Studies in Computational Intelligence

The Big Data-Driven Digital Economy: Artificial and Computational Intelligence

Editors: Musleh Al-Sartawi, Abdalmuttaleb M. A. (Ed.)

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  • Discusses the implications of both AI and CI in the era of the digital economy
  • Provides a holistic perspective on a wide range of topics including intelligence education, economics, finance, sustainability, ethics, governance, cybersecurity, and knowledge management
  • Investigates various Computational Intelligence concepts which are currently shaping the digital economy such as Artificial Intelligence and Blockchain
  • Focuses on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and intelligence
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eBook 128,39 €
price for Spain (gross)
  • ISBN 978-3-030-73057-4
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  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • ISBN 978-3-030-73056-7
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  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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About this book

This book shows digital economy has become one of the most sought out solutions to sustainable development and economic growth of nations. This book discusses the implications of both artificial intelligence and computational intelligence in the digital economy providing a holistic view on AI education, economics, finance, sustainability, ethics, governance, cybersecurity, blockchain, and knowledge management. Unlike other books, this book brings together two important areas, intelligence systems and big data in the digital economy, with special attention given to the opportunities, challenges, for education, business growth, and economic progression of nations. The chapters hereby focus on how societies can take advantage and manage data, as well as the limitations they face due to the complexity of resources in the form of digital data and the intelligence which will support economists, financial managers, engineers, ICT specialists, digital managers, data managers, policymakers, regulators, researchers, academics, students, economic development strategies, and the efforts made by the UN towards achieving their sustainability goals.


Table of contents (34 chapters)

Table of contents (34 chapters)
  • Leveraging Big Data to Accelerate Supply Chain Management in Covid-19

    Pages 1-19

    Gupta, Ruchika (et al.)

  • Mobile Computing Technologies for Enhanced Living Environments: A Literature Review

    Pages 21-32

    Oniani, Salome (et al.)

  • Sentiment Analysis for Modern Standard Dialect Using Genetic Folding Algorithm

    Pages 33-46

    Mezher, Mohammad A.

  • The Usage of E- Learning Among Mass Communication Students

    Pages 47-57

    Abd Elrahman, Mahmoud Gamal Sayed (et al.)

  • The Influence of Relational Capital on the Relationship Between Intellectual Capital and Earnings Per Share in the Digital Economy in the Jordanian Industrial Sector

    Pages 59-76

    Momani, Kamelia Moh’d Khier (et al.)

Buy this book

eBook 128,39 €
price for Spain (gross)
  • ISBN 978-3-030-73057-4
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 166,39 €
price for Spain (gross)
  • ISBN 978-3-030-73056-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
The Big Data-Driven Digital Economy: Artificial and Computational Intelligence
Editors
  • Abdalmuttaleb M. A. Musleh Al-Sartawi
Series Title
Studies in Computational Intelligence
Series Volume
974
Copyright
2021
Publisher
Springer International Publishing
Copyright Holder
The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
eBook ISBN
978-3-030-73057-4
DOI
10.1007/978-3-030-73057-4
Hardcover ISBN
978-3-030-73056-7
Series ISSN
1860-949X
Edition Number
1
Number of Pages
XVI, 472
Number of Illustrations
15 b/w illustrations, 27 illustrations in colour
Topics