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The Effect of Coronavirus Disease (COVID-19) on Business Intelligence

  • Book
  • © 2021

Overview

  • Presents effects of Coronavirus Disease (COVID-19) on Business Intelligent Systems that cooperate with machine learning and business intelligence
  • Demonstrates how Business Intelligence can help companies to improve productivity, quality, customer service, and more
  • Written by experts in the field

Part of the book series: Studies in Systems, Decision and Control (SSDC, volume 334)

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Table of contents (22 chapters)

  1. Intelligent Data Analysis

  2. E-payment/M-payment Systems and E-learning

Keywords

About this book

This book includes recent research works on how business around the world affected by the time of COVID-19 pandemic.

The impact of recent technological developments has had a tremendous impact on how we manage disasters. These developments have changed how countries and governments collect information. The COVID-19 pandemic has forced online service companies to maintain and build relationships with consumers when their world turns. Businesses are now facing tension between generating sales during a period of severe economic hardship and respect for threats to life and livelihoods that have changed consumer preferences.


Editors and Affiliations

  • Department of Management, College of Business Administration, University of Sharjah, Sharjah, United Arab Emirates

    M.T. Alshurideh

  • Faculty of Computer and Artificial Intellgence, Cairo University, Cairo, Egypt

    Aboul Ella Hassanien

  • The University of Jordan, Aqaba, Jordan

    Ra’ed Masa’deh

Bibliographic Information

  • Book Title: The Effect of Coronavirus Disease (COVID-19) on Business Intelligence

  • Editors: M.T. Alshurideh, Aboul Ella Hassanien, Ra’ed Masa’deh

  • Series Title: Studies in Systems, Decision and Control

  • DOI: https://doi.org/10.1007/978-3-030-67151-8

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021

  • Hardcover ISBN: 978-3-030-67150-1Published: 03 April 2021

  • Softcover ISBN: 978-3-030-67153-2Published: 03 April 2022

  • eBook ISBN: 978-3-030-67151-8Published: 02 April 2021

  • Series ISSN: 2198-4182

  • Series E-ISSN: 2198-4190

  • Edition Number: 1

  • Number of Pages: IX, 404

  • Number of Illustrations: 7 b/w illustrations, 53 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence

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