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<journal-id journal-id-type="publisher-id">Russian Journal of Labour Economics</journal-id>
<journal-title-group>
<journal-title xml:lang="en">Russian Journal of Labour Economics</journal-title>
<trans-title-group xml:lang="ru">
<trans-title>Экономика труда</trans-title>
</trans-title-group>
</journal-title-group>
<issn publication-format="print">2410-1613</issn>
<issn publication-format="electronic">2412-8929</issn>
<publisher>
<publisher-name xml:lang="en">BIBLIO-GLOBUS Publishing House</publisher-name>
</publisher>
</journal-meta><article-meta>
<article-id pub-id-type="publisher-id">116857</article-id>
<article-id pub-id-type="doi">10.18334/et.10.1.116857</article-id>
<article-id custom-type="edn" pub-id-type="custom">URUVVY</article-id>
<article-categories>
<subj-group subj-group-type="toc-heading" xml:lang="en">
<subject>Articles</subject>
</subj-group>
<subj-group subj-group-type="toc-heading" xml:lang="ru">
<subject>Статьи</subject>
</subj-group>
<subj-group subj-group-type="article-type">
<subject>Research Article</subject>
</subj-group>
</article-categories>
<title-group>
<article-title xml:lang="en">New challenges in unstructured self-learning environment: the impact of context, networking and self-organization on digital human capital</article-title>
<trans-title-group xml:lang="ru">
<trans-title>Исследование вклада контекста, сетевой активности и самоорганизации в формирование человеческого капитала на основе самообучения в цифровой среде</trans-title>
</trans-title-group>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0001-9449-6323</contrib-id><contrib-id contrib-id-type="spin">9572-0090</contrib-id>
<name-alternatives>
<name xml:lang="en">
<surname>Chernenko</surname>
<given-names>Ilya Mikhaylovich</given-names>
</name>
<name xml:lang="ru">
<surname>Черненко</surname>
<given-names>Илья Михайлович</given-names>
</name>
</name-alternatives>
<bio xml:lang="ru">
<p>доцент кафедры экономики и управления на металлургических и машиностроительных предприятиях, кандидат экономических наук</p>
</bio>
<email>i.m.chernenko@urfu.ru</email>
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</contrib>

<contrib contrib-type="author">
<contrib-id contrib-id-type="orcid">https://orcid.org/0000-0003-3624-2506</contrib-id><contrib-id contrib-id-type="spin">9119-5366</contrib-id>
<name-alternatives>
<name xml:lang="en">
<surname>Pelymskaya</surname>
<given-names>Irina Sergeevna</given-names>
</name>
<name xml:lang="ru">
<surname>Пелымская </surname>
<given-names>Ирина Сергеевна</given-names>
</name>
</name-alternatives>
<bio xml:lang="ru">
<p>доцент кафедры экономики и управления на металлургических и машиностроительных предприятиях, кандидат экономических наук, доцент</p>
</bio>
<email>i.s.pelymskaya@mail.ru</email>
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</contrib>
</contrib-group><aff-alternatives id="aff1">
<aff>
<institution xml:lang="en">Ural Federal University named after the first President of Russia B.N.Yeltsin</institution>
</aff>
<aff>
<institution xml:lang="ru">Уральский федеральный университет им. первого Президента России Б.Н. Ельцина</institution>
</aff>
</aff-alternatives>        
        
<pub-date date-type="pub" iso-8601-date="2023-01-31" publication-format="print">
<day>31</day>
<month>01</month>
<year>2023</year>
</pub-date>
<volume>10</volume>
<issue>1</issue>
<issue-title xml:lang="en">VOL 10, NO1 (2023)</issue-title>
<issue-title xml:lang="ru">ТОМ 10, №1 (2023)</issue-title>
<fpage>135</fpage>
<lpage>156</lpage>
<history>
<date date-type="received" iso-8601-date="2022-12-02">
<day>02</day>
<month>12</month>
<year>2022</year>
</date>
<date date-type="accepted" iso-8601-date="2022-12-06">
<day>06</day>
<month>12</month>
<year>2022</year>
</date>
</history>

<permissions>
<copyright-statement xml:lang="en">Copyright ©; 2023, Chernenko I.M., Pelymskaya I.S.</copyright-statement>
<copyright-statement xml:lang="ru">Copyright ©; 2023, Черненко И.М., Пелымская И.С.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder xml:lang="en">Chernenko I.M., Pelymskaya I.S.</copyright-holder>
<copyright-holder xml:lang="ru">Черненко И.М., Пелымская И.С.</copyright-holder>
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<self-uri xlink:href="https://1economic.ru/lib/116857">https://1economic.ru/lib/116857</self-uri>
<abstract xml:lang="en"><p>Digitalization, on the one hand, significantly increases the volume of opportunities and alternative resources available for learning. However, on the other hand, it leads to a complication of the environment where learning takes place.
This, in turn, has a negative impact on the structure of the information, the effectiveness of the learning and the return on human capital investment. The purpose of this article is to test hypotheses about the impact of quantitative diversity in social, spatial and digital contexts, network activity and the ability to self-organize on the effectiveness of employees' self-learning in the digital environment. The methodology of contextualism, methods of factorial and regression analysis are used. The authors use data from a survey of 354 young professionals from the Sverdlovsk region under the age of 35.
The novelty of the study lies in the development of an approach to the measurement of explicit variables for the evaluation of theoretical constructs such as the effectiveness of self-learning, learning context, self-organization and network activity. To measure contextual diversity, a method for determining the number and types of contexts (spatial, digital and social) in which employees self-learn is proposed.
The results of the study showed that the number of spatial and numerical contexts does not affect the effectiveness of learning, whereas the social context, basic digital competences and the ability to self-organize are crucial for learning in a digital environment. The results of the study can be used by the creators and managers of educational programs to study the influence of a set of contextual variables on the effectiveness of training and the formation of human capital.</p>
</abstract>
<trans-abstract xml:lang="ru"><p>Цифровизация, с одной стороны, значительно повышает объем возможностей и альтернативных ресурсов, доступных для обучения, однако, с другой стороны, проблема в том, что она приводит к усложнению среды, в которой происходит обучение, что в свою очередь отрицательно влияет на структурированность информации, результативность обучения и отдачу от человеческого капитала. Целью данной статьи является проверка гипотез о влиянии количественного разнообразия в социальном, пространственном и цифровом контекстах, сетевой активности и способности к самоорганизации на результативность самообучения работников в цифровой среде. Используется методология контекстуализма, методы факторного и регрессионного анализа. Используются данные опроса 354 молодых специалистов из Свердловской области в возрасте до 35 лет. 
Новизна исследования состоит в разработке подхода к измерению явных переменных для оценки теоретических конструкций, таких как результативность самообучения, контекст обучения, самоорганизация и сетевая активность. Для измерения контекстного разнообразия предложен метод определения количества и типов контекстов (пространственных, цифровых и социальных), в которых проходит самообучение работников. 
Результаты исследования показали, что число пространственных и числовых контекстов не влияют на эффективность обучения, в то время как социальный контекст, базовые цифровые компетенции и способность к самоорганизации играют решающее значение для обучения в цифровой среде. Результаты исследования могут быть использованы создателями и менеджерами образовательных программ для исследования влияния набора контекстуальных переменных на результативность обучения и формирования человеческого капитала.</p>
</trans-abstract>
<kwd-group xml:lang="en">
<kwd>self-learning</kwd>
<kwd>digitalization</kwd>
<kwd>human capital</kwd>
<kwd>contextualism</kwd>
<kwd>network activity</kwd>
<kwd>self-organization</kwd></kwd-group><kwd-group xml:lang="ru">
<kwd>самообучение</kwd>
<kwd>цифровизация</kwd>
<kwd>человеческий капитал</kwd>
<kwd>контекстуализм</kwd>
<kwd>сетевая активность</kwd>
<kwd>самоорганизация</kwd></kwd-group>
</article-meta>
</front>
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