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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">Russian Journal of Management</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">Russian Journal of Management</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Russian Journal of Management</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="print">2409-6024</issn>
   <issn publication-format="online">2500-1469</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">12005</article-id>
   <article-id pub-id-type="doi">10.12737/19854</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>Практика менеджмента</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>Practice of management</subject>
    </subj-group>
    <subj-group>
     <subject>Практика менеджмента</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">MANAGEMENT INTERACTION OF ENTERPRISES IN INDUSTRIAL CLUSTERS</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Управление взаимодействием предприятий в промышленном кластере</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Герасимов</surname>
       <given-names>Кирилл Борисович</given-names>
      </name>
      <name xml:lang="en">
       <surname>Gerasimov</surname>
       <given-names>Kirill Борисович</given-names>
      </name>
     </name-alternatives>
     <email>270580@bk.ru</email>
    </contrib>
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Просвиркин</surname>
       <given-names>Николай Юрьевич</given-names>
      </name>
      <name xml:lang="en">
       <surname>Prosvirkin</surname>
       <given-names>Nikolay Юрьевич</given-names>
      </name>
     </name-alternatives>
    </contrib>
   </contrib-group>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2016-05-27T00:00:00+03:00">
    <day>27</day>
    <month>05</month>
    <year>2016</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2016-05-27T00:00:00+03:00">
    <day>27</day>
    <month>05</month>
    <year>2016</year>
   </pub-date>
   <volume>4</volume>
   <issue>2</issue>
   <fpage>218</fpage>
   <lpage>223</lpage>
   <self-uri xlink:href="https://riorpub.com/en/nauka/article/12005/view">https://riorpub.com/en/nauka/article/12005/view</self-uri>
   <abstract xml:lang="ru">
    <p>Статья посвящена разработке методического инструментария для решения проблемы существования негативных аспектов кластеризации. Для этого разработаны специальная&#13;
авторская методика и система контроля эффективности взаимодействия предприятий в составе промышленного кластера. Преимуществами разработанной системы контроля являются простота ее использования, быстрота получения результатов оценки, доступность исходных данных для проведения расчетов, а также возможность ее использования не только для уже существующих кластеров, но и для проектируемых кластеров, что позволяет предотвратить возможные негативные аспекты кластеризации. Авторами также проведена апробация разработанной системы контроля эффективности взаимодействия предприятий в составе существующего промышленного кластера на примере Поволжского автомобильного кластера России и планируемого металлургического кластера в России.&#13;
</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The article is devoted to the development of methodological tools to address the problem of existence of the negative aspects of clustering. For this purpose, a special author’s technique and the system for monitoring the effectiveness of interaction between enterprises as part of the industrial cluster are developed.&#13;
The advantages of the developed control system areits ease of use, speed of obtaining results of the evaluation, the availability of source data for the calculations, and the ability to use it not only for existing clusters, but also for projected clusters, which helps prevent the possible negative aspects of clustering. The authors also&#13;
performed testing of the developed system for monitoring the effectiveness&#13;
of interaction between enterprises within an existing industrial cluster as an example of the Volga Automobile Cluster of Russia and the planned metallurgical cluster in Russia.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>кластер</kwd>
    <kwd>предприятие</kwd>
    <kwd>производство</kwd>
    <kwd>промышленность</kwd>
    <kwd>система контроля.</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>cluster</kwd>
    <kwd>enterprise</kwd>
    <kwd>production</kwd>
    <kwd>industry</kwd>
    <kwd>system of control.</kwd>
   </kwd-group>
  </article-meta>
 </front>
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