Data-Driven Management with Connected Devices

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Authors: Mamoon Mohammed Ali Saeed, Rashid Abdelhaleem Saeed
Cited by: 0

Abstract

In the context of linked devices within the Internet of Things (IoT), this chapter explores the transformative function of data-driven management and its implications for developing smart environments. Organizations can use real-time data from numerous connected devices to improve operational efficiency, optimize resource use, and encourage sustainable behaviors with the rapid integration of IoT technology. This chapter outlines multiple applications in urban planning, transportation, energy, and agriculture, showing how data analytics supports developing creative solutions to environmental problems and strengthens decision-making. Important data management issues, including security, privacy, and interoperability, are also covered, focusing on strong governance frameworks to guarantee moral data use. The integration of artificial intelligence, machine learning, and advanced analytics is also examined, demonstrating how these technologies can improve the functionality of data-driven management systems. This chapter discusses new developments and possible paths forward, such as how edge computing and blockchain technology might enhance stakeholder engagement and data processing. Organizations may help create sustainable smart environments by utilizing connected devices and green technology, advancing international efforts to promote environmental resilience and sustainable development. This thorough analysis is invaluable for scholars, practitioners, and policymakers looking to comprehend how IoT affects data-driven management in the quest for a greener future.

Fields of Study & Subjects

Smart Cities and Technologies Big Data and Business Intelligence Impact of AI and Big Data on Business and Society

Publication details

Pages
218–239
Publication date
7 January 2026
Language
EN
Document type
Book chapter