Technology as a solution to the supply chain problems in the United States: What more can be done?

DANIEL IKECHUKWU EKWUNIFE 1, *, OJO TITILAYO PRECIOUS 2, OLADAPO AZEEZ RASUL 3, OLUWAGBEMISOLA FAITH AKINLADE 4, TIMOTHY OGECHUKWU NWOKORO 5 and VICTORY IHUOMA IKPE 4

1 Dept of Global Supply Chain Management, Faculty of Business, University of New Haven, West Haven, CT, USA.
2 Dept of Supply Chain Management and Operations, Faculty of Business, University of Indianapolis, Indiana.
3 Dept of Management, John Wesley Faculty of Leadership, Carolina University, Winston-Salem, NC, USA.
4 Department of Economics and Decision Sciences, Faculty of Social Sciences, Western Illinois University, Macomb, IL, USA.
5 Law Dept, Davis Faculty of Law, University of California.
 
Research Article
International Journal of Science and Research Archive, 2024, 12(02), 864–872.
Article DOI: 10.30574/ijsra.2024.12.2.1097
Publication history: 
Received on 07 May 2024; revised on 21 June 2024; accepted on 24 June 2024
 
Abstract: 
The study examined the critical role of technology in addressing supply chain challenges in the United States, with a focus on identifying gaps and exploring opportunities for improvement. Through a comprehensive analysis of existing literature and empirical studies, the research uncovered key supply chain challenges faced by firms in the U.S., including issues related to counterfeit goods, logistics inefficiencies, environmental concerns, inaccurate demand forecasting, and cyber-security threats. Also, the study examined the role of emerging technologies such as blockchain, artificial intelligence, Internet of Things, big data analytics, and machine learning in enhancing supply chain resilience and agility. This study highlighted the contributions of these technologies in promoting transparency, traceability, sustainability, and efficiency across various aspects of supply chain management. By synthesizing insights from diverse sources and datasets, the study provided valuable recommendations and strategies for leveraging technology to address supply chain challenges effectively. These recommendations covers areas such as investment in advanced technologies, collaborative data sharing platforms, integration of sustainability metrics, predictive analytics for risk management, and supply chain resilience planning.
 
Keywords: 
Supply Chain; Blockchain Technology; Internet of Things; Big Data Analytics; Machine Learning
 
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