<?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>2528-7907</journal-id>
<journal-title><![CDATA[Revista San Gregorio]]></journal-title>
<abbrev-journal-title><![CDATA[Revista San Gregorio]]></abbrev-journal-title>
<issn>2528-7907</issn>
<publisher>
<publisher-name><![CDATA[Universidad San Gregorio de Portoviejo ]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2528-79072022000200036</article-id>
<article-id pub-id-type="doi">10.36097/rsan.v0i50.1981</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Reducción del estrés en el personal de empresas de servicios tecnológicos durante la pandemia por COVID-19 aplicando clustering]]></article-title>
<article-title xml:lang="en"><![CDATA[Reducing stress in technology service company personnel during the COVID-19 pandemic by apply clustering]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Urbina Nájera]]></surname>
<given-names><![CDATA[Argelia Berenice]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Hernández Calva]]></surname>
<given-names><![CDATA[Julio César]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Popular Autónoma del Estado de Puebla  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Popular Autónoma del Estado de Puebla  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>08</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>08</month>
<year>2022</year>
</pub-date>
<volume>1</volume>
<numero>50</numero>
<fpage>36</fpage>
<lpage>57</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_arttext&amp;pid=S2528-79072022000200036&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_abstract&amp;pid=S2528-79072022000200036&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_pdf&amp;pid=S2528-79072022000200036&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen En los últimos años las empresas viven con una diversidad generacional dentro de su medio laboral, siendo una de las razones por la que detonan diversos conflictos. El objetivo del estudio es desarrollar un sistema web que permita tomar acciones inmediatas para disminuir el estrés en los equipos de trabajo y aumentar la satisfacción de los trabajadores dentro de una empresa que brinda servicios de consultoría de TI, ubicada en la ciudad de México, con un equipo de trabajo de 112 personas. Se administró un cuestionario de clima laboral de 50 preguntas a todo el personal y para estimar el uso del sistema web se aplicó una prueba de usabilidad de Nielsen. Mediante el algoritmo k-medias se crearon equipos a partir de la generación a la que pertenece cada individuo. Los resultados permitieron al área administrativa crear una estrategia para reducir el estrés generado por el aislamiento de COVID-19 identificando que el sistema web contribuye de una forma sensible a prevenir el estrés o reducirlo]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract In recent years, companies live with generational diversity within their work environment, which is one reason that triggers various conflicts. The study's objective is to develop a web-based system that allows immediate actions to be taken to reduce stress in work teams and increase employee satisfaction within a company that provides IT consulting services located in Mexico City with a work team of 112 people. A 50-question work climate questionnaire was administered to all staff and a Nielsen usability test, using the k-means algorithm to create groups based on the generation to which each individual belongs. The results allowed the administrative area to create a strategy to reduce the stress generated by the isolation of COVID-19, identifying that this application contributes in a sensible way to prevent or reduce stress]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Aprendizaje automático]]></kwd>
<kwd lng="es"><![CDATA[Brechas Generacionales]]></kwd>
<kwd lng="es"><![CDATA[clima organizacional]]></kwd>
<kwd lng="es"><![CDATA[Estrés]]></kwd>
<kwd lng="es"><![CDATA[K-Medias]]></kwd>
<kwd lng="en"><![CDATA[Machine Learning]]></kwd>
<kwd lng="en"><![CDATA[Multi-Generational]]></kwd>
<kwd lng="en"><![CDATA[Organizational environment]]></kwd>
<kwd lng="en"><![CDATA[Stress]]></kwd>
<kwd lng="en"><![CDATA[K-Means]]></kwd>
</kwd-group>
</article-meta>
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