Technoeconomics

UNK RUS 4-21 N-1787-2013 56652307100 0000-0001-6251-7644 Imperial College London Svetunkov Sergey

London, The United Kingdom

Elementary image of the Kolmogorov-Gabor polynomial in economic modeling Today, neural networks are actively used in modeling complex nonlinear dependencies. Amid such a rapid growth of interest in this powerful tool for modeling various objects and processes, research in the natural sciences and engineering, the work on the application of neural networks in economics is vanishingly small. This is explained both by the complexity of the modeling tool itself - neural networks, and by the object of modeling - the evolving economy. At the dawn of the development of neural networks, the method of modeling processes using Kolmogorov-Gabor polynomials (or Wiener series) was considered as an alternative. For various reasons, this method lost the competitive battle, and neural networks prevail. The article presents a method and technique for constructing an elementary image of the Kolmogorov-Gabor polynomial and shows that today it can be used as an alternative to neural networks in modeling of economic processes. 10.57809/2024.3.2.9.1 330.47 economic and mathematical modeling nonlinear processes multidimensional dependencies neural networks Kolmogorov-Gabor polynomial N. Wiener series https://technoeconomics.spbstu.ru/article/2024.9.1/ 1-Svetunkov.pdf

UNK RUS 22-33 Peter the Great St.Petersburg Polytechnic University Skatova Maria

Saint Petersburg, Russia

Assessment of requirements of regulatory documents on the use of artificial intelligence in higher education This scientific article is devoted to the systematization of the requirements of domestic standards and other international regulatory documents in the field of application of artificial intelligence technologies in higher education. The research includes analysis of the main standardizing domestic and international documents, identification of drivers and goals of higher education institutions in the use of artificial intelligence technologies in educational processes. The article also presents a model of motivational extension within the TOGAF concept using the ArchiMate enterprise architecture modelling language, which allows to systematize both the requirements of standards and the motivations of higher education institutions to use artificial intelligence. The results of the study can contribute to a more effective integration of artificial intelligence technologies in higher education, taking into account the current standards and needs of educational institutions. 10.57809/2024.3.2.9.2 330.47 artificial intelligence higher education higher education institution standards documents requirements educational processes motivation extension ArchiMate TOGAF https://technoeconomics.spbstu.ru/article/2024.9.2/ 2-Skatova.pdf

UNK RUS 34-49 0000-0003-1032-7173 Peter the Great St.Petersburg Polytechnic University Voronova Olga

St. Petersburg, Russia

Peter the Great St.Petersburg Polytechnic University Novikova Ekaterina

Saint Petersburg, Russia

Interactive information systems in the hospitality industry In the changing landscape of the hospitality industry, the integration of modern consumer interaction technologies has become a must for hotels to remain competitive and meet the changing expectations and needs of guests. Thus, more and more collective accommodation facilities are implementing innovative solutions to enhance comfort, safety and personalization of service. This article is devoted to analyzing the possibilities of interactive systems in the enterprises of the hospitality industry. The study considers the main information systems of hospitality enterprises, methods and options for providing an interactive map, identifies functional requirements for project implementation in ArchiMate, and determines the socioeconomic effect of implementing additional interactive information systems. 10.57809/2024.3.2.9.3 330.47 interactive map information technology hospitality industry mobile application interaction interface https://technoeconomics.spbstu.ru/article/2024.9.3/ 3-Voronova-Novikova.pdf

UNK RUS 50-61 Land & Larder Chingovo Carlean Assessment of ICT implementation in agriculture The article looks into the role IT plays in modern agriculture, focusing specifically on its abilities to enhance efficiency, productivity and sustainability. It seeks to answer the question: How does technology empower farmers and what influences their uptake of these innovations? The assessment analyzes various IT uses in agriculture that include precision farming, sensor networks, agricultural robotics, data analytics and mobile applications. The research emphasizes the usefulness of these technologies for efficient resource allocation; waste reduction; increase crop production; better disease management and facilitated market access. Additionally, it explores some factors that may hinder or facilitate ICT adoption in agriculture such as access to technology, digital literacy levels, affordability of terms among others mentioned here. Finally, key strategies are identified that promote broad based technology adoption stressing the importance of collaboration among farmers, policy makers as well as technology developers and research institutions. This all-inclusive analysis is aimed at providing valuable insights to stakeholders engaged with agricultural development by drawing attention to how information technology has the potential for transformative change in agriculture leading to improved farm incomes and fostering sustainable agricultural practices. 10.57809/2024.3.2.9.4 330.15 agriculture information and communication technology (ICT) market Internet of Things (IOT) robotics remote sensing improved efficiency https://technoeconomics.spbstu.ru/article/2024.9.4/ 4-Chingovo.pdf

UNK RUS 62-71 Peter the Great St.Petersburg Polytechnic University Sheleyko Viktoria

Saint Petersburg, Russia

Peter the Great St.Petersburg Polytechnic University Krestnikova Anastasia

Saint Petersburg, Russia

Methods of online reputation management in enterprises Today, reputation management is one of the most important components of successful business. This research is devoted to the study of the factors of formation of company reputation in the Internet, as well as the development of measures to improve the management of online reputation of enterprises. In the course of the study, the authors analyzed the methods of assessing the online reputation of enterprises, identified the tools for managing the reputation of companies in the digital environment, and put forward a number of proposals to improve online reputation management. 10.57809/2024.3.2.9.5 330.47 online reputation business reputation reputation management ORM SMM cost per click (CPC) cost per mille (CPM) cost per action (CPA) https://technoeconomics.spbstu.ru/article/2024.9.5/ 5-Sheleyko-Krestnikova.pdf

UNK RUS 72-84 Peter the Great St.Petersburg Polytechnic University Rudkovskaya Yulia

Saint Petersburg, Russia

Improvement of the business model of a management company via optimization of business processes This study is devoted to the analysis and improvement of the business model of a management company based on the optimization of business processes. In the course of the research, we analyzed the features of the business modeling system in terms of management, main and supporting processes of management companies, as well as considered the business processes of the company's core activities and key resources of the company. As a result of the study the main shortcomings in the work of enterprises and a number of measures to improve the business processes of problem areas of the company's business model were identified. 10.57809/2024.3.2.9.6 330.47 business model management company business process business process model https://technoeconomics.spbstu.ru/article/2024.9.6/ 6-Rudkovskaya.pdf

UNK RUS 85-98 Peter the Great St.Petersburg Polytechnic University Babkina Amina

Saint Petersburg, Russia

Information investment platform as an improvement tool for investment climate of warehouse real estate This article is devoted to the study of the information investment platform in the context of the market state of the investment climate and the existing system of its development in the warehouse real estate market. The study analyzes warehouse real estate as a sector of the economy and considers the key components of the investment climate. In addition, the authors outlined the weaknesses of the existing development mechanism. As a result of the study, an updated mechanism of functioning and development of the investment climate of warehouse real estate was formed through the development of an information platform as a tool to improve investment conditions and increase the attractiveness of the industry. 10.57809/2024.3.2.9.7 330.47 investment climate warehouse real estate market analysis development mechanism information platform https://technoeconomics.spbstu.ru/article/2024.9.7/ 7-Babkina.pdf