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 <front>
  <journal-meta>
   <journal-id journal-id-type="publisher-id">JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS</journal-id>
   <journal-title-group>
    <journal-title xml:lang="en">JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS</journal-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Журнал региональной и международной конкурентоспособности</trans-title>
    </trans-title-group>
   </journal-title-group>
   <issn publication-format="online">2782-1927</issn>
  </journal-meta>
  <article-meta>
   <article-id pub-id-type="publisher-id">93387</article-id>
   <article-id pub-id-type="doi">10.52957/2782-1927-2024-5-4-15-24</article-id>
   <article-categories>
    <subj-group subj-group-type="toc-heading" xml:lang="ru">
     <subject>DEFINING COMPETITIVENESS</subject>
    </subj-group>
    <subj-group subj-group-type="toc-heading" xml:lang="en">
     <subject>DEFINING COMPETITIVENESS</subject>
    </subj-group>
    <subj-group>
     <subject>DEFINING COMPETITIVENESS</subject>
    </subj-group>
   </article-categories>
   <title-group>
    <article-title xml:lang="en">Methods for assessing digital maturity in banking during digital transformation</article-title>
    <trans-title-group xml:lang="ru">
     <trans-title>Методы оценки цифровой зрелости банков в условиях Digital-трансформации</trans-title>
    </trans-title-group>
   </title-group>
   <contrib-group content-type="authors">
    <contrib contrib-type="author">
     <name-alternatives>
      <name xml:lang="ru">
       <surname>Папуша</surname>
       <given-names>Дмитрий Александрович</given-names>
      </name>
      <name xml:lang="en">
       <surname>Papusha</surname>
       <given-names>Dmitriy Aleksandrovich</given-names>
      </name>
     </name-alternatives>
     <email>relations@stadik-group.com</email>
     <xref ref-type="aff" rid="aff-1"/>
    </contrib>
   </contrib-group>
   <aff-alternatives id="aff-1">
    <aff>
     <institution xml:lang="ru">STDK FZCO</institution>
     <city>Дубай</city>
     <country>ОАЭ</country>
    </aff>
    <aff>
     <institution xml:lang="en">STDK FZCO</institution>
     <city>Dubai</city>
     <country>United Arab Emirates</country>
    </aff>
   </aff-alternatives>
   <pub-date publication-format="print" date-type="pub" iso-8601-date="2025-02-24T18:59:58+03:00">
    <day>24</day>
    <month>02</month>
    <year>2025</year>
   </pub-date>
   <pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-02-24T18:59:58+03:00">
    <day>24</day>
    <month>02</month>
    <year>2025</year>
   </pub-date>
   <volume>5</volume>
   <issue>4</issue>
   <fpage>15</fpage>
   <lpage>24</lpage>
   <history>
    <date date-type="received" iso-8601-date="2024-11-26T00:00:00+03:00">
     <day>26</day>
     <month>11</month>
     <year>2024</year>
    </date>
    <date date-type="accepted" iso-8601-date="2025-02-14T00:00:00+03:00">
     <day>14</day>
     <month>02</month>
     <year>2025</year>
    </date>
   </history>
   <self-uri xlink:href="https://chemintech.ru/en/nauka/article/93387/view">https://chemintech.ru/en/nauka/article/93387/view</self-uri>
   <abstract xml:lang="ru">
    <p>В статье рассматриваются методы оценки цифровой зрелости в банковском секторе в условиях цифровой трансформации, подразумевающей необходимость приоритизации и своевременной оценки эффективности внедряемых инициатив. Анализируются существующие модели зрелости, такие как MIT CISR, Gartner, Digital Quotient от McKinsey и Digital Acceleration Index от BCG, модель от KPMG, выявляются их основные преимущества и ограничения, особенно в контексте применения в банках СНГ, имеющих существенные ограничения в доступе к рынку талантов, большой объем легаси ИТ-систем и значимую инерцию масштаба организации. В работе представлена авторская методика, специально адаптированная для потребностей банковских учреждений в регионе СНГ. Эта методика охватывает комплексную оценку ключевых направлений, включая зрелость IT и DevOps процессов, эффективность применения Agile методологий, HR показатели, такие как текучесть кадров и скорость адаптации новых сотрудников, а также бизнес метрики, включая показатели коммерческой эффективности, клиентского опыта и внутренней операционной эффективности. Предложенный подход включает как количественные, так и качественные методы оценки. Количественные методы опираются на данные из внутренних банковских систем, таких системы управления проектами, HR системы, а также автоматизированные дашборды из различных ИТ систем банка. Качественные методы включают экспертные оценки, анонимные опросы сотрудников и индустриальный бенчмаркинг конкурентов. Статья описывает этапы реализации методики, начиная от планирования и сбора данных до калибровки результатов и использования их для формирования трансформационной дорожной карты. Применение методики в ряде банков СНГ на протяжении 5 лет демонстрировало её эффективность в повышении прозрачности управления цифровыми инициативами и ускорении достижения стратегических целей. Результаты исследования подчеркивают важность системного подхода к управлению цифровой зрелостью и адаптации глобальных моделей к специфике местного рынка.</p>
   </abstract>
   <trans-abstract xml:lang="en">
    <p>The article discusses methods for assessing digital maturity in the banking sector. This digital transformation implying the need for prioritisation and timely assessment of the effectiveness of implemented initiatives. The research analyses existing maturity models such as MIT CISR, Gartner, Digital Quotient from McKinsey and Digital Acceleration Index from BCG, KPMG. The author dwells on the models main advantages and limitations in terms of application in CIS banks with significant restrictions in access to the talent market, a large amount of legacy IT systems, and significant inertia the scale of the organisation. The research presents the author's methodology adapted to the needs of banking institutions in the CIS region. This methodology covers a comprehensive assessment of key areas, including the maturity of IT and DevOps processes, the effectiveness of Agile methodologies, HR indicators such as staff turnover and the speed of adaptation of new employees, business metrics, including indicators of commercial efficiency, customer experience, and internal operational efficiency. The proposed approach includes both quantitative and qualitative assessment methods. Quantitative methods are based on data from internal banking systems such as project management systems, HR systems, automated dashboards from various IT systems of the bank, etc. Qualitative methods include expert assessments, anonymous employee surveys, and industrial benchmarking of competitors. The article describes the stages of implementing the methodology, starting from planning and data collection to calibrating the results and using them to form a transformational roadmap. The application of the methodology in a number of CIS banks over the past 5 years has demonstrated its effectiveness in increasing transparency in managing digital initiatives and accelerating the achievement of strategic goals. The results of the study emphasise the importance of a systematic approach to managing digital maturity and adapting global models to the specifics of the local market.</p>
   </trans-abstract>
   <kwd-group xml:lang="ru">
    <kwd>agile зрелость</kwd>
    <kwd>банковский сектор</kwd>
    <kwd>цифровая трансформация</kwd>
    <kwd>DevOps процессы</kwd>
    <kwd>HR показатели</kwd>
    <kwd>бизнес метрики</kwd>
    <kwd>цифровая зрелость</kwd>
    <kwd>оценка эффективности</kwd>
    <kwd>оптимизация процессов</kwd>
    <kwd>клиентские метрики</kwd>
   </kwd-group>
   <kwd-group xml:lang="en">
    <kwd>agile maturity</kwd>
    <kwd>banking sector</kwd>
    <kwd>digital transformation</kwd>
    <kwd>DevOps processes</kwd>
    <kwd>HR indicators</kwd>
    <kwd>business metrics</kwd>
    <kwd>digital maturity</kwd>
    <kwd>efficiency assessment</kwd>
    <kwd>process optimisation</kwd>
    <kwd>customer metrics.</kwd>
   </kwd-group>
  </article-meta>
 </front>
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