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August 13, 2026
‘Working with AI Solves a Wide Range of Engineering Problems
Artificial intelligence is a working tool based on a balanced combination of algorithms and engineering. Experts and doctoral students from the HSE Moscow Institute of Electronics and Mathematics explain how AI technologies can improve an application, device, or system, and what engineering tasks are solved in the process.
August 12, 2026
‘I Would Like My Research to Help Make the World a Calmer and Better Place
Whatever task Saraa Ali, Junior Research Fellow at the Laboratory of Methods for Big Data Analysis (LAMBDA) of the AI and Digital Science Institute (HSE Faculty of Computer Science), is working on, she thinks about how it can benefit people. She told the Young Scientists of HSE University project about her large family, diagnosing three-phase motors, and her dream of building a children’s home in her native country.
August 11, 2026
‘The Peak of Stupidity and ‘The Valley of Despair: HSE Economists Propose an Explanation for the Dunning–Kruger Effect
The Dunning–Kruger effect, which describes a sharp surge in self-confidence among beginners followed by an equally rapid decline as they gain experience, can be explained by the nature of the learning process and the acquisition of new knowledge. This conclusion was reached by Andrey Vorchik of the HSE Faculty of Economic Sciences together with independent researcher Murat Mamyshev. They developed a mathematical model of learning and demonstrated how subjective confidence is formed and changes as knowledge accumulates, as well as how teachers can reduce the ‘valley of despair’ experienced by learners.

 

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Influence of Cultural Factors on Organizational Performance of Multinational Corporations: A Bibliometric Review from 1983 to 2020

Qeios. 2024.
Wang F., Barajas A.

Cultural factors are critical in shaping the organizational performance of multinational corporations (MNCs) operating across diverse countries and cultures. This study conducts a comprehensive bibliometric analysis to explore scientific developments in this research area from 1983 to 2020, based on 856 documents published across 195 journals indexed in the Web of Science. The analysis provides insights into (i) productivity and performance trends within the field, (ii) the most influential countries, regions, journals, authors, and citations, and (iii) frequently occurring keywords that highlight future research directions. This study captures the historical evolution of research on cultural factors, providing a valuable baseline for understanding the pre-COVID-19 context and enabling MNCs to better navigate cross-cultural communication and collaboration in an increasingly complex global environment.

Research target: Economics and Management Social Sciences
Language: English
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DOI
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Keywords: международный бизнескультурные факторыsystematic literature reviewcultural factorsсистематический обзор литературы International businessBibliographic StudyMultinational Corporations (MNCs)Web of Science (WoS)Библиографическое исследованиеТранснациональные корпорации (ТНК)Web of Science (WoS)Pre-COVID-19Пре-COVID-19
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