ITSM и бизнес

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ITSM и бизнес

Открытые системы. СУБД. 2013. № 5. С. 32–35.

Skripkin K.

Today, ITSM is one of the de facto standards of IT management and its importance is undisputable. Meanwhile only a limited number of ITSM processes is implemented and this state of affairs persists in Russia for more than 10 years. There are fundamental reasons, not just lack of maturity of the users. What are these reasons and how to evaluate the necessity of ITSM processes at the preparation stage of the project?

Research target: Computer Science Economics and Management

Priority areas: economics business informatics

Language: Russian

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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

Institutions, Normative Expectations, and Harassment Bribery: Evidence from a Three-country Experiment

Zhuravleva T., Afanasev K., Engelmann J. et al., / Series "SSRN Working Paper Series". 2026.

Extortionary ("harassment") bribery can persist even when widely condemned, consistent with a coordination problem sustained by beliefs about what others do and what others consider acceptable. We study whether a minimal institutional featurethe presence of a third-party monitor empowered to punish-shifts (i) normative expectations about extortion and compliance and (ii) empirical expectations about their prevalence. ...

Added: July 22, 2026

Разработка и валидизация шкалы увлеченности профессией

Ivanova A., Manina V., Новые психологические исследования 2026 № 1 С. 100–122

The article is devoted to the development and validation of the “Passion for the Profession” scale for higher education students. The relevance of the study is determined by the importance of fostering a positive attitude toward one’s future profession during the stage of professional development, as this influences academic achievement, career trajectories, and students’ psychological ...

Added: June 29, 2026

Cyclical Fluctuations, Financial Frictions, and Productivity Differences across Firms

Mishin A., Guerrieri L., Kim J., / Series 2026-042 "Finance and Economics Discussion Series (FEDS)". 2026.

Within narrowly defined industries, the most productive firms produce far more than the least productive from the same inputs, and this dispersion widens in downturns. We build a tractable representative-agent model in which financial frictions—adverse selection and moral hazard—make firms sort endogenously into lenders, strategic defaulters, and producers. As credit conditions vary, the resulting misallocation ...

Added: June 28, 2026

Устойчивость на текучей основе: долгосрочная устойчивая цена на нефть

Власов С. А., Nevalennyi M., Сафиулин Р. Р. et al., / Банк России. Серия Аналитическая записка "Материалы Банка России". 2026.

В аналитической записке обсуждается долгосрочно устойчивый уровень цены на российскую нефть. Это тот уровень, к которому цена нефти, вероятнее всего, будет тяготеть в долгосрочной перспективе. Потребность в его определении возникает по нескольким причинам. Во-первых, цена на нефть остается одним из ключевых экономических показателей российской экономики, определяющих экспорт, обменный курс рубля, прибыль, доходы и расходы бюджета, ...

Added: June 27, 2026

Учебная модель малой открытой экономики для анализа денежно-кредитной политики (с примерами из практики Банка России

Глазова А. М., Nevalennyi M., Синяков А. А., / Банк России. Серия Препринты Банка России "Серия докладов об экономических исследованиях". 2025. № 154.

The paper proposes a graphical model of a small open economy. The dynamics of the graphical model is then illustrated using impulse responses from the corresponding formal semi-structural model (QPM model). The authors have several goals in preparing this description of the graphical macroeconomic model. The first goal of the paper is to present an adapted ...

Added: June 27, 2026

A Static Capital Buffer is Hard To Beat

Mishin A., Guerrieri L., Canzoneri M. et al., / Series 2026-042 "Finance and Economics Discussion Series (FEDS)". 2026.

Added: June 27, 2026

Hybrid Competition under Fragmented Demand and Limited Consumer Choice

Bogatyrev R., Sandomirskaia M., / NRU Higher School of Economics. Series EC "Economics". 2026. No. 19(1).

This work develops a tractable model of price competition in fragmented markets where consumers consider both local and distant varieties, with cross-regional purchases subject to stochastic costs. Global competition and full localization emerge as polar cases; hybrid competition is not merely intermediate and exhibits distinctive features such as an endogenous price ceiling and non-monotonic entry ...

Added: June 11, 2026