Mapping the intellectual structure of maritime logistics research: A semantic network analysis
Abstract
Over the past two decades, maritime logistics research has expanded rapidly alongside globalisation, port system transformation, and the increasing integration of shipping into global supply chains. The discipline has evolved into a broad and heterogeneous research field spanning shipping, ports, supply chains, digitalisation, sustainability, and resilience. While this expansion has enriched the literature, it has also led to conceptual fragmentation and overlapping research agendas. Thus, the objective of this paper is to provide a systematic and reproducible mapping of the intellectual structure of maritime logistics research using a semantic-network approach based on text embeddings and community detection algorithms. Drawing on a comprehensive corpus of peer-reviewed publications, we identify eight major thematic domains, further decomposed into eleven clusters and fifteen sub-clusters, capturing both established and emerging research streams. Unlike traditional bibliometric reviews relying on keywords or citations, the proposed approach captures semantic proximity between concepts, allowing for a more nuanced representation of interdisciplinary linkages within maritime logistics. The findings clarify how research on shipping operations, port systems, maritime supply chains, digital technologies, environmental regulation, and resilience has co-evolved, while also highlighting underexplored intersections and future research opportunities. By offering a transparent taxonomy and research roadmap, the paper contributes to a clearer conceptual understanding of maritime logistics and provides practical guidance for scholars, doctoral researchers, and policy-oriented maritime institutions.
Fields of Study & Subjects
Maritime Ports and Logistics
Supply Chain Resilience and Risk Management
Vehicle Routing Optimization Methods
Publication details
- Journal / source
- The Asian Journal of Shipping and Logistics
- Publisher
- Elsevier BV
- Volume
- 42
- Issue
- 3
- Pages
- 163–180
- Publication date
- 29 May 2026
- Language
- EN