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News
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.
June 16, 2026
Taking Stock Without Euphemisms: Experts Propose Solutions for Russias Foreign and Defence Policy
The recent 34th Assembly of the Council on Foreign and Defence Policy (SVOP) presented analytical approaches to emerging global challenges and developed practical recommendations in the context of a transforming world order. Experts from HSE University took an active part in the sessions and closed briefings.

 

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Industry-specific effects of IT systems: uncovering the winners and losers

Eurasian Business Review. 2026. Vol. 16. P. 95–122.
Ivanov E., Molodchik M.

This study investigates the industry-specific effects of IT system adoption on company productivity, emphasizing how different industry conditions shape IT-driven performance. Using hierarchical linear modeling on a dataset of 1,500 companies from 12 industries over the period 2008–2021, we analyze the impact of Enterprise Resource Planning (ERP) and Business Process Management (BPM) systems. Our findings confirm that both ERP and BPM systems generally enhance productivity, but their effectiveness varies across industries depending on the interplay of dynamism, complexity, and munificence. By decomposing the overall performance effects into industry-specific outcomes, we reveal substantial heterogeneity, with some industries capturing greater IT benefits than others. These results underscore the importance of industry context in digital transformation and provide new insights into how firms can align IT investments with their competitive environments to maximize performance gains.

Research target: Economics and Management
Language: English
DOI
Keywords: productivityпроизводительностьBPMERPERPIT systemBPMмногоуровневый анализmultilevel analysisindustry effectsИТ системыОтраслевые эффекты
Publication based on the results of:
Strategic behavior of companies and individuals under conditions of technological transformation in Russia (2025)
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