Emerging Trends and Technologies in Supply Chain Management: A Bibliometric Analysis

The fast growth in digital technologies over the past few decades has made noticeable impacts on the design, operation, and optimization of modern supply chains (SCs). Given the rising levels of complexity and risk, innovations such as artificial intelligence (AI), big data analytics (BDA), blockchain, and Internet of Things (IoT) have been widely recognized as enabling technologies to strengthen visibility, traceability, flexibility, and resilience in SCs. Given this increasing technological convergence, there has been a significant increase in academic research on the intersection of these new technologies and supply chain performance. This study explores this body of research through a bibliometric lens, based on 716 journal articles indexed in the Web of Science from 2016 to 2025. A co-authorship and keyword co-occurrence analysis was performed using VOSviewer to identify key contributors, dominant themes, and structural relationships. The results highlight five main research clusters: digital technologies for performance during COVID-19, analytics-driven risk and resilience strategies, big data’s role in innovation and sustainability, IoT and Industry 4.0 in logistics resilience, and blockchain’s impact on traceability. Our study offers a structured overview of the literature, identifies influential works and trends, and opens new perspectives for future research in digitally enabled supply chain systems.