INFLUENCE OF DIGITAL TECHNOLOGIES ON THE LOGISTICS PERFORMANCE INDICATORS IN KAZAKHSTAN
Currently, digital transformation in the sphere of logistics activities has reached a new level. Logistics organisations in the context of the Republic of Kazakhstan are also striving to optimise business processes at the level of their enterprises by resorting to the implementation of advanced digital technologies. This article examines the impact of digital solutions on the performance of logistics organisations in Kazakhstan through regression analysis. The target data was collected within the framework of the dissertation research on the topic: “Digital Transformation of functioning of the logistical centres of the Republic of Kazakhstan on the basis of the Fulfillment Concept”. Type of activity of the respondent companies: logistics, trade, production, distribution, transport services, warehousing and storage services. The Introduction section deals with the description of digital technologies in logistics by different authors as well as the logistics performance indicators. In the Results and discussion section, the regression analysis revealed the best P-values, which are the result of the impact of digital technologies (independent variables X) on logistics performance indicators (dependent variables Y). The quality of the obtained P-values was then assessed by comparing F with Significance F. The Conclusion section summarises the study and identifies future perspectives and potentials from this research paper. Keywords: digital technologies, logistics performance indicators, logistics, regression analysis, Republic of Kazakhstan.
Authors
- D. I. Golubtsov (ORCID: https://orcid.org/0000-0001-5964-5047)
- Rysty Sartova (ORCID: https://orcid.org/0000-0001-7982-0957)
- A. B. Alikbayeva
- Zauresh Akhmetova (ORCID: https://orcid.org/0000-0002-5157-4659)
Publication Details
- Journal
- Bulletin of Toraighyrov University Economics series
- Published
- 2024-12-26
- DOI
- https://doi.org/10.48081/uryb4762
- Citations
- 1
- Primary Topic
- Digital Economy and Transformation
- Type
- article
- Field-Weighted Citation Impact
- 0.55