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Dynamic and Safe Economy in the Age of Smart Technologies

Dynamic and Safe Economy in the Age of Smart Technologies
Author(s)/Editor(s): Hamed Nozari (Independent Researcher, Australia)
Copyright: ©2025
DOI: 10.4018/979-8-3693-4369-2
ISBN13: 9798369343692
EISBN13: 9798369343708

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Description

In the evolving economic landscape, the integration of smart technologies has fundamentally reshaped global economies. These technologies offer opportunities for innovation, productivity, and economic growth, driving new business models and creating potential for wealth generation. However, with these advancements come significant challenges, particularly in ensuring economic systems remain secure, inclusive, and adaptable. As smart technologies continue to disrupt traditional industries and labor markets, ensuring a dynamic and safe economy becomes crucial. Balancing these factors involves fostering an environment where technological progress is used for social improvements while guarding against risks like cyber threats, job displacement, and economic inequality. Further research is necessary to build a dynamic and safe economy in the age of smart technologies.

Dynamic and Safe Economy in the Age of Smart Technologies explores the integration of smart technology in economic landscapes. It examines challenges related to building safe and secure economies for improved privacy, productivity, and equality. This book covers topics such as biotechnology, blockchain, and cybersecurity, and is a useful resource for economists, business owners, researchers, academicians, data scientists, and security professionals.



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Author's/Editor's Biography

Hamed Nozari (Ed.)
Hamed Nozari is a distinguished researcher and innovator in industrial engineering, supply chain optimization, and artificial intelligence applications. Holding a Ph.D. in Industrial Engineering, he has made significant contributions to the fields of multi-objective decision-making, smart supply chains, and digital twin technologies. As the developer of the Greedy Man Optimization Algorithm (GMOA), Dr. Nozari has introduced a novel approach to problem-solving inspired by human behavior and parasitic resistance. His research spans various interdisciplinary areas, including predictive maintenance in green supply chains, AI-driven marketing optimization, cybersecurity in smart economies, and autonomous AI for sustainable last-mile delivery.

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