Aim. The presented study aims to develop an approach to selecting a process in the organization’s activities or a section of a separate process, the digital transformation of which will produce the greatest effect.

Tasks. The authors determine a general approach to choosing where to apply digital technologies in an organization or in the transformed process to the greatest effect; develop criteria for choosing where to apply a transformational solution during digital transformation; create a conceptual framework for process analysis during digital transformation; ensure the reproducibility and efficiency of digital transformation regardless of the level of competence of the responsible manager.

Methods. The methodological basis of this article includes studies on digital transformation, theoretical and practical materials regarding the application of transformational solutions during its implementation, and practical cases of digital transformation. The applied methods make it possible to identify patterns and form a conceptual understanding of the approach to analyzing the efficient use of digital technologies. When searching for a conceptual solution to the problem of finding a place to apply digital technologies, the authors use their developments in the field of digital transformation.

Results. The DIGITAL analysis method developed by the authors contains a conceptual understanding of criteria for choosing where to apply a transformational solution during digital transformation within the specific transformed process, making it possible to digitally transform any process or organization as a whole until they reach the level of digital maturity corresponding to an autonomous technical system. The developed method of DIGITAL analysis increases the efficiency of digital transformation and does not require significant experience in its implementation. The novelty of DIGITAL analysis is that it makes it possible to turn digital transformation into a formalized process instead of the usual application of well-known digital transformation cases.

Conclusions. The DIGITAL analysis method not only increases the efficiency of digital transformation, but also provides an opportunity to effectively choose where to apply a transformational solution. The developed method of DIGITAL analysis can be used independently or as a component of a comprehensive methodology for conducting digital transformation. The use of DIGITAL analysis is not tied to a particular industry or process under consideration.

Aim. The presented study aims to identify and describe the relations of mutual restriction between the fundamental spheres of a human-oriented economy.

Tasks. The author describes problems associated with the need to study the human-oriented economy; establishes horizontal and vertical economic relations in the economic system; discovers the specific aspects of horizontal economic relations through the interaction between the spheres of a human-oriented economy; identifies normal and pathological restriction relations.

Methods. This study uses scientific methods of cognition, namely content analysis and the Wuxing Pentagram.

Results. Horizontal relations between the defining spheres of a human-oriented economy are determined. The resource (human needs) that ensures interaction between the spheres of the economic system under consideration is identified. Normal restriction relations are described: natural-material sphere — information-digital sphere, information-digital sphere — cognitive sphere, cognitive sphere — social-service sphere, social-service sphere — creatosphere, creatosphere — natural-material sphere. Pathological restriction relations are detected: informationdigital sphere — natural-material sphere, cognitive sphere — information-digital sphere, socialservice sphere — cognitive sphere, creatosphere — social-service sphere, natural-material sphere — creatosphere.

Conclusions. Examination of restriction relations in a human-oriented economy provides insight into the directions for the regulation of the corresponding economic system, which, according to the author, will ensure not only personal, but also economic growth.

Aim. The presented study aims to address the issues of the unevenness of construction market development and regional infrastructure development in the Russian Federation.

Tasks. The authors analyze the scale of the construction markets in Russian regions and compare it with the level of infrastructure development.

Methods. This study uses statistical methods of information processing, including the index method, ranking, and expert assessment. Input data for the analysis include official statistical reports of the Federal State Statistics Service (major socio-economic indicators and indicators of construction activity development in the constituent entities of the Russian Federation), analytical reviews of InfraOne Research — Russian infrastructure: development index 2020, and data from the SPARK service.

Results. The study examines the specific features of regional construction market development and divides regions into five groups based on the scale of construction markets. The authors assess the relationship between the volume of construction works and the scale of the contractor market with the values of the infrastructure development index and the volume of housing commissioning. It is concluded that there is a mutual influence between the scale of the construction market and the level of infrastructure development. The results of the study can be used in the development (updating) of strategies for the development of the construction complex and infrastructure, as well as in the implementation of government policy in this area.

Conclusions. Based on the analysis of the volume of construction works, Russian regions are divided into five groups depending on the scale of the construction market. The scale is assessed based on the extent of the region’s contribution to the total volume of construction works performed in the Russian Federation. Assessment of the relationship between the volume of construction works and the scale of the contractor market with the values of the infrastructure development index indicates that regions with a large volume of construction works have a higher infrastructure development index. The volume of construction works and the number of construction companies do not always have an effect the infrastructure development index.

Aim. The presented study aims to substantiate the content of the problem of improving the strategic planning of production and implementation of cloud software products (CSPs).

Tasks. The author analyzes the demand for cloud software products from the strategic perspective; analyzes the theoretical foundations of strategic planning; substantiates major enterprise goals in the development of SCPs in accordance with the goals and objectives of the national projects of the Russian Federation and the needs of user enterprises; classifies informatization enterprises engaged in the development of SCPs, making it possible to conduct a comparative audit of enterprises engaged in SCP development; develops the concept of strategic planning for informatization enterprises engaged in the development and implementation of SCPs.

Methods. This study uses strategic planning tools, statistical analysis of the development of digitalization enterprises based on cloud software products, the systems approach, theory of the efficiency of strategic planning of SCP development and implementation, theory of emergence in the assessment of the activities of an interconnected chain of cloud digitalization enterprises, mechanisms for coordinating economic interests based on the theory of collective decision-making.

Results. The pace of cloud digitalization of the Russian economy is insufficient and requires scientific, methodological, and government support. Well-known theoretical and methodological studies of strategic planning do not make allowance for the specific aspects of the activities of enterprises engaged in the production and implementation of SCPs and need to be further developed in this direction. The existing classification of SCPs does not fully meet the objectives of the national projects of the Russian Federation and the requirements of user enterprises. Enterprises engaged in the development and implementation of SCPs are classified to enable audit of the quality of their activities. The author proposes an original concept of improving the strategic planning of enterprises engaged in the development and implementation of SCPs.

Conclusions. Resolving the issues identified by the author is an important national economic objective for improving the strategic planning of the activities of informatization enterprises engaged in the development and implementation of SCPs. Solving this problem is key to increasing the economic efficiency of both informatization enterprises and SCP user enterprises in the context of cloud information systems, improving the efficiency of digitalization of the country’s economy as a whole.

Aim. The presented study aims to determine the prospects for the economic recovery of St. Petersburg after the recession caused by the COVID-19 pandemic with allowance for the digitalization factor and to evaluate directions for its development.

Tasks. The authors theoretically analyze the impact of crisis factors on the economy of St. Petersburg and assess the prospects for its recovery with allowance for the digitalization factor; identify the factors of the economic crisis in Russia and St. Petersburg under the influence of the COVID-19 pandemic; describe the potential advantages of using digitalization tools to restore the economy of Russia and St. Petersburg.

Methods. This study uses an integrated approach based on the economic-statistical and general scientific methods, methods of analogy, comparative analysis and systematization, as well as mathematical analysis and online survey.

Results. Theoretical analysis of scientific literature makes it possible to assess the impact of crisis factors on the economy of St. Petersburg and prospects for its recovery in the context of digitalization. Factors of the economic crisis in Russia and St. Petersburg that has developed under the influence of the pandemic are identified, and the potential advantages of digitalization in the economic recovery of Russia and St. Petersburg are examined.

Conclusions. It is determined that St. Petersburg has potential advantages in digitalization and the pace of introduction of digital technologies for economic recovery compared with other constituent entities of the Russian Federation. These advantages include the widespread use of broadband Internet by households, digital sales, intensive use of digital technologies in the business sector, advanced telecommunications infrastructure, etc. Some of the largest companies in St. Petersburg are successfully implementing a digital transformation strategy. Analysis shows the potential advantages and directions for the development of digitalization in the economic recovery of Russia and some of its regions, including St. Petersburg.

Aim. The presented study aims to examine the specific features as well as organizational and technical aspects of production logistics, taking into account its potential for using digital technologies.

Tasks. The authors consider the essence, purpose, and goals of production logistics; analyze major logistics systems used in production logistics; assess the prospects for using digital technologies in this sphere.

Methods. This study uses the methodology of strategic and logistics management, the systems approach, life cycle theory, general scientific methods of generalization, comparative, retrospective, and structural-functional analysis.

Results. The production and logistics systems of a company are considered as equivalent elements in the context of managing material flows in internal and external supply chains and achieving the company’s operational and development goals. In this regard, production logistics is shown as part of both logistics and production, which affects its organization and architecture. Under modern conditions, an approach based on certain data is widely used in production logistics. It requires active introduction of digital technologies in production logistics, the purpose of which is not to achieve technical or organizational perfection of business processes, but to select technologies from the perspective of creating additional value.

Conclusions. In the course of the study, three categories of activities associated with production logistics are identified. For each of these categories, the prospects and recommended classification of digital technologies are defined. Particular emphasis is placed on improving the quality and efficiency of data use. According to the authors, all information systems and digital technologies used in production logistics should be highly reliable. Thus, introduction of any new technologies in production logistics requires careful consideration. Regardless of the type of technology, a systems approach to the organization and development of production logistics is a prerequisite for the efficient operation of the company as a whole.

Aim. The presented study aims to define the concept of competition in optimal resource allocation and to determine indicators of competition in practical tasks directly in the mathematical formulation of the problem.

Tasks. The authors determine mathematical indicators that characterize the level of competition in resource allocation optimization tasks and show examples of the adequacy and sensitivity of the selected competition indicators in various economic situations.

Methods. The selected competition indicators for these tasks are based on the concept of “rigorous selection” of competitors applying for resources. The indicators are calculated in full accordance with the known optimization methods and optimality conditions for problems of this class, making it possible to interpret the results of optimization as a measure of competition for resources.

Results. Two types of competition indicators for linear and non-linear cases of optimal resource allocation problems are defined and formalized. Examples of the dependence of efficiency on different compositions of the competitive environment are shown. Dependencies of the “rigorous selection” of competitors in the context of resource depletion are described.

Conclusions. The competition indicators considered in the study can be included in the standard analysis for solving the problems of optimal resource allocation, which involves finding an extremum, searching for an optimal plan, analyzing stability, limits, the effect of restrictions on the target function, dual estimates, a measure of resource scarcity, etc. Adding the competition indicator to this analysis provides another factor for analysis, which can be significant under otherwise equal conditions. The competition indicator can be used both in a multi-step procedure for finding the extremum of a function (for example, as an additional criterion for choosing a free variable) and in the analysis of the results of problem-solving.

Aim. The presented study aims to describe the fundamentals of the technological modernization of industrial enterprises that provide an innovative way of economic development.

Tasks. The authors substantiate major approaches to the definition of technological modernization of industrial enterprises, making it possible to specify this concept and to propose a classification of its main types; consider the possibility of using end-to-end planning tools when reassessing the need for modernization processes at industrial enterprises.

Methods. This study uses general and special methods, including analysis and synthesis, induction and deduction, generalization and comparison, logical and comparative analysis, and planning to examine the specific features of implementation of technological modernization of industrial enterprises, particularly using end-to-end planning, and to determine the main types of this process.

Results. Questions related to the fundamentals of technological modernization of industrial enterprises are considered. In addition, classification features are proposed to determine its main types and methods of implementation. To expand the levels of modernization management, it is recommendable to use end-to-end planning technologies.

Conclusions. Examination of the specific features of technological modernization of industrial enterprises makes it possible not only to improve the equipment of these business entities, but also to gain an understainding of the factors that ensure innovative and technological development, contributing to technological breakthrough and overall economic growth.