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  • Драйверы потребительского выбора на маркетплейсах для российского населения: экономия средств и ассортиментное разнообразие
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News
May 25, 2026
HSE Scientists Train Neural Network to 'Hear' Faults in Electric Motors
Researchers at the AI and Digital Science Institute of the HSE Faculty of Computer Science have developed a new method—the Signature-Guided Data Augmentation (SGDA) framework—that achieves 99% accuracy in motor fault detection and 86% accuracy in fault classification. The application of this approach can reduce industrial equipment repair costs, minimise downtime, and improve production safety. The study results have been published in Engineering Applications of Artificial Intelligence.
May 25, 2026
'The Humanities Serve as a Conscience'
Maria Mizernaia studies Soviet literature and the history of book publishing. In this interview for the HSE Young Scientists project, she discusses plans to publish a novel about besieged Leningrad, AI-provoked reflections on what it means to be human, and how novels can help satisfy our dopamine hunger.
May 25, 2026
Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
Is it possible to predict, based on the configuration of streets and buildings, where a café will open or where traffic congestion will occur? Participants in the Spatial Analysis and Modelling of Urban Processes research and study group use open data and machine learning to identify universal patterns. Alexander Sheludkov and Eduard Somov discuss the purpose of comparing cities, the need for new forms of urban statistics, and how open data is transforming approaches to urban studies.

 

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Драйверы потребительского выбора на маркетплейсах для российского населения: экономия средств и ассортиментное разнообразие

Проблемы прогнозирования. 2025. Т. 213. № 6. С. 95–107.
Kuzminov Y., Kruchinskaia E.

In the context of pervasive digitalization, online platforms are becoming an important
element of everyday life – both in terms of frequency of use and the range of reasons for use.
Indeed, online platforms today increasingly act as channels of consumption, simplified through
the intermediary function on the part of the consumer and the seller. At the same time, afforda-
bility and product diversity are not considered in most studies as significant factors in improving
the economic situation of households. This study provides an indirect measure of the contribution
of marketplaces to consumer welfare based on cost savings and product range expansion. Surveys
of the population (N = 3000) and the upper-income group (N = 1000), conducted in 2024 by the
National Research University Higher School of Economics as part of the project “Consumption
and Economic Behavior of Households”, show that the possibility of saving money is a key factor
when choosing a marketplace for the majority of the population. The results of the study show
that marketplaces make a significant contribution to household well-being, either by providing
opportunities for savings or by better satisfying consumer demand. Both of these consumer be-
havior patterns indicate that intermediary consumption platforms are becoming an important
driver of household welfare improvements and, as a result, have an indirect positive impact on GDP.

Research target: Economics and Management Sociology (including Demography and Anthropology Other social sciences
Language: Russian
DOI
Text on another site
Keywords: потребительский выборdigital platformsцифровая платформамаркетплейсmarketplacesconsumer choice factors
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