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Current and Future Trends on Intelligent Technology Adoption

Volume 2

  • Book
  • Jul 2024
  • Latest edition

Overview

  • Presents current and future Trends on Intelligent Technology Adoption
  • Focuses on the advancement of knowledge and understanding of the adoption and impact of emerging technologies
  • Presents recent research involving the employment of theoretical models, techniques, and emerging technologies

Part of the book series: Studies in Computational Intelligence (SCI, volume 1161)

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Keywords

  • Computational Intelligence
  • Technology Acceptance
  • Technology Adoption
  • Continued Use
  • Theoretical Models
  • Theoretical Frameworks
  • Partial Least Squares Structural Equation Modeling (PLS-SEM)
  • Necessary Condition Analysis (NCA)
  • Artificial Neural Networks (ANNs)
  • Adaptive Neuro-Fuzzy Inference System (ANFIS)
  • Fuzzy-Set Qualitative Comparative Analysis (FsQCA)

About this book

This book explores current and future trends in adopting intelligent technologies among individuals and organizations. The edited book includes empirical and review studies primarily focusing on these issues. This focus aids scholars in conducting future research in the domain and identifying possible future developments of emerging technologies. The empirical studies in the book utilize recent and advanced analytical techniques for data analysis.

Editors and Affiliations

  • Universiti Tenaga Nasional (UNITEN), Selangor, Malaysia

    Mohammed A. Al-Sharafi

  • The British University in Dubai, Dubai, United Arab Emirates

    Mostafa Al-Emran

  • UCSI University, Kuala Lumpur, Malaysia

    Garry Wei-Han Tan, Keng-Boon Ooi

Bibliographic Information

  • Book Title: Current and Future Trends on Intelligent Technology Adoption

  • Book Subtitle: Volume 2

  • Editors: Mohammed A. Al-Sharafi, Mostafa Al-Emran, Garry Wei-Han Tan, Keng-Boon Ooi

  • Series Title: Studies in Computational Intelligence

  • 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 2024

  • Hardcover ISBN: 978-3-031-61462-0Due: 31 July 2024

  • Softcover ISBN: 978-3-031-61465-1Due: 31 July 2024

  • eBook ISBN: 978-3-031-61463-7Due: 31 July 2024

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: VI, 356

  • Number of Illustrations: 9 b/w illustrations, 33 illustrations in colour

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