2782-6333 3 5 2022 1-93

RAR RUS 8-21 Central Russian Institute of Management Branch of RANEPA, Orel, Russian Federation Eremina Irina Information support for business activities on the basis of a systematic approach The study presents a solution to the urgent research problem related to improving information support for the regulation of business activities. Theoretical aspects of its development were studied, and it was found that modern information technologies are the source and cause of the necessary transformations, both in society and in business. Scientists have argued that the process of organising information support includes a continuous analysis of basic information for business activities from both internal and external sources in the market environment. The structure and content of the systematic approach were adapted to organise the information support for the regulation of business activities. Using this approach, the information support system is captured as part of a single management system capable of ensuring the interaction of the managerial link of the business entity with external sources of information support. Further, a systematic approach is applied in conducting the functions of the regulatory process, that is, planning, organising, accounting, analysing, controlling, as well as implementing the interaction of structural elements. We conducted quality diagnostics of the parameters of information support for business entities. Based on the results of the survey, the necessary parameters were selected, and the coefficient of the quality of the information support for the regulation of business activities was determined. We offer recommendation based on the quality coefficients of information support for these business entities. 10.48554/SDEE.2022.3.1 334 business activities systematic approach information support information development https://sustainable.spbstu.ru/article/2022.5.1/ 3-1-(2).pdf

RAR RUS 23-39 Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Skorobogatov Andrey Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Kobzev Vladimir Fuzzy-multiple approach in design and technology management modeling preparation of production at machine-building enterprises As economic systems are characterised by influential uncertainties (or uncertainty factors), performance assessment in engineering enterprises requires a solid scientific background for managerial decision-making in business. This article offers a model of a fuzzy system for the development of design documentation at the design pre-production stage and technological documentation at the technological pre-production stage. The model aims to manage and frame the process of design and technological pre-production. Based on fuzzy logic tools, the model allows engineering enterprises to operate temporary parametrons of sequential and parallel-sequential processes involved in the development of design documentation and technological documentation. This study demonstrates that a fuzzy-set approach can serve as an effective means for design and technological pre-production management at engineering enterprises in a highly competitive market. Multiple scientific and technological improvements, together with the overall digital transformation of engineering, have driven core changes in business processes, their timing, and costs. Even with tighter deadlines for design and technological pre-production, managerial decisions are expected to fit them with sufficient flexibility to ensure mobility. This fact does not undermine the importance of general supervision and awareness of management over the existing bottlenecks in the entire production management system and in design and technological pre-production. 10.48554/SDEE.2022.3.2 658.512.4 economic models fuzzy-set approach engineering enterprises design and technological pre-production digital technologies market environment business processes fuzzy logic https://sustainable.spbstu.ru/article/2022.5.2/ 3-2-(2).pdf

RAR RUS 41-60 A-9693-2017 56087793300 0000-0002-1254-0464 Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia Rodionov Dmitrii drodionov@spbstu.ru

Polytechnicheskaya 29

Vologda Scientific Center of the Russian Academy of Sciences, Russian Federation Dianov Daniil 0000-0001-8297-8077 Vologda State University, Vologda, Russia Dianov Sergey Agent-based modelling of sustainable development of regional healthcare infrastructure This study examines the problems of providing support to decision-making in the field of sustainable development of a regional healthcare infrastructure. To tackle these problems, there is a need to fund healthcare systems more efficiently, improve sanitation and hygiene, and provide access to medical services for a wide strata of the population. A network of healthcare organisations should be developed based on the structure and level of morbidity, mortality, gender and age composition of the population, climate and geography of territories, and transport accessibility of healthcare organisations. An important scientific challenge we face today is how the spatial allocation of healthcare infrastructure facilities can be enhanced. The paper presents the authors’ concept of building agent-based models that safeguard decision-making on the best spatial allocation of healthcare infrastructure facilities. It includes a formal description of the objective of selecting the best location for healthcare infrastructure facilities, as well as the final description of the models, using a protocol for standardising the description of agentbased models. Relying on this concept, the paper presents a prototype of an agent-based model, built for a real-world system. The concept can potentially be used to solve a wider range of problems related to spatial allocation of social infrastructure facilities, which could ensure sustainable development of the regional social infrastructure. 10.48554/SDEE.2022.3.3 336.645.1 sustainable development regional infrastructure healthcare system spatial allocation agent-based modelling https://sustainable.spbstu.ru/article/2022.5.3/ 3-3-(2).pdf

RAR RUS 61-74 Yonsei University, Seoul, Republic of Korea Wang Xuefan Bank of Shanghai Co. LTD, Shanghai, China Shi Jinyi 0000-0002-4911-2682 Zhejiang University, Hangzhou, China Wang Zhikai

66 Yuhangtang Road, 310058

Accurately Cognising the Digital Economy and Facilitating Its Healthy and Sustainable Development in China There is no doubt that the digital economy has brought much convenience to our work and life, improving productivity and optimising social service and government efficiency. However, there are also quite a few problems in the development of the digital economy, such as fake and even malicious information flooding the internet and new media, counterfeit e-commerce, and the shocks to the economy and society brought about by the extensively advanced development of internet technologies and fintech. People lack an understanding of the digital economy, leading to criminal offences and economic offences. This paper presents an accurate review of the development of the digital economy and its extensive effects on social economic growth. It begins with the introduction of the digital economy, with a profound influence on human productivity and people’s lives, plus an essential literature review. It explains the research materials and methods, as well as the structure of the article. It then explores the development law of the digital economy and inteprets the essence of the accurate cognition of the digital economy. Further, it traces the impact of the digital economy on society and emphasises the normalisation of the development of the digital economy. This is followed by a deep assessment of the service efficiency of the digital economy and building a new area for attracting investment. It examines the importance of the information transmission mechanism in avoiding the overlapping of digital isolated islands. The paper concludes with the premise of precisely defining the development stage of the digital economy so as to stimulate the iterative innovation of social economic development. 10.48554/SDEE.2022.3.4 338.1 digital economy digital credit cognition iterative innovation sustainable development https://sustainable.spbstu.ru/article/2022.5.4/ 3-4-(2).pdf

RAR RUS 76-93 S-8637-2017 56023272600 0000-0003-1403-3447 Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia Kudryavtseva Tatiana kudryavtseva_tyu@spbstu.ru

Polytechnicheskaya 29

S-8668-2017 57194696524 orcid.org/0000-0001-7171-7357 Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia Skhvediani Angi shvediani_ae@spbstu.ru

Polytechnicheskaya 29

Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Brazovskaia Viktoriia Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Dracheva Marina Engineering Economics: Scientometric Analysis of the Subject Area Engineering economics is located at the intersection of the science of economics and engineering practice, which means it attracts the attention of both fields. Engineering economics focuses on solving engineering problems and making decisions based on systematic cost-benefit analysis. Modern technologies push for the development and implementation of new methods of efficiency evaluation, decision-making, risk analysis, etc. It is obvious that the number of studies related to engineering economics is constantly growing, but there is still a shortfall of systematic quantitative and visual studies in this area, which explains the relevance of this article. A keyword analysis and an analysis of co-authors were carried out using VOSviewer to carry out a  scientometric study of engineering economics. The findings reveal that the central position in engineering economics is occupied by engineering and economic analysis, which is a combination of quantitative and qualitative methods for analysing differences in the economic efficiency of engineering alternatives. The most popular tools of engineering and economic analysis presented in scientific papers are risk analysis, cost-benefit analysis, replacement analysis, break-even analysis, method of option valuation, analysis of equivalent annual costs, and annual cash flows. 10.48554/SDEE.2022.3.5 330 engineering economics engineering economics analysis literature review scientometric analysis visualisation https://sustainable.spbstu.ru/article/2022.5.5/ 3-5-(2).pdf