Research trends on technologies for logistics management
Revista Cientifica de Sistemas e Informatica, ISSN: 2709-992X, Vol: 4, Issue: 2
2024
- 15Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures15
- Readers15
- 15
Article Description
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.
Bibliographic Details
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