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<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">ecr-journal</journal-id><journal-title-group><journal-title xml:lang="ru">Экономическая наука современной России</journal-title><trans-title-group xml:lang="en"><trans-title>Economics of Contemporary Russia</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1609-1442</issn><issn pub-type="epub">2618-8996</issn><publisher><publisher-name>Regional Public Organization for Assistance to the Development of Institutions of the Department of Economics of the Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.33293/1609-1442-2026-29(1)-56-72</article-id><article-id custom-type="edn" pub-id-type="custom">FEQOFV</article-id><article-id custom-type="elpub" pub-id-type="custom">ecr-journal-1194</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>АКТУАЛЬНЫЕ ПРОБЛЕМЫ ЭКОНОМИЧЕСКОЙ ТЕОРИИ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ACTUAL PROBLEMS OF ECONOMICS</subject></subj-group></article-categories><title-group><article-title>Факторы конкурентоспособности фирмы в цифровой экономике в условиях многополярности</article-title><trans-title-group xml:lang="en"><trans-title>Factors of firm competitiveness in the digital economy and multipolarity</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9742-3437</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Сазанова</surname><given-names>Светлана Леонидовна</given-names></name><name name-style="western" xml:lang="en"><surname>Sazanova</surname><given-names>Svetlana L.</given-names></name></name-alternatives><bio xml:lang="ru"><p>кандидат экономических наук, доцент</p></bio><bio xml:lang="en"><p>Cand. Sci. (Economic), Associate Professor</p></bio><email xlink:type="simple">sazanova@mail.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0009-0005-2757-9619</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Карманов</surname><given-names>Николай Нурланович</given-names></name><name name-style="western" xml:lang="en"><surname>Karmanov</surname><given-names>Nikolay N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>преподаватель</p></bio><bio xml:lang="en"><p>Lecturer</p></bio><email xlink:type="simple">karmanov_nn@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Государственный университет управления, Финансовый университет при Правительстве РФ, Москва</institution><country>Россия</country></aff><aff xml:lang="en"><institution>State University of Management, Financial University under the Government of the Russian Federation, Moscow</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Государственный университет управления, Москва</institution><country>Россия</country></aff><aff xml:lang="en"><institution>State University of Management, Moscow</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>14</day><month>03</month><year>2026</year></pub-date><volume>29</volume><issue>1</issue><fpage>56</fpage><lpage>72</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Сазанова С.Л., Карманов Н.Н., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Сазанова С.Л., Карманов Н.Н.</copyright-holder><copyright-holder xml:lang="en">Sazanova S.L., Karmanov N.N.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://www.ecr-journal.ru/jour/article/view/1194">https://www.ecr-journal.ru/jour/article/view/1194</self-uri><abstract><p>В статье исследованы факторы конкурентоспособности фирмы в контексте двух основных трендов современности: цифровизации экономики и многополярности. Авторы проанализировали эволюцию фирмы во взаимосвязи с развитием рыночной экономики и совершенствованием технологий. Авторы установили, что по мере развития конкурентной среды фирмы изменялись и факторы ее конкурентоспособности, а также научные подходы к их изучению. Определен вклад российских и зарубежных ученых в исследование внешних и внутренних факторов конкурентоспособности фирмы. На основе сравнительного анализа факторов конкурентоспособности фирмы и их эволюции было установлено, что технологии всегда были решающими факторами. Авторы уточнили содержание понятия «многополярность», установили взаимосвязь между развитием цифровых технологий и многополярностью, выявили особенности факторов конкурентоспособности фирмы в условиях многополярности. На основе анализа современных экономико-статистических данных, международной отчетности и экспертных оценок авторы выявили основные инструменты цифровой экономики, формирующие технологические тренды ближайшего будущего: искусственный интеллект, блокчейн, облачные вычисления и новые пользовательские интерфейсы, также определено их влияние на деятельность фирмы. Внешние и внутренние факторы конкурентоспособности фирмы в цифровой экономике в условиях многополярности структурированы авторами по типам (экономические, технологические, институциональные, социальные), видам и характеру воздействия на деятельность фирмы (прямые и косвенные). Выявлены и проанализированы взаимосвязи между факторами конкурентоспособности фирмы. Изучение возможностей применения инструментов цифровой экономики позволило выявить потенциал искусственного интеллекта для комплексного моделирования внешней и внутренней среды фирмы. Было установлено, что искусственный интеллект существенно повышает эффективность применения блокчейна, облачных вычислений и новых пользовательских интерфейсов, а потому он может существенно повысить конкурентоспособность фирмы в цифровой экономике в условиях многополярности, сократив трансформационные и транзакционные издержки и увеличив не только материально-вещественный, технологический и финансовый, но и человеческий потенциал фирмы.</p></abstract><trans-abstract xml:lang="en"><p>This article examines the factors of firm competitiveness in the context of two key contemporary trends: economic digitalization and multipolarity. The authors analyzed firm evolution in relation to the development of a market economy and technological advances. They found that as firm’s competitive environment evolved, so did its competitiveness factors, as well as the scientific approaches to studying them. The contributions of Russian and international scholars to the study of external and internal factors of firm competitiveness were identified. A comparative analysis of firm competitiveness factors and their evolution revealed that technology has always been a decisive factor. The authors clarified the concept of “multipolarity,” established the relationship between the development of digital technologies and multipolarity, and identified the specific factors of firm competitiveness in a multipolar environment. Based on an analysis of modern economic and statistical data, international reporting, and expert assessments, the authors identified the key tools of the digital economy that are shaping technological trends of the near future: artificial intelligence, blockchain, cloud computing, and new user interfaces, and determined their impact on firm operations. The authors structured the external and internal factors of a company’s competitiveness in a digital economy in a multipolar world by type (economic, technological, institutional, and social), the type and nature of their impact on the company’s operations (direct and indirect), identified and analyzed the interrelations between these factors. A study of the application of digital economic tools revealed the high potential of artificial intelligence for comprehensively modeling a company’s external and internal environment. It was found that artificial intelligence significantly increases the efficiency of blockchain, cloud computing, and new user interfaces, and can therefore significantly enhance a company’s competitiveness in a digital economy in a multipolar world by reducing transformation and transaction costs and increasing not only the company’s material, technological, and financial potential, but its human potential as well.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>цифровая экономика</kwd><kwd>фирма</kwd><kwd>конкурентоспособность</kwd><kwd>конкуренция</kwd><kwd>искусственный интеллект</kwd><kwd>трансакционные издержки</kwd><kwd>экономическая система</kwd><kwd>блокчейн</kwd><kwd>облачные вычисления</kwd><kwd>пользовательские интерфейсы</kwd></kwd-group><kwd-group xml:lang="en"><kwd>digital economy</kwd><kwd>company</kwd><kwd>competitiveness</kwd><kwd>competition</kwd><kwd>artificial intelligence</kwd><kwd>transaction costs</kwd><kwd>economic system</kwd><kwd>blockchain</kwd><kwd>cloud computing</kwd><kwd>user interfaces</kwd></kwd-group><funding-group><funding-statement xml:lang="ru">Исследование выполнено за счет гранта Российского научного фонда (проект № 24-18-00948).</funding-statement><funding-statement xml:lang="en">This research was supported by a grant from the Russian Science Foundation (project no. 24-18-00948).</funding-statement></funding-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Алексеенко О.А. 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