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September 25, 2026
AI Users Earn Up to 41.8% More Than Non-Users
Research conducted by economists at HSE University has revealed a significant correlation between the regular use of GenAI in the workplace and higher pay among Russian employees. The study found that individuals who frequently use GenAI in their professional activities earn notably more than those who reject these new tools or resort to them occasionally. The salary premium for highly qualified specialists reaches 41.8%. The article was published in the Voprosy Ekonomiki journal.
September 24, 2026
‘Feedback and Constructive Criticism Are Essential in Our Profession
Vincent Fardeau, Associate Professor at HSE ICEF, has reached a major career milestone: he recently published his paper ‘Asymmetric Thin Markets’ in the Journal of Financial Economics, successfully passed his major academic review, and received tenure. In this interview, Vincent discusses the story behind the paper, explains the concept of asymmetric thin markets, and shares his advice for young scholars aiming to publish in top-tier journals.
September 22, 2026
Personal Interest in Doctoral Thesis Topic Most Important for Confidence in Successful Defence
A researcher at HSE University analysed data on 1,539 doctoral students from 161 Russian universities to identify which features of a thesis topic are associated with academic success and engagement. The most important factor was found to be personal interest in the research topic, which was associated with almost all key aspects of doctoral programme experience—from engaging with the academic supervisor to research activity and confidence about successfully defending the thesis. The findings have been published in Higher Education.

 

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Автоматизация процесса принятия решений с использованием BI-инструментов

Известия Санкт-Петербургского государственного электротехнического университета ЛЭТИ. 2021. № 10. С. 76–85.
Саляхова Д. Р., Panfilov P., Горшков Г. С.

The paper is devoted to the development of methods and tools for automating the decision process using BI tools at various stages of management. The stages of the decision process and business analytics are analyzed and an architectural solution for integrating these processes into a flexible methodology is proposed, practical business cases for implementing this architecture in various business segments with their own specifics of data and information systems are worked out. The paper consists of 3 parts. The first section discusses the basics of the management decision process, highlights the main stages of this process, as well as the possibilities of its automation. The second section describes in detail the business intelligence tools in the context of the business analysis stages, as well as the indicators used. The last section provides a practical example – a business case of a telecommunications company – the application of the proposed architecture to support the decision-making process using the described tools and methods.

Research target: Engineering and Technology Computer Science Economics and Management
Language: Russian
Text on another site
Keywords: бизнес-аналитикабизнес-интеллектbusiness intelligenceпроцесс принятия решений decision-making processbusiness analyticsautomation techniquesметоды автоматизации
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