Data fusion methodology for automating managerial accounting to enhance financial management of energy sector companies in Uzbekistan

Glazova Marina Viktorovna

Актуар молия ва бухгалтерия ҳисоби · 2024-yil

Annotatsiya

The research focuses on justifying the prospects for enhancing the financial management of energy sector companies through the application of data fusion methodology for automating managerial accounting. The research also develops scientific and methodological recommendations for this purpose in the Republic of Uzbekistan. The research is conducted based on international experience in 2022 using statistics from the UN, UNDP RBAS, MBRF, and the World Bank. Econometric models are constructed using regression analysis, systemically explaining the cause-and-effect relationships of financial management in companies in the energy sector. As a result, the author concludes that the inflow of investments into the energy sector is determined by such parameters of managerial accounting as the speed of managerial accounting, timeliness of data provision for financial management, and the comprehensiveness of managerial accounting and depth of financial information disclosure within it, the broad opportunities for optimization of which are revealed by the automation of managerial accounting based on advanced ICT. By unveiling the “black box” of financial management of companies in the energy sector in the Republic of Uzbekistan, uncertainty is reduced, and predictability of investment decision-making is increased, deepening the scientific understanding of the logic of making these decisions – thereby determining the theoretical significance and scientific novelty of the research results. The identified prospect of enhancing the financial management of energy sector companies in the Republic of Uzbekistan holds practical significance because it can be used as a roadmap for investment development of this industry in the Republic of Uzbekistan. The developed data fusion methodology for automating managerial accounting holds managerial significance because it will make it possible to improve the practice of financial management of energy sector companies in Uzbekistan and increase their investment attractiveness.

Maqola ma’lumotlari
MualliflarGlazova Marina Viktorovna
JurnalАктуар молия ва бухгалтерия ҳисоби
NashriyotТoшкент дaвлaт иқтиcoдиёт универcитети
ISSN2181-1865
Nashr sanasi2024-03-26
Jild4
Son02
Betlar156-169
TilIngliz
Ilmiy sohaIqtisodiyot
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

Data fusion methodology; Automation of management; Managerial accounting; Financial management; Energy sector companies; Energy sector of Uzbekistan; Investment decision-making.

Ilmiy soha

Iqtisodiyot

Iqtibos keltirish

APAGlazova Marina Viktorovna (2024). DATA FUSION METHODOLOGY FOR AUTOMATING MANAGERIAL ACCOUNTING TO ENHANCE FINANCIAL MANAGEMENT OF ENERGY SECTOR COMPANIES IN UZBEKISTAN. Актуар молия ва бухгалтерия ҳисоби, 4(02), 156-169. https://finance.tsue.uz/index.php/afa/article/view/104
GOST (OAK)Glazova Marina Viktorovna DATA FUSION METHODOLOGY FOR AUTOMATING MANAGERIAL ACCOUNTING TO ENHANCE FINANCIAL MANAGEMENT OF ENERGY SECTOR COMPANIES IN UZBEKISTAN // Актуар молия ва бухгалтерия ҳисоби. – 2024. – T. 4, № 02. – P. 156-169.
MLAGlazova Marina Viktorovna. “DATA FUSION METHODOLOGY FOR AUTOMATING MANAGERIAL ACCOUNTING TO ENHANCE FINANCIAL MANAGEMENT OF ENERGY SECTOR COMPANIES IN UZBEKISTAN.” Актуар молия ва бухгалтерия ҳисоби, 4(02), 156-169, 2024. https://finance.tsue.uz/index.php/afa/article/view/104
ChicagoGlazova Marina Viktorovna. “DATA FUSION METHODOLOGY FOR AUTOMATING MANAGERIAL ACCOUNTING TO ENHANCE FINANCIAL MANAGEMENT OF ENERGY SECTOR COMPANIES IN UZBEKISTAN.” Актуар молия ва бухгалтерия ҳисоби, 4(02), 156-169 (2024). https://finance.tsue.uz/index.php/afa/article/view/104
HarvardGlazova Marina Viktorovna (2024) ‘DATA FUSION METHODOLOGY FOR AUTOMATING MANAGERIAL ACCOUNTING TO ENHANCE FINANCIAL MANAGEMENT OF ENERGY SECTOR COMPANIES IN UZBEKISTAN’, Актуар молия ва бухгалтерия ҳисоби, 4(02), 156-169. https://finance.tsue.uz/index.php/afa/article/view/104
BibTeX
@article{glazovamarinaviktorovna2024,
  title = {DATA FUSION METHODOLOGY FOR AUTOMATING MANAGERIAL ACCOUNTING TO ENHANCE FINANCIAL MANAGEMENT OF ENERGY SECTOR COMPANIES IN UZBEKISTAN},
  author = {Glazova Marina Viktorovna},
  journal = {Актуар молия ва бухгалтерия ҳисоби},
  year = {2024},
  volume = {4},
  number = {02},
  pages = {156-169},
  url = {https://finance.tsue.uz/index.php/afa/article/view/104}
}

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