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August 25, 2026
Scientists Develop Algorithm for More Reliable Processors in Data Centres
Researchers from HSE MIEM and Samara University have developed the LRF-3D algorithm to automatically bypass idle nodes in three-dimensional networks-on-chip. Thanks to its hierarchical architecture, the algorithm outperforms existing solutions in both speed and path accuracy, improving processor reliability for use in data centres, supercomputers, and AI computing. The source code and test results are publicly available.
August 24, 2026
Researchers Develop Method for Direct Generation of Regulatory DNA
Researchers at HSE University have developed a model for generating promoters and enhancers—DNA sequences that regulate gene activity. The model works directly with DNA nucleotides, without first transforming them into a continuous numerical representation. This solution could be useful for applications in synthetic biology and gene therapy. The study results were presented at the ICLR 2026 Workshop ‘Generative AI in Genomics (Gen^2): Barriers and Frontiers.’
August 21, 2026
Social Integration: At the Crossroads of Knowledge and Values
The International Laboratory for Social Integration Research (ILSIR) at HSE University studies the challenges faced by vulnerable groups and explores ways to help them participate fully in everyday life. To develop effective solutions, the laboratory’s researchers combine cutting-edge methods with practical fieldwork. In this interview with the HSE News Service, Laboratory Head Elena Iarskaia-Smirnova discusses the laboratory’s work.

 

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Business model innovation and SME performance and performance variability: The role of CEO persistence

Journal of Small Business Management. 2025. Vol. 63. No. 5. P. 2386–2421.
Shirokova G., Arsenii Bystrov, Valeria Vlasova, Morris M.

To achieve and maintain a competitive advantage, small and medium-sized enterprises (SMEs) are forced to constantly reconfigure their business models. This study aims to broaden the understanding of the role business model innovation (BMI) plays in shaping SMEs’ business outcomes and how the strength of this relationship is affected by persistence of a chief executive officer (CEO). Drawing upon the dynamic capabilities perspective and upper echelons theory (UET), we argue that BMI improves mean firm performance. However, as BMI can represent a risky endeavor, it also increases the variability of performance outcomes, making them less reliable. At the same time, it is hypothesized that CEO persistence strengthens the BMI–performance link and weakens the relationship between BMI and performance variability. Employing the multiplicative heteroscedasticity regression model on a sample of 314 Russian SMEs, we find full support for the proposed theoretical model, contributing to the growing body of literature on BMI and providing practical value for stakeholders involved in the examined relationship.

Research target: Economics and Management
Language: English
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Keywords: business model innovationfirm performance small and medium-sized enterprisesCEO persistencefirm performance variability
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