Development of Professional Competencies of Specialists in the Field of Motor Transport as a Factor of Increasing the Efficiency of Transport and Logistics Services
Journal: RUDN Journal of Engineering Researches (Vol.26, No. 3)Publication Date: 2025-11-12
Authors : Yulia Glushkova; Victoria Mnatsakanyan;
Page : 323-336
Keywords : transport and logistics sphere; professional requirements; digitalization; logistics 4.0; supply chain management; SCM; transport logistics; information technology; interpersonal communication skills;
Abstract
The transport and logistics sector plays a key role in the global economy. Competitiveness and increased efficiency require specialists to possess a wide range of competencies. The analysis is aimed at identifying specific competencies that determine effective work in the industry. Targeted strategies for developing skills for the successful implementation of modern tasks are proposed. The influence of competencies on increasing professional requirements in the transport and logistics sector is studied. The types of competencies that determine the effectiveness of work in the industry are analyzed. Measures are proposed to develop these competencies to meet modern challenges. Such adaptation requires a significant increase in the level of qualifications of specialists in the field of transport and logistics to be ready to meet challenges in a dynamic and constantly changing environment. The improvement of systems in the field of road transport operation, taking into account digitalization, and the introduction of new technologies indicate the importance of having a new level of requirements and competencies for specialists in the field of transport logistics, including data analysis, technological literacy, and sustainable practices.
Other Latest Articles
- Prediction of Breast Cancer Using Machine Learning
- Comparison of Text Classification Models and Methods
- Statistical Analysis of the Performance of Modified Genetic Algorithms for Automated Compilation of a Multilevel University Scheduling
- Comparative Performance of Machine Learning Classifiers in Detecting Vibration Anomalies in Industrial Power Systems
- Generating Realistic Images of Oil and Gas Infrastructure in Satellite Imagery Using Diffusion Models
Last modified: 2025-11-12 06:00:54
Share Your Research, Maximize Your Social Impacts


