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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">sseu</journal-id><journal-title-group><journal-title xml:lang="ru">Вестник Самарского государственного экономического университета</journal-title><trans-title-group xml:lang="en"><trans-title>Vestnik of Samara State University of Economics</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">1993-0453</issn><publisher><publisher-name>Самарский государственный экономический университет</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">sseu-9</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>РЕГИОНАЛЬНАЯ И ОТРАСЛЕВАЯ ЭКОНОМИКА</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>REGIONAL AND SECTORAL ECONOMY</subject></subj-group></article-categories><title-group><article-title>Выбор бренда спортивной одежды на маркетплейсе  на основе метода анализа иерархий</article-title><trans-title-group xml:lang="en"><trans-title>Selecting a sportswear brand on a marketplace based on the process  of hierarchy analysis</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>Стрижак</surname><given-names>А. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Strizhak</surname><given-names>A. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Анна Юрьевна Стрижак – доктор экономических наук, доцент, доцент кафедры экономической теории </p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Anna Yu. Strizhak – Doctor of Economics, Associate Professor, Associate Professor of the Department of Economic Theory</p><p>Saint Petersburg</p></bio><email xlink:type="simple">strizhak.a86@mail.ru</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>Волокобинский</surname><given-names>М. Ю.</given-names></name><name name-style="western" xml:lang="en"><surname>Volokobinsky</surname><given-names>M. Yu.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Михаил Юрьевич Волокобинский – доктор технических наук, профессор, профессор кафедры высшей математики  и системного моделирования сложных процессов  </p><p>Санкт-Петербург</p></bio><bio xml:lang="en"><p>Mikhail Yu. Volokobinsky – Doctor of Technical Sciences, Professor, Professor of the Department of Higher Mathematics and System Modeling of Complex Processes </p><p>Saint Petersburg</p></bio><email xlink:type="simple">volokobin@mail.ru</email><xref ref-type="aff" rid="aff-2"/></contrib></contrib-group><aff-alternatives id="aff-1"><aff xml:lang="ru">Санкт-Петербургский политехнический университет Петра Великого<country>Россия</country></aff><aff xml:lang="en">Peter the Great St. Petersburg Polytechnic University<country>Russian Federation</country></aff></aff-alternatives><aff-alternatives id="aff-2"><aff xml:lang="ru">Санкт-Петербургский университет Государственной противопожарной службы МЧС России<country>Россия</country></aff><aff xml:lang="en">Saint Petersburg University of State Fire Service of EMERCOM of Russia<country>Russian Federation</country></aff></aff-alternatives><pub-date pub-type="collection"><year>2025</year></pub-date><pub-date pub-type="epub"><day>01</day><month>12</month><year>2025</year></pub-date><volume>0</volume><issue>4</issue><elocation-id>64–74</elocation-id><permissions><copyright-statement>Copyright &amp;#x00A9; Стрижак А.Ю., Волокобинский М.Ю., 2025</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="ru">Стрижак А.Ю., Волокобинский М.Ю.</copyright-holder><copyright-holder xml:lang="en">Strizhak A.Y., Volokobinsky M.Y.</copyright-holder><license 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.sseu.ru/jour/article/view/9">https://vestnik.sseu.ru/jour/article/view/9</self-uri><abstract><p>Актуальность темы исследования обусловлена возрастающей ролью электронной коммерции, в частности маркетплейсов, в формировании новых потребительских предпочтений, связанных с выбором товаров и услуг множества конкурирующих брендов. Целью статьи является исследование проблематики выбора товаров определенной группы (спортивной одежды) на маркетплейсе на основе метода анализа иерархий. Теоретическую базу исследования составили труды отечественных и зарубежных ученых в области цифровизации рынков, развития маркетплейсов, а также мотивов потребительского поведения. При проведении эмпирической части исследования использовались методы социологического опроса и анализа иерархий. Альтернативами при построении иерархической структуры выступили известные бренды спортивной одежды. На основе социологического исследования определены критерии, на которые ориентируются респонденты при покупке спортивной одежды: точная размерная сетка, стильный дизайн, эргономичность материалов, цена и программы лояльности, наличие очень больших и очень малых размеров, большая линейка аксессуаров, спортивного инвентаря. Используя метод анализа иерархий, авторы построили матрицы попарного сравнения брендов на основе ранжирования по степени значимости факторов, которыми руководствуются респонденты при совершении покупки. Наиболее весомыми факторами стали эргономичность материалов и стильный дизайн. Полученная матрица с весовыми критериями может быть полезна как для производителей спортивной одежды, так и для маркетологов, задействованных в спортивной индустрии. </p></abstract><trans-abstract xml:lang="en"><p>The relevance of the research topic is due to the increasing role of e-commerce, in particular marketplaces, in the formation of new consumer preferences related to the choice of goods and services of many competing brands. The purpose of the article is to study the problems of choosing goods of a certain group (sportswear) on the marketplace based on the method of hierarchy analysis. The theoretical basis of the study was the works of domestic and foreign scientists in the field of digitalization of markets, development of marketplaces, as well as motives of consumer behavior. When conducting the empirical part of the study, the methods of sociological survey and hierarchy analysis were used. Well-known brands of sportswear acted as alternatives in constructing the hierarchical structure. Based on the sociological study, the criteria that respondents focus on when buying sportswear were determined: accurate size chart, stylish design, ergonomics of materials, price and loyalty programs, availability of very large and very small sizes, a large line of accessories, sports equipment. Using the hierarchy analysis method, the authors constructed pairwise comparison matrices of brands based on ranking the importance of factors that respondents use when making a purchase. The most significant factors were ergonomic materials and stylish design. The resulting matrix with weight criteria can be useful for both sportswear manufacturers and marketers involved in the sports industry. </p></trans-abstract><kwd-group xml:lang="ru"><kwd>бренд</kwd><kwd>маркетплейс</kwd><kwd>цифровизация</kwd><kwd>альтернативы</kwd><kwd>критерии выбора</kwd><kwd>спортивная одежда</kwd><kwd>метод анализа иерархий</kwd><kwd>многокритериальный выбор</kwd></kwd-group><kwd-group xml:lang="en"><kwd>brand</kwd><kwd>marketplace</kwd><kwd>digitalization</kwd><kwd>alternatives</kwd><kwd>selection criteria</kwd><kwd>sportswear</kwd><kwd>hierarchy analysis method</kwd><kwd>multi-criteria choice</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">Ecommerce Statistics (2024): Global Data. 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