<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>1317-0570</journal-id>
<journal-title><![CDATA[Telos]]></journal-title>
<abbrev-journal-title><![CDATA[Telos]]></abbrev-journal-title>
<issn>1317-0570</issn>
<publisher>
<publisher-name><![CDATA[Universidad Dr. Rafael Belloso Chacín]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1317-05702025000300836</article-id>
<article-id pub-id-type="doi">10.36390/telos273.04</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[INFLUENCE OF DIGITAL HR TECHNOLOGIES ON CORPORATE PRODUCTIVITY WITHIN THE FRAMEWORK OF ECONOMIC DIGITALIZATION]]></article-title>
<article-title xml:lang="es"><![CDATA[Influencia de las Tecnologías Digitales de RRHH en la Productividad Empresarial en el Marco de la Digitalización Económica]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Alamanova]]></surname>
<given-names><![CDATA[Chinara]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Parmanasova]]></surname>
<given-names><![CDATA[Aisulu]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Trebyk]]></surname>
<given-names><![CDATA[Liudmyla]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Liu]]></surname>
<given-names><![CDATA[Hongtao]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rahimberdiev]]></surname>
<given-names><![CDATA[Talant]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Faculty, Kyrgyz National University named after Jusup Balasagyn  ]]></institution>
<addr-line><![CDATA[Bishkek ]]></addr-line>
<country>Kyrgyzstan</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Kyrgyz National University named after Jusup Balasagyn  ]]></institution>
<addr-line><![CDATA[Bishkek ]]></addr-line>
<country>Kyrgyzstan</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Leonid Yuzhkov University of Administration and Law  ]]></institution>
<addr-line><![CDATA[Khmelnytskyi ]]></addr-line>
<country>Ukraine</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Kyrgyz National University named after Jusup Balasagyn  ]]></institution>
<addr-line><![CDATA[Bishkek ]]></addr-line>
<country>Kyrgyzstan</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Kyrgyz National University named after Jusup Balasagyn  ]]></institution>
<addr-line><![CDATA[Bishkek ]]></addr-line>
<country>Kyrgyzstan</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<volume>27</volume>
<numero>3</numero>
<fpage>836</fpage>
<lpage>844</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_arttext&amp;pid=S1317-05702025000300836&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_abstract&amp;pid=S1317-05702025000300836&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://ve.scielo.org/scielo.php?script=sci_pdf&amp;pid=S1317-05702025000300836&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[ABSTRACT The purpose of the study is to evaluate the influence of digital technologies on labor productivity at both global and corporate levels, while considering the distinct economic development contexts of various countries. The study employs methods such as correlation and regression analysis, alongside 19 case studies. The investigation identified key determinants of labor productivity at the macroeconomic level across three dimensions: institutional efficacy, human capital, and technology adoption. These determinants encompass the quality of the regulatory environment, the assimilation of digital technologies, the prevalence of fixed broadband subscriptions, and the overall ease of conducting business. In the current study, the above factors are manifested through indicators such as Regulatory Quality, Digital Adoption Index, Fixed Broadband Subscriptions, and Ease of Doing Business. Notably, the Digital Adoption Index and Regulatory Quality exerted the most substantial influence, as evidenced by a one-unit increase in these variables correlating with labor productivity surging by 76.95 and 13.28, respectively. Furthermore, the strong correlation between the projected evolution of the human resources management market and the sectors of artificial intelligence and analytics in personnel management was substantiated. The findings revealed a comparative analysis of implementing digital HR technologies within companies across countries with different levels of development. It was shown that developed countries leverage these technologies with a more strategic orientation, while developing nations tend to prioritize operational efficiency and adaptation to crises. The insights obtained can be utilized at the macroeconomic level to inform policy directions aimed at increasing labor productivity, and at the microeconomic level for the formulation of robust human resource management strategies.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[RESUMEN El propósito del estudio es evaluar la influencia de las tecnologías digitales en la productividad laboral, tanto a nivel global como corporativo, considerando los distintos contextos de desarrollo económico de varios países. El estudio emplea métodos como análisis de correlación y regresión, junto con estudios de caso (19). La investigación identificó determinantes clave de la productividad laboral a nivel macroeconómico en tres dimensiones: eficacia institucional, capital humano y adopción de tecnología. Estos determinantes abarcan la calidad del entorno regulatorio, la asimilación de tecnologías digitales, la prevalencia de suscripciones de banda ancha fija y la facilidad general para realizar negocios. En el presente estudio, los factores mencionados se manifiestan a través de indicadores como la Calidad Regulatoria, el Índice de Adopción Digital, las Suscripciones de Banda Ancha Fija y la Facilidad para Hacer Negocios. Cabe destacar que el Índice de Adopción Digital y la Calidad Regulatoria ejercieron la influencia más sustancial, como lo demuestra un aumento de una unidad en estas variables, correlacionado con un aumento de la productividad laboral de 76.95 y 13.28, respectivamente. Además, se corroboró la fuerte correlación entre la evolución proyectada del mercado de gestión de recursos humanos y los sectores de la inteligencia artificial y la analítica en la gestión de personal. Los hallazgos revelaron un análisis comparativo de la implementación de tecnologías digitales de RR. HH. en empresas de países con diferentes niveles de desarrollo. Se demostró que los países desarrollados utilizan estas tecnologías con una orientación más estratégica, mientras que los países en desarrollo tienden a priorizar la eficiencia operativa y la adaptación a las crisis. Los conocimientos obtenidos pueden utilizarse a nivel macroeconómico para orientar las políticas destinadas a aumentar la productividad laboral, y a nivel microeconómico para la formulación de estrategias sólidas de gestión de recursos humanos.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[digital HR technologies]]></kwd>
<kwd lng="en"><![CDATA[labor productivity]]></kwd>
<kwd lng="en"><![CDATA[economic digitalization]]></kwd>
<kwd lng="en"><![CDATA[artificial intelligence]]></kwd>
<kwd lng="en"><![CDATA[predictive analytics]]></kwd>
<kwd lng="en"><![CDATA[automation]]></kwd>
<kwd lng="es"><![CDATA[Tecnologías de RR.HH. digitales]]></kwd>
<kwd lng="es"><![CDATA[productividad laboral]]></kwd>
<kwd lng="es"><![CDATA[digitalización económica]]></kwd>
<kwd lng="es"><![CDATA[inteligencia artificial]]></kwd>
<kwd lng="es"><![CDATA[análisis predictivo]]></kwd>
<kwd lng="es"><![CDATA[automatización]]></kwd>
</kwd-group>
</article-meta>
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