Research trends on technologies in logistics management
DOI:
https://doi.org/10.51252/rcsi.v4i2.755Keywords:
machine learning, data mining, big data, internet of things, supply chainAbstract
This article analyzes research trends on the use of technologies in logistics management, a key area for operational efficiency in organizations and supply chains. The main objective was to identify the most relevant technological advancements, the sources with the highest scientific production, and the international collaborations driving research in this field. A bibliometric approach was employed, based on 11,522 scientific articles extracted from the Scopus database between 2010 and 2020, using a search string focused on logistics and emerging technologies such as Artificial Intelligence, Big Data, and the Internet of Things. The documents were analyzed using the Biblioshiny tool to identify trends and patterns. The results reveal a steady increase in scientific production, particularly since 2016, with journals such as PLOS ONE and Sustainability (Switzerland) standing out as the main sources of publications. The University of California leads institutional production, followed by Huazhong University of Science and Technology. Moreover, frequent terms like "machine learning" and "data mining" reflect a focus on data analysis techniques and artificial intelligence in logistics. The study concludes that logistics management is being transformed by technological innovations and that this research area will continue to grow, driven by international collaboration and the application of emerging technologies to optimize the efficiency and sustainability of logistics processes.
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