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News
June 19, 2026
HSE Researchers Determine Which Internet Users Are More Likely to Fact-Check
Researchers at HSE University examined the strategies employed by Russian internet users to verify unreliable information and the factors that motivate them to do so. The study found that more than half of users who encounter potentially false information online attempt to verify it by locating the original source. The likelihood of fact-checking is influenced by several factors, including age, place of residence, social status, information literacy skills, and the use of AI. The findings have been published in Monitoring of Public Opinion: Economic and Social Changes.
June 5, 2026
'Im Used to Producing Distilled Knowledge'
Ivan Rubachev works in a HSE University laboratory established jointly with Yandex Research, where he focuses on machine learning with tabular data. In this interview with the HSE Young Scientists project, he discusses why following a vibe can be better than goal-setting, explains the concept of the Neural Turing Machine, and argues why withholding scientific knowledge is counterproductive.
June 17, 2026
Population Lifespan Is Governed by Mathematical Laws
Researchers at HSE University and MSU have established a universal law governing the time to extinction of a population in a random environment. Their analysis of the evolution of branching processes—complex probabilistic systems—shows that, regardless of the initial population size, extinction follows strict mathematical laws. The results have been published in the Journal of Applied Probability.

 

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Formalizing company KM portrait: pilot study with evidence from Russia

Measuring Business Excellence. 2018. Vol. 22. No. 3. P. 315–332.
Gavrilova T., Alsufyev Artem, Pleshkova A.

Purpose – The purpose of this paper is to develop the model of knowledge management influence on company performance for further empirical testing of the links between knowledge management practices and processes and organizational performance.

 

Design/methodology/approach – This study establishes a model for comprehensive analysis of knowledge management’s influence on performance and describes the preliminary results gained from the experience of 120 Russian companies. For further testing structural equation modelling and the partial least squares methods are proposed.

 

Findings – The results of the literature review justify the importance of the study conducting this study in the field of knowledge management and its connection to organizational performance in the developing market of Russia. A theoretical model for future empirical testing is provided and methods suggested for further data analysis and interpretation. The preliminary conclusions are discussed.

 

Research limitations/implications – The focus on Russian firms limits the generalizability of the results.

 

The non-response bias is also taken into account for further study.

 

Practical implications – This pilot study outlines the importance of knowledge management practices and processes for firm performance. The preliminary results will be interesting both for researchers and practitioners in the countries with the developing economies. The final results will provide new insights in understanding and formalizing the portrait of a typical Russian company with regards to knowledge management policies.

 

Originality/value – Few studies have been published on the knowledge management process within the Russian context. This study is expected to encourage future studies in this field. The present paper fills an important gap in the extant literature by conceptualizing the model for knowledge management performance analysis and proposes empirical testing of the relationship between knowledge management and firm performance in the context of a developing country that will be presented later as the direction for future study. This study is one of the first ever to study these relationships within the Russian context.

 

Research target: Economics and Management
Priority areas: management
Language: English
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Keywords: knowledge managementorganizational performanceInnovationsfinancial performance
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