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Research topics business intelligence

Apr 14, 2018

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Computer Weekly buyer's guide to customer insight

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Posted: 20 Mar 2018 | Published: 20 Mar 2018

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TOPICS:  Business Intelligence | CRM ComputerWeekly.com

Information Governance Catalog

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Posted: 16 Mar 2018 | Published: 31 Jan 2017

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TOPICS:  Business Intelligence | Data Governance | Data Integration | Data Management IBM

There are always two people in every picture: the photographer and the viewer. Ansel Adams Love is a really scary thing, and you never know what's going to happen. It's one of the most beautiful things in life, but it's one of the most terrifying. It's worth the fear because you have more knowledge, experience, you learn from people, and you have memories. Ariana Grande

Description

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.

Topics Covered

Mission and Scope

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.

Table of Contents and List of Contributors

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Open Access Articles: Forthcoming

Volume 10: 2 Issues (2019): 0 Released, 2 Forthcoming

Volume 10: 2 Issues (2019): Forthcoming, Available for Pre-Order

Volume 9: 2 Issues (2018): 0 Released, 2 Forthcoming

Volume 9: 2 Issues (2018): Forthcoming, Available for Pre-Order

Volume 8: 2 Issues (2017)

Volume 8: 2 Issues (2017): Forthcoming, Available for Pre-Order

Volume 7: 2 Issues (2016)

Volume 7: 2 Issues (2016): Forthcoming, Available for Pre-Order

Volume 6: 2 Issues (2015)

Volume 6: 2 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

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Indices

Editorial Board

International Advisory Board
Michael Gendron, Central Conneticut State University, United States
Associate Editors
Lois Archibald, Saint Joseph’s University, United States
Thomas H. Davenport, Babson College, United States
John Edwards, Aston University, United Kingdom
Donald Farmer, Microsoft, United States
Bo Han, Texas A&M; University Commerce, United States
Omar Hussain, Australian Defence Force Academy, Australia
Kihyun Kim, Jacksonville State University, United States
Herbet Kirk, SAS Institute, United States
Shah Miah, Victoria University, Australia
Dorothy Miller, Industry Consultant in Business Intelligence, United States
Virginia Miori, Saint Joseph's University, United States
Hamid Nemati, University of North Carolina at Greensboro, United States
Kok-Leong Ong, La Trobe University, Australia
Aleš Popovič, University of Ljubljana, Slovenia
Patricia Rafferty, Saint Joseph's University, United States
Bharatendra Rai, University of Massachusetts Dartmouth, United States
Michael Rappa, North Carolina State University, United States
Gregory Richards, University of Ottawa, Canada
Benjamin Shao, Arizona State University, United States
Robert St. Louis, Arizona State University, United States
Zhaohao Sun, Papua New Guinea University of Technology, Papua New Guinea
Barbara Wixom, University of Virginia, United States
Siew Fan Wong, Sunway University, Malaysia
Leyla Zhuhadar, Western Kentucky University, United States
Editorial Review Board
Rehan Akbar, Universiti Tunku Abdul Rahman, Malaysia
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
Ana Azevedo, ISCAP-P.PORTO, Portugal
Kolawole Bamiduro, Meerut Institute of Engineering and Technology, India
Yee Ling Boo, RMIT University, Australia
Jongbok Byun, Point Loma Nazarene University, United States
Tristan Chong, Xi'an Jiaotong - Liverpool University, China
Wou Onn Choo, UCSI University, Malaysia
Tingting Chung, Chatham University, United States
Ma Concepcion, De La Salle University, Philippines
Sergio Davalos, University of Washington Tacoma, United States
Catherine Dwyer, Pace University, United States
Mong Shan Ee, Deakin University, Australia
Ahmed Elragal, German University in Cairo, Egypt
Mohamed Fayad, San Jose State University, United States
Jamel FEKI, Faculty of Computing and IT, University of Jeddah, Saudi Arabia
Shijia Gao, Monash University, Australia
Elena Gortcheva, University of Maryland University College, United States
Rugayah Hashim, Universiti Teknologi MARA, Malaysia
Ali Koyuncugil, Capital Markets Board of Turkey, Turkey
Anil Kumar, BML Munjal University, India
Navin Kumar, University of Maryland, Baltimore County, United States
Michael Lane, University of Southern Queensland, Australia
Olivera Marjanovic, University of Sydney, Australia
Donna McCloskey, Widener University, United States
Ido Millet, Penn State Behrend, United States
Joseph Morabito, Stevens Insitute of Technology, United States
Boon Ooi, Universiti Tunku Abdul Rahman, Malaysia
Nermin Ozgulbas, Baskent University, Turkey
Paolo Pasini, Bocconi University - SDA Bocconi School of Management, Italy
Prantosh Kumar Paul, Raiganj University, India
Shana Ponelis, University of Wisconsin-Milwaukee / University of Pretoria, United States
Manjeet Rege, University of St. Thomas, United States
Jie Ren, Fordham University, United States
Parag Sanghani, Skyline University College, India
Surendra Sarnikar, Dakota State University, United States
Maha Shakir, Zayed University, United Arab Emirates
Binod Singh, University of Petroleum & Energy Studies, India
Marco Spruit, Utrecht University, Netherlands
Frantisek Sudzina, Aalborg University, Denmark
Arun Sundararaman, Accenture, India
Faisal Talib, Aligarh Muslim University, India
M. Tomblin, Marshall University, United States
Olgerta Tona, Lund University, Sweden
Hong Wang, North Carolina A&T; State University, United States
Doris Wong, Universiti Teknologi Malaysia, Malaysia
John Yi, Saint Joseph’s University, United States
Xihui Zhang, University of North Alabama, United States
Yinle Zhou, IBM, United States

Submission

Prospective authors should note that only original and previously unpublished articles will be considered. INTERESTED AUTHORS MUST CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at

Prospective authors should note that only original and previously unpublished articles will be considered. INTERESTED AUTHORS MUST CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/journals/guidelines-for-submission.aspx PRIOR TO SUBMISSION. All article submissions will be forwarded to at least 3 members of the Editorial Review Board of the journal for double-blind, peer review. Final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers. All submissions must be forwarded electronically.

All submissions and inquiries should be directed to the attention of:

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

William Yeoh
Editor-in-Chief
E-mail:

All manuscript submissions to IJBIR should be sent through the online submission system:

http://www.igi-global.com/authorseditors/titlesubmission/newproject.aspx

William YeohEditor-in-ChiefE-mail: [email protected]

The mission of theis 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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