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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">10.17073/2072-1633-2021-2-184-194</article-id><article-id custom-type="elpub" pub-id-type="custom">economyprom-917</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 знаний</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>Knowledge economy</subject></subj-group></article-categories><title-group><article-title>Применение модели оценки уровня готовности технологий при реализации инновационных научно-технических проектов</article-title><trans-title-group xml:lang="en"><trans-title>Application of technology readiness level assessment model in realization of innovative scientific and technological projects</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>Гончарова</surname><given-names>Н. П.</given-names></name><name name-style="western" xml:lang="en"><surname>Goncharova</surname><given-names>N. P.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Гончарова Наталья Павловна – магистр.</p><p>105005, Москва, ул. 2-я Бауманская, д. 5</p></bio><bio xml:lang="en"><p>Natalia P. Goncharova – Magister.</p><p>5/1 2-ya Baumanskaya Str., Moscow 105005</p></bio><email xlink:type="simple">nataly.gonn79@gmail.com</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Горлачева</surname><given-names>Е. Н.</given-names></name><name name-style="western" xml:lang="en"><surname>Gorlacheva</surname><given-names>E. N.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Горлачева Евгения Николаевна – доктор экономических наук, доцент.</p><p>105005, Москва, ул. 2-я Бауманская, д. 5</p></bio><bio xml:lang="en"><p>Evgenia N. Gorlacheva – Dr. Sci. (Econ.), Associated Professor.</p><p>5/1 2-ya Baumanskaya Str., Moscow 105005</p></bio><email xlink:type="simple">gorlacheva@yandex.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru"><institution>Московский государственный технический университет имени Н.Э. Баумана</institution><country>Россия</country></aff><aff xml:lang="en"><institution>Bauman Moscow State Technical University</institution><country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2021</year></pub-date><pub-date pub-type="epub"><day>30</day><month>06</month><year>2021</year></pub-date><volume>14</volume><issue>2</issue><fpage>184</fpage><lpage>194</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Гончарова Н.П., Горлачева Е.Н., 2021</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="ru">Гончарова Н.П., Горлачева Е.Н.</copyright-holder><copyright-holder xml:lang="en">Goncharova N.P., Gorlacheva E.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/917">https://ecoprom.misis.ru/jour/article/view/917</self-uri><abstract><p>В настоящее время возрастает значимость инновационной деятельности, которая является решающим фактором обеспечения экономического роста страны. Обоснованно принимать управленческие решения при воплощении инновационных научно-технических проектов возможно на основе показателей результативности в рамках модели оценки уровня готовности технологий (УГТ). В статье рассмотрена модель оценки уровня готовности технологий (Technology Readiness Level, TRL) и предложен набор показателей результативности аналогичной российской модели УГТ. На примере мониторинга предложенных показателей результативности 8-го уровня TRL выявлен фактор, оказывающий наибольшее влияние на один из показателей (рентабельность производства), предложен вариант решения выявленной проблемы, для контроля за показателем обучена нейронная сеть. Полученные результаты показали возможность адаптации шкалы TRL под нужды высокотехнологичных предприятий, осуществляющих программы технологического развития. Результаты могут быть использованы при реализации инновационных научно-технических проектов для снижения затрат на различных этапах жизненного цикла и увеличения эффективности принятых управленческих решений.</p></abstract><trans-abstract xml:lang="en"><p>At present, innovative activity is becoming more and more significant, and is a vital factor of maintaining economic growth of the country. When realizing innovative scientific and technological projects it is possible to make well-grounded managerial decisions basing on the performance indicators within the technology readiness level (TRL) assessment model. The authors study the TRL assessment model and present a set of performance indicators of similar Russian TRL model. On the example of monitoring of suggested performance indicators of the eighth technology readiness level the authors reveal the factor producing the most serious impact on one of the factors (profitability of production) and present an option for solving the problem, and a neuron network has been trained to control the indicator. The results obtained have revealed the possibility of adapting the TRL scale for the needs of high technology businesses which implement technological development programs. The results can be used in realization of innovative scientific and technological projects to reduce the costs at different life cycle stages and to increase the efficiency of the managerial decisions taken.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>модель оценки уровня готовности технологий</kwd><kwd>инновационный научно-технический проект</kwd><kwd>машинное обучение</kwd><kwd>рентабельность производства</kwd></kwd-group><kwd-group xml:lang="en"><kwd>technology readiness level assessment model</kwd><kwd>innovative scientific and technological project</kwd><kwd>machine training</kwd><kwd>profitability of production</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">Беляков Г.П., Кочемаскин А.Н. Понятие и экономическая сущность научно-технологического развития. 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