<?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>2007-5936</journal-id>
<journal-title><![CDATA[Psicumex]]></journal-title>
<abbrev-journal-title><![CDATA[Psicumex]]></abbrev-journal-title>
<issn>2007-5936</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Sonora, Consorcio de Universidades Mexicanas A,C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-59362025000100110</article-id>
<article-id pub-id-type="doi">10.36793/psicumex.v15i1.712</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Perspectivas Actuales en Procesos de Contratación en Software y Ciencia de Datos]]></article-title>
<article-title xml:lang="en"><![CDATA[Current Perspectives on Hiring Processes in Software and Data Science]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Martínez Manzanares]]></surname>
<given-names><![CDATA[María Elena]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Urias Paramo]]></surname>
<given-names><![CDATA[Jordan Joel]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Figueroa Preciado]]></surname>
<given-names><![CDATA[Gudelia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Waissman Vilanova]]></surname>
<given-names><![CDATA[Julio]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Sonora Departamento de Matemáticas ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</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>15</volume>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-59362025000100110&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-59362025000100110&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-59362025000100110&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen El presente estudio analiza los criterios clave en la evaluación de currículums vitae (CV) dentro de los procesos de selección de personal en los campos de software y ciencia de datos en México. El objetivo principal fue identificar las características más valoradas por los responsables de contratación. Se adoptó una metodología cualitativa basada en entrevistas semiestructuradas realizadas a nueve profesionales con experiencia en contratación en estos sectores. A través de la transcripción y codificación manual de entrevistas, se revelaron las preferencias y expectativas en torno a los atributos de un CV, destacando la importancia de habilidades comunicativas, experiencia laboral y conocimientos técnicos asociados al puesto. Además, se identificaron sesgos cognitivos comunes que influyen en la evaluación de candidatos, como el sesgo de confirmación y el efecto halo. Finalmente, se propone una estructura recomendada para CV que maximice su impacto positivo en los procesos de selección. La investigación destaca la necesidad de una mayor estandarización en los procesos de entrevista y selección, sugiriendo oportunidades de mejora mediante la adopción de taxonomías y evaluaciones sistemáticas para lograr una contratación más objetiva y eficaz.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This study examines the key criteria for evaluating résumés in the hiring processes within the software and data science sectors in Mexico. The main objective was to identify the most valued characteristics according to hiring professionals. The research employed a qualitative methodology based on semi-structured interviews conducted with nine professionals experienced in recruitment in these fields. Through manual transcription and coding of the interviews, the study revealed preferences and expectations regarding résumé attributes, highlighting the importance of communication skills, work experience, and technical knowledge relevant to the role. The analysis also identified common cognitive biases that influence candidate evaluations, such as confirmation bias and the halo effect. Additionally, the study proposes a recommended résumé structure designed to maximize its positive impact in selection processes. The findings emphasize the need for greater standardization in interviews and selection procedures, suggesting improvements through the adoption of taxonomies and systematic evaluations to achieve more objective and effective hiring practices.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[análisis cualitativo]]></kwd>
<kwd lng="es"><![CDATA[recursos humanos]]></kwd>
<kwd lng="es"><![CDATA[teoría de la decisión]]></kwd>
<kwd lng="es"><![CDATA[reclutamiento]]></kwd>
<kwd lng="es"><![CDATA[tecnología]]></kwd>
<kwd lng="en"><![CDATA[qualitative analysis]]></kwd>
<kwd lng="en"><![CDATA[human resources]]></kwd>
<kwd lng="en"><![CDATA[decision theory]]></kwd>
<kwd lng="en"><![CDATA[recruitment]]></kwd>
<kwd lng="en"><![CDATA[technology]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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