Integrating Big Data and IoT for Enhanced Decision-Making Systems in Business - Volume 1

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.

Inhaltsverzeichnis

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.

Zusammenfassung

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.

Produktdetails

• Mitarbeit: Reem Khamis Hamdan (Herausgeber), Reem Khamis Hamdan (Herausgeber)
• Verlag: Springer, Berlin
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 08.09.2025
• EAN: 9783031976087
• ISBN: 978-3-0-3197608-7
• Seiten: 640
• Illustration: XIV, 640 p. 76 illus., 62 illus. in color.
• Serie: Studies in Big Data
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Technik > Allgemeines, Lexika; Künstliche Intelligenz, Betriebswirtschaft und Management, Big Data, Business and Management, Business Intelligence, Data Analytics, Internet of Things (IoT), Data Engineering, Computational Intelligence, Operational efficiency, Technology integration, Data-driven Insights and Connected Devices, Strategic Decisions, Decision-Making Systems