Tools for digitalization of economic processes for supporting management decision-making in the region

4th International Scientific Conference "Arctic: History and Modernity"

生态环境科学;历史学

Skotarenko, O.^1 ; Babkin, A.^2 ; Senetskaya, L.^1 ; Bespalova, S.^1

Murmansk Arctic State University, Murmansk, Russia^1

Peter the Great Saint-Petersburg Polytechnic University, Saint-Petersburg, Russia^2

关键词: Automatic processing;    Economic potentials;    Excel spreadsheets;    Management decision-making;    Multi-dimensional model;    Software products;    Statistical information;    Structural elements;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/302/1/012147/pdf
DOI  :  10.1088/1755-1315/302/1/012147

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

The article proposes a solution to one of the key problems - the use of information technology in the management of territorial processes based on the development of tools for digitalization of economic processes on the basis of the software product to identify the structural elements of the economic potential of the regions of Russia, including the features of such regions as the Arctic. As a tool for the implementation of this approach, the VBA programming language built into the Excel spreadsheet is used, which allows flexible use of a standard software product for solving problems at the macroeconomic level. The aim of the study is to develop tools for digitalization of economic processes on the basis of a computer program to determine the extreme structural elements of the growth of the economic potential of the regions to support management decision-making. The systematic approach, methods of statistical and economic analysis, including horizontal and vertical analysis, allowed the authors to assess the dynamics of extreme values of the level of development of economic sectors in the regions of Russia and to develop recommendations for the development of the Federal districts and regions. The directions of further researches consist in application of multidimensional modeling of data for collecting and automatic processing of statistical information on a condition of subjects of the Arctic region.