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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 / edited by Abdul Razzak Alshehadeh, Ihab Ali El-Qirem, Ghaleb Awad Elrefae.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Alshehadeh, Abdul Razzak.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1502
- Language:
- English
- Subjects (All):
- Engineering--Data processing.
- Engineering.
- Big data.
- Computational intelligence.
- Artificial intelligence.
- Data Engineering.
- Big Data.
- Computational Intelligence.
- Artificial Intelligence.
- Local Subjects:
- Data Engineering.
- Big Data.
- Computational Intelligence.
- Artificial Intelligence.
- Physical Description:
- 1 online resource (513 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- 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.
- Contents:
- Exploring the Impact of Automation and AI on Auditing Practices and the Evolving Role of Auditors
- The Impact of Artificial Intelligence on Internal Audit Quality
- Discovering AI Technology Integration in Quality of Auditing: The Effect of Auditor Readiness, Facilitating Conditions, and Technical Capability
- The Impact of Artificial Intelligence on The Accuracy of Final Financial Reports in Jordanian Public Shareholding Industrial Companies
- Artificial Intelligence in Accounting: Threats, Challenges and Opportunities
- The Role of Technology Leadership in Shaping Behavioral Intention to Use Artificial Intelligence Among Accountants and Auditing.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-96622-8
- 9783031966224
- OCLC:
- 1547927440
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