Internet of thing integration in green fintech for enhanced resource management in smart cities
1 Electrical and Computer Engineering Department, North Carolina Agricultural and Technical State University, USA.
2 Independent Researcher, IT Project Manager, Toronto Canada.
3 Information Technology, Emporia University, Kansas, USA.
4 Independent Researcher, Procurement & Supply Chain Consultants LLC, Dallas, Texas, USA.
5 Engineering Technology Department, Western Illinois University, USA.
6 Ecobank Nigeria Limited, Nigeria.
Review Article
World Journal of Advanced Research and Reviews, 2024, 23(02), 1317–1327
Article DOI: 10.30574/wjarr.2024.23.2.2448
Publication history:
Received on 02 July 2024; revised on 11 August 2024; accepted on 13 August 2024
Abstract:
The integration of the Internet of Things (IoT) and Green Fintech in smart cities represents a transformative approach to resource management, addressing the inefficiencies and sustainability challenges posed by rapid urbanization. IoT technologies, through interconnected sensors and real-time data processing, enable precise monitoring and management of urban resources such as energy, water, waste, and transportation. Concurrently, Green Fintech leverages financial innovations to support environmental sustainability, including sustainable investments, green banking, and carbon credit trading. This paper explores how the synergy of IoT and Green Fintech can enhance resource management in smart cities, offering dynamic pricing models, financial incentives for sustainable practices, and improved transparency. Case studies from Amsterdam and Singapore demonstrate the practical applications and benefits of this integration. Despite challenges related to data privacy, costs, and regulatory frameworks, the potential for IoT and Green Fintech to revolutionize urban resource management is substantial, promising increased efficiency, reduced environmental impact, and improved quality of life for city residents.
Keywords:
Internet of Thing; Fintech; Sustainability; Management; Data Analysi
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