A bibliometric analysis of IoT applications in logistics and supply chain management

A bibliometric analysis of IoT applications in logistics and supply chain management

2024 | Imen Zrelli, Abderahman Rejeb
This study conducts a comprehensive bibliometric analysis of 2680 publications from the Scopus database to explore the evolution and impact of the Internet of Things (IoT) in logistics and supply chain management (SCM). The research reveals a shift from foundational explorations to mature implementations, highlighting the revolutionary impacts of IoT and related technologies such as RFID, Industry 4.0, Artificial Intelligence (AI), and the Industrial Internet of Things (IIoT). Key themes include big data optimization, IoT-driven innovation in the food supply chain, blockchain applications, digital transformation through Industry 4.0, and advanced communication and encryption technologies. The analysis identifies critical areas such as operational efficiency, security advancements, and the exploration of advanced technologies for Industry 4.0 and 5.0. The study also categorizes scholarly discourse into areas like big data, IoT optimization, IoT-driven innovation in the food supply chain, blockchain and smart contracts, digital transformation, security, and advanced technologies for Industry 4.0 and 5.0. By mapping the intellectual landscape and identifying emerging research areas, the study provides insights for future research and practical applications, emphasizing the transformative role of IoT in logistics and SCM.This study conducts a comprehensive bibliometric analysis of 2680 publications from the Scopus database to explore the evolution and impact of the Internet of Things (IoT) in logistics and supply chain management (SCM). The research reveals a shift from foundational explorations to mature implementations, highlighting the revolutionary impacts of IoT and related technologies such as RFID, Industry 4.0, Artificial Intelligence (AI), and the Industrial Internet of Things (IIoT). Key themes include big data optimization, IoT-driven innovation in the food supply chain, blockchain applications, digital transformation through Industry 4.0, and advanced communication and encryption technologies. The analysis identifies critical areas such as operational efficiency, security advancements, and the exploration of advanced technologies for Industry 4.0 and 5.0. The study also categorizes scholarly discourse into areas like big data, IoT optimization, IoT-driven innovation in the food supply chain, blockchain and smart contracts, digital transformation, security, and advanced technologies for Industry 4.0 and 5.0. By mapping the intellectual landscape and identifying emerging research areas, the study provides insights for future research and practical applications, emphasizing the transformative role of IoT in logistics and SCM.
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