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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Economic policy and national security</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Economic policy and national security</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Экономическая политика и национальная безопасность</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="online">3033-6554</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">113806</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Экономическая безопасность</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>ECONOMIC SECURITY</subject>
    </subj-group>
    <subj-group>
     <subject>Экономическая безопасность</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Rational behaviour in a digital financial environment: preventing fraud risks through cognitive constraints</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Рациональное поведение в условиях цифровой финансовой среды: профилактика рисков мошенничества через когнитивные ограничения</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Злоказова</surname>
       <given-names>Юлия Валерьевна</given-names>
      </name>
      <name xml:lang="en">
       <surname>Zlokazova</surname>
       <given-names>Yulia V.</given-names>
      </name>
     </name-alternatives>
     <email>yuliazlokazova@yandex.ru</email>
     <bio xml:lang="ru">
      <p>кандидат экономических наук;</p>
     </bio>
     <bio xml:lang="en">
      <p>candidate of economic sciences;</p>
     </bio>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Санкт-Петербургский университет МВД России</institution>
     <city>Санкт-Петербург</city>
     <country>Россия</country>
    </aff>
    <aff>
     <institution xml:lang="en">St. Petersburg University of the Ministry of Internal Affairs of Russia</institution>
     <city>St. Petersburg</city>
     <country>Russian Federation</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2026-02-27T00:00:00+03:00">
    <day>27</day>
    <month>02</month>
    <year>2026</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-02-27T00:00:00+03:00">
    <day>27</day>
    <month>02</month>
    <year>2026</year>
   </pub-date>
   <issue>1</issue>
   <fpage>43</fpage>
   <lpage>52</lpage>
   <history>
    <date date-type="received" iso-8601-date="2026-01-08T00:00:00+03:00">
     <day>08</day>
     <month>01</month>
     <year>2026</year>
    </date>
    <date date-type="accepted" iso-8601-date="2026-02-09T00:00:00+03:00">
     <day>09</day>
     <month>02</month>
     <year>2026</year>
    </date>
   </history>
   <self-uri xlink:href="https://russianjournaldeviantbehavior.ru/en/nauka/article/113806/view">https://russianjournaldeviantbehavior.ru/en/nauka/article/113806/view</self-uri>
   <abstract xml:lang="ru">
    <p>Введение. Необходимость обеспечения экономической безопасности населения формирует потребность познания различных видов угроз финансовым ресурсам граждан. В период активной цифровизации общественных отношений наблюдается масштабный рост мошеннических действий, использующих метод социальной инженерии, актуализируя научное познание рационального поведения потребителей. Его составляющие – когнитивные особенности экономического агента, его способность к критическому мышлению и обладание им специальными (финансовыми) знаниями – оцениваются в качестве факторов противодействия манипуляциям и вовлечению в мошеннические схемы. Методы. В работе используются общенаучные методы – анализ и синтез информации о современных теориях и концепциях рационального поведения, а также обобщение, применяемое в целях систематизации научных знаний о рациональном поведении экономического агента. Результаты. Описаны три фактора, влияющие на снижение уровня критического мышления у экономического агента и повышающие вероятность принятия им иррациональных решений (фундаментальные когнитивные ограничения, дефицит специальных знаний, качества цифровой среды). Раскрыты механизмы эксплуатации указанных факторов в цифровых мошенничествах, что позволило уточнить уязвимости и риски в разных возрастных группах, а также сформулировать направления профилактики.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>Introduction. Ensuring the economic security of the population highlights the need of understanding various types of threats to citizens’ financial resources. During the period of active digitalisation of social relations, there has been&#13;
a significant increase in fraudulent activities using social engineering methods, raising the importance of scientific knowledge of rational consumer behaviour. Its components – the cognitive characteristics of an economic agent, their&#13;
critical thinking skills and possession of specialised (financial) knowledge – are assessed as factors in counteracting manipulation and involvement in fraudulent schemes. Methods. The research was based on general scientific methods, including analysis and synthesis of information on contemporary theories and concepts of rational behaviour, as well as generalisation applied for the purpose of systematising scientific knowledge on the rational behaviour of an economic agent. Results. The author describes three factors reducing the level of critical thinking among economic agents and increasing the likelihood of them making irrational decisions (fundamental cognitive limitations, lack of specialised knowledge, and the quality of the digital environment). The mechanisms behind the manipulation of these factors in digital fraud are revealed. These findings made it possible to identify vulnerabilities and risks in different age groups and to formulate prevention strategies.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>иррациональное поведение</kwd>
    <kwd>финансовое мошенничество</kwd>
    <kwd>когнитивная уязвимость</kwd>
    <kwd>финансовая грамотность</kwd>
    <kwd>цифровые преступления</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>irrational behaviour</kwd>
    <kwd>financial fraud</kwd>
    <kwd>cognitive vulnerability</kwd>
    <kwd>financial literacy</kwd>
    <kwd>digital crime</kwd>
   </kwd-group>
  </article-meta>
 </front>
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