• A
  • A
  • A
  • АБВ
  • АБВ
  • АБВ
  • A
  • A
  • A
  • A
  • A
Обычная версия сайта
  • RU
  • EN
  • HSE University
  • Publications
  • Articles
  • Conflicting impacts of shadow AI usage on knowledge leakage in metaverse-based business models: A Yin-Yang paradox framing
  • RU
  • EN
Расширенный поиск
Высшая школа экономики
Национальный исследовательский университет
Priority areas
  • business informatics
  • economics
  • engineering science
  • humanitarian
  • IT and mathematics
  • law
  • management
  • mathematics
  • sociology
  • state and public administration
by year
  • 2027
  • 2026
  • 2025
  • 2024
  • 2023
  • 2022
  • 2021
  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2014
  • 2013
  • 2012
  • 2011
  • 2010
  • 2009
  • 2008
  • 2007
  • 2006
  • 2005
  • 2004
  • 2003
  • 2002
  • 2001
  • 2000
  • 1999
  • 1998
  • 1997
  • 1996
  • 1995
  • 1994
  • 1993
  • 1992
  • 1991
  • 1990
  • 1989
  • 1988
  • 1987
  • 1986
  • 1985
  • 1984
  • 1983
  • 1982
  • 1981
  • 1980
  • 1979
  • 1978
  • 1977
  • 1976
  • 1975
  • 1974
  • 1973
  • 1972
  • 1971
  • 1970
  • 1969
  • 1968
  • 1967
  • 1966
  • 1965
  • 1964
  • 1963
  • 1958
  • More
Subject
News
May 18, 2026
The 'Second Shift' Is Not Why Women Avoid News
Women are more likely than men to avoid political and economic news, but the reasons for this behaviour are linked less to structural inequality or family-related stress than to personal attitudes and the emotional perception of news content. This conclusion was reached by HSE researchers after analysing data from a large-scale survey of more than 10,000 residents across 61 regions of Russia. The study findings have been published in Woman in Russian Society.
May 15, 2026
Preserving Rationality in a Period of Turbulence
The HSE International Laboratory for Logic, Linguistics and Formal Philosophy studies logic and rationality in a transformed world characterised by a diversity of logical systems and rational agents. The laboratory supports and develops academic ties with Russian and international partners. The HSE News Service spoke with the head of the laboratory, Prof. Elena Dragalina-Chernaya, about its work.
May 15, 2026
‘All My Time Is Devoted to My Dissertation
Ilya Venediktov graduated from the Master’s programme at the HSE Tikhonov Moscow Institute of Electronics and Mathematics through the combined Master’s–PhD track and is currently studying at the HSE Doctoral School of Engineering Sciences. At present, he is undertaking a long-term research internship at the University of Science and Technology of China in Hefei, where he is preparing his dissertation. In this interview, he explains how an internship differs from an academic mobility programme, discusses his research topic, and describes the daily life of a Russian doctoral student in China.

 

Have you spotted a typo?
Highlight it, click Ctrl+Enter and send us a message. Thank you for your help!

Publications
  • Books
  • Articles
  • Chapters of books
  • Working papers
  • Report a publication
  • Research at HSE

?

Conflicting impacts of shadow AI usage on knowledge leakage in metaverse-based business models: A Yin-Yang paradox framing

Technology in Society. 2025. Vol. 81. P. 1–9.
Chin T., Li Q., Mirone F., Papa A.

The accelerated evolution of artificial intelligence (AI) technology enables firms to create metaverse-based business models (MBMs) where the use of shadow AI is prevalent. However, employees' use of shadow AI not only provides benefits but also poses risks concerning organizational knowledge leakage (OKL). How to properly manage the usage of shadow AI has become a critically important yet under-researched issue for firms within MBMs. To fill this gap, this paper considers the paradoxical nature of shadow AI usage and thereby adopts a Yin-Yang dialectical frame to investigate the conflicting mechanisms between shadow AI usage and OKL and their impacts on the sustainability of MBMs. Using a questionnaire survey method, we gathered from enterprises within metaverse-related businesses in China and employed moderated hierarchical regression and bootstrap analysis to test the hypotheses. Results show that there existed an inverted U-shaped relationship between shadow AI usage and OKL and a negative link between shadow AI usage and the sustainability of MBMs. We also examined the mediating role of OKL and the moderating role of AI knowledge-oriented human resource management practices. Theoretically, this article conducts an unorthodox Yin-Yang paradox frame to address the dynamic tensions among shadow AI usage, OKL, and the sustainability of MBMs, enriching the theoretical underpinning of cross-disciplinary research at the intersection of technological change, knowledge management, and business sustainability. Practically, our findings allow practitioners and policymakers to gain a better understanding of the paradoxical interplay between employees' unethical behavior toward AI usage and its consequences. This indicates the unconventional yet crucial challenges facing firms within MBMs in the process of fulfilling the United Nation's Sustainable Development Goals.

Research target: Economics and Management
Language: English
Full text
DOI
Text on another site
Keywords: paradox artificial intelligenceKnowledge leakageMetaverse-based business models (MBMs)Yin-Yang
Publication based on the results of:
National innovation system 2.0: involving key actors in transformation processes (2025)
Similar publications
Impact of the crises on household consumption patterns: An analysis of Russian regions
Voytenkov V., Emerging Markets Review 2026 No. 101482 P. 1–37
This paper examines the effects of the 2008, 2014, and 2020 crises on household consumption patterns in Russian regions. The micro-level analysis is conducted using quarterly data from Rosstat's Household Budget Survey. Dependent variables are expenditure on food at home, out-of-home, alcohol, non-food items, services. Explanatory variables are household characteristics and dummy variables that capture ...
Added: May 18, 2026
Airport resilience to large-scale events: the case of Pulkovo Airport
Lodiagin B., Nazarova V., Rincon C. J., URBAN, PLANNING AND TRANSPORT RESEARCH 2026 Vol. 14 No. 1
This study applies an established social cost–benefit analysis (CBA), combined with sequential shock scenarios (COVID-19 and the post-2022 sanctions) and Monte Carlo sensitivity analysis, to evaluate the welfare robustness and recovery dynamics of the Pulkovo Airport PPP renovation project (St. Petersburg, Russia). Using traffic, operations, and cargo forecasts through 2040, we compare a pre-shock baseline ...
Added: May 17, 2026
Совершенствование методов оптимизации при многих критериях и адаптации выбора к предпочтениям ЛПР
Brodetskiy G., Gerami V., Shidlovskii I. et al., Транспорт: наука, техника, управление 2026 № 3 С. 3–8
В статье предложен специальный метод модификации процедур многокритериальной оптимизации. Он позволяет расширить набор критериев выбора, чтобы учитывать предпочтения лица, принимающего решения (ЛПР) как раз в моделях транспортного обеспечения работы цепей поставок. Реализуется изменение наклона направляющей для линий уровня критерия выбора в пространстве значений частных критериев (с нацеливанием выбора на утопическую точку). Разработаны и представлены требуемые ...
Added: May 17, 2026
Влияет ли финансовое состояние компаний на прогностическую точность DCF-модели?
Федоров Н. С., Финансовый журнал 2025 Т. 17 № 6 С. 99–112
The DCF model is one of the most commonly used models in valuing companies for investment deci sions. Nevertheless, estimating the accuracy of this model remains an important research question. This article presents an assessment of the accuracy of DCF model specifications based on analyzing the variance of fair share prices of companies listed on ...
Added: May 15, 2026
Предсказательная точность целевых цен акций: сравнение прогнозов аналитиков и машинного обучения
Федоров Н. С., Финансы и бизнес 2025 Т. 21 № 3 С. 34–50
Currently, the role of artificial intelligence is increasingly playing a significant role in various fields, including the increasing role of machine learning in finance. On the other hand, company valuation remains an important part of research due to its difficulty in correctly predicting the accuracy of target stock prices. This study provides an analysis of ...
Added: May 15, 2026
The interplay of objective fat content and subjective fat perception in determining consumer acceptance of bovine milk
Semenova D., Radygina A., Zaripova J. et al., Nutrition and Food Science 2026 P. 1–13
Purpose This study aims to investigate how objective (chemical composition, processing method) and subjective (perceived fat content) milk characteristics influence taste perception. Design/methodology/approach A blind tasting experiment was conducted with 36 participants who evaluated six commercial milk samples (all 2.5% fat) differing in thermal processing and brand territorial coverage. Each sample was tasted twice, yielding 432 observations. Fatty ...
Added: May 14, 2026
Размышления о спасении тонущего ребёнка: эффективный альтруизм и социальные институты
Balashov D., Антиномии 2026 Т. 26 № 1 С. 27–48
The movement of effective altruism, which emerged at the beginning of the 21st century, represents a new form of utilitarian philosophy that has had a significant impact on Anglo-American philosophical thought in the 19th and 20th centuries. A key feature of effective altruism is its emphasis on practicality. The movement positions itself as an entity ...
Added: May 13, 2026
Игры на сетях с линейным наилучшим ответом: модели и методы управления
Petrov I., Автоматика и телемеханика 2026 № 6 С. 82–118
Системам связанных агентов и сетевому управлению посвящено большое число отечественных и зарубежных исследований. Исторически, наибольший интерес в теории управления возникал к усредняющим системам и, в частности, к задаче консенсуса. Однако сетевое взаимодействие может характеризоваться более специфическими функциями, отражающими зависимость от действий соседей по сети, что особенно явно проявляется в моделях стратегического взаимодействия на сети, которое ...
Added: May 12, 2026
Сборник лучших докладов конференции "Ломоносовские чтения" (2025)
М.: Экономический факультет МГУ им. М.В. Ломоносова, 2026.
В сборнике приводятся тексты лучших докладов участников Международной ежегодной научной конференции «Ломоносовские чтения-2025» (секция экономи ческих наук) «Настоящее и будущее социально-экономического развития: потен циал ИИ и новые вызовы», состоявшейся 9–11 апреля 2025 г. на экономическом факультете МГУ имени М. В. Ломоносова. Материалы сгруппированы по тематическим направлениям. ...
Added: May 12, 2026
AlphaDent: A dataset for automated tooth pathology detection
Sosnin E. I., Vasil’ev Y. L., R.A. Solovyev et al., Computer Optics 2025 Vol. 49 No. 6 P. 1129–1137
In this article, we present a new unique dataset for dental research – AlphaDent. This dataset is based on the DSLR camera photographs of the teeth of 295 patients and contains over 1200 images. The dataset is labeled for solving the instance segmentation problem and is divided into 9 classes. The article provides a detailed ...
Added: May 4, 2026
Цифровое сопровождение гуманитарных образовательных программ
Kornienko S., Ismakaeva I., Senina A., Отечественная и зарубежная педагогика 2026 Т. 1 № 2 (113) С. 91–102
In the digital age, digital proficiency is becoming a key literacy of the 21st century, particularly relevant for students in humanities education programs. This article proposes a comprehensive model for integrating digital technologies into humanities education at a university. The methodology relies on case studies and design-based research elements, including analysis of regulatory documents, educational ...
Added: April 30, 2026
Разработка микросервиса ADP для идентификации источников выбросов на основе машинного обучения с подкреплением
Kychkin A., Chernitsin I., Прикладная информатика 2026 № 1(121) С. 40–58
The results of the development of a software microservice embedded in atmospheric air quality monitoring systems to support the identification of industrial pollution sources are presented. The emission and subsequent spread of harmful substances in the lower layers of the atmosphere is dynamic and characterized by high uncertainty due to the specific features of technological ...
Added: April 23, 2026
Практики использования технологии дипфейк в современных аудиовизуальных медиа: этические рестрикции
Yefanov A., Человек 2026 Т. 37 № 2 С. 67–82
The article presents the practices of using deepfake technology in modern audiovisual media (television, cinema, internet) by referring to the most resonant cases. Appealing to the conducted by the author results of semi-structured expert interviews (n = 15) with media communications analysts, case study and socio-cultural modeling methods, ethical restrictions of such audiovisual solutions are ...
Added: April 23, 2026
Влияние искусственного интеллекта на профессиональную деятельность фрилансеров
Strebkov D., Социологические исследования 2026 № 2 С. 35–47
The article analyzes the impact of artificial intelligence (AI) on the professional activities of Russian-speaking freelancers engaged in creative and intellectual fields. Based on data from online surveys conducted in 2024 and 2025 on the platform Freelance.ru, the research reveals the dynamics of AI usage, the primary tasks assigned to neural networks, and the advantages ...
Added: April 20, 2026
ARTIFICIAL INTELIGENCE FOR INCLUSION: A PUBLIC BRICS FINANCIAL AI PLATFORM
Yudina M., Ярыгина И., Четти К. et al., Finance: Theory and Practice 2026 Vol. 30 No. 1 P. 103–119
The paper is a result of a comprehensive and systematic approach to reviewing the growing opportunities for BRICS countries in introducing artificial intelligence into a mutual financial platform. The subject of the study is the AI as a factor of BRICS cooperation and its growth in finance. The purpose of the study is to identify measures that stimulate the ...
Added: March 31, 2026
Легитимация этических стандартов правового регулирования искусственного интеллекта в практике отечественного правотворчества и правоприменения
Рыбин А. И., Теоретическая и прикладная юриспруденция 2026 № 1 (27) С. 26–42
Introduction: The article examines the mechanisms of legitimization of ethical standards established in the acts of “soft law”, policy and policy documents, international recommendations in the legal regulation of artificial intelligence (AI) in Russian law-making and law enforcement practice. The purpose of the study is to identify the role and degree of influence of ethical standards on the ...
Added: March 31, 2026
Типологизация стратегий внедрения искусственного интеллекта в образование: Российская Федерация, Европейский союз, Китайская Народная Республика
Zagranichny A., Koroleva D., М.: Издательский дом НИУ ВШЭ, 2025.
The analytical report provides a comparative analysis of strategies for integrating artificial intelligence (AI) into the education systems of the Russian Federation (Russia), the European Union (EU) and the People's Republic of China (China). The study is based on an analysis of key strategic documents governing the development of AI and the digitalization of education ...
Added: March 19, 2026
Diagnostic Accuracy of AI for Opportunistic Screening of Abdominal Aortic Aneurysm in CT: A Systematic Review and Narrative Synthesis
Kodenko M., Vasilev Y., Vladzymyrskyy A. et al., Diagnostics 2022 Vol. 12 No. 12 Article 3197
In this review, we focused on the applicability of artificial intelligence (AI) for opportunistic abdominal aortic aneurysm (AAA) detection in computed tomography (CT). We used the academic search system PubMed as the primary source for the literature search and Google Scholar as a supplementary source of evidence. We searched through 2 February 2022. All studies ...
Added: March 18, 2026
Промпт-инжиниринг как ключевая компетенция в образовании: сущность, особенности и подходы к оцениванию
Davlatova M., Сперанская М. В., Высшее образование в России 2026 Т. 35 № 2 С. 53–73
In the context of the rapid development of Generative Artificial Intelligence (GenAI), prompt engineering is becoming a key competence for effective interaction with large language models in educational settings. However, the lack of a unified understanding of its nature, structure, and assessment tools complicates its integration into educational practice.    The aim of this study is to ...
Added: March 7, 2026
Получите и распишитесь! Впечатления искусственного интеллекта о своих пользователях
Гриб В. В., Isakov V., Pisarevsky E., Человек и закон 2025 № 7 С. 29–41
The article is devoted to the study of the features of user interaction with artificial intelligence (AI) systems. The main categories of users, their requests and criteria for evaluating the quality of communication are considered. Special attention is paid to the issues of clarity, concreteness and relevance of queries, as well as the impact of ...
Added: March 3, 2026
Искусственный интеллект в библиотечной практике: готовность и барьеры
Fedorov A., Карпов С. В., Библиосфера 2025 № 4 С. 106–115
Artificial intelligence (AI) transforms information search by providing librarians with new effective tools to assist users. It changes the ways of information retrieval, where librarians play an important role in helping their users. The purpose of this article is to examine the perception of artificial intelligence by domestic librarians. Based on the analysis of publications, ...
Added: March 2, 2026
ВЗАИМОДЕЙСТВИЕ БИЗНЕСА И ВЛАСТИ ПО СОЗДАНИЮ ЦИФРОВОЙ ИНФРАСТРУКТУРЫ РОССИИ: АКТУАЛЬНОЕ СОСТОЯНИЕ ЦИФРОВИЗАЦИИ В СИСТЕМЕ ОБРАЗОВАНИЯ
Mytenkov S., Волконская А. А., Бизнес. Общество. Власть 2025 № 2 (56) С. 85–97
The article explores the topic of the current state of digitalization in the field of education. The main aspects of the technological development of the industry are described - those already implemented and currently under development, such as: distance education systems, digital educational platforms, artificial intelligence and big data technologies, as well as the experimental ...
Added: February 27, 2026
ВЗАИМОДЕЙСТВИЕ ГОСУДАРСТВА И БИЗНЕСА В ОБЛАСТИ РАЗВИТИЯ ИСКУССТВЕННОГО ИНТЕЛЛЕКТА
Алексеев М. Ю., Гребенюк Е. А., Лукашевич А. И. et al., Бизнес. Общество. Власть 2025 № 3 (57) С. 129–143
This article examines the models of government–business interaction in the advancement of artificial intelligence in the United States, China, and Russia. The analysis demonstrates that the U.S. venture-grant model, China’s state-corporate model, and Russia’s cross-sector model facilitate AI deployment in different ways, each with distinct advantages and limitations. The findings clarify how national AI strategies ...
Added: February 27, 2026
Искусственный интеллект в контексте юридической техники
Isakov V., В кн.: Юридическая техника: учебник. 2-е издание.: М.: Издательство Проспект, 2024. Гл. 22 С. 498–525.
The chapter examines the history of artificial intelligence (AI), its distinctive features and stages of development. The most common classifications of AI are given. The advantages of AI and its disadvantages, as well as the dangers and risks that it can pose to humans, are shown. The subjectivity of AI and its possible legal status ...
Added: February 23, 2026
  • About
  • About
  • Key Figures & Facts
  • Sustainability at HSE University
  • Faculties & Departments
  • International Partnerships
  • Faculty & Staff
  • HSE Buildings
  • HSE University for Persons with Disabilities
  • Public Enquiries
  • Studies
  • Admissions
  • Programme Catalogue
  • Undergraduate
  • Graduate
  • Exchange Programmes
  • Summer University
  • Summer Schools
  • Semester in Moscow
  • Business Internship
  • Research
  • International Laboratories
  • Research Centres
  • Research Projects
  • Monitoring Studies
  • Conferences & Seminars
  • Academic Jobs
  • Yasin (April) International Academic Conference on Economic and Social Development
  • Media & Resources
  • Publications by staff
  • HSE Journals
  • Publishing House
  • iq.hse.ru: commentary by HSE experts
  • Library
  • Economic & Social Data Archive
  • Video
  • HSE Repository of Socio-Economic Information
  • HSE1993–2026
  • Contacts
  • Copyright
  • Privacy Policy
  • Site Map
Edit