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News
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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AI Applications in B2B Marketing: the Example of IT Companies Operating in the Banking Sector

P. 1–14.
Serova E., Glukhova P.

The issues of AI applications are widely debated in scientific and business communities. Many businesses are investing in AI, but are disappointed by the insufficient results. Unfortunately, not many companies are yet reaping significant benefits from AI. This research is aimed to extend prior data on the effects of AI tools in the marketing practices of B2B companies operating within the banking sector. It is theoretical and empirical research in equal measure. The study methodology uses mixed model research, including thematic analysis of interviews, allowed for structuring the empirical material into five key themes; and the quantitative analysis, performed using the summated rating method, confirmed the main findings of the qualitative stage and allowed for the generalization of expert judgments across a range of parameters. The research is based on the analysis of large volumes of information, the author’s own experience, and literature review that includes the latest findings in this field.

Language: English
Full text
Text on another site
Keywords: искусственный интеллектбанковский секторbanking sectorB2B маркетингэффективность банковской деятельностиB2B marketingIT companiesartificial intelligence (AI)mixed method research designbanking efficiencymix-метод дизайна исследованияИТ компании

In book

Proceedings of the British Academy of Management Conference BAM 2026. ISBN 978-0-9956413-8-9
L.: British Academy of Management, 2026.
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