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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
‘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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Dynamics and Constraints of the Start-Up Legitimation Process: The Role Of Organizational Identification

Journal of Developmental Entrepreneurship. 2024. Vol. 29. No. 1. Article 2450001.
Emilia Karpinskaia, Shirokova G., Manolova T.

From inception, start-ups are torn between two opposing legitimacy pressures: the need to differen-tiate from competitors and the need to conform to stakeholders’ expectations. In this study, we adopt an  organizational  identification  perspective,  coupled  with  a  legitimacy-seeking  lens,  to  explore  the  start-up  legitimation  progress  for  entrepreneurs  who  identify  with  their  ventures  either  intrinsically  or instrumentally. Applying a longitudinal multi-case study design and using rich interview data, we track  the  decisions  and  actions  of  ten  Russian  high-tech  start-ups  over  a  twenty-month  period.  Our  findings reveal that start-up legitimation is a dynamic process guided by the organizational identifica-tion of the founders and bounded by identity tensions. The study extends the literature on new venture legitimation and its constraints. Theoretical and practitioner implications are discussed.

Research target: Economics and Management
Language: English
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DOI
Text on another site
Keywords: organizational identificationCase-studystart-up legitimationoptimal distinctiveness
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