A bibliometric analysis of data-driven technologies in digital supply chains

Abstract

Internet of Things (IoT) and Cyber-Physical Systems (CPS) are the core components of data-driven technologies of Industry 4.0, attracting much attention in digital supply chains and leading to a growing tide of academic publications. This study conducts a bibliometric analysis of data-driven technologies in digital supply chains. Additionally, some bibliometric methods, such as co-word analysis, are utilized to study the intellectual structure of the field and present a big picture. The co-word analysis maps data-driven technologies’ intellectual structure in digital supply chains and logistics. 3887 publications from the Web of Science (WoS) and Scopus between 2010 and 2021 were collected and analyzed. Then, a strategic diagram is employed on the co-occurrence network, indicating each theme’s current situation from two aspects of applicability and theory development. The study reveals that IoT and CPS technologies are in their infancy in digital supply chains and logistics, and additional studies are needed to fill the research gaps in this field.