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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">guuvest</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник университета</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik Universiteta</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1816-4277</issn><issn pub-type="epub">2686-8415</issn><publisher><publisher-name>State University of Management</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26425/1816-4277-2025-1-149-162</article-id><article-id custom-type="elpub" pub-id-type="custom">guuvest-5889</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: ПРОБЛЕМЫ, РЕШЕНИЯ И ПЕРСПЕКТИВЫ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>ECONOMICS: PROBLEMS, SOLUTIONS AND PROSPECTS</subject></subj-group></article-categories><title-group><article-title>Экономическая диагностика операционной деятельности промышленного предприятия на основе бизнес-индикаторов</article-title><trans-title-group xml:lang="en"><trans-title>Economic diagnosis of operational activities of an industrial enterprise based on business indicators</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-8680-627X</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Белова</surname><given-names>Е. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Belova</surname><given-names>E. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Белова Елена Юрьевна, Ст. преп. каф. информационных систем </p><p>г. Москва</p></bio><bio xml:lang="en"><p>Elena Yu. Belova, Senior Lecturer at the Information Systems Department </p><p>Moscow</p></bio><email xlink:type="simple">ey_belova@guu.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/0000-0001-7292-5115</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Бадьина</surname><given-names>А. В.</given-names></name><name name-style="western" xml:lang="en"><surname>Badina</surname><given-names>A. V.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Бадьина Анна Викторовна, Канд. экон. наук, доц. каф. информационных систем, доц. каф. бизнес-информатики </p><p>г. Москва</p></bio><bio xml:lang="en"><p>Anna V. Badina, Cand. Sci. (Econ.), Assoc. Prof. at the Information Systems Department, Assoc. Prof. at the Business Informatics Department </p><p>Moscow</p></bio><email xlink:type="simple">av_badina@guu.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</institution><country>Россия</country></aff><aff xml:lang="en"><institution>State University of Management</institution><country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Государственный университет управления;&#13;
Финансовый университет при Правительстве Российской Федерации</institution><country>Россия</country></aff><aff xml:lang="en"><institution>State University of Management;&#13;
Financial University under the Government of the Russian Federation</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>18</day><month>03</month><year>2025</year></pub-date><volume>0</volume><issue>1</issue><fpage>149</fpage><lpage>162</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Белова Е.Ю., Бадьина А.В., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Белова Е.Ю., Бадьина А.В.</copyright-holder><copyright-holder xml:lang="en">Belova E.Y., Badina A.V.</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://vestnik.guu.ru/jour/article/view/5889">https://vestnik.guu.ru/jour/article/view/5889</self-uri><abstract><p>В современных условиях неопределенности, динамичности и недостаточной прогнозируемости, с учетом сложности и целеустремленности производственно-хозяйственных систем возникает необходимость регулярного отслеживания условий их внутренней и внешней среды и реагирования на происходящие изменения. В работе сформулированы новые и развиты существующие концептуальные положения и методические основы системы экономической диагностики в качестве средства управления результативностью операционной деятельности производственных предприятий. Выявлено, что существует определенная неоднозначность подходов к понятиям «эффективность» и «результативность» деятельности современных субъектов рыночной экономики. Под экономической диагностикой результативности операционной деятельности предприятий понимается процесс отбора экономических показателей с целью отслеживания их отклонения от критериальных значений для своевременного выявления и предупреждения проблем. Соответственно, ее рассматривают при помощи панели индикаторов и показателей результативности бизнес-процессов. На основе ключевых бизнес-процессов предприятия и критериев затраты – время – качество определены экономические показатели, отражающие результативность организации. Выявлен перечень ее экономических индикаторов, который учитывает направленность на долгосрочное функционирование предприятия. Обосновано применение методов прогнозирования в процессе экономической диагностики с использованием трендовых моделей, что обеспечивает улучшение репрезентативности прогнозов. Исследована результативность трех машиностроительных предприятий, входящих в группу компаний «Объединенные автомобильные технологии», и определены интегральные показатели результативности их деятельности, а также влияние на них бизнеспроцессов предприятия.</p></abstract><trans-abstract xml:lang="en"><p>In modern conditions of uncertainty, dynamism, and insufficient predictability, with consideration to complexity and goal-oriented nature of production and economic systems, there arises a necessity for regular monitoring of conditions of their internal and external environments and responding to ongoing changes. This article formulates new and advances existing conceptual positions and methodological foundations of an economic diagnostic system as a means to manage performance of operational activities in manufacturing enterprises. It is identified that there exists a certain ambiguity in approaches to the concepts of efficiency and performance of activities of modern market economy subjects. Economic diagnostic of the operational performance of enterprises is the process of selecting economic indicators to track their deviation from criterion values for timely problem identification and prevention. Accordingly, it is examined using a panel of indicators and performance metrics of business processes. Based on key business processes of the enterprise and criteria of cost – time – quality, the economic indicators reflecting the enterprise performance are determined. A list of its indicators is established, which considers the focus of the enterprise on long-term functioning. The application of forecasting methods in the economic diagnostic process is justified, utilising trend models to enhance forecast representativeness. The performance of three machine-building enterprises within the group of companies “United Automotive Technologies” is investigated. Their integrated performance indicators and influence of the enterprise business processes on them are indentified.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>Бизнес-процесс</kwd><kwd>интегральный показатель</kwd><kwd>результативность</kwd><kwd>себестоимость</kwd><kwd>модель тренда</kwd><kwd>бизнес-индикатор</kwd><kwd>экономическая диагностика</kwd></kwd-group><kwd-group xml:lang="en"><kwd>Business process</kwd><kwd>integrated indicator</kwd><kwd>performance</kwd><kwd>cost</kwd><kwd>trend model</kwd><kwd>business indicator</kwd><kwd>economic diagnostics</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">Vogl G.W., Weiss B.A., Helu M. A review of diagnostic and prognostic capabilities and best practices for manufacturing. 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