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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>JOURNAL OF MONETARY ECONOMICS AND MANAGEMENT</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2782-4586</issn>
   <issn publication-format="online">2949-1851</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">104284</article-id>
   <article-id pub-id-type="doi">10.26118/2782-4586.2025.40.81.004</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Научные статьи</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>SCIENTIFIC ARTICLES</subject>
    </subj-group>
    <subj-group>
     <subject>Научные статьи</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Methodology for assessing changes in company revenues in the context of digital transformation</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Методология оценки изменений в доходах компаний в контексте цифровой трансформации</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Син</surname>
       <given-names>Янань </given-names>
      </name>
      <name xml:lang="en">
       <surname>Xing</surname>
       <given-names>Yanan </given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">Ростовский государственный экономический университет </institution>
    </aff>
    <aff>
     <institution xml:lang="en">Rostov State University of Economics</institution>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2025-10-11T12:47:06+03:00">
    <day>11</day>
    <month>10</month>
    <year>2025</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-10-11T12:47:06+03:00">
    <day>11</day>
    <month>10</month>
    <year>2025</year>
   </pub-date>
   <issue>7</issue>
   <fpage>36</fpage>
   <lpage>40</lpage>
   <history>
    <date date-type="received" iso-8601-date="2025-09-16T00:00:00+03:00">
     <day>16</day>
     <month>09</month>
     <year>2025</year>
    </date>
   </history>
   <self-uri xlink:href="https://jomeam.ru/en/nauka/article/104284/view">https://jomeam.ru/en/nauka/article/104284/view</self-uri>
   <abstract xml:lang="ru">
    <p>Данное исследование объединяет теоретическую эволюцию и тематические исследования, чтобы систематически изучить путь развития методов оценки изменений корпоративной выручки в контексте цифровой трансформации с двух точек зрения - экономики и менеджмента. Выяснилось, что традиционный одномерный метод оценки трудно адаптировать к динамичной среде цифровизации, и существует настоятельная необходимость в создании динамичной системы анализа с междисциплинарной интеграцией. С помощью квазиестественных экспериментов, моделей прогнозирования больших данных и моделирования системной динамики исследование показывает, что цифровая трансформация.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>This study combines theoretical evolution and case studies to systematically explore the development of methods for assessing changes in corporate revenue in the context of digital transformation from two perspectives - economics and management. It turned out that the traditional one-dimensional assessment method is difficult to adapt to the dynamic environment of digitalization, and there is an urgent need to create a dynamic analysis system with interdisciplinary integration. Through quasi-natural experiments, big data forecasting models, and system dynamics modeling, the study shows that digital transformation.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>цифровая трансформация</kwd>
    <kwd>изменение доходов бизнеса</kwd>
    <kwd>методы оценки</kwd>
    <kwd>экономика</kwd>
    <kwd>менеджмент</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>digital transformation</kwd>
    <kwd>business income change</kwd>
    <kwd>valuation methods</kwd>
    <kwd>economics</kwd>
    <kwd>management</kwd>
   </kwd-group>
  </article-meta>
 </front>
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