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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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A knowledge-based view of team performance resilience: evidence from esports

Journal of Knowledge Management. 2026.
Parshakov P., Naidenova I. N., Molodchik M., Shvaya Timofey
In press

Purpose
This study aims to develop a knowledge-based perspective on team performance resilience by conceptualizing it as a capability rooted in the structure, integration, and reconfiguration of knowledge.

Methodology
The study employs a quantitative empirical design using data from professional esports teams competing in Counter-Strike: Global Offensive (CS:GO). Exogenous shocks are captured through changes in the competitive map pool, providing a quasi-experimental setting. Team resilience is measured as the ratio of post-shock to pre-shock performance and the speed of recovery. Key knowledge-related variables are operationalized using team-level metrics, and their associations with resilience outcomes are estimated using regression models.

Findings
The results show that knowledge specialization has an inverted U-shaped relationship with team performance resilience, indicating an optimal balance between efficiency and adaptability. Knowledge integration efficiency, proxied by language similarity, is positively associated with resilience, while age diversity is not statistically significant. Knowledge reconfiguration through team turnover is also positively associated with resilience, whereas accumulated team experience is negatively associated with it, consistent with the possibility of knowledge rigidity. Additionally, post-shock experience and exposure to stronger competitors are associated with recovery and adaptation.

Originality
The originality of this study lies in advancing a knowledge-based perspective on team performance resilience by highlighting three interrelated knowledge tensions: specialization versus diversification, similarity versus diversity, and accumulation versus renewal. Empirical evidence from the unique context of professional esports, characterized by objective performance measures and exogenous shocks, provides insights that are transferable to other knowledge intensive teams operating in dynamic and uncertain environments.

Research target: Economics and Management
Language: English
Full text
DOI
Text on another site
Keywords: «знаниевый» подходknowledge-based vieweSportsкиберспортExogenous shocksэкзогенные шокиteam resilienceknowledge specializationустойчивость командыспециализация знаний
Publication based on the results of:
Strategic behavior of companies and individuals under conditions of technological transformation in Russia (2025)
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