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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">109028</article-id>
   <article-id pub-id-type="doi">10.26118/2782-4586.2025.13.49.032</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 the effectiveness of startup studios: development of a comprehensive hybrid framework</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Методика оценки эффективности стартап-студий: разработка комплексного гибридного фреймворка</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Менькин</surname>
       <given-names>Леонид Олегович</given-names>
      </name>
      <name xml:lang="en">
       <surname>Men'kin</surname>
       <given-names>Leonid Olegovich</given-names>
      </name>
     </name-alternatives>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Горовой</surname>
       <given-names>Александр Александр Андреевич</given-names>
      </name>
      <name xml:lang="en">
       <surname>Gorovoy</surname>
       <given-names>Aleksandr Aleksandr Andreevich</given-names>
      </name>
     </name-alternatives>
     <bio xml:lang="ru">
      <p>доктор экономических наук;</p>
     </bio>
     <bio xml:lang="en">
      <p>doctor 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">Национальный исследовательский университет информационных технологий, механики и оптики</institution>
    </aff>
    <aff>
     <institution xml:lang="en">National Research University of Informational Technologies, Mechanics and Optics</institution>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2025-12-03T18:54:45+03:00">
    <day>03</day>
    <month>12</month>
    <year>2025</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-03T18:54:45+03:00">
    <day>03</day>
    <month>12</month>
    <year>2025</year>
   </pub-date>
   <issue>9</issue>
   <fpage>434</fpage>
   <lpage>446</lpage>
   <history>
    <date date-type="received" iso-8601-date="2025-11-30T00:00:00+03:00">
     <day>30</day>
     <month>11</month>
     <year>2025</year>
    </date>
   </history>
   <self-uri xlink:href="https://zhpi.ru/en/nauka/article/109028/view">https://zhpi.ru/en/nauka/article/109028/view</self-uri>
   <abstract xml:lang="ru">
    <p>Статья посвящена разработке комплексной методики оценки эффективности стартап-студий — организаций, систематически создающих технологические компании посредством параллельного запуска проектов. Несмотря на быстрый рост числа venture-studio-инициатив и впечатляющие показатели выживаемости их портфелей, единых критериев измерения результативности этой модели пока не существует. Цель работы — сформировать гибридный фреймворк, который позволит сопоставимо анализировать деятельность студий различного типа и масштаба, объединяя финансовые, портфельные, операционные и качественные индикаторы. Теоретическая основа исследования включает критический обзор более пятидесяти академических публикаций и отраслевых отчётов 1995–2025 гг.; эмпирическая — полуструктурированные интервью с пятнадцатью российскими и зарубежными стартап-студиями, а также анализ открытых данных о 230 созданных ими компаниях. Методиками стали сравнительный и контент-анализ, дескриптивная статистика и экспертное ранжирование метрик. Итоговая модель объединяет показатели внутренней нормы доходности, мультипликаторов стоимости, средней доли студии в капитале, а также коэффициенты выживаемости, дальнейшего финансирования и выхода из проектов. Дополняют их операционные характеристики — конверсия идей в стартапы, стоимость запуска, скорость создания MVP и своевременность достижения контрольных точек, — и качественные параметры, отражающие удовлетворённость основателей, стратегическую релевантность проектов и вклад студии в экосистему.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The article is devoted to the development of a comprehensive methodology for evaluating the effectiveness of startup studios, organizations that systematically create technology companies through the parallel launch of projects. Despite the rapid growth in the number of venture studio initiatives and the impressive survival rates of their portfolios, there are no uniform criteria for measuring the effectiveness of this model yet. The aim of the work is to create a hybrid framework that will allow for a comparable analysis of the activities of studios of various types and scales, combining financial, portfolio, operational and qualitative indicators. The theoretical basis of the research includes a critical review of more than fifty academic publications and industry reports from 1995-2025, the empirical one includes semi—structured interviews with fifteen Russian and foreign startup studios, as well as an analysis of open data on 230 companies they have created. The methods were comparative and content analysis, descriptive statistics, and expert ranking of metrics. The final model combines indicators of the internal rate of return, cost multipliers, the average studio share in the capital, as well as survival rates, further financing and exit from projects. They are complemented by operational characteristics — the conversion of ideas into startups, the cost of launching, the speed of creating MVP and the timeliness of reaching milestones — and qualitative parameters reflecting the satisfaction of the founders, the strategic relevance of the projects and the studio's contribution to the ecosystem.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>стартап-студия</kwd>
    <kwd>методика оценки эффективности</kwd>
    <kwd>KPI</kwd>
    <kwd>гибридный фреймворк</kwd>
    <kwd>внутренняя норма доходности (IRR)</kwd>
    <kwd>коэффициент выживаемости</kwd>
    <kwd>экосистемный вклад</kwd>
    <kwd>корпоративные инновации</kwd>
    <kwd>венчурное инвестирование</kwd>
    <kwd>последующее финансирование</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>startup studio</kwd>
    <kwd>efficiency assessment methodology</kwd>
    <kwd>KPI</kwd>
    <kwd>hybrid framework</kwd>
    <kwd>internal rate of return (IRR)</kwd>
    <kwd>survival rate</kwd>
    <kwd>ecosystem contribution</kwd>
    <kwd>corporate innovation</kwd>
    <kwd>venture investment</kwd>
    <kwd>follow-on funding</kwd>
   </kwd-group>
  </article-meta>
 </front>
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