Введение в ИТ Сервис-менеджмент

Publications

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Введение в ИТ Сервис-менеджмент

M. : 2003.

Leading author: Pototsky M.

Under the general editorship: v. B. Jan

Editor of translation: Pototsky M.

Research target: Economics and Management Computer Science

Priority areas: management business informatics

Language: Russian

VOLATILITY FORECASTING FROM ECONOMETRICS TO ARTIFICIAL INTELLIGENCE: A FOUR-STAGE REVIEW OF THE EVIDENCE PIPELINE FROM FORECAST ACCURACY TO PORTFOLIO PERFORMANCE

Lysenok N., International Journal of Computer Information Systems and Industrial Management Applications 2026 Vol. 18 No. 18s P. 1406–1430

A volatility forecast becomes useful only after it has passed through four stages: a model produces it, a trading rule consumes it, a portfolio aggregates the result, and an investor evaluates that result against a utility function. Each stage has its own mature evaluation apparatus, and each is studied in isolation. This review traces the ...

Added: August 23, 2026

Gender, performance, and prize money: a study of pay discrimination against female teams in eSports

Parshakov P., Humanities and Social Sciences Communications 2026 Vol. 13 No. 1 P. 1–7

This study investigates gender‑based disparities in viewership and prize money within Counter‑Strike: Global Offensive competitions, using data from the ESL Impact League (female‑only) and comparable male leagues. Because esports performance depends chiefly on strategic choices and fine motor skills rather than physical strength, this setting offers a distinctive lens for examining gender equity where bodily ...

Added: August 22, 2026

Пересмотры ВВП: данные и оценка статистических свойств

Астафьева Е.В., Турунцева М. Ю., Экономический журнал Высшей школы экономики 2021 Т. 25 № 1 С. 65–101

В основе принятия своевременных экономико-политических решений и бизнес-планирования лежит мониторинг текущей ситуации и прогнозирование путей развития экономической активности, базу которых составляют официальные статистические оценки значений различных показателей. В этой связи переоценка данных и прогнозы, основанные на более ранних либо поздних оценках, потенциально могут повлечь за собой совершенно различные экономико-политические решения. Согласно официальной методике Росстата, публикуется ...

Added: August 21, 2026

Оценка качества краткосрочных прогнозов некоторых российских экономических показателей (апрель 2009 г. - май 2022 г.)

Астафьева Е., Турунцева М., Научный вестник ИЭП им. Гайдара.ру (электронный журнал) 2022 № 7 С. 32–35

В статье приводятся результаты анализа качественных свойств прогнозов некоторых показателей, ежемесячно публикуемых Институтом экономической политики имени. Е.Т. Гайдара в «Научном вестнике ИЭП им. Гайдара.ру» (далее – «прогнозы ИЭП»). Мы рассматриваем простейшие статистики (MAPE, MAE, RMSE) как прогнозов ИЭП, так и альтернативных прогнозов (наивных, наивных сезонных и прогнозов, построенных с использованием скользящего среднего). Помимо сравнительного анализа на основе ...

Added: August 21, 2026

Оценка качества краткосрочных прогнозов некоторых российских экономических показателей (апрель 2009 г. - май 2021 г.)

Астафьева Е., Турунцева М., Научный вестник ИЭП им. Гайдара.ру (электронный журнал) 2021 № 7 С. 32–35

Added: August 21, 2026

Оценка качества краткосрочных прогнозов некоторых российских экономических показателей (апрель 2009 г. - ноябрь 2020 г.)

Астафьева Е., Турунцева М., Научный вестник ИЭП им. Гайдара.ру (электронный журнал) 2021 № 1 С. 32–35

Added: August 21, 2026

Повышение качества прогнозирования простейшими методами комбинирования отдельных прогнозов

Астафьева Е.В., Турунцева М. Ю., Прикладная эконометрика 2024 Т. 74 № 2 С. 78–103

Комбинирование прогнозов считается наиболее простым способом улучшения каче‑ ства прогнозирования по сравнению с индивидуальными моделями. В данной работе проверяются возможности простейших методов комбинирования, таких как простое среднее и оценки на основе среднеквадратической ошибки прогнозов предыдущих пери‑ одов, для улучшения качественных характеристик краткосрочных прогнозов пяти по‑ казателей цен на ресурсы (нефть и металлы). В основе работы ...

Added: August 21, 2026

Анализ качества методов корректировки и комбинирования прогнозов внешнеторговых показателей

Астафьева Е.В., Турунцева М. Ю., Вестник Евразийской науки 2025 Т. 17 № 6

В работе исследуются возможности использования простых процедур корректировки и объединения прогнозов. Мы оцениваем влияние применения этих процедур (методов простой корректировки, простых и регрессионных методов комбинирования) на качество прогнозов показателей российского экспорта во все страны и импорта из всех стран. В общей сложности мы использовали четыре метода корректировки, 9 методов простого комбинирования и семь регрессионных методов. ...

Added: August 21, 2026

From data to knowledge: artificial intelligence methods for studying comorbidity in electronic health records

Лукьяненко Д. В., Ragimova A., Мухорина А. et al., European Physical Journal: Special Topics 2026 P. 1–24

Electronic health records (EHRs) contain vast volumes of clinical information that encode complex relationships between diseases. Traditional approaches to the analysis of interrelated or co-occurring diseases have focused on pairwise associations between diagnoses, missing the higher-order structures that characterise multimorbid patients. The present paper offers a narrative review of existing statistical, machine-learning, and artificial intelligence ...

Added: August 20, 2026

Proceedings of the Generative Code Intelligence Workshop (GeCoIn 2026), co-located with the 35th International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026)

CEUR-WS.org, 2026.

The second edition of the Generative Code Intelligence Workshop (GeCoIn 2026) was held in conjunction with the 35th International Joint Conference on Artificial Intelligence (IJCAI-ECAI 2026), in Bremen, Germany, August 16, 2026. The workshop arose from the desire to bring together a research community that has, in recent years, witnessed rapid progress in the application ...

Added: August 20, 2026

MM-PSYCHE: Multimodal Multitask Psychological Characteristic Estimation Through Cross-Domain Semi-Supervised Learning

Ryumina E., Aksenov A., Koryakovskaya D. et al., IEEE Access 2026 Vol. 14 P. 124759–124778

Psychological characteristic estimation from multimodal in-the-wild behavior is usually studied using separate corpora, each annotated for a single target task. Such annotation fragmentation limits cross-task learning and cross-domain generalization across affective, dispositional, and interactional phenomena. To address this problem, we use emotion, apparent personality trait, and ambivalence recognition as representative tasks and introduce MM-PSYCHE, a ...

Added: August 20, 2026

Matveeva N., Yudkevich M., Higher Education 2026 P. 1–20

This study draws on neo-institutional theory and the convergence/divergence debate in higher education research to examine whether public and private universities in EU candidate countries converge or diverge in their research activity and collaboration patterns. We analyse Scopus-indexed publication data for 43 universities across Albania, Bosnia and Herzegovina, Georgia, North Macedonia and Serbia for the ...

Added: August 19, 2026

Финансирование проектов «Пояс и Путь» и «Север Юг»: сравнительный анализ

Biryukova O. V., Barzunov D., Pautov A., Проблемы Дальнего Востока 2026 № 4

The formation of new transcontinental transport arteries intensifies geoeconomic competition in Eurasia and requires the development of sustainable models of investment cooperation. The Chinese Belt and Road Initiative and the International North—South Transport Corridor represent distinct institutional concepts for infrastructure financing, differing in their sources of capital, degree of centralization, and mechanisms of risk allocation. ...

Added: August 19, 2026

Proceedings of the 1st Workshop on Linguistic Analysis for Health (HeaLing 2026)

Association for Computational Linguistics, 2026.

19th Conference of the European Chapter of the Association for Computational Linguistics, Workshop on Linguistic Analysis for Health (2026) ...

Added: August 19, 2026

Hypergraphs from multivariate connectivity: caCOH-based EEG/MEG representation

Vlasenko D., Saranskaia I., Zakharov D., European Physical Journal: Special Topics 2026 P. 1–16

Hypergraphs provide a natural framework for representing neurophysiological interactions distributed across sets of sensors. A key methodological question is how hyperedges should be defined from frequency-resolved electroencephalography/magnetoencephalography (EEG/MEG) data. We demonstrate a construction strategy in which hyperedges are obtained from canonical coherence (caCOH), an extension of coherence that estimates coupling between multidimensional signal spaces. To ...

Added: August 18, 2026

La universidad de quinta generación Un paradigma centrado en la persona

Gaete Sepulveda M. A., Navarra: Eunsa, 2026.

Toward the Fifth-Generation University (5GU) is a work that proposes a transformative governance framework for institutions of higher education, capable of addressing the challenges of sustainability, digital reflexivity, and co-creation with multiple stakeholders. Drawing on a historical overview from University 1.0—focused on the preservation of knowledge—to University 5.0, the text presents a model centered on ...

Added: August 18, 2026

Which Model Families Pay? Econometric, Gradient Boosting and Recurrent Neural Network Volatility Forecasts in Active Trading Strategies on the Russian Stock Market

Lysenok N., International Journal of Computer Information Systems and Industrial Management Applications 2026 Vol. 18 No. 17s P. 533–549

This paper asks which families of volatility forecasting models create economic value in active trading, and through which integration channel that value is transmitted. Seven models drawn from four families — econometric (GJR-GARCH, HAR-J), gradient boosting (XGBoost, LightGBM), recurrent neural networks (LSTM, GRU) and a hybrid combining HAR-J with boosting — are compared on the ...

Added: August 18, 2026

Defining the Right Level of Risk in Organizational Innovation:Factors, Criteria, and Strategic Balance

Alena Bernyukevich, / Series WP BRP "Basic research program". 2025.

This essay explores the complex issue of determining the appropriate level of risk when implementing innovations within organizations. While innovation is widely recognized as a cornerstone of competitiveness, growth, and sustainability, excessive or poorly managed risk can lead to significant challenges. The discussion highlights key factors influencing acceptable risk levels, including alignment with corporate goals, ...

Added: August 17, 2026

Assessing the impact of economic sanctions on the socio-economic development of a sanctioned country -testing a new research approach using the data on the socio-economic development of Russia in 2022-2025

Gurkov I. B., Kossov V. V., Filinov N. et al., / NRU Higher School of Economics. Series MAN "Management". 2026. No. N/A.

This research note is devoted to assessing the socioeconomic impact of sanctions of sanctioned countries and uses the data on Russia in 2022-2024. We use for the analysis four fundamental socioeconomic parameters-the expected length of life of males at birth, the misery index (Okun's index), the level of Gross Domestic Product at purchasing parity prices, ...

Added: June 11, 2026

Being Innovative or Being on the Safe Side - Managing the Risk of Failure

Meissner D., Salati Marcondes de Moraes G. H., Brandão Fischer B. et al., / NRU Higher School of Economics. Series WP BRP "Science, Technology and Innovation". 2025. No. WP BRP /STI/2025.

Innovation has long been at the center of debates in economics, management, and organizational studies. However, innovation is never free of uncertainty and risk. Every act of innovation implies a departure from established paths and a willingness to embrace the unknown. From the beginning it's never clear if there is an audience which appreciates the ...

Added: November 28, 2025

Enabling the ‘Education Revolution’ through the Sustainability Mindset Principles

Cripps K., Ivanova E., Sridaran K. et al., / Series 0 "0". 2024.

Imagine a world where individuals are considering the impact on the long term of the decisions they are making. Where, as they analyze information, they wonder who are the stakeholders impacted – extending beyond the traditional ones to include Nature, the ecosystem as a stakeholder, and the next generations. Imagine young people reminding each other ...

Added: November 5, 2025

Оценка моделей LLM по степени готовности решать задачи управления в области ESG

Storchevoy M., Mylnikov L., Чернышев В. В. et al., / SSRN. Серия "Working Papers". 2025.

Внимание к охране природы принимает все большую значимость для бизнеса с одной стороны в связи с ужесточением в природоохранном законодательстве, а с другой в связи с использованием ESG рейтингов при принятии решений о коммерческой деятельности компаний. Составление рейтинга LLM систем, способных оказывать консультационные услуги в области природоохраны и ESG, позволяет осуществить выбор такой системы для ...

Added: September 18, 2025

Causal Estimands for Policy Evaluation and Beyond

Sokolov B., / Series OSF "SocArXiv". 2025.

This paper reviews various estimands used in modern scientific and applied research to operationalize causal inquiries within the Rubin Causal Model framework. I first introduce the most widely utilized average treatment effects, such as ATE, ATT, and ATC. I then describe their popular extensions, including those targeting local and conditional treatment effects; causal interactions and mediation; effects ...

Added: May 6, 2025

Cultural characteristics of Digital Ecosystem Product Teams and Operational Efficiency

Ovanesova Y., Moshiashvili M. M., Типсина Н. О., / Series "Working Papers". 2021.

The purpose of this article is to analyze and evaluate the cultural characteristics of the digital ecosystem product teams leaders and operational efficiency. Using binary choice models (the main conclusions were made on the basis of logit regressions), has been found a significant negative relationship between the probability of achieving business goals by a team ...

Added: February 17, 2025