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<article xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="1.4" article-type="research-article" xml:lang="en"><front><journal-meta><journal-title-group><journal-title xml:lang="ru">Управленец</journal-title></journal-title-group><journal-id journal-id-type="issn">2218-5003</journal-id><journal-id journal-id-type="eissn">2686-7923</journal-id></journal-meta><article-meta><article-id pub-id-type="doi">10.29141/2218-5003-2023-14-4-7</article-id><article-id pub-id-type="edn">TGZTJJ</article-id><article-id pub-id-type="uri">https://upravlenets.usue.ru/ru/-2023/1341</article-id><self-uri>https://upravlenets.usue.ru/ru/-2023/1341</self-uri><title-group><article-title xml:lang="ru">Психографическая сегментация потребителей рынка коммерческой недвижимости: методический и практический аспекты</article-title><trans-title-group xml:lang="en"><trans-title>Psychographic consumer segmentation in the commercial real estate market: Methodological and practical aspects</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name><surname>Назаркина</surname><given-names>Валерия Александровна</given-names></name><name-alternatives><name xml:lang="ru"><surname>Назаркина</surname><given-names>Валерия Александровна</given-names></name><name xml:lang="en"><surname>Nazarkina</surname><given-names>Valeriya A.</given-names></name></name-alternatives><xref ref-type="aff" rid="aff1"/><email>valeria71@bk.ru</email></contrib><aff-alternatives id="aff1"><aff><institution xml:lang="en">Novosibirsk State Technical University (Novosibirsk, Russia)</institution></aff><aff><institution xml:lang="ru">Новосибирский государственный технический университет (г. Новосибирск, РФ)</institution></aff></aff-alternatives></contrib-group><pub-date pub-type="epub" iso-8601-date="2023-09-07"><day>07</day><month>09</month><year>2023</year></pub-date><volume>14</volume><issue>4</issue><fpage>100</fpage><lpage>114</lpage><history><date date-type="received" iso-8601-date="2023-03-17"><day>17</day><month>03</month><year>2023</year></date><date date-type="accepted" iso-8601-date="2023-05-16"><day>16</day><month>05</month><year>2023</year></date></history><permissions><license><license-p xml:lang="ru">CC BY-NC 4.0</license-p></license></permissions><abstract xml:lang="ru"><p>Для рынка коммерческой недвижимости характерны, с одной стороны, сложность в принятии потребителем решений об инвестировании, а с другой – необходимость создания инвестиционных продуктов предприятием-застройщиком. Статья посвящена разработке методики сегментации потребителей на основе психографических признаков и ее апробации на примере рынка коммерческой недвижимости. Методологической базой исследования послужила теория классического маркетинга. Использован метод эннеаграммы – психографической сегментации, которая позволяет определять подсознательные мотивы, влияющие на поведение потребителей, в частности на принятие решения об инвестировании. Для уточнения ценностей и мотивов инвесторов дополнительно использован метод LOV. Информационной базой работы выступили результаты экспертного опроса 10 специалистов в области маркетинга строительной сферы с помощью методов Дельфи и анализа иерархий Т. Саати, а также результаты анкетирования 53 действительных и потенциальных инвесторов в коммерческую недвижимость. Предложена авторская методика сегментации потребителей рынка коммерческой недвижимости, разработанная с учетом его специфики. В рамках апробации методики были определены типы инвесторов, а для одного из приоритетных типов сформирована маркетинговая программа, предусматривающая повышение лояльности и узнаваемости организации среди инвесторов. Детальное изучение психотипа потребителя и его ценностей позволили тщательно подойти к разработке инвестиционного продукта и его успешному продвижению среди потенциальных инвесторов.</p></abstract><trans-abstract xml:lang="en"><p>The commercial real estate market offers two facets: on the one hand, consumers face difficulties in making investment decisions, and on the other, developers are driven by the need to create investment products. The article presents a psychographic consumer segmentation methodology and tests it in conditions of the commercial real estate market. The theoretical framework of the study is classical marketing theory. The Enneagram method is applied to reveal consumers’ subconscious motives behind their behavioural characteristics and investment decision-making, in particular. Additionally, the LOV method is used to clarify investors’ values and motives. The empirical evidence of the research is the survey data from 10 experts in the field of marketing for construction obtained using the Delphi method and Thomas Saaty’s Analytic Hierarchy Process, as well as data from 53 actual and potential investors in commercial real estate. The author’s own consumer segmentation method is proposed, which is designed according to the specificities of the commercial real estate market. As part of the methodology testing, we have identified the types of investors and formulated a marketing programme for one of the priority types that provides for increasing the loyalty to, and recognition of, the organization among investors. The in-depth study of consumers’ personality types and values has substantially contributed to the development of an investment product and its successful promotion among potential investors.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>сегментация;</kwd><kwd>психографическая сегментация;</kwd><kwd>типология личности;</kwd><kwd>метод эннеаграммы;</kwd><kwd>метод LOV;</kwd><kwd>рынок коммерческой недвижимости;</kwd><kwd>поведение потребителей.</kwd></kwd-group><kwd-group xml:lang="en"><kwd>segmentation;</kwd><kwd>psychographic segmentation;</kwd><kwd>personality typology;</kwd><kwd>Enneagram;</kwd><kwd>LOV method;</kwd><kwd>commercial real estate market;</kwd><kwd>consumer behaviour.</kwd></kwd-group></article-meta></front><back><ref-list><ref id="ref1"><mixed-citation xml:lang="ru">Аакер Д., Кумар В., Дэй Дж. (2004). Маркетинговые исследования. Санкт-Петербург: Питер.</mixed-citation></ref><ref id="ref2"><mixed-citation xml:lang="ru">Ахмедов М.М. (2016). 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