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Assessing the impact of digital technologies and artificial intelligence (AI) on the efficiency of supply chain

D. I. Golubtsov et al.

Economics and Sociology2025https://doi.org/10.14254/2071-789x.2025/18-1/8article
AJG 1
Weight
0.53

What the paper says

The study investigates the role of digital transformation, including artificial intelligence and other technologies, in the logistics enterprises. It aims to assess the impact of digital technologies on supply chain efficiency. The multiple linear regression analysis was used to identify the most critical digital technologies for supply chain efficiency dimensions measured by logistics enterprises' performance indicators. The data collected from surveying 106 respondents of Kazakhstani logistics companies was processed using the SPSS software program. The overall Cronbach's alpha value of 0.90 for both variables demonstrates a high internal consistency between all 13 indicators. The research results show that the most used digital technologies in the field of the supply chain are Barcode and GPS. In addition, Barcode and RFID were found to be critical technologies that affect supply chain’s efficiency indicators. The research findings related to the supply efficiency dimensions revealed the following: 1) the average growth rate of production costs was estimated at 0.27, indicating moderate growth; 2) the level of information support was evaluated at about 0.27; 3) the document turnover rate has an average value of about 0.31, which indicates some delay in processes; 4) the availability of innovative technologies was estimated to be about 0.28. Thus, the observed correlation between technology usage frequency and positive performance outcomes highlights the strategic importance of investing in the right digital tools to drive operational excellence in the supply chain.

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https://doi.org/https://doi.org/10.14254/2071-789x.2025/18-1/8

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@article{d.2025,
  title        = {{Assessing the impact of digital technologies and artificial intelligence (AI) on the efficiency of supply chain}},
  author       = {D. I. Golubtsov et al.},
  journal      = {Economics and Sociology},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.14254/2071-789x.2025/18-1/8},
}

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Evidence weight

0.53

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.70 × 0.15 = 0.10
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.