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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">economyprom</journal-id><journal-title-group><journal-title xml:lang="ru">Экономика промышленности / Russian Journal of Industrial Economics</journal-title><trans-title-group xml:lang="en"><trans-title>Russian Journal of Industrial Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2072-1633</issn><issn pub-type="epub">2413-662X</issn><publisher><publisher-name>MISIS</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.17073/2072-1633-2021-3-309-316</article-id><article-id custom-type="elpub" pub-id-type="custom">economyprom-941</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>Экономика предприятий</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Business economics</subject></subj-group></article-categories><title-group><article-title>Программный продукт в системе управления корпорациями с государственным участием</article-title><trans-title-group xml:lang="en"><trans-title>Software product in the system of management of state-owned corporation</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3821-6408</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Данилова</surname><given-names>О. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Danilova</surname><given-names>O. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Данилова Ольга Викторовна – доктор экономических наук, профессор</p><p>125167, Москва, Ленинградский просп., д. 49</p></bio><bio xml:lang="en"><p>Olga V. Danilova – Dr. Sci. (Econ.), Professor</p><p>49 Leningradsky Ave., 125167 Moscow, Russian Federation</p></bio><email xlink:type="simple">danilovaov@yandex.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/0000-0002-3431-3844</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Журавлева</surname><given-names>Д. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Zhuravleva</surname><given-names>D. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Журавлева Дарья Николаевна – аспирант</p><p>125167, Москва, Ленинградский просп., д. 49</p></bio><bio xml:lang="en"><p>Daria N. Zhuravleva – Graduate Student</p><p>49 Leningradsky Ave., 125167 Moscow, Russian Federation</p></bio><email xlink:type="simple">mooredari@gmail.com</email><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>2021</year></pub-date><pub-date pub-type="epub"><day>06</day><month>10</month><year>2021</year></pub-date><volume>14</volume><issue>3</issue><fpage>309</fpage><lpage>316</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Данилова О.В., Журавлева Д.Н., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Данилова О.В., Журавлева Д.Н.</copyright-holder><copyright-holder xml:lang="en">Danilova O.V., Zhuravleva D.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://ecoprom.misis.ru/jour/article/view/941">https://ecoprom.misis.ru/jour/article/view/941</self-uri><abstract><p>В статье представлены разработанные авторами методические рекомендации к определению программного комплекса для принятия управленческих решений в деятельности корпорации. Рассмотрена система управления в корпорациях с государственным участием и обоснованы способы ее совершенствования на основе внедрения ИТ-решений. В условиях цифровизации процессы принятия управленческих решений в корпорациях трансформируются в соответствии со скоростью принятия решений, своевременностью обеспечения производственного процесса, способами и формами передачи информации. Доказано, что с ростом интенсивности внедрения информационных технологий и постоянного развития инновационных решений резко возрастает ответственность топ-менеджмента за конкурентные позиции компании на рынке. На основе предложенных рекомендаций использования технологий больших данных (Big Data), определения и внедрения ИТ-решений обоснованы возможности повышения эффективности системы управления за счет оптимизации бизнес-процессов.</p></abstract><trans-abstract xml:lang="en"><p>The authors present their methodological recommendations for choosing a software complex to make managerial decisions within a corporation’s activity. They study the system of management in state-owned corporations and give reasons for its improvement by means of implementing IT-decisions. Digitalization is transforming managerial decision making process in corporations in accordance with the speed of decision-making, timely maintenance of production process, ways and forms of information transmission. The authors prove that top-management’s responsibility for a company’s competitive positions in the market is growing fast due to the more intensive implementation of information technology and continuous development of innovative decisions. As state-owned enterprises have a complicated interdependent structure, the system of their management becomes a process which should conform with conceptual basis and principles of transformation of a company’s activity within digital economics. The authors prove that suggested recommendations for using big data technologies, determining and implementing IT-decisions make it possible to increase the efficiency of the management system by means of optimizing business process.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>корпорации с государственным участием</kwd><kwd>системы управления</kwd><kwd>бизнес-процессы</kwd><kwd>инструменты</kwd><kwd>эффективность автоматизации</kwd><kwd>информационные технологии</kwd><kwd>программные продукты</kwd><kwd>внедрение</kwd></kwd-group><kwd-group xml:lang="en"><kwd>state-owned corporations</kwd><kwd>management systems</kwd><kwd>business processes</kwd><kwd>management systems</kwd><kwd>automation efficiency tools</kwd><kwd>information technology implementation</kwd><kwd>software</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">Danilova O.V., Ordov K.V., Belayeva I.Yu. 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