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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
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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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Business model transformation: what is known and what is to be further developed?

International Journal of Emerging Markets. 2025. Vol. 20. No. 4. P. 1373–1392.
Selezneva A., Veselova A., Anand A.

Purpose

The paper presents a systematic literature review on business model transformation (BMT). The aim of the study is to determine the main research streams in BMT literature, develop a conceptual model on BMT research, and identify potential directions for future research.

Design/methodology/approach

WeThe authors use systematic literature review approach and provide a detailed protocol to meet reliability requirements. The study is based on the multi-layer in-depth analysis of 92 articles published in leading international journal in general management, international business, strategy, innovation, and organization studies.

Findings

The paper identifies a crucial importance of further research on BMT with regards to the context specificity of a company's country of origin, transformation of value delivery and value capture blocks of BMs, entrepreneurial techniques of BMT management, and international aspects of BMT.

Originality/value

By a means of systematic literature review, the paper envisages the current state of knowledge about BMT, traces the development of BMT research, classifies it, and identifies potential directions for future inquiries.

Research target: Economics and Management
Language: English
DOI
Text on another site
Keywords: value creationbusiness model innovationLiterature review business modelbusiness model transformation
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