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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.
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Is It Possible to Predict a Citys Life Based on the Shape of Its Neighbourhoods?
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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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