2782-6333 2 4 2022 1-80

RAR RUS 8-21 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

Nizhny Novgorod State University named after N.I. Lobachevsky, Nizhny Novgorod, Russian Federation Koshelev Egor 0000-0001-5603-5737 ICADE, Comillas Pontifical University, Madrid, Spain Escobar-Torres Leandro Formation of innovative-industrial cluster strategy by parallel and sequential real options The subject of this study is the strategy of the innovative-industrial cluster. The purpose of this work is to form a cluster strategy using parallel and sequential real options. The method proposed for this involves applying a parallel real option when justifying the prospect of acquisition, and a sequential real option to assess the prospect of individual development. A parallel option involves assessing risky forms of financing as part of the cluster strategy presented by the core company. In this case, the operation "management buyout" (MBO) is considered, for example, from the managers of the parent organization. A sequential option implies the stage of cluster strategy implementation. In this case, we consider two options that make up the sequence of possible adjustments to the strategy of the core company. This is an option to develop experience in the cluster and an option to switch the cluster strategy. As an example of the implementation of the presented method, the process of forming a strategy for the development of a pilot electric power cluster, was considered. Here, a sequential option allows us to obtain a slightly higher net present value than the net present value of a parallel option. Therefore, the managers must themselves decide whether to negotiate on the acquisition or to independently develop further based on the stage of implementation of the cluster strategy. The second choice will allow the preservation and development of the pilot innovative-industrial cluster of the electric power industry in the region in accordance with the priorities of the region in which it is located. This will make it possible to further realise the innovative potential in the region. 10.48554/SDEE.2022.2.1 336.645.1 innovative-industrial cluster compound real option innovations cluster strategy https://sustainable.spbstu.ru/article/2022.4.1/ 1-(4).pdf

RAR RUS 23-35 0000-0003-3322-5911 Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Sokolitsyna Natalya 0000-0002-8640-1678 Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Sokolitsyn Alexander Modeling of production processes parameters of industrial enterprises Corporative industrial firms’ enterprises for organizationally-technical and economic measures on product competitiveness improvement realization require creating low-cost and resource-saving mechanisms. An important role in this mechanism is to allow for wide searching and systematic internal reserves to economize production, assessing and choosing variants of improving constructions, technologies, and ways to organize production. Identifying economically stimulating operators allows for firms to participate in measures and elaborations realization. Because of the role of economic analysis in production management growth, practical interest in these analysis methods is relevant at all management levels, from brigades to enterprise directors. A comprehensive information model of enterprise management tasks was formed. Statistical modelling of the production process parameters of industrial enterprises based on a single balance sheet model is characterized by system integration based on a single information base and software. The developed model makes it possible to assess the state of the production process of the enterprise and to increase the efficiency of using the results of economic analysis in the preparation and implementation of several levels of production plans, and, as a result, to increase the level of assessment of the realism of the implementation of the established production plans. 10.48554/SDEE.2022.2.2 338.3 modelling production process parameters economic analysis https://sustainable.spbstu.ru/article/2022.4.2/ 2-(4).pdf

RAR RUS 37-48 Mongolian University Science and Technology, Ulaanbaatar, Mongolia Choijiljav Ulam-Orgil 0000-0001-9239-0760 Chemnitz University of Technology, Chemnitz, Germany Tudevdagva Uranchimeg Comparative study of solar and wind power plant tariff and investment costs One of the main directions of sustainable energy is the development of renewable energy. Mongolia is rich in renewable energy resources and has a very favourable geographical location. Therefore, with the construction of solar and wind power plants, these power plants will be able to supply power to half-day and evening peak loads in any season of the year, and to reduce the amount of imported energy from Russia during peak hours. The Renewable Energy Law was enacted in 2007 and revised in 2015 and 2019, and it has successfully met its goal of developing the sector and attracting foreign investors. The law sets a cap on electricity sales in US dollars, which has had a significant impact on system-wide efficiency. Compared to 2007, the average USD exchange rate increased by 143.41%. The price of 1 kWh of electricity increased from 210.68 MNT to 512.82 MNT for solar power plants; for wind power plants, it increased from 111.19 MNT to 270.66 MNT. In other words, the price of renewable energy in our country fluctuates according to the dollar exchange rate, and the US dollar exchange rate has increased by an average of 7% per year over the past 15 years. Therefore, this paper examines how the US dollar tariff in the Renewable Energy Law affects feed-in tariffs. 10.48554/SDEE.2022.2.3 338.4 feed-in tariff investment cost solar and wind power plant renewable energy electricity market sustainable energy energy economics https://sustainable.spbstu.ru/article/2022.4.3/ 3-(4).pdf

RAR RUS 50-62 0000-0002-0941-6358 Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Babkin Aleksandr 0000-0002-7355-3277 Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Alekseeva Natalia 0000-0001-5022-0421 Buketov Karagandy University, Karaganda, Kazakhstan Tashenova Larissa 0000-0002-6050-1806 National University of Uzbekistan named after Mirzo Ulugbek, Tashkent, Uzbekistan Karimov Diyor Study and assessment of the structural capital of an innovation industrial cluster The relevance of this study is underscored by the intellectualisation of industrial and business processes, the growth of the knowledge intensity of products, and the increased complexity of organisational interaction between economic entities. This study aims to formulate the concept and assess the structural capital of an innovation industrial cluster on the basis of the developed methodology. The object of the study is the structural capital of the innovation industrial cluster “Development of information technologies, radioelectronics, instrumentation, and means of communication and infotelecommunications of Saint Petersburg”. Using various research methods, including observation, surveys, questionnaires, analysis, synthesis, and mathematical modelling, the study focuses on the process of assessing the structural capital of the innovation industrial cluster. This paper presents a study of the types of intellectual capital of an innovation industrial cluster that analysed the internal and external environment of the cluster. We designed a methodology for assessing the structural capital of the innovation industrial cluster and assessed the structural capital of the innovation industrial cluster, providing recommendations for its development based on the study’s findings. Future research should focus on the development of theoretical, methodological, and practical provisions for assessing the capital of innovation industrial clusters. Insights from this study can inform management decisions in innovation clusters and enterprises when evaluating intellectual property. 10.48554/SDEE.2022.2.4 332.1 cluster associations innovation industrial cluster intellectual capital structural capital value https://sustainable.spbstu.ru/article/2022.4.4/ 4-(4).pdf

RAR RUS 63-80 Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia Shmeleva Anastasiia Peter the Great St.Petersburg Polytechnic University, Saint-Petersburg, Russia Suloeva Svetlana

Polytechnicheskaya 29

Development of a mechanism for adapting digital innovation potential of an organisation with allowance for peculiarities of digital innovation projects This paper is devoted to the problem of forming the innovation potential of an organisation that implements digital innovation projects. The authors have developed a mechanism for adapting the digital innovation potential (DIP) of an enterprise to the strategic goals and objectives of its innovative development, taking into consideration the factors of the innovation climate and internal environment. The relevance of the study is rooted in the increasing dynamism, unpredictability, and turbulence of the external and internal environments of organisations and the high rate of implementation of advanced digital technologies. These changes should be reflected in enterprise management systems, including innovation management systems. Different types of digital technologies are characterised by specific factors of development and implementation. This determines the peculiarities in the formation of the innovation potential required to implement such projects, as well as the ambiguity of the number and composition of analytical indicators in its evaluation. The theoretical and methodological basis of the study were the publications of international and Russian authors devoted to the problems of adapting economic systems to the conditions of a dynamically changing environment, as well as the study of the essence, formation, and evaluation methods of the innovation and digital potential of an organisation. The paper presents the author’s interpretation of the concept of digital innovation potential. The authors substantiate the sequence of stages for identifying priority areas of adaptation and development of necessary measures for the formation of the target level of digital innovation potential, and propose a methodology that allows identifying key factors and determining the degree of influence for each of them. Based on the developed methodology, the most significant areas of adaptation of the digital innovation potential of an oil and gas enterprise during implementing the project of introducing virtual and augmented reality technologies were identified. 10.48554/SDEE.2022.2.5 334.02 digital innovation projects innovation potential of an organisation adaptation mechanism innovation climate external and internal environment factors digital technologies https://sustainable.spbstu.ru/article/2022.4.5/ 5-(4).pdf