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

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Geliefert zwischen Do., 20.11.2025 und Fr., 21.11.2025

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This book explores the synergy between big data and IoT in revolutionizing decision-making systems for businesses. This book delves into innovative strategies, practical insights, and real-world applications, helping organizations harness data-driven solutions to enhance operational efficiency and strategic decision-making. This book is a must-read for business leaders and tech enthusiasts alike.


Presents recent research on integrating big data and IoT for enhanced decision-making systems in business Offers a roadmap for leveraging data-driven approaches to enhance business intelligence Combines theoretical frameworks and practical examples

Inhalt

The Digital Shift Enhancing Sustainability in the Bahraini Retail Sector.- The Attitudes of Digital Media Experts Towards Reducing the Carbon Footprint of Data Centers and Artificial Intelligence Systems.- The Role of Artificial Intelligence in Facilitating Hajj and Umrah A Comprehensive Review of Chatbot Applications.- Acceptance Level of AI Usage in the Higher Educational Sector of the Kingdom of Bahrain.- Brand Loyalty Through Emotion The Role of Positive Visual Elements in digital User Experiences through the lens of the Broaden and Build theory.- The Etiquette Effect Does courtesy and motivation play a role in Artificial Intelligence responses.- Ethical Sustainability in Organizational Decision Making.- Ethics, Culture, and Sustainability in Textiles Blockchain Enabled Compliance and Growth.- Awareness of Artificial Intelligence in Higher Education and Its Influence on Student Academic Outcomes A Case Study at a Private University in Bahrain.- The role of digital marketing approaches on customer purchasing behaviour in the UK.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031976124
    • Anzahl Seiten 642
    • Lesemotiv Verstehen
    • Genre Technology
    • Editor Reem Khamis Hamdan
    • Herausgeber Springer, Berlin
    • Gewicht 1082g
    • Untertitel Volume 2
    • Größe H37mm x B155mm x T235mm
    • Jahr 2025
    • EAN 9783031976124
    • Format Fester Einband
    • ISBN 978-3-031-97612-4
    • Titel Integrating Big Data and IoT for Enhanced Decision-Making Systems in Business
    • Sprache Englisch

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