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

  • Book
  • © 2021

Overview

Editors:
  1. Abdalmuttaleb M. A. Musleh Al-Sartawi

    1. Accounting Finance and Banking, Ahlia University, Manama, Bahrain

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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

Part of the book series: Studies in Computational Intelligence (SCI, volume 974)

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Table of contents (34 chapters)

  1. Front Matter

    Pages i-xvi
    Download chapter PDF

  2. Leveraging Big Data to Accelerate Supply Chain Management in Covid-19

    • Ruchika Gupta, Priyank Srivastava, Shubham Sharma, Melfi Alrasheedi
    Pages 1-19

  3. Mobile Computing Technologies for Enhanced Living Environments: A Literature Review

    • Salome Oniani, Salome Mukhashavria, Gonçalo Marques, Vera Shalikiani, Ia Mosashvili
    Pages 21-32

  4. Sentiment Analysis for Modern Standard Dialect Using Genetic Folding Algorithm

    • Mohammad A. Mezher
    Pages 33-46

  5. The Usage of E- Learning Among Mass Communication Students

    • Mahmoud Gamal Sayed Abd Elrahman, Abdulsadek Hassan, Hanan Gunied, Kadhim Moans Aziz Al Saedi, Fahema Abdulla Mohammed
    Pages 47-57

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

    • Kamelia Moh’d Khier Al Momani, Nurasyikin Jamaludin, Wan Zalani Wan Zanani Wan Abdullah, Abdul-Naser Ibra-him Nour
    Pages 59-76

  7. Machine Learning and Earnings Management Detection

    • Zakeya Sanad
    Pages 77-83

  8. Artificial Intelligence and IT Governance: A Literature Review

    • Anjum Razzaque
    Pages 85-97

  9. Blending of Physicians’ Leadership and Decision-Making Style Within Virtual Platforms for Improving Service Quality

    • Anjum Razzaque, Magdalena Karolak
    Pages 99-109

  10. Social Capital Improves Virtually Shared Learner for Enhancing Their Readiness to Learn

    • Anjum Razzaque
    Pages 111-117

  11. Game-Based Learning: Recommendations Driven from Literature

    • Azam Abdelhakeem Khalid, Adel M. Sarea, Azzam Hannoon, Abdalmuttaleb M. A. Musleh Al-Sartawi
    Pages 119-124

  12. Utilizing Blockchain Technology to Manage Functional Areas in Healthcare Systems

    • Esha Saha, Pradeep Rathore, Ashna Gigi
    Pages 125-139

  13. Fintech and Entrepreneurship Boosting in Developing Countries: A Comparative Study of India and Egypt

    • Hebatallah Adam
    Pages 141-156

  14. Role of Artificial Intelligence During the Covid-19 Era

    • Husain Alansari, Oksana Gerwe, Anjum Razzaque
    Pages 157-173

  15. Improved Safety On-board Using Augmented Reality Technology as a Training Tool

    • Dimitrios Frossinis, Nikos Anaxagora, Elena Chatzopoulou
    Pages 175-189

  16. Online Paying Happily to Buy Pain in Electronic Games: The Marketing Mystery

    • Hanin Al Balushi, Vinay Gupta, Araby Madbouly, Sameh Reyad
    Pages 191-202

  17. The Role of Higher Education Institutions in Building the E-innovation System in the Sultanate of Oman

    • Araby Madbouly, Sameh Reyad
    Pages 203-211

  18. Foreign Currency Exchange Rate Prediction Using Bidirectional Long Short Term Memory

    • Rony Kumar Datta, Sad Wadi Sajid, Mahmudul Hasan Moon, Mohammad Zoynul Abedin
    Pages 213-227

  19. Board of Directors Composition and Social Media Financial Disclosure: The Case of the United Arab Emirates

    • Azzam Hannoon, Yousif Abdelbagi Abdalla, Abdalmuttaleb M. A. Musleh Al-Sartawi, Azam Abdelhakeem Khalid
    Pages 229-241

  20. Exploring Organizational Strategies for Development of Digital Skills: A Case Study

    • Gianluca Prezioso, Emanuele Gabriel Margherita
    Pages 243-259
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Keywords

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.


Editors and Affiliations

  • Accounting Finance and Banking, Ahlia University, Manama, Bahrain

    Abdalmuttaleb M. A. Musleh Al-Sartawi

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

  • DOI: https://doi.org/10.1007/978-3-030-73057-4

  • 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: 978-3-030-73056-7Published: 29 May 2021

  • Softcover ISBN: 978-3-030-73059-8Published: 30 May 2022

  • eBook ISBN: 978-3-030-73057-4Published: 28 May 2021

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: XVI, 472

  • Number of Illustrations: 15 b/w illustrations, 27 illustrations in colour

  • Topics: Data Engineering, Computational Intelligence, Big Data

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