Integration of Emerging Technologies in Logistics Management
DOI:
https://doi.org/10.5281/zenodo.13844970Keywords:
Internet of Things, Artificial Intelligence, Blockchain, Logistics Management, Supply ChainAbstract
This systematic review analyzes the impact of emerging technologies - Internet of Things (IoT), Artificial Intelligence (AI), and blockchain - on logistics management. The primary objective was to evaluate how these technologies are transforming operations, efficiency, and security in the supply chain. A systematic search was conducted in Scopus, IEEE Xplore, and Google Scholar databases, employing a predefined search strategy that included relevant keywords. Twenty studies meeting the inclusion criteria were identified, which addressed the application of these technologies in various logistics sectors. The results revealed that IoT enhances real-time visibility and tracking of goods, AI optimizes routes and predicts demand, and blockchain ensures transparency and security in transactions. Challenges such as infrastructure investment, resistance to change, and data security were identified. The review concludes that these technologies are having a transformative impact on logistics management, offering innovative solutions to optimize operations and enhance efficiency.
Downloads
References
Adamashvili, N., Zhizhilashvili, N., & Tricase, C. (2024). The integration of the internet of things, artificial intelligence, and blockchain technology for advancing the wine supply chain. Computers, 13(3), 72. https://www.mdpi.com/2073-431X/13/3/72
Alheadary, W. (2023). The impacts of the internet of things and artificial intelligence on logistics in supply chain management. https://text2fa.ir/wp-content/uploads/Text2fa.ir-The-impacts-of-the-internet-of-things-and-artificial-intelligence-on-l.pdf
Alsudani, M., Jaber, M., Ali, M., Abd, S., Alkhayyat, A., Kareem, Z., & Mohhan, A. R. (2023). RETRACTED ARTICLE: Smart logistics with IoT-based enterprise management system using global manufacturing. Journal of combinatorial optimization, 45(2), 57. https://link.springer.com/article/10.1007/s10878-022-00977-5
Anitha, R., & Rai, D. (2022). Internet of things with artificial intelligence detection and blockchains of crop availability for supply chain management. International Journal of Knowledge-Based Development, 12(3-4), 444-459. https://www.inderscienceonline.com/doi/abs/10.1504/IJKBD.2022.128909
Arias, D., Molina, L., & Stantchev, V. (2021). Integración de internet de las cosas y blockchain para aumentar el rendimiento de las cadenas de suministro de ayuda humanitaria. DYNA-Ingeniería e Industria, 96(6). https://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=00127361&AN=153546085&h=%2BAz86FedGvtRDuK%2B0EquBSSDS88vBT%2Bgt%2BxL0MYO5IsIUw4qgVNt3423KFydtgFSATv%2BFDRVntogpoq2XYDRPQ%3D%3D&crl=c
Arenas, R. (2023). Realidad aumentada, inteligencia artificial, blockchain y sus aplicaciones en el comercio y el marketing. https://digibuo.uniovi.es/dspace/handle/10651/69107
Ding, Y., Jin, M., Li, S., & Feng, D. (2021). Smart logistics based on the internet of things technology: an overview. International Journal of Logistics Research and Applications, 24(4), 323-345. https://www.tandfonline.com/doi/abs/10.1080/13675567.2020.1757053
Eyob, E., & Eyob, S. (2019). TRENDS IN BLOCKCHAIN AND NEWER TECHNOLOGIES USES IN LOGISTICS AND SUPPLY CHAIN MANAGEMENT. Issues in Information Systems, 20(2). https://iacis.org/iis/2019/2_iis_2019_47-55.pdf
Higgins, J., Altman, D., Gøtzsche, P., Jüni, P., Moher, D., Oxman, A., & Sterne, J. (2011). The Cochrane Collaboration's tool for assessing risk of bias in randomized trials. BMJ, 343, d5928. https://www.bmj.com/content/343/bmj.d5928.abstract
Kobzev, V., Izmaylov, M., & Germann, M. (2021, October). Digital Technologies in Modern Logistics and Supply Chain Management: Key Opportunities, Prospects. In XIV International Scientific Conference “INTERAGROMASH 2021" Precision Agriculture and Agricultural Machinery Industry, Volume 1 (pp. 685-693). Cham: Springer International Publishing. https://link.springer.com/chapter/10.1007/978-3-030-81619-3_76
Kumar, D., Singh, R., Mishra, R., & Wamba, S. (2022). Applications of the internet of things for optimizing warehousing and logistics operations: A systematic literature review and future research directions. Computers & Industrial Engineering, 171, 108455. https://www.sciencedirect.com/science/article/pii/S0360835222004892
Kuo, S., Huang, X., & Chen, L. (2022). Smart ports: Sustainable smart business port operation schemes based on the Artificial Intelligence of Things and blockchain technologies. IEEE Potentials, 41(6), 32-37. https://ieeexplore.ieee.org/abstract/document/9935792/
Liu, H., Islam, S., Liu, X., & Wang, J. (2020, November). Strategy-oriented digital transformation of logistics enterprises: the roles of artificial intelligence and blockchain. In 2020 5th international conference on innovative technologies in intelligent systems and industrial applications (CITISIA) (pp. 1-5). IEEE. https://ieeexplore.ieee.org/abstract/document/9371847/
Martínez, S., Riveros, V., & Jiménez, M. (2023). Tecnología 4.0, una apuesta desde la logística de las empresas del comercio electrónico para mejorar la competitividad empresarial. (Tesis de grado, Escuela de Economía, Administración y Negocios). https://repository.upb.edu.co/handle/20.500.11912/11532
Miñan, W. (2022). Modelo de arquitectura de gestión de la información para la cadena de suministros en empresas de consumo masivo mediante Iot y Blockchain. (Tesis de grado). https://dspace.ups.edu.ec/handle/123456789/23334
Moher, D., Liberati, A., Tetzlaff, J., Altman, D. G., & The PRISMA Group. (2009). Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement. PLoS Medicine, 6(7), e1000097. https://www.acpjournals.org/doi/abs/10.7326/0003-4819-151-4-200908180-00135
Popay, J., Roberts, H., Sowden, M., Petticrew, M., Arai, L., Rodgers, M., & Duffy, S. (2006). Guidance on the conduct of narrative synthesis in systematic reviews. A product from the ESRC methods programme, Version 1. https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=ed8b23836338f6fdea0cc55e161b0fc5805f9e27
Ramírez, A., & Vacca, C. (2023). Importancia de la tendencia Blockchain en la logística 4.0 del transporte marítimo internacional. Visión Internacional (Cúcuta), 1-25. https://revistas.ufps.edu.co/index.php/visioninternacional/article/download/4534/5585
Rejeb, A., Simske, S., Rejeb, K., Treiblmaier, H., & Zailani, S. (2020). Internet of Things research in supply chain management and logistics: A bibliometric analysis. Internet of Things, 12, 100318. https://www.sciencedirect.com/science/article/pii/S2542660520301499
Serrano, A. (2022). La industria logística post Covid: retos y oportunidades. https://repositorio.comillas.edu/xmlui/handle/11531/54389
Shen, A. (2023). Design of internet of things service system for logistics engineering by using the blockchain technology. International journal of grid and utility computing, 14(2-3), 182-190. https://www.inderscienceonline.com/doi/abs/10.1504/IJGUC.2023.131003
Tinoco, C., Falcón, J., Mateo, H., Quispe-Canales, G., Juarez, A., Quispe, R., & Santa Cruz, A. (2024). Tecnologías disruptivas en el supply chain y la logística: una revisión sistemática. Paideia XXI, 14(1), 247-268. http://45.231.72.143/index.php/Paideia/article/view/6492
Yuan, L. (2019, September). Intelligent logistics management application relying on the internet of things. In 2019 International Conference on Virtual Reality and Intelligent Systems (ICVRIS) (pp. 451-457). IEEE. https://ieeexplore.ieee.org/abstract/document/8920735/
Published
How to Cite
Issue
Section
License
The authors exclusively transfer the right to publish their article to our journal, which may formally edit or modify the approved text to comply with its own editorial norms and universal grammatical standards, before publication; Likewise, our journal may translate approved manuscripts into as many languages as it deems necessary and disseminate them in several countries, always giving public recognition to the author or authors of the research.
