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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">10.26425/1816-4277-2023-6-58-66</article-id><article-id custom-type="elpub" pub-id-type="custom">guuvest-4533</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>РАЗВИТИЕ ОТРАСЛЕВОГО И РЕГИОНАЛЬНОГО УПРАВЛЕНИЯ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>DEVELOPMENT OF INDUSTRY AND REGIONAL MANAGEMENT</subject></subj-group></article-categories><title-group><article-title>Анализ больших данных и изменение потребительских предпочтений в мировом туризме в постпандемийный период</article-title><trans-title-group xml:lang="en"><trans-title>Big data analysis and changes in customer preferences in post-pandemic global tourism</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-8184-6304</contrib-id><name-alternatives><name name-style="eastern" xml:lang="ru"><surname>Замятина</surname><given-names>Н. А.</given-names></name><name name-style="western" xml:lang="en"><surname>Zamyatina</surname><given-names>N. A.</given-names></name></name-alternatives><bio xml:lang="ru"><p>Замятина Наталья Александровна - Канд. филол. наук, доц. каф. управления в международном бизнесе и индустрии туризма </p><p> Москва </p></bio><bio xml:lang="en"><p>Natalia A. Zamyatina - Cand. Sci. (Philol.), Assoc. Prof. at the Management in International Business &amp; Tourism Industry Department </p><p>Moscow </p></bio><email xlink:type="simple">zamiatina.guu@gmail.com</email><xref ref-type="aff" rid="aff-1"/></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><pub-date pub-type="collection"><year>2023</year></pub-date><pub-date pub-type="epub"><day>17</day><month>07</month><year>2023</year></pub-date><volume>1</volume><issue>6</issue><fpage>58</fpage><lpage>66</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Замятина Н.А., 2023</copyright-statement><copyright-year>2023</copyright-year><copyright-holder xml:lang="ru">Замятина Н.А.</copyright-holder><copyright-holder xml:lang="en">Zamyatina N.A.</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/4533">https://vestnik.guu.ru/jour/article/view/4533</self-uri><abstract><p>Список ведущих держателей больших данных, чья бизнес-аналитика обладает наибольшим авторитетом для прогнозирования и планирования в мировом туризме, и их отчеты на основе анализа больших данных нуждаются в верификации, что представляет собой актуальную задачу. Проведенное исследование выявило недостаточное внимание к возможностям больших данных для прогнозирования в туризме и использование традиционных ограниченных методов анализа потребительских предпочтений, которые затем публикуются в годовых отчетах и тиражируются СМИ. Тем не менее анализ больших данных, выполненный разными компаниями, отражает резкие изменения потребительских приоритетов в постпандемийный период 2022–2023 гг. и фиксирует спрос на аутентичность, вариативность, повышенную заботу о физическом и психическом здоровье, нематериальные признаки роскоши и в целом понимание того, что путешествие начинает восприниматься как необходимая составляющая здорового образа жизни. С учетом указанных ограничений перечень потребительских предпочтений, составленный на основе представленных в отчетах тенденций развития туризма на 2023 г., имеет практическую значимость для всех заинтересованных лиц отрасли.</p></abstract><trans-abstract xml:lang="en"><p>The list of leading big data holders, whose market intelligence has the most authority for forecasting and planning in global tourism, as well as the reports based on big data analysis are of high importance to be verified. The study reveals a lack of attention to the big data potential for forecasting in tourism and use of traditional limited methods of consumer preferences research published in the annual reports and then circulate in media. Nevertheless, big data analysis implemented by various companies reflects a dramatic change in consumer priorities of the post-pandemic period and captures the demand for authenticity, variety, increased concern for physical and mental health, intangible luxury, and, in general, understanding that traveling is beginning to be perceived as one of essentials of healthy lifestyle. Given these limitations, the list of consumer preferences based on the reported tourism trends for 2023 is of practical relevance to all stakeholders in the industry.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>туризм</kwd><kwd>цифровизация</kwd><kwd>прогнозирование и планирование</kwd><kwd>анализ больших данных</kwd><kwd>инновации</kwd><kwd>стратегии развития</kwd><kwd>потребительские предпочтения</kwd><kwd>спрос</kwd><kwd>онлайн турагентства</kwd><kwd>глобальные дистрибьютерские системы</kwd><kwd>международные сетевые отели</kwd></kwd-group><kwd-group xml:lang="en"><kwd>tourism</kwd><kwd>digitalization</kwd><kwd>forecasting and planning</kwd><kwd>big data analysis</kwd><kwd>innovation</kwd><kwd>strategic management</kwd><kwd>consumer preferences</kwd><kwd>demand</kwd><kwd>online travel agencies</kwd><kwd>global distribution systems</kwd><kwd>international chain hotels</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">Басовский Л. 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