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Integrating Big Data and IoT for Enhanced Decision-Making Systems in Business : Volume 1 / edited by Reem Khamis Hamdan.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Hamdan, Reem Khamis.
- Series:
- Studies in Big Data, 2197-6511 ; 177
- Language:
- English
- Subjects (All):
- Engineering--Data processing.
- Engineering.
- Computational intelligence.
- Business.
- Management science.
- Data Engineering.
- Computational Intelligence.
- Business and Management.
- Local Subjects:
- Data Engineering.
- Computational Intelligence.
- Business and Management.
- Physical Description:
- 1 online resource (841 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This book presents recent research on integrating big data and IoT for enhanced decision-making systems in business. Unlock the future of smart decision-making! This volume dives technology innovation, and human capital growth, empowering leaders, educators, and entrepreneurs to transform businesses, education, and economies for a sustainable digital era.
- Contents:
- The Implications of Artificial Intelligence in Corporate Governance to Improve Decision Making Efficiency
- Engineering Innovations in Aluminum Dross Recovery Transforming Waste to Resources
- A Comprehensive Analysis of Digital Technologies for Climate Change
- Shaping Oman’s Sustainable Future The Impact of ICT on GHG Emissions and Energy Innovation
- Industry 4.0 and Jordanian Pharmaceuticals: Systematic Literature Review of Efficiency and Sustainability
- Assessing Renewable Energy Potential and Solar Integration for Transportation and Household Energy: A Pathway to Sustainable Cities
- An Exploratory Research Study of Digital Transformation on Existing Traditional Business Models A Study Centered in the Kingdom of Bahrain
- Employing AI tools to achieve integration between the Target Costing technique, SDG, and their role in improving Administrative Decisions
- Analyzing Digital Service Acceptance in Gen Z The by U Experience
- AI Driven Innovation in Universities A Multifaceted Analysis of Current and Future Trends.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 3-031-97609-6
- 9783031976094
- OCLC:
- 1547928676
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