| 英文摘要 |
The application of Internet of Things (IoT) technology can significantly improve the transparency and efficiency of supply chains and logistics. By installing IoT devices on goods, enterprises can track the progress of products from production to delivery in real-time. This capability helps businesses promptly identify and solve supply chain problems, and it provides consumers with more transparent and reliable product sourcing information. Therefore, IoT technology plays a key role in smart logistics. This study first collects keywords based on the ''comprehensiveness principle'' to gather the most comprehensive set of related keywords. It then constructs a search strategy based on the ''precision principle'' to find the most relevant documents in the Web of Science (WoS) database that meet the research objectives. The process involves data cleaning and refinement to form a high-fidelity dataset. Using bibliographic coupling, co-citation, and co-occurrence terms, similarity matrices and adjacency matrices between the literatures are constructed. Analysis is conducted using Bibliometrix for an overview, word clouds, and thematic networks of bibliographic teams and co-occurrence words. ''Internet of Things (IoT)'' serves as a main node with strong connections to ''intelligent transportation systems,'' ''smart cities,'' and ''artificial intelligence'' among other nodes. This indicates that in the research literature on smart cities, IoT technology is often discussed together with these areas, showing their close relationship. |