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  • АНАЛИЗ ДЕТЕРМИНАНТ ПОТРЕБИТЕЛЬСКОГО ПОВЕДЕНИЯ НА ОСНОВЕ ПСИХОЛОГО-ЭКОНОМИЧЕСКИХ МОДЕЛЕЙ
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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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АНАЛИЗ ДЕТЕРМИНАНТ ПОТРЕБИТЕЛЬСКОГО ПОВЕДЕНИЯ НА ОСНОВЕ ПСИХОЛОГО-ЭКОНОМИЧЕСКИХ МОДЕЛЕЙ

Институт психологии Российской академии наук. Социальная и экономическая психология. 2025. Т. 10. № 1. Статья 37.
Урсул В. В.

In the scientific literature on economic behavior, most determinants of consumption (including those presented in the form of models) describe consumption adapted to the characteristics of various markets for goods and services. The fragmentation of data on the general premises of consumer behavior in research leads to an incomplete understanding of the main characteristics of the consumption phenomenon. This narrows the possibility of applying the results of such studies in practice to the marketing of other products (other than those tested in studies), and also causes difficulties in generalizing the materials of consumption studies without specialization on the conditions of a certain market. The purpose of this study is to analyze the main determinants of consumption proposed within patterns of consumer behavior. Analysis of data from psychological and economic sources made it possible to obtain a comprehensive view of the key components of consumer behavior, clearly define dependent and independent variables, analyze the phenomenon of "consumption" systematically and universally through comparison and analysis of the main components of the models. Based on the results of the review, groups of consumption factors (predictors, mediators and moderators of the consumption process) were identified: psychological, cognitive, socio-demographic, economic, external. In addition, the main variables by which consumer behavior is assessed were highlighted, namely: actual consumption, psychological readiness for consumption, as well as marketing and post-sale criteria for assessing consumer experience. The results of the review can be used for a new systematic study of consumer behavior, as well as inspire research on the relevance of the predictors presented in the literature in the context of rapid variability in the consumption process.

Research target: Psychology
Language: Russian
DOI
Text on another site
Keywords: экономическое поведениеeconomic behaviorпотребительское поведение consumer behaviorмодель потребительского поведенияconsumption model
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