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Artificial Intelligence in Business

Applications and Ethical Considerations in the Digital Age. Proceedings of the 19th SICB “Artificial Intelligence in Business”. Volume 1

  • Conference proceedings
  • Oct 2025
  • Latest edition

Overview

  • Presents cutting-edge research at the intersection of AI and business operations
  • Showcases how artificial intelligence revolutionizes modern business practices
  • Results of the 19th Scientific Annual International Conference for Business SICB: Artificial Intelligence in Business

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 1502)

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About this book

This book covers results of the 19th Scientific Annual International Conference for Business SICB: Artificial Intelligence in Business.
This collection of 30 peer-reviewed papers from the 19th SICB International Conference presents vital research on AI's integration into business practices. Through six comprehensive sections, the volume examines how AI is transforming multiple business domains:
AI in Accounting and Auditing explores automation's impact on auditing roles, internal quality, and financial reporting accuracy.
AI in Banking and Insurance investigates technologies revolutionizing financial services, from drones in insurance to blockchain in banking systems.
AI in Educational Environments demonstrates how intelligent systems enhance learning experiences and professional development.
AI Integration with Emerging Technologies analyzes the convergence of AI with explainable knowledge systems, metaverse applications, and human-centered workplace designs.
AI for Workflow Optimization provides insights into reinforcement learning for business processes and supply chain efficiencies.
AI's Impact on Financial Performance presents research on how AI-enhanced customer experiences translate into tangible outcomes.
What distinguishes this volume is its balanced approach, which addresses both technological capabilities and organizational, ethical, and human factors that determine successful implementation. The diverse methodological approaches provide a multifaceted perspective on AI's business applications.
For organizations navigating digital transformation, these proceedings offer theoretical foundations and practical guidance toward responsible AI adoption that enhances competitive advantage while addressing emerging ethical challenges, making it an essential resource for researchers, business leaders, and policymakers.

Keywords

  • Big Data
  • Big Data in Business
  • Business Technologies
  • Artificial Intelligence
  • Computational Intelligence
  • Data Engineering

Editors and Affiliations

  • Faculty of Business, Al-Zaytoonah University (ZUJ), Amman, Jordan

    Abdul Razzak Alshehadeh, Ihab Ali El-Qirem

  • Al Ain University, Al Ain, United Arab Emirates

    Ghaleb Awad Elrefae

Accessibility Information

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EPUB accessibility summary

This ebook is designed with accessibility in mind, aiming to meet the ePub Accessibility 1.0 AA and WCAG 2.2 Level AA standards. It features a navigable table of contents, structured headings, and alternative text for images, ensuring smooth, intuitive navigation and comprehension. The text is reflowable and resizable, with sufficient contrast. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com.

Bibliographic Information

  • Book Title: Artificial Intelligence in Business

  • Book Subtitle: Applications and Ethical Considerations in the Digital Age. Proceedings of the 19th SICB “Artificial Intelligence in Business”. Volume 1

  • Editors: Abdul Razzak Alshehadeh, Ihab Ali El-Qirem, Ghaleb Awad Elrefae

  • Series Title: Lecture Notes in Networks and Systems

  • 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 2025

  • Softcover ISBN: 978-3-031-96621-7Due: 08 November 2025

  • eBook ISBN: 978-3-031-96622-4Due: 08 November 2025

  • Series ISSN: 2367-3370

  • Series E-ISSN: 2367-3389

  • Edition Number: 1

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