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Digital Economy, Business Analytics, and Big Data Analytics Applications

  • Conference proceedings
  • © 2022

Overview

  • Shares the latest research on digital economy, business analytics, and big data analytics applications
  • Presents the results of the 17th Annual Scientific International Conference for Business (SICB2021)
  • Aids researchers, practitioners, and decisions makers to gain enough knowledge

Part of the book series: Studies in Computational Intelligence (SCI, volume 1010)

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Table of contents (57 papers)

Keywords

About this book

This book is about turning data into smart decisions, knowledge into wisdom and business into business intelligence and insight. It explores diverse paradigms, methodologies, models, tools and techniques of the emerging knowledge domain of digitalized business analytics applications.

The book covers almost every crucial aspect of applied artificial intelligence in business, smart mobile and digital services in business administration, marketing, accounting, logistics, finance and IT management.

This book aids researchers, practitioners and decisions makers to gain enough knowledge and insight on how to effectively leverage data into competitive intelligence.

Editors and Affiliations

  • Business Analytics and Information Systems, Faculty of Business, Al-Zaytoonah University of Jordan, Amman, Jordan

    Saad G. Yaseen

Bibliographic Information

  • Book Title: Digital Economy, Business Analytics, and Big Data Analytics Applications

  • Editors: Saad G. Yaseen

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-031-05258-3

  • 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 2022

  • Hardcover ISBN: 978-3-031-05257-6Published: 27 September 2022

  • Softcover ISBN: 978-3-031-05260-6Published: 28 September 2023

  • eBook ISBN: 978-3-031-05258-3Published: 26 September 2022

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XII, 739

  • Number of Illustrations: 29 b/w illustrations, 101 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence, IT in Business

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