Assessing the potential for improving production efficiency through digitalization by implementing a specialized industry digital platform
DOI:
https://doi.org/10.15587/1729-4061.2026.358840Keywords:
digitalization of agriculture, crop production, digital platform, economic effectAbstract
The object of the study is the digitalization of enterprises in the field of crop production to increase production efficiency. The problem of assessing the level of digitalization of enterprises in the crop industry and the effectiveness of implementing an industry-specific regional digital platform has been solved.
The results of the study were obtained:
– the analysis showed the absence of companies with an active level of digitalization, while a third (29%) have a stagnant level;
– the implementation of the digital platform provides a return on investment of 25.2%;
– a positive dependence of the revenue growth potential on the ADA integral score (β1 = 0.327, p = 0.002) was revealed;
– the analysis showed a payback period of 0.80 years in a realistic scenario;
– in the cost structure for the implementation of the digital platform, the majority (43.2%) is allocated to the technical infrastructure.
The results of the study are explained by the use of the ADA model, which allows a comprehensive assessment of the level of digitalization of crop production enterprises, taking into account industry and regional specifics. The specifics of the results obtained are that this paper offers not only an assessment of the current state of digitalization, but also practical recommendations for the implementation of a digital platform adapted to the needs of the region.
The practical significance of the study lies in the proposal of a specific methodology for assessing the level of digitalization of crop production enterprises. In addition, the implementation of the digital platform will create a unified information environment for all market participants, reduce costs, optimize production processes and improve interaction between stakeholders. The results of the study can be used by government agencies, agricultural enterprises and developers of digital solutions for agriculture
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Copyright (c) 2026 Botagoz Duissenbayeva, Raushan Gabdualiyeva, Gulnar Kunurkulzhayeva, Zhaxat Kenzhin, Aisulu Parmanasova, Yerlan Onlassynov, Shynar Nurgaliyeva, Almagul Ibrasheva, Gaukhar Kairliyeva, Wasiu Abiodun Sanyaolu

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