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News
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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ВНЕДРЕНИЕ КОРПОРАТИВНЫХ ИНФОРМАЦИОННЫХ СИСТЕМ ДЛЯ ДОСТИЖЕНИЯ СТРАТЕГИЧЕСКИХ ПОКАЗАТЕЛЕЙ ПРОМЫШЛЕННЫХ ПРЕДПРИЯТИЙ

Вестник Южно-Уральского государственного университета. Серия: Компьютерные технологии, управление, радиоэлектроника. 2019. Т. 19. № 2. С. 77–85.
Павлович Т. В.

The article is considered to the issues of increasing labor productivity and the quality of products and services by corporate information systems (CIS) implementation.

The article provides with expediency to develop a system of key performance indicators (KPI) to identify low-efficiency processes. The idea of the best practices analysis to evaluate the effectiveness of the AS IS business process model is also justified.

The target TO BE model should be based on the best practices analysis and on KPIs analysis. KPIs should be calculated by Activity Based Costing (ABC) approach. KPI analysis should take into account the future trend of indicators.

Based on the study, the authors propose to highlight 10 stagers of choosing information systems to achieve strategic objectives of enterprises. Successful CIS implementation means the sustain condition when an enterprise achieves strategic goals. The article provides with the results of these stagers applying in one leading oil and gas company of the Russian Federation.

The article also considers the key reasons for the unsuccessful CIS implementation regarding people site management and presents the general approach to their elimination. The authors highlighted the importance of two-way communication lines creating. These two-way communication lines should connect a project team with leaders and end-users. These lines are necessary to install during the planning of CIS implementation and develop them after the industrial stage too. Sincere people support of automation projects is the key success factor of changes implementation.

Research target: Computer Science Economics and Management
Priority areas: economics management business informatics
Language: Russian
Full text
DOI
Text on another site
Keywords: информационные системыactivity based costingавтоматизация бизнес-процессовфункционально-стоимостной анализinformation systemkey performance indicators (KPI)ключевые показатели эффективности (KPI)
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