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News
July 9, 2026
HSE Economists Use Search Queries to Forecast Birth Rates
Researchers from the HSE Faculty of Economic Sciences have shown that the accuracy of birth rate forecasts for Russia can be improved by almost 50% by incorporating the dynamics of online search queries related to pregnancy and childbirth into forecasting models. In the best-performing models, the forecasting error fell from 4.6% to 3.2%. The findings have been published in Populations and Economics.
July 8, 2026
HSE Researchers Discover Who Eats Out in Russia-And Why
Around one-third of Russians (31.3%) rarely eat out or buy ready-made meals. The core group of active consumers—those who eat out or purchase prepared food almost every day or several times a week—accounts for only about 9% of the population. These are the findings of a study conducted by the HSE Institute for Social Policy. According to the researchers eating out is no longer a marker of high social status in Russia.
July 8, 2026
HSE University and RREDA Join Forces to Support 2026 Renewable Energy of the Planet Competition
HSE University and the Russia Renewable Energy Development Association (RREDA) have signed a partnership and information cooperation agreement to support Renewable Energy of the Planet—2026, a national competition with international participation for students and early-career researchers. Applications are open on the competition's website until September 20, 2026.

 

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Разработка ключевых показателей эффективности для оценки транспортных услуг

Логистика и управление цепями поставок. 2018. № 5(88). С. 46–52.
Bazhina D., Koroleva E.

The analysis of scientific works devoted to the formation of Key Performance Indicators (KPI) of transport services shows that the long-term path includes the consolidation of a number of basic (key) indicators, the definition of auxiliary indicators, as well as the definition of the company's place among competitors. It is possible to form the appropriate set of models for the calculation of following basic indicators. Productivity (for example, hourly productivity); time parameters (transport time, time for paperwork, time for loading and unloading, etc.); transportation costs (cost of transportation, loading and unloading, storage costs, return flow, etc.); reliability (probability of failure, sustainability of the process and time parameters). We are proposing the original two-level structure of a transport company performance indicators and the model for calculating KPI for assessment of various transport types, that can be used as a basis for development of software contributing to digitalization of transport services.

Priority areas: management
Language: Russian
Full text
Keywords: транспортировканадежностьproductivityпроизводительностьтранспортные услугиtransport servicestransportations Reliabilityclassification of performance indicatorscost calculation modelsклассификация показателей эффективностимодели расчета затрат
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