2949-1290
Technoeconomics
4
1
12
2025
1-85
UNK
RUS
4-12
Peter the Great St.Petersburg Polytechnic University
Luparev
Kirill
Saint Petersburg, Russia
N-1787-2013
56652307100
0000-0001-6251-7644
Imperial College London
Svetunkov
Sergey
London, The United Kingdom
The possibility of constructing universal nonlinear autoregressions
Autoregression models are widely used in economic practice both in modelling stochastic processes and in forecasting them. However, all these models generating nonlinear dependencies are essentially linear models. The accuracy of these models can be increased by giving them a nonlinear form. However, at present, there are no universal methods and techniques for forming such models, and the problem of constructing nonlinear autoregressions does not have a satisfactory solution. Researchers add non-linear components to autoregressions, most often using intuition. In our study, we examine the possibility of using the model of the elementary image of the Kolmogorov-Gabor polynomial as a formalized and universal tool for solving such problems. Several examples show that imparting nonlinearity to autoregression models can lead not only to an increase in the accuracy of approximation but also to an increase in the accuracy of short-term forecasting.
10.57809/2025.4.1.12.1
330.47
autoregressions
elementary image of Kolmogorov-Gabor polynomial
modeling of stochastic processes
short-term forecasting
nonlinearity
https://technoeconomics.spbstu.ru/article/2025.12.1/
1-Svetunkov-Luparev.pdf
UNK
RUS
13-21
0000-0001-9384-1877
Peter the Great St.Petersburg Polytechnic University
Shirokova
Svetlana
St. Petersburg, Russia
Peter the Great St.Petersburg Polytechnic University
Kuchmina
Anastasia
Saint Petersburg, Russia
Peter the Great St.Petersburg Polytechnic University
Shpagin
Vladislav
Saint Petersburg, Russia
Application of machine learning algorithms in improvement of the textile production efficiency
The light industry of Russia is a large national economic complex, which occupies an important place in the formation of the gross national product and has a significant impact on the economy. This research examines the possibilities of using a hardware-software complex based on machine learning algorithms to automate the process of detecting defects in fabrics at a textile enterprise. Throughout the study, the authors define the main reasons for the urgent need to automate the process of unpacking fabrics, draw up the system of requirements for the hardware-software complex using machine learning algorithms to detect and classify defects in fabrics, justify the effectiveness of the implementation of the developed hardware-software complex. As a result, it was proved that the implementation of this complex will contribute to improving the overall efficiency of textile production by automating the process of fabric quality control.
10.57809/2025.4.1.12.2
330.47
textile industry
defects of textile products
quality control
software and hardware complex
convolutional neural networks
efficiency of implementation
https://technoeconomics.spbstu.ru/article/2025.12.2/
2-Shirokova-Kuchmina-Shpagin.pdf
UNK
RUS
22-32
Peter the Great St.Petersburg Polytechnic University
Isakova
Alexandra
Saint Petersburg, Russia
57210345222
0000-0002-4822-6768
Peter the Great St.Petersburg Polytechnic University
Levina
Anastasia
Saint Petersburg, Russia
Energy transition: developing a concept of a digital transformation model for a renewable energy enterprise
The energy transition has a significant impact on global energy consumption, changing the structure of the global electricity market. The research is aimed at assessing the opportunities of digitalization of the energy sector. The authors analyze the current state of the global energy sector; consider the development trends in renewable energy sources around the world; examine the technical aspects of the transition to renewable energy sources; study the possibility of introducing the IoT into the infrastructure of renewable energy sources using the existing cases; develop implementation models and digital transition using the example of a wind farm; describe the successive stages that ensure the effective implementation of new technologies and minimize risks when implementing the digital transformation model of a wind farm.
10.57809/2025.4.1.12.3
330.47
energy transition
digital transformation
digitalization
renewable energy sources
smart sensors
https://technoeconomics.spbstu.ru/article/2025.12.3/
3-Isakova-Levina.pdf
UNK
RUS
33-42
Peter the Great St.Petersburg Polytechnic University
Shishkina
Anna
Saint Petersburg, Russia
Peter the Great St.Petersburg Polytechnic University
Khalimova
Polina
Saint Petersburg, Russia
G1 Software
Li
Artem
Saint Petersburg, Russia
Optimization project for the management system of a loyalty program based on the process approach
This study is devoted to the development of the project optimization of the club loyalty program at a small hotel on the basis of the “Loyalty program discount accrual” business process. Throughout the research the authors examine a typical model of this business process and describe the main theoretical and methodological aspects of the formation and improvement of the loyalty program. As a result, the authors articulate the main elements and features of the automated loyalty program management system and develop the model of the “Optimization of the club loyalty program” business process.
10.57809/2025.4.1.12.4
330.47
process management
service sector
relationship marketing
loyalty program
hospitality industry
https://technoeconomics.spbstu.ru/article/2025.12.4/
4-Shishkina-Khalimova-Li.pdf
UNK
RUS
43-51
Peter the Great St.Petersburg Polytechnic University
Grigoryeva
Anastasiia
St. Petersburg, Russia
Implementation of a platform solution for project management automation in the entrepreneurial ecosystem of Russian Universities
One of the most promising areas for ensuring the technological sovereignty of the Russian Federation is involvement of university students and young researchers in technological entrepreneurship. A startup studio – a startup factory that focuses on the mass production of new high-tech companies – seems to be an effective direction for increasing the “convertibility” of business ideas based on HEI developments into an operating business. This research examines an “AS-IS” architecture model of a university startup studio for the first post-launch year as a part of the Russian federal project. In the “TO-BE” model, the authors show that the implementation of a project management platform across the net of Russian university startup studios may increase the potential of transferring technologies form universities to a much vaster application in business.
10.57809/2025.4.1.12.5
330.47
technological entrepreneurship
startup studio
university entrepreneurship
enterprise architecture
https://technoeconomics.spbstu.ru/article/2025.12.5/
5-Grigoreva.pdf
UNK
RUS
52-63
Peter the Great St.Petersburg Polytechnic University
Krasnoshchekov
Artyom
Saint Petersburg, Russia
University of Nottingham
Shepel
Rostislav
Nottingham, UK
MVP Web Service for a Cosmetology Company with Artificial Intelligence Elements
This article focuses on the development of an MVP web service for a cosmetic company utilizing internet search technologies, web scraping, and generative artificial intelligence models. The increasing demand for personalized cosmetic products highlights the relevance of this study, which aims to optimize product selection and analysis processes. The research introduces a web service designed to analyze cosmetic products and provide personalized recommendations. The IT architecture, comprising two microservices, was developed and tested on real data. The results demonstrated a recognition accuracy of 99.45% for the company’s products and 92.45% for products from other brands. The overall success rate for data processing reached 92.97%. The proposed solution proves to be effective for creating digital products with minimal development costs and offers potential for further functionality expansion.
10.57809/2025.4.1.12.6
330.47
MVP web service
cosmetic industry
artificial intelligence
OCR
personalized recommendations
generative AI
LLM
microservices architecture
parsing
https://technoeconomics.spbstu.ru/article/2025.12.6/
6-Krasnoshchekov-Shepel.pdf
UNK
RUS
64-73
Peter the Great St.Petersburg Polytechnic University
Vasilyev
Vladimir
Saint Petersburg, Russia
Peter the Great St.Petersburg Polytechnic University
Novikova
Valeria
Saint Petersburg, Russia
0000-0001-8800-5567
Peter the Great St.Petersburg Polytechnic University
Khnykina
Tatyana
St. Petersburg, Russia
Improvement of performance incentives in hospitality employees on the basis of business process optimization
This research is devoted to the optimization of business processes in human resource management (HR) in order to improve performance incentives. Theoretical and methodological aspects of the formation of an HR management system are presented. The authors specify and describe the formation of an HR strategy and labour incentive policy in the hospitality industry. As a result, the conducted study makes it possible to develop typical models of business process – “stimulation of personnel” at different detailing levels. The key disadvantages of the presented models are described, together with the main directions of their optimization and "TO BE" models.
10.57809/2025.4.1.12.7
330.47
process approach
business process
human resource management
personnel policy
performance incentives
hospitality industry
https://technoeconomics.spbstu.ru/article/2025.12.7/
7-Khnykina-Vasiliev-Novikova.pdf
UNK
RUS
74-84
Peter the Great St.Petersburg Polytechnic University
Tikhomirova
Maria
Saint Petersburg, Russia
0000-0003-1032-7173
Peter the Great St.Petersburg Polytechnic University
Voronova
Olga
St. Petersburg, Russia
Digital tourism ecosystems and platforms: theoretical and methodological aspects
This research considers the issues of digitalization of tourism. The need to create a universal digital platform in Russia as a result of the ecosystem approach is discussed at various levels, including state, education, and commerce. This study proves to be highly relevant because different strategies and investment initiatives are actively being undertaken in the industry. The attractiveness of the Russian regions is also increasing, thus contributing to the development of domestic tourism. The authors present a top-level comparative analysis of existing digital platforms and their limitations in meeting the needs of key stakeholders, and develop an algorithm of requirements gathering for the creation of a universal digital platform. As a result, a structured model for the development of a digital tourism platform is proposed, including the interests of stakeholders, functional roles of tourism market participants, as well as the necessary digital infrastructure. The obtained results can serve as a methodological basis for the development of a tourism ecosystem that promotes the interaction of market participants and increases the availability of industry tourism services.
10.57809/2025.4.1.12.8
330.47
digitalization
ecosystem approach
digital platforms
tourism
tourism digital platform
integrative model
https://technoeconomics.spbstu.ru/article/2025.12.8/
8-Voronova-Tikhomirova.pdf