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October 14, 2026
At HSE University–St Petersburg, Experts Discuss How AI Changes Tourist Routes and Cultural Heritage
Neural networks are no longer simple travel assistants; now they decide what to include on the route and what to skip. Artificial intelligence changes how people perceive a place and shapes the image of tourist centres. At the II International Scientific and Practical Conference ’Information Technologies in the Preservation and Promotion of Cultural Heritage,’ researchers discussed who controls algorithmic solutions and in what ways, and whether authentic traditions get lost in them.
October 12, 2026
Road Injuries Leading Cause of Death Among Men Aged 10 to 39
Worldwide, road injuries are the leading cause of death among males aged 10–39. An international team of researchers reached this conclusion as part of the Global Burden of Disease Study 2023, analysing data from 204 countries between 1990 and 2023. Their findings have been published in The Lancet Public Health, with HSE University Professor Vasily Vlassov listed among the collaborators.
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.

 

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Category management for the operational resource procurement

Journal of Innovation and Knowledge. 2024. Vol. 9. No. 3. Article 100507.
Elyashevich I., Victor Sergeev, Dybskaya V., Ivanova A.

The introduction of Category Management in operational resources purchasing helps to improve logistics service levels and increase the profitability of industrial enterprises. There are two main purposes of the pro- vided article. The first purpose is to develop a methodological framework for category management of opera- tional resources supply for large industrial enterprises. Secondly, it aims to offer a mechanism for inter- organizational collaboration with suppliers and contractors in supply chains. This study is based on the methods of forecasting of the uncertain stock demand. Time-series and correlation-regression models are used for forecasting. The first finding of the research is the systematization and classification of the opera- tional resources purchased by industrial enterprises. Modified models of operational resources inventory management and a methodology for assessing tied-up losses are offered in this article and, they are based on category management. A developed methodology allows one to make strategic decisions in the field of pro- curement. According to the preliminary estimates, implementation of the proposed approaches increases net profit in large industrial companies by 4−5 % in relative periods.

Research target: Economics and Management
Language: English
Full text
DOI
Keywords: MaintenanceInventory requirement planningLogistics service levelOptimization of purchasing processRepair and operations
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