milwaukee / University of Pretoria, United States
Parag Sanghani, Ahmedabad University, India
Maha Shakir, Zayed University, United Arab Emirates
Marco Spruit, Utrecht University, Netherlands
Frantisek Sudzina, Aalborg University, Denmark
Zhaohao Sun, PNG University of Technology, Papua New Guinea
Faisal Talib, Aligarh Muslim University, India
M. Tomblin, Marshall University, United States
Hong Wang, North Carolina A&T State University, United States
John Yi, Saint Joseph’s University, United States
Xihui Zhang, University of North Alabama, United States
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