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Cyber Security Impact on Digitalization and Business Intelligence
CSDBI
Aim and Scope
Cyber Security Impact on Digitalization and Business Intelligence book takes a futuristic approach by bringing in research and contributions that support addressing the impact of advanced technologies on business intelligence. Artificial intelligence AI, blockchain, IoT, cyber security, big data, robotics, automation, and supply chain 4.0 are a few of those keywords that are seemingly entering business digitalization and reshaping the operations of businesses. This book serves as a guide in Digitalization, Cyber Security & Privacy for supply chain 4.0. Moreover, presents recent research on intelligent and automated computing systems for business operations. In addition, it provides original research papers with knowledge contribution and practical solutions for manufacturing and service-oriented businesses. This book provides an opportunity for academicians as well as researchers to innovate, contribute creative ideas regarding the ongoing trends that help them in formulating problems of their interest.
Topics
Scope suggests linking Business Operations & Supply Chain with following but not limited to:
1- Big Data & Data Analytics 2- Cyber Security & Privacy
3- Blockchain Technology 4- Internet of Things
5- Machine Learning 6- Web, Networking & Communication
7- Intelligent Information Systems 8- Business Analytics
9- e-Learning & m-Learning Systems 10- Operations Optimization & Supply chain 4.0
Editors
1- Dr. Haitham M. Alzoubi, Skyline University College, UAE
2- Dr. Taher M. Ghazal, Skyline University College, UAE
3- Dr. Muhammad Alshurideh, University of Sharjah, UAE
4- Dr. Shehzad Ahmed, University of the West of Scotland, UK
5- Prof. Mohamed Alnuaimi, University of Jordan, Jordan
Important Dates
Paper (Chapter) Submission: August 31, 2022
First Round Decision: September 15, 2022
Revised Chapter Submission: September 28, 2022
Final Decision Notification: September 30, 2022
Publication
This book is scheduled to be published in Studies in Big Data Series, Springer https://www.springer.com/series/11970
Indexing
The Studies in Big Data Series, Springer is SCOPUS indexed https://www.scopus.com/sourceid/21101054326?origin=resultslist
Paper (Chapter) Submission
Please submit your Paper (Chapter) in “WORD” file to: csdbi@gaftim.com / haitham_zubi@yahoo.com
Paper format and Guidelines
Follow Springer paper format. Download sample from Springer website:
https://www.springer.com/gp/authors-editors/journal-author/word-template-zip-154-kb-/22044
Note: All references MUST be added through Mendeley “ONLY”