Abstract
Comprehensive measures are being implemented in the republic to develop the oil industry, to increase the volume of production and rise the range of finished products in order to meet the needs of the population. In particular, in the article, an econometric evaluation of the efficiency of enterprise management through the supply of raw materials in oil and oil enterprises in the conditions of the digital economy was carried out. The correlation coefficient of the factors affecting the management efficiency of JSC “Tashkent oil-oil combine” in the form of a joint enterprise and the change of the management efficiency of JSC “Tashkent oil-oil combine” in the form of a joint enterprise as a result of the influence of selected factors are reflected in the coefficients of the regression equation and the result of checking it with quality criteria. The regression equation coefficients and the result of checking it with quality criteria reflect the change of the management efficiency of “Yangiyol oil-oil” JSC with the participation of foreign investors as a result of the influence of selected factors. The multi-factor management efficiency of JSC “Tashkent oil-oil combine” in the form of a joint venture is forecasted for the years 2022–2026. In addition, conclusions and proposals were developed based on the econometric evaluation of the efficiency of enterprise management through the supply of raw materials in the conditions of the digital economy.
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Abdukhakim, Y., Khusniddin, U., Sanjar, M., Kongratbay, S. (2023). Econometric Evaluation of the Efficiency of the Management of the Enterprise Through the Supply of Raw Materials in Oil Enterprises in the Conditions of the Digital Economy. In: Koucheryavy, Y., Aziz, A. (eds) Internet of Things, Smart Spaces, and Next Generation Networks and Systems. NEW2AN 2022. Lecture Notes in Computer Science, vol 13772. Springer, Cham. https://doi.org/10.1007/978-3-031-30258-9_26
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