Digital Transformation Management in Logistics Security and Supply Chain Sustainability
DOI:
https://doi.org/10.61954/2616-7107/2026.10.2-4Keywords:
Artificial Intelligence, Blockchain, Internet of Things, Logistics, Supply Chain Management.Abstract
Background. Digital technologies have significantly improved logistics efficiency and transparency. An analysis of TBC Logistics data (Georgian logistics company) indicates faster delivery, improved security, and higher customer satisfaction. Workforce competence, technological innovation, and organisational adaptability are essential drivers of sustainable growth. This study uses regression analysis to assess the impact of digital technologies on the logistics sector.
Purpose. This study investigates the influence of digital technologies on efficiency and transparency in the Georgian logistics sector. The aim includes analysing and integrating technologies in the logistics sector, identifying opportunities for improvement and challenges, using workforce competencies, and evaluating how digital transformation increases competitiveness, innovation, and the long-term strategic development of the logistics sector.
Findings. The analysis shows that digital technologies have a positive impact on logistics processes. The regression model explains 68% of the variance in employee positive experience (R² = 0.68), demonstrating strong explanatory power of the included independent variables. This does not imply a 68% improvement, but rather that the model explains 68% of the variability in the dependent variable. Among the predictors, technology effectiveness shows the most decisive influence on employee positive experience, with a standardised coefficient (β = 0.42, p ≤ 0.01), indicating a moderately strong effect. Factor analysis highlighted workforce competencies, technological innovation, and organisational stability as key factors (KMO = 0.78; Bartlett’s test p < 0.01).
Implication. Digital transformation fundamentally improves logistics operations by increasing efficiency and enhancing decision-making. Companies such as TBC Logistics achieve faster deliveries, reduce operational risks, and support sustainable growth in this manner. The integration of digital technologies uses personal training to improve organisational sustainability objectives in the modern logistics sector.
References
A.P. Moller - Maersk. (2024). The logistics trend map: Be ready for anything to go all the way [Report]. https://www.maersk.com/insights/logistics-trend-map
Albrecht, T., Baier, M.-S., Gimpel, H., Meierhöfer, S., Röglinger, M., Schlüchtermann, J., & Will, L. (2024). Leveraging digital technologies in logistics 4.0: Insights on affordances from intralogistics processes. Information Systems Frontiers: A Journal of Research and Innovation, 26(2), 755–774. https://doi.org/10.1007/s10796-023-10394-6
Amazon. (2023). 2022 Sustainability Report: Building a better future together [Report]. https://sustainability.aboutamazon.com
Baryannis, G., Dani, S., Validi, S., & Antoniou, G. (2019). Decision support systems and artificial intelligence in supply chain risk management. In Springer Series in Supply Chain Management (pp. 53–71). Springer International Publishing. https://doi.org/10.1007/978-3-030-03813-7_4
Chopra, S., & Meindl, P. (2021). Supply chain management: Strategy, planning, and operation (7th ed.). Pearson.
Christopher, M. (2016) Logistics and Supply Chain Management. 5th Edition, Pearson, London.
Culot, G., Podrecca, M., & Nassimbeni, G. (2024). Artificial intelligence in supply chain management: A systematic literature review of empirical studies and research directions. Computers in Industry, 162(104132), 104132. https://doi.org/10.1016/j.compind.2024.104132
Fatorachian, H., & Kazemi, H. (2021). Impact of Industry 4.0 on supply chain performance. Production Planning & Control, 32(1), 63–81. https://doi.org/10.1080/09537287.2020.1712487
Galkin, A., Samchuk, G., Kopytkov, D., & Thompson, R. G. (2025). Digital twins in logistics: a comprehensive bibliometric analysis for advancing smart cities and sustainable development. Discover Sustainability, 6(1). https://doi.org/10.1007/s43621-025-01754-0
Gogilidze, E., & Gogilidze, N. (2024). The use of modern digital technologies in transportation. Georgian Scientists, 6(1), 177-185.https://doi.org/10.52340/gs.2024.06.01.24
Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049–1064. https://doi.org/10.1016/j.im.2016.07.004
Liao, Y., Deschamps, F., Loures, E. F. R., & Ramos, L. F. P. (2017). Past, present and future of Industry 4.0—A systematic literature review and research agenda proposal. International Journal of Production Research, 55(12), 3609–3629. https://doi.org/10.1080/00207543.2017.1308576
National Statistics Office of Georgia. (2024a). Labour Market Statistics: Logistics Sector in Georgia. Statistical Report. https://www.geostat.ge
National Statistics Office of Georgia. (2024b). Transport and Logistics Sector Data 2024. https://www.geostat.ge/en/modules/categories/395/transport308
National Statistics Office of Georgia. (2024c). Services Export Data 2024. https://www.geostat.ge/en/modules/categories/637/export
National Statistics Office of Georgia. (2024d). Transportation and Storage Statistics 2023–2024 (preliminary data). https://www.geostat.ge/en/modules/categories/395/transport308
National Statistics Office of Georgia. (2025). Air transport freight statistics 2024. GeoStat. Retrieved from https://www.geostat.ge/media/68822/Main-Indicators-of-Air-Transport---2024.pdf
Perumal, K., Chowdhary, C. L., & Chella, L. (Eds.). (2022). Innovative supply chain management via digitalization and artificial intelligence (2022nd ed.). Springer. https://doi.org/10.1007/978-981-19-0240-6
PMC Research Center. (2023). Transportation and Logistics Sector Employment Trends. PMC – Report. https://www.pmcresearch.org/slider_file/911f65fafee139aad.pdf
Rachana Harish, A., Liu, X., Wang, X., Pan, S., Dai, H.-N., Li, M., & Huang, G. Q. (2025). Blockchain for logistics 4.0: A systematic review and prospects. Transportation Research Part E: Logistics and Transportation Review, 201(104269), 104269. https://doi.org/10.1016/j.tre.2025.104269
Richey, R. G., Jr, Chowdhury, S., Davis-Sramek, B., Giannakis, M., & Dwivedi, Y. K. (2023). Artificial intelligence in logistics and supply chain management: A primer and roadmap for research. Journal of Business Logistics, 44(4), 532–549. https://doi.org/10.1111/jbl.12364
Sanders, N. R. (2016). How to Use Big Data to Drive Your Supply Chain. California Management Review, 58(3), 26–48. https://doi.org/10.1525/cmr.2016.58.3.26
Shlash Mohammad, A. A., Khanfar, I. A. A., Al Oraini, B., Vasudevan, A., Suleiman, I. M., & Fei, Z. (2024). Predictive analytics on artificial intelligence in supply chain optimization. Data and Metadata, 3, 395. https://doi.org/10.56294/dm2024395
Stasiak-Betlejewska, R., & Czarczyk, K. (2024). Digital transformation of logistics: How modern technologies increase supply chain safety. System Safety: Human - Technical Facility - Environment, 6(1), 410–420. https://doi.org/10.2478/czoto-2024-0042
Taktakishvili, N. (2024). Transportation And Storage Sector In Georgia Underwent A Significant Decline In Employment In 2023 - PMC. Business Media. https://bm.ge/en/news/transportation-and-storage-sector-in-georgia-underwent-a-significant-decline-in-employment-in-2023-pmc
TBC Capital. (2024). Overview of transportation sector in Georgia (Transport performance and freight dynamics). https://tbccapital.ge/static/file/202501301232-overview-of-transportation-sector-in-georgia-2024.pdf
Vashishth, T. K., Sharma, V., Sharma, K. K., Kumar, B., Chaudhary, S., & Panwar, R. (2025). Digital twins solutions for smart logistics and transportation. In Digital Twins for Smart Cities and Villages (pp. 353–376). Elsevier. https://doi.org/10.1016/B978-0-443-28884-5.00016-6
Zrelli, I., & Rejeb, A. (2024). A bibliometric analysis of IoT applications in logistics and supply chain management. Heliyon, 10(16), e36578. https://doi.org/10.1016/j.heliyon.2024.e36578
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Economics Ecology Socium

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
If the article is accepted for publication in the journal «Economics. Ecology. Socium» the author must sign an agreementon transfer of copyright. The agreement is sent to the postal (original) or e-mail address (scanned copy) of the journal editions.



















