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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">ecna</journal-id><journal-title-group><journal-title xml:lang="ru">Экономика науки</journal-title><trans-title-group xml:lang="en"><trans-title>Economics of Science</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2410-132X</issn><issn pub-type="epub">2949-4680</issn><publisher><publisher-name>Delo Publishing house</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="edn" pub-id-type="custom">HTRVPO</article-id><article-id custom-type="elpub" pub-id-type="custom">ecna-643</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>НАУЧНО-ТЕХНИЧЕСКИЙ ПРОГРЕСС И ЕГО ВЛИЯНИЕ НА ОТРАСЛИ ЭКОНОМИКИ, ЭКОНОМИЧЕСКИЙ РОСТ И ИННОВАЦИОННОЕ РАЗВИТИЕ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>SCIENTIFIC AND TECHNICAL PROGRESS AND ITS IMPACT ON INDUSTRIES, ECONOMIC GROWTH, AND INNOVATIVE DEVELOPMENT</subject></subj-group></article-categories><title-group><article-title>Технология управления по слабым сигналам в информационно избыточных средах «экономики данных»</article-title><trans-title-group xml:lang="en"><trans-title>Technology of management by weak signals in information redundant environments of the data economy</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-1144-4486</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Камолов</surname><given-names>С. Г.</given-names></name><name name-style="western" xml:lang="en"><surname>Kamolov</surname><given-names>S. G.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Камолов Сергей Георгиевич – доктор экономических наук, доцент, профессор кафедры управления активами, факультет международных экономических отношений</p><p>Scopus Author ID: 57195267672, Researcher ID Web of Science: G-2191–2016</p><p>119454, Москва, проспект Вернадского, 76</p></bio><bio xml:lang="en"><p>Sergey G. Kamolov – Doctor of Economics, Associate Professor, Professor Department of Asset Management, Faculty of International Economic Relations</p><p>Scopus Author ID: 57195267672; Researcher ID Web of Science: G-2191–2016</p><p>76, Vernadsky Avenue, Moscow, 119454</p></bio><email xlink:type="simple">s.kamolov@inno.mgimo.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/0000-0003-0945-0721</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Алексеев</surname><given-names>Д. Б.</given-names></name><name name-style="western" xml:lang="en"><surname>Alekseev</surname><given-names>D. B.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Алексеев Денис Борисович – проректор</p><p> Author ID: 141979</p><p>119571, Москва, проспект Вернадского, 82</p></bio><bio xml:lang="en"><p>Denis B. Alekseev – Vice-Rector</p><p>82, Vernadsky Avenue, Moscow, 119571</p></bio><email xlink:type="simple">alekseev-db@ranepa.ru</email><xref ref-type="aff" rid="aff-2"/></contrib><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0002-6463-3494</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Девятова</surname><given-names>Д. Д.</given-names></name><name name-style="western" xml:lang="en"><surname>Devyatova</surname><given-names>D. D.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Девятова Дарья Дмитриевна – старший аналитик</p><p>101000, Москва, улица Малая Лубянка, 16</p></bio><bio xml:lang="en"><p>Daria D. Devyatova – Senior Analyst</p><p>16, Malaya Lubyanka Street, Moscow, 101000</p></bio><email xlink:type="simple">thesvirina@gmail.com</email><xref ref-type="aff" rid="aff-3"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский государственный институт международных отношений Министерства иностранных дел&#13;
Российской Федерации</institution></aff><aff xml:lang="en"><institution>Moscow State Institute of International Relations of the Ministry of Foreign Affairs of the Russian Federation</institution></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru"><institution>Российская академия народного хозяйства и государственной службы при Президенте Российской&#13;
Федерации</institution></aff><aff xml:lang="en"><institution>Russian Presidential Academy of National Economy and Public Administration</institution></aff></aff-alternatives><aff-alternatives id="aff-3"><aff xml:lang="ru"><institution>АНО «Институт сравнительных исследований умных городов»</institution></aff><aff xml:lang="en"><institution>ANO “Institute for Comparative Studies of Smart Cities”</institution></aff></aff-alternatives><pub-date pub-type="collection"><year>2026</year></pub-date><pub-date pub-type="epub"><day>29</day><month>03</month><year>2026</year></pub-date><volume>12</volume><issue>1</issue><fpage>136</fpage><lpage>150</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Камолов С.Г., Алексеев Д.Б., Девятова Д.Д., 2026</copyright-statement><copyright-year>2026</copyright-year><copyright-holder xml:lang="ru">Камолов С.Г., Алексеев Д.Б., Девятова Д.Д.</copyright-holder><copyright-holder xml:lang="en">Kamolov S.G., Alekseev D.B., Devyatova D.D.</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://ecna.elpub.ru/jour/article/view/643">https://ecna.elpub.ru/jour/article/view/643</self-uri><abstract><p>Целью настоящего исследования является библиометрическая систематизация подходов к технологии управления по слабым сигналам с последующим синтезом верифицируемой онтологической модели концепта. Научная новизна исследования заключается в реконструкции трансдисциплинарной онтологической структуры слабого сигнала как управленческой категории, объединяющей кибернетические, информационные и стратегические основания. Для ее достижения решаются две ключевые задачи: определение семантического поля, локализующего концепт слабого сигнала в междисциплинарном пространстве, и реконструкция трансдисциплинарной онтологической карты технологии управления. Применены библиометрические статистические инструменты, семантическое кодирование и картографирование. Методологической основой исследования выступает сочетание библиометрического анализа, семантической нормировки и онтологического моделирования. Корпус исследования включает 210 публикаций, отобранных за период 1996–2023 г. на основе сплошной выборки из международных баз научного цитирования. Верификация концепта слабых сигналов выполнена на двух кейсах. Результатами исследования являются: формирование семантической карты концепта «слабого сигнала»; выявление устойчивых кластеров научного дискурса и их сравнительная характеристика; построение онтологической модели технологии управления по слабым сигналам. Авторами созданы методологические основания для дальнейшей разработки концепта менеджмента по слабым сигналам и применения в управлении сложными наукоёмкими организационными системами в условиях экономики данных. </p></abstract><trans-abstract xml:lang="en"><p>Relevance. Today, the government is making significant efforts for implementation of the national project “Data Economics and Digital Transformation of the State”, which will create an advanced technological infrastructure for real-time processing of management information in unprecedented volumes. A dialectical view of the processes of shaping an economic environment saturated with data allows us to consider a number of challenges that require scientific understanding. The key one is the need to distinguish between data with the management value and disparate information arrays. At a fundamental level, this problem was foreseen by the founders of cybernetics, developing the “weak signal–noise” dichotomy, where weak signals can be considered as proto-data. A weak signal is an inconspicuous, not yet classified, but potentially critical for decision–making, sign of changes in the internal and external environment that eludes standard perception and analysis procedures. Technology of management by weak signals issues have been the subject of research not only in cybernetics, but also in information theory and strategic management, but the task of developing a unified applied management methodology has not yet been solved. The purpose of this study is the bibliometric systematization of approaches to the technology of weak signal management, followed by the synthesis of a verifiable ontological model of the concept. The scientific novelty of the study lies in the reconstruction of a transdisciplinary ontological structure of the weak signal as a managerial category that integrates cybernetic, informational, and strategic foundations. To achieve this goal, two key tasks were solved: defining a semantic field that localizes the concept of a weak signal in an interdisciplinary space, and transdisciplinary ontological mapping of such technology. Bibliometric statistical tools, semantic coding and mapping are used. The methodological basis of the study is the combination of bibliometric analysis, semantic normalization, and ontological modeling. The research corpus includes 210 publications selected for the period 1996–2023 based on a continuous sample from international scientific citation databases. Verification of the concept of weak signals was carried out on two cases. The results of the study include: the construction of a semantic map of the “weak signal” concept; the identification of stable clusters of scientific discourse and their comparative characterization; and the development of an ontological model of the technology of management by weak signals. The authors have created methodological foundations for the further development of the concept of management by weak signals and its application in the governance of complex organizational systems in data economy. </p></trans-abstract><kwd-group xml:lang="ru"><kwd>слабые сигналы</kwd><kwd>стратегический менеджмент</kwd><kwd>кибернетика</kwd><kwd>теория информации</kwd><kwd>библиометрический анализ</kwd><kwd>неопределенность</kwd></kwd-group><kwd-group xml:lang="en"><kwd>weak signals</kwd><kwd>strategic management</kwd><kwd>cybernetics</kwd><kwd>information theory</kwd><kwd>bibliometric analysis</kwd><kwd>uncertainty</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">Жуков, А.О., Камолов, С.Г., &amp; Хрусталев, Е.Ю. (2018). Модели и методы стимулирования инновационного развития наукоемкого сектора российской экономики: монография. МГИМО-Университет. 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