Improving organizational and technological mechanisms for the development of outsourcing services in transport logistics enterprises: Literature Review
Аннотация
The evolution of outsourcing in transport logistics is driven by the improvement of organizational structures and the integration of advanced technologies to increase efficiency and competitiveness. Recent literature highlights the important role of organizational mechanisms such as robust outsourcing management processes (OMPs) in mitigating risks such as service failures and supplier opportunism. Uzbekistan's logistics sector, which includes more than 250 specialized firms, demonstrates growing expertise in freight forwarding, customs brokerage, and warehousing, but gaps remain in the implementation of advanced technologies such as IoT and blockchain for real-time tracking and process automation. This study investigates the enhancement of organizational and technological mechanisms in outsourcing services for transport and logistics enterprises. Through a systematic literature review of 25 peer-reviewed articles (1990–2024), we analyze frameworks, technologies, and strategies driving outsourcing efficiency. Key findings highlight the critical role of digital tools (e.g., blockchain, IoT, AI) in optimizing vendor collaboration and risk management, alongside organizational strategies like core competency alignment and agile supply chain design. The article identifies gaps in sustainability integration and real-time decision-making, proposing future research directions.
Литература
[2] W. Mengist, T. Soromessa, G. Legese, Ecosystem services research in mountainous regions: a systematic literature review on current knowledge and research gaps, Sci. Total Environ. 702 (2019)134581.
[3] Li Y., Liu X., Chen Y. (2012). Supplier Evaluation and Selection Using Axiomatic Fuzzy Set and DEA Methodology in Supply Chain Management. International Journal of Fuzzy Systems, 14(2), 215–225.
[4] Fu S., Yu Y., Xu M. A secure algorithm for outsourcing matrix multiplication computation in the cloud //Proceedings of the Fifth ACM international workshop on security in cloud computing. – 2017. – С. 27-33.
[5] T Spenser. Outsourcing matrix, dated October 9, 2015.
[6] Sulaymonov N. N., Irisbekova M. N. THE FUTURE PERSPECTIVE OF TRANSPORTATION SERVICE OUTSOURCING //Фундаментальные и прикладные научные исследования в современном мире. – 2023. – С. 111-114.
[7] Barak S., Javanmard S. Outsourcing modelling using a novel interval-valued fuzzy quantitative strategic planning matrix (QSPM) and multiple criteria decision-making (MCDMs) //International journal of production economics. – 2020. – Т. 222. – С. 107494
[8] Narinbaevna I. M., Khamidullayevna A. Z. Indicators for assessing the efficiency of fuel use in road transport //European International Journal of Multidisciplinary Research and Management Studies. – 2022. – Т. 2. – №. 06. – С. 13-18.
[9] Irisbekova M. N. METHODOLOGICAL APPROACH TO QUALITY ASSESSMENT OF TRANSPORT AND LOGISTICS SERVICES //Theoretical & Applied Science. – 2019. – №. 5. – С. 385-388.
[10] Sulaymonov N. N., Irisbekova M. N. ‘‘Analysis of the Advantages and Disadvantages of Outsourcing Services as a Result of the Improvement of Digital Platforms in the Transportation System’’ e-ISSN: 2792-4025 | http://openaccessjournals.eu | Volume: 3 Issue: 11 in Nov-2023.