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Subject
News
September 11, 2026
How to Assess Students Knowledge in the Age of AI
A researcher at HSE University has proposed a flowchart to help lecturers decide how to assess students who use artificial intelligence. It shows where the use of AI should be restricted and where it can be incorporated into the learning process. The article has been published in IT Professional.
September 9, 2026
‘Balkan Hospitality Opens Doors: Studying Dialects on the Verge of Extinction
You cannot study spoken dialects from books. Instead, you need to go to a village, seek out its elders, and earn the trust of local residents before you can record hours of spontaneous stories. This is how Natalia Muravleva, Associate Professor at the Faculty of Humanities, conducts her research. Her internship in Serbia continued her long-standing study of dialects spoken by Macedonian settlers. In this interview, she discusses how diaspora cultural centres help researchers reach informants, why native speakers need to be interviewed only in their own language (otherwise, as she puts it, they may 'break'), and how a single field season helped her finalise her monograph. She also shares warm memories of autumn in Belgrade and of colleagues with whom grammar can be discussed in three languages at once.
September 9, 2026
Scientists Train Neural Network to Generate Process Plans from 3D Models
Researchers at the HSE FCS AI and Digital Science Institute have developed CAD2TechSpec, a framework that converts 3D models of mechanical parts into machining process plans—step-by-step instructions for machine tools. The solution aims to reduce the time required for the design and preparation of technical process documentation in mechanical engineering, aircraft manufacturing, and other high-tech industries. The study findings have been published in PeerJ Computer Science.

 

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Сравнительная эффективность высокотехнологичных и среднетехнологичных бизнес-моделей: ключевые индикаторы и устойчивость ценности

Управленец. 2020. Т. 11. № 3. С. 59–71.
Evseeva M.

Due to the external environment being unpredictable and dynamic, the business model becomes obsolete in a short time and its logic loses effectiveness. This seriously threatens business continuity and affects income flows. The paper develops indicators for assessing the effectiveness of business models. Methodologically, the study rests on the stakeholder theory, valuebased management and technological growth theory. The work uses mathematical methods for calculating financial and economic indicators, as well as a general scientific method of analysis. To test the metod, we examine 188 companies operating in the high-tech and medium-tech industry markets. Having systematized the theoretical positions, we conclude that the evaluation of business model effectiveness should be based on measuring the sustainability of the value created for various groups of the company stakeholders. This allowed us to propose a set of indicators of business model effectiveness built on yield spread and factor productivity. The program of empirical evaluation also included an indicator of the value of intellectual capital, computed on the basis of the company’s profitability deviation from the market norm. The author supposes that, by producing intellectual and relational rents, intangible capital helps increase the effectiveness of the business model, which is reflected in all sustainability indicators. The research results prove the analytical value to be satisfactory. In total, the high-tech market business models are more efficient. The distribution of performance indicators met the assumptions about the impact of a fragmented environment: a more homogeneous industry environment is instrumental in aligning business model performance. The findings of the study are of practical importance for business and contribute to the construction of a control system based on business model effectiveness management.

Research target: Economics and Management
Language: Russian
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Keywords: ценностьустойчивостьvalueбизнес-модельстейкхолдерыsustainabilitystakeholdersperformance indicatorsbusiness modelbusiness model performancehigh-tech business modelиндикатор эффективностивысокотехнологичная бизнес-модельэффективность бизнес-модели
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