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<article 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" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">RUDN Journal of Economics</journal-id><journal-title-group><journal-title xml:lang="en">RUDN Journal of Economics</journal-title><trans-title-group xml:lang="ru"><trans-title>Вестник Российского университета дружбы народов. Серия: Экономика</trans-title></trans-title-group></journal-title-group><issn publication-format="print">2313-2329</issn><issn publication-format="electronic">2408-8986</issn><publisher><publisher-name xml:lang="en">Peoples’ Friendship University of Russia named after Patrice Lumumba (RUDN University)</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">26017</article-id><article-id pub-id-type="doi">10.22363/2313-2329-2021-29-1-99-113</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>ECONOMIC GROWTH AND SOCIO-ECONOMIC DEVELOPMENT</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>ЭКОНОМИЧЕСКИЙ РОСТ И СОЦИАЛЬНО-ЭКОНОМИЧЕСКОЕ РАЗВИТИЕ</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Methodological tools for managing intellectual resources: overcoming limited resource potential</article-title><trans-title-group xml:lang="ru"><trans-title>Методологические инструменты управления интеллектуальными ресурсами: преодоление ограничения ресурсного потенциала</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Digilina</surname><given-names>Olga B.</given-names></name><name xml:lang="ru"><surname>Дигилина</surname><given-names>Ольга Борисовна</given-names></name></name-alternatives><bio xml:lang="en"><p>Doctor of Economics, Professor of the Department of Political Economy</p></bio><bio xml:lang="ru"><p>доктор экономических наук, профессор кафедры политической экономии экономического факультета</p></bio><email>o.b.digilina@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Lebedeva</surname><given-names>Daria V.</given-names></name><name xml:lang="ru"><surname>Лебедева</surname><given-names>Дарья Владимировна</given-names></name></name-alternatives><bio xml:lang="en"><p>PhD Student of the Department of Political Economy</p></bio><bio xml:lang="ru"><p>аспирант кафедры политической экономии экономического факультета</p></bio><email>lena_leb-61@mail.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Peoples’ Friendship University of Russia (RUDN University)</institution></aff><aff><institution xml:lang="ru">Российский университет дружбы народов</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2021-03-23" publication-format="electronic"><day>23</day><month>03</month><year>2021</year></pub-date><volume>29</volume><issue>1</issue><issue-title xml:lang="en">VOL 29, NO1 (2021)</issue-title><issue-title xml:lang="ru">ТОМ 29, №1 (2021)</issue-title><fpage>99</fpage><lpage>113</lpage><history><date date-type="received" iso-8601-date="2021-03-23"><day>23</day><month>03</month><year>2021</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2021, Digilina O.B., Lebedeva D.V.</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2021, Дигилина О.Б., Лебедева Д.В.</copyright-statement><copyright-year>2021</copyright-year><copyright-holder xml:lang="en">Digilina O.B., Lebedeva D.V.</copyright-holder><copyright-holder xml:lang="ru">Дигилина О.Б., Лебедева Д.В.</copyright-holder><ali:free_to_read xmlns:ali="http://www.niso.org/schemas/ali/1.0/"/><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/">http://creativecommons.org/licenses/by/4.0</ali:license_ref></license></permissions><self-uri xlink:href="https://journals.rudn.ru/economics/article/view/26017">https://journals.rudn.ru/economics/article/view/26017</self-uri><abstract xml:lang="en"><p style="text-align: justify;">Intellectual resources, in the form of human (labor) and information resources are increasingly important in an economic environment wherein firms’ limited resource potential impedes innovation. Their assessment, analysis, accounting and distribution are necessary for the effective implementation of innovation activities. However, Russia’s regions differ in the number of staff engaged in research and development and firm innovativeness. Furthermore, geography can present barriers to innovation that undermine firm competitiveness, which ultimately aggravates the socio-economic development of Russia. This problem can be solved by transforming the methodological tools used in the regional development strategy. Whilst each region is distinctive, the authors propose a methodology for assessing the minimum acceptable levels of available intellectual resources necessary for the implementation of an innovative project. This methodology considers activity at different project stages and can be scaled to any economic level and innovative project. The proposed method evaluates the minimum optimal distribution of intellectual resources necessary for the successful implementation of innovative activities, which are considered necessary for transforming the Russian economy and building resource potential. This methodology also allows to assess the sufficiency of available intellectual resources, create a system of metrics for their accounting and replenishment, and utilize intellectual resources across multiple innovative projects simultaneously.</p></abstract><trans-abstract xml:lang="ru"><p style="text-align: justify;">Интеллектуальные ресурсы, а именно человеческие (трудовые) и информационные приобретают все большее значение в экономической среде, где ограниченный ресурсный потенциал компаний препятствует инновациям. Их оценка, анализ, учет и распространение требуются для эффективного осуществления инновационной деятельности. Однако регионы России различаются по количеству сотрудников, занятых в области НИОКР. Более того, географические особенности могут создавать препятствия для инноваций, которые подрывают конкурентоспособность фирм, что в конечном итоге усугубляет социально-экономическое развитие России. Эту проблему можно решить путем трансформации методологического инструментария, используемого в стратегии регионального развития. Пока каждый регион самобытен, авторы предлагают методику оценки минимально приемлемого уровни доступных интеллектуальных ресурсов, нужных для реализации инновационных проектов, учитывающую деятельность на разных этапах проекта и масштабирующуюся под любой инновационный проект. Описываемый метод оценивает оптимальное распределение интеллектуальных ресурсов, необходимых для успешной реализации инновационной деятельности, ведущей к трансформации экономики России и наращиванию ресурсного потенциала.</p></trans-abstract><kwd-group xml:lang="en"><kwd>innovation activity</kwd><kwd>regional strategy</kwd><kwd>limited resource potential</kwd><kwd>regional innovation system</kwd><kwd>optimization of intellectual resources</kwd><kwd>human resources</kwd><kwd>management principles</kwd><kwd>competitiveness</kwd><kwd>linear programming problem</kwd><kwd>methodological tools</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>инновационная деятельность</kwd><kwd>региональная стратегия</kwd><kwd>ограниченный ресурсный потенциал</kwd><kwd>оптимизация интеллектуальных ресурсов</kwd><kwd>конкурентоспособность</kwd><kwd>задача линейного программирования</kwd><kwd>методический инструментарий</kwd></kwd-group><funding-group/></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Balashova, E.S., &amp; Yuriev, V.N. 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