<?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>1390-8618</journal-id>
<journal-title><![CDATA[RETOS. Revista de Ciencias de la Administración y Economía]]></journal-title>
<abbrev-journal-title><![CDATA[Retos]]></abbrev-journal-title>
<issn>1390-8618</issn>
<publisher>
<publisher-name><![CDATA[Universidad Politécnica Salesiana]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1390-86182019000100161</article-id>
<article-id pub-id-type="doi">10.17163/ret.n17.2019.10</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Análisis cualitativo de los determinantes de la innovación en una economía emergente]]></article-title>
<article-title xml:lang="en"><![CDATA[Qualitative approach about innovation determinants in an emerging economy]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Del Carpio-Gallegos]]></surname>
<given-names><![CDATA[Javier]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Miralles]]></surname>
<given-names><![CDATA[Francesc]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad ESAN  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Perú</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad Ramon Llull  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>España</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2019</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2019</year>
</pub-date>
<volume>9</volume>
<numero>17</numero>
<fpage>161</fpage>
<lpage>175</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_arttext&amp;pid=S1390-86182019000100161&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_abstract&amp;pid=S1390-86182019000100161&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://scielo.senescyt.gob.ec/scielo.php?script=sci_pdf&amp;pid=S1390-86182019000100161&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen  Las empresas de manufactura se esfuerzan por ser innovadoras y, de esta manera, ser competitivas en el mercado. Estas empresas son muy importantes en una economía emergente debido a su contribución al Producto Interno Bruto y a la generación de puestos de trabajo para la población. Por ello, el objetivo de este estudio es identificar cuáles son los factores internos y externos que mejoran la capacidad de innovación de las empresas peruanas de manufactura y, a su vez, favorecen su competitividad. Para ello, se aplicó un enfoque cualitativo basado en el «modelo de las seis C» de Glaser, que forma parte de la teoría fundamentada, y se entrevistó a gerentes de las empresas de manufactura peruanas. A partir del análisis y procesamiento de estos datos con el software de análisis cualitativo (QDA) Atlas ti®, se encontró que los proveedores y los clientes proporcionan valiosa información para innovar, y que la aplicación del diseño y la adquisición de maquinaria favorecen las innovaciones de estas empresas. En esa medida, el presente estudio contribuye a identificar aquellos factores que ayudan a las empresas de manufactura peruanas a mejorar su capacidad de innovación. Así, los gerentes de las empresas de manufactura deben identificar aquellos factores que favorecen la implementación de innovaciones y, de esta manera, lograrán que sus empresas sean más competitivas.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract  Manufacturing companies strive to be innovative and competitive. These companies are very important in an emerging economy due to their contribution to a country&#8217;s gross domestic product and the generation of jobs. Therefore, the objective of this article is to identify the internal and external factors that improve the innovation capacity of Peruvian manufacturing companies and, in turn, favor their competitiveness. A qualitative approach was applied based on the Glaser «six-C model», which is part of the grounded theory; for this, the managers of the Peruvian manufacturing companies were interviewed. From the analysis and processing of this data with Atlas ti® qualitative analysis software (QDA), it was found that suppliers and customers provide valuable information to innovate; additionally, the application of the design and the acquisition of machinery favor the innovations of these companies. To that extent, this qualitative study contributes to identify those factors that help Peruvian manufacturing companies improve their innovation capacity. Thus, manufacturing companies&#8217; managers must identify those factors that favor the implementation of innovations to make their companies more competitive.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Innovación]]></kwd>
<kwd lng="es"><![CDATA[análisis cualitativo]]></kwd>
<kwd lng="es"><![CDATA[manufactura]]></kwd>
<kwd lng="es"><![CDATA[economía emergente]]></kwd>
<kwd lng="es"><![CDATA[desarrollo tecnológico]]></kwd>
<kwd lng="es"><![CDATA[teoría fundamentada]]></kwd>
<kwd lng="en"><![CDATA[Innovation]]></kwd>
<kwd lng="en"><![CDATA[qualitative analysis]]></kwd>
<kwd lng="en"><![CDATA[manufacturing]]></kwd>
<kwd lng="en"><![CDATA[emerging economies]]></kwd>
<kwd lng="en"><![CDATA[technological development]]></kwd>
<kwd lng="en"><![CDATA[grounded theory]]></kwd>
</kwd-group>
</article-meta>
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