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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">sano</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Сибирского института бизнеса и информационных технологий</journal-title><trans-title-group xml:lang="en"><trans-title>Herald of Siberian Institute of Business and Information Technologies</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2225-8264</issn><publisher><publisher-name>Сибирский институт бизнеса и информационных технологий</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.24412/2225-8264-2023-4-92-97</article-id><article-id custom-type="elpub" pub-id-type="custom">sano-680</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>РАЗДЕЛ II. ЭКОНОМИКА И УПРАВЛЕНИЕ НАРОДНЫМ ХОЗЯЙСТВОМ (ПО ОТРАСЛЯМ И СФЕРАМ ДЕЯТЕЛЬНОСТИ) (ЭКОНОМИЧЕСКИЕ НАУКИ)</subject></subj-group></article-categories><title-group><article-title>ЦИФРОВАЯ ИНТЕГРАЦИИ И ПРОМЫШЛЕННАЯ ПОЛИТИКА: АНАЛИЗ ЗАРУБЕЖНОГО ОПЫТА</article-title><trans-title-group xml:lang="en"><trans-title>DIGITAL INTEGRATION AND INDUSTRIAL POLICY: ANALYSIS OF FOREIGN EXPERIENCE</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Морева</surname><given-names>Е. Л.</given-names></name><name name-style="western" xml:lang="en"><surname>Moreva</surname><given-names>E. L.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Морева Евгения Львовна</p><p>кандидат экономических наук, доцент, заместитель директора Института финансово-промышленной политики</p><p>г. Москва, Ленинградский пр-т., 49</p></bio><bio xml:lang="en"><p>Evgeniya L. Moreva</p><p>PhD in economics, Associate professor, Deputy Director, Institute of Financial and Industrial Policy</p></bio><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Финансовый университет при Правительстве Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Financial University under the Government of the Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>15</day><month>01</month><year>2024</year></pub-date><volume>12</volume><issue>4</issue><fpage>92</fpage><lpage>97</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Морева Е.Л., 2024</copyright-statement><copyright-year>2024</copyright-year><copyright-holder xml:lang="ru">Морева Е.Л.</copyright-holder><copyright-holder xml:lang="en">Moreva E.L.</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://sano.elpub.ru/jour/article/view/680">https://sano.elpub.ru/jour/article/view/680</self-uri><abstract><p>Статья посвящена исследованию цифровой интеграции (ЦИ) в промышленности Германии и Южной Кореи, а также практикам стимулирования ее развития при реализации в этих странах промышленной политики для учета их опыта в России.Целью работы является определение возможностей использования зарубежных практик управления и развития ЦИ в промышленной политике нашей страны. Основными методами проведенного исследования стали контент-анализ, метод экономической компаративистики, а также общенаучные теоретические и эмпирические методы. Объектом исследования является промышленный сектор в Германии и Южной Корее, — странах из группы «цифровых лидеров», выделенной на основе Диджитал Интеллидженс индекса.В статье автор исследует пути развития ЦИ в промышленном секторе двух стран и результативность проводимой в них политики поддержки этого процесса. Отмечаются ограниченные масштабы охвата ЦИ индустриального сектора, выявлена специфика участников этих процессов и требования к субъектам управления им.Результатом проведенного исследования являются выводы о состоятельности государственной поддержки ЦИ в промышленности двух стран, несмотря на ограниченные результаты проводимых в них экономико-политических курсов; о недостатках, которые сопровождали разработку и реализацию государственных усилий; а также о целесообразности их учета при проведении в России промышленной политики по развитию ЦИ, в т.ч. дифференцированного подхода к вовлечению в ЦИ разных отраслевых субъектов, необходимости подготовки для управления этим процессом соответствующих государственных структур и согласования их усилий между собой. Сделанные выводы имеют теоретическую и практическую направленность, могут использоваться в работе властей на разных уровнях управления и в хозяйственной деятельности отечественных промышленных организаций. </p></abstract><trans-abstract xml:lang="en"><p>The article is devoted to the study of digital integration (DI) in industry in Germany and South Korea, as well as the practices of stimulating its development when implementing industrial policies in these countries to consider their experience in Russia.The purpose of the paper is to determine the possibilities of using foreign practices in the management and development of digital intelligence in the industrial policy of our country. The main methods of the research are the content analysis, the method of comparative economics, as well as the general scientific theoretical and empirical methods. The object of the study is the industrial sector in Germany and South Korea, i.e. the countries of the «digital leaders» group, identified as per the Digital Intelligence Index.In the article the author examines the ways of the DI development in the industrial sector of two countries and the effectiveness of the policies pursued in them to support this process. The limited scope of DI coverage of the industrial sector is noted, the specifics of the participants in these processes and the requirements for the subjects of their management are identified.The results of the study are the conclusions about the viability of state support for DI in the industry of the two countries, despite the limited results of the economic and political courses conducted in them; about the shortcomings accompanied the development and implementation of government efforts; as well as the advisability to consider them when implementing industrial policy in Russia DI to develop, incl. a differentiated approach to the involvement of different industrial subjects in DI, the need to prepare relevant government structures to manage this process and coordinate their efforts among themselves. The conclusions drawn have a theoretical and practical orientation and can be used in the activities of authorities at different levels of governance and in the economic performance of domestic industrial organizations.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>цифровая интеграция</kwd><kwd>промышленная политика</kwd><kwd>промышленность</kwd><kwd>платформы</kwd><kwd>сети</kwd><kwd>цифровая трансформация</kwd><kwd>умная фабрика</kwd><kwd>малый бизнес</kwd><kwd>крупный бизнес</kwd><kwd>цепочки поставок</kwd><kwd>интернет вещей</kwd><kwd>цепочки стоимости</kwd></kwd-group><kwd-group xml:lang="en"><kwd>digital integration</kwd><kwd>industrial policy</kwd><kwd>industry</kwd><kwd>platforms</kwd><kwd>networks</kwd><kwd>digital transformation</kwd><kwd>smart factory</kwd><kwd>small business</kwd><kwd>large business</kwd><kwd>supply chains</kwd><kwd>Internet of things</kwd><kwd>value chains</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Морева Е. 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