<?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>1665-5346</journal-id>
<journal-title><![CDATA[Revista mexicana de economía y finanzas]]></journal-title>
<abbrev-journal-title><![CDATA[Rev. mex. econ. finanz]]></abbrev-journal-title>
<issn>1665-5346</issn>
<publisher>
<publisher-name><![CDATA[Instituto Mexicano de Ejecutivos de Finanzas A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S1665-53462020000500589</article-id>
<article-id pub-id-type="doi">10.21919/remef.v15i0.548</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[How can Big Data contribute to improve the financial performance of companies?]]></article-title>
<article-title xml:lang="es"><![CDATA[¿Cómo puede contribuir el Big Data a mejorar el rendimiento financiero de las empresas?]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Delfino Barilla]]></surname>
<given-names><![CDATA[Cinzia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Lastarria Reynoso]]></surname>
<given-names><![CDATA[Lucia]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad del Pacífico  ]]></institution>
<addr-line><![CDATA[Lima ]]></addr-line>
<country>Peru</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>00</month>
<year>2020</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>00</month>
<year>2020</year>
</pub-date>
<volume>15</volume>
<numero>spe</numero>
<fpage>589</fpage>
<lpage>598</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S1665-53462020000500589&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S1665-53462020000500589&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S1665-53462020000500589&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract Objective: We propose a comprehensive methodology that combines a set of Big Data Analytics tools (BDA) with prospective analysis, risk analysis and strategic analysis with the aim to improve the firm&#8217;s financial performance measured through Key Performance Indicators (KPIs). Methodology: The methodology consists of five (5) stages: financial modeling, prospective analysis, risk analysis that includes BDA, strategic analysis and monitoring Results: This methodology allows directing the BDA towards the characterization of the critical variables that create value for the company, designing contingent strategies and evaluating their impact on the selected financial indicators (KPI) all this in a multidimensional way Recommendations: We require constant monitoring to generate different forms of innovation and flexibility in the company and improve its financial performance. Limitations: The success of the methodology depends on the company&#8217;s ability to improve, adapt, adjust, or innovate to gain, sustain, or reconfigure a competitive advantage. This skill is called process oriented dynamic capabilities (PODC) Originality: The proposed methodology is comprehensive since it allows the inclusion of various areas of the company in order to improve its financial performance represented by the KPIs. Furthermore, the analysis can be performed for specific areas and business units. Conclusions: The proposed methodology promotes innovation and flexibility that will improve the financial performance of the company as long as there is a good fit among Big Data activities, the organizational structure, the commitment of senior management and support for the development of PODC.]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Objetivo: Proponemos una metodología integral que combina un conjunto de herramientas del análisis de Big Data (BDA) con el análisis prospectivo, análisis de riesgo y análisis estratégico con la finalidad de mejorar el desempeño financiero de la empresa medido a través de Key Performance Indicators (KPI) Metodología: La metodología está compuesta por cinco (5) etapas: modelación financiera, prospectiva, análisis de riesgo que incluye BDA, análisis estratégico y monitoreo Resultados: Esta metodología permite dirigir el BDA hacia la caracterización de las variables críticas que crean valor para la empresa, diseñar estrategias contingentes y evaluar su impacto en los indicadores financieros seleccionados (KPI) todo esto de forma multidimensional. Recomendación: Se requiere un monitoreo constante del modelo para generar diferentes formas de innovación y flexibilidad en la empresa y mejorar su desempeño financiero. Limitación: El éxito de la metodología depende de la habilidad de la empresa para mejorar, adaptarse, ajustarse o innovar para ganar, sostener o reconfigurar una ventaja competitiva. A esta habilidad se le denomina capacidades dinámicas orientadas a procesos (PODC) Originalidad: La metodología propuesta es integral ya que permite la inclusión de diversas áreas de la empresa con el objetivo de mejorar su desempeño financiero representado por los KPIs. Asimismo, el análisis se puede realizar para áreas específicas y unidades de negocio. Conclusión: La metodología propuesta promueve la innovación y la flexibilidad que mejorarán el desempeño financiero de la compañía siempre que exista un buen ajuste entre las actividades de Big Data, la estructura organizacional, el compromiso de la alta gerencia y el apoyo para el desarrollo de PODC.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Information Technology Management]]></kwd>
<kwd lng="en"><![CDATA[Big Data Analytics]]></kwd>
<kwd lng="es"><![CDATA[Gestión de tecnologías de la información]]></kwd>
<kwd lng="es"><![CDATA[Análisis de Big Data]]></kwd>
</kwd-group>
</article-meta>
</front><back>
<ref-list>
<ref id="B1">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Acito]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Khatri]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Business analytics: why not? and what next?]]></article-title>
<source><![CDATA[Business Horizons]]></source>
<year>2014</year>
<volume>57</volume>
<page-range>565-70</page-range></nlm-citation>
</ref>
<ref id="B2">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Aydiner]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Tatoglu]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Bayraktar]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
<name>
<surname><![CDATA[Zaim]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Delen]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Business analytics and firm performance: The mediating role of business process performance]]></article-title>
<source><![CDATA[Journal of Business Research]]></source>
<year>2019</year>
<volume>96</volume>
<page-range>228-37</page-range></nlm-citation>
</ref>
<ref id="B3">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Bilal]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Oyedele]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Kusimo]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Owolabi]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Akanbi]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Ajayi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Akinade]]></surname>
<given-names><![CDATA[O.]]></given-names>
</name>
<name>
<surname><![CDATA[Delgado]]></surname>
<given-names><![CDATA[J. M.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Investigating profitability performance of construction projects using big data: A project analytics approach]]></article-title>
<source><![CDATA[Journal of Building Engineering]]></source>
<year>2019</year>
<volume>26</volume>
<page-range>1-11</page-range></nlm-citation>
</ref>
<ref id="B4">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Caputo]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
<name>
<surname><![CDATA[Mazzoleni]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Pillicelli]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Muller]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Over the mask of innovation management in the world of Big Data]]></article-title>
<source><![CDATA[Journal of Business Research]]></source>
<year>2019</year>
</nlm-citation>
</ref>
<ref id="B5">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Corte-Real]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Ruivo]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Oliveira]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Leveraging internet of things and big data analytics initiatives in European and American firms: Is data quality a way to extract business value?]]></article-title>
<source><![CDATA[Information and Management]]></source>
<year>2019</year>
<volume>57</volume>
<page-range>1-16</page-range></nlm-citation>
</ref>
<ref id="B6">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Corte-Real]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Ruivo]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Oliveira]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Popovic]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Unlocking the drivers of big data analytics value in firms]]></article-title>
<source><![CDATA[Journal of Business Research]]></source>
<year>2019</year>
<volume>97</volume>
<page-range>160-73</page-range></nlm-citation>
</ref>
<ref id="B7">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gepp]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Linnenluecke]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[O&#8217;Neill]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Smith]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data techniques in auditing research and practice: Current trends and future opportunities]]></article-title>
<source><![CDATA[Journal of Accounting Literature]]></source>
<year>2018</year>
<volume>40</volume>
<page-range>102-15</page-range></nlm-citation>
</ref>
<ref id="B8">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Cao]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Duan]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[El Banna]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A dynamic capability view of marketing analytics: Evidence from UK firms]]></article-title>
<source><![CDATA[Industrial Marketing Management]]></source>
<year>2019</year>
<volume>76</volume>
<page-range>72-83</page-range></nlm-citation>
</ref>
<ref id="B9">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dong]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
<name>
<surname><![CDATA[Yang]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Business value of big data analytics: A systems-theoretic approach and empirical test]]></article-title>
<source><![CDATA[Information and Management]]></source>
<year>2019</year>
<volume>57</volume>
<page-range>1-9</page-range></nlm-citation>
</ref>
<ref id="B10">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Duan]]></surname>
<given-names><![CDATA[Y.]]></given-names>
</name>
<name>
<surname><![CDATA[Cao]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Edwards]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Understanding the impact of business analytics on innovation]]></article-title>
<source><![CDATA[European Journal of Operational Research]]></source>
<year>2019</year>
<volume>281</volume>
<page-range>673-86</page-range></nlm-citation>
</ref>
<ref id="B11">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Dubey]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Gunasekaran]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Childe]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Bryde]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Giannakis]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Foropon]]></surname>
<given-names><![CDATA[C.]]></given-names>
</name>
<name>
<surname><![CDATA[Roubaud]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Hazen]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations]]></article-title>
<source><![CDATA[International Journal of Production Economics]]></source>
<year>2019</year>
<volume>226</volume>
<page-range>1-12</page-range></nlm-citation>
</ref>
<ref id="B12">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Elgendy]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
<name>
<surname><![CDATA[Elragal]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data analytics in support of the decision making process]]></article-title>
<source><![CDATA[Procedia Computer Science]]></source>
<year>2016</year>
<volume>100</volume>
<page-range>1071-84</page-range></nlm-citation>
</ref>
<ref id="B13">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Elia]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Polimeno]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Solazzo]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Passiante]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[A multi-dimension framework for value creation through big data]]></article-title>
<source><![CDATA[Industrial Marketing Management]]></source>
<year>2020</year>
</nlm-citation>
</ref>
<ref id="B14">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Ghasemaghaei]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Calic]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Can big data improve firm decision quality? The role of data quality and data diagnosticity]]></article-title>
<source><![CDATA[Decision Support Systems]]></source>
<year>2019</year>
<volume>120</volume>
<page-range>38-49</page-range></nlm-citation>
</ref>
<ref id="B15">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Gunther]]></surname>
<given-names><![CDATA[W.]]></given-names>
</name>
<name>
<surname><![CDATA[Mehrizi]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Huysman]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Feldberg]]></surname>
<given-names><![CDATA[F.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Debating big data: A literature review on realizing value from big data]]></article-title>
<source><![CDATA[The Journal of Strategic Information Systems]]></source>
<year>2017</year>
<volume>26</volume>
<page-range>191-209</page-range></nlm-citation>
</ref>
<ref id="B16">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Maroufkhani]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Tseng]]></surname>
<given-names><![CDATA[M-L.]]></given-names>
</name>
<name>
<surname><![CDATA[Iranmanesh]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Wan Ismailf]]></surname>
<given-names><![CDATA[W. K.]]></given-names>
</name>
<name>
<surname><![CDATA[Khalid]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data analytics adoption: Determinants and performances among small to medium-sized enterprises]]></article-title>
<source><![CDATA[International Journal of Information Management]]></source>
<year>2020</year>
<volume>55</volume>
<page-range>1-15</page-range></nlm-citation>
</ref>
<ref id="B17">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mikalef]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Boura]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Lekakos]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Krogstie]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data analytics and firm performance: Findings from a mixed-method approach,]]></article-title>
<source><![CDATA[Journal of Business Research]]></source>
<year>2019</year>
<volume>98</volume>
<page-range>261-76</page-range></nlm-citation>
</ref>
<ref id="B18">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Merendino]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Dibb]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Meadows]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Quinn]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Wilson]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Simkin]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Canhoto]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data, big decisions: The impact of big data on board level decision-making,]]></article-title>
<source><![CDATA[Journal of Business Research]]></source>
<year>2018</year>
<volume>93</volume>
<page-range>67-78</page-range></nlm-citation>
</ref>
<ref id="B19">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Mongrut]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Juarez]]></surname>
<given-names><![CDATA[N.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Valuation of Start-ups: A Behavioral and Strategic Perspective]]></article-title>
<source><![CDATA[Mexican Journal of Economics and Finance]]></source>
<year>2018</year>
<volume>13</volume>
<page-range>419-39</page-range></nlm-citation>
</ref>
<ref id="B20">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Nguyen]]></surname>
<given-names><![CDATA[T.]]></given-names>
</name>
<name>
<surname><![CDATA[Zhou]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
<name>
<surname><![CDATA[Spiegler]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
<name>
<surname><![CDATA[Ieromonachou]]></surname>
<given-names><![CDATA[P.]]></given-names>
</name>
<name>
<surname><![CDATA[Yong]]></surname>
<given-names><![CDATA[L.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data analytics in supply chain management: A state-of-the-art literature review]]></article-title>
<source><![CDATA[Computers and Operations Research]]></source>
<year>2018</year>
<volume>98</volume>
<page-range>254-64</page-range></nlm-citation>
</ref>
<ref id="B21">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Janssen]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Van der Voort]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
<name>
<surname><![CDATA[Wahyudi]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Factors influencing big data decision-making quality]]></article-title>
<source><![CDATA[Journal of Business Research]]></source>
<year>2017</year>
<volume>70</volume>
<page-range>338-45</page-range></nlm-citation>
</ref>
<ref id="B22">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Shin]]></surname>
<given-names><![CDATA[B.]]></given-names>
</name>
<name>
<surname><![CDATA[Kim]]></surname>
<given-names><![CDATA[K.]]></given-names>
</name>
<name>
<surname><![CDATA[Lee]]></surname>
<given-names><![CDATA[H.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[IT Capabilities, Process-Oriented Dynamic Capabilities, and Firm Financial Performance]]></article-title>
<source><![CDATA[Journal of the Association for Information Systems]]></source>
<year>2011</year>
<volume>12</volume>
<page-range>487-517</page-range></nlm-citation>
</ref>
<ref id="B23">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Rezaee]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[J.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data, big impact on accounting, Hong Kong Institute of Certified Accountants]]></article-title>
<source><![CDATA[APlus]]></source>
<year>2017</year>
</nlm-citation>
</ref>
<ref id="B24">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Raguseo]]></surname>
<given-names><![CDATA[E.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data technologies: An empirical investigation on their adoption, benefits and risks for companies]]></article-title>
<source><![CDATA[International Journal of Information Management]]></source>
<year>2018</year>
<volume>38</volume>
<page-range>187-95</page-range></nlm-citation>
</ref>
<ref id="B25">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Shi]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Wang]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Integration of big-data ERP and business analytics (BA)]]></article-title>
<source><![CDATA[Journal of High Technology Management Research]]></source>
<year>2018</year>
<volume>29</volume>
<page-range>141-50</page-range></nlm-citation>
</ref>
<ref id="B26">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Sivarajah]]></surname>
<given-names><![CDATA[U.]]></given-names>
</name>
<name>
<surname><![CDATA[Kamal]]></surname>
<given-names><![CDATA[M.]]></given-names>
</name>
<name>
<surname><![CDATA[Irani]]></surname>
<given-names><![CDATA[Z.]]></given-names>
</name>
<name>
<surname><![CDATA[Weerakkody]]></surname>
<given-names><![CDATA[V.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Critical analysis of Big Data challenges and analytical methods]]></article-title>
<source><![CDATA[Journal of Business Research]]></source>
<year>2017</year>
<volume>70</volume>
<page-range>263-86</page-range></nlm-citation>
</ref>
<ref id="B27">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wamba]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Akter]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Edwards]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Chopin]]></surname>
<given-names><![CDATA[G.]]></given-names>
</name>
<name>
<surname><![CDATA[Gnanzou]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[How &#8216;big data&#8217; can make big impact: Findings from a systematic review and a longitudinal case study]]></article-title>
<source><![CDATA[International Journal of Production Economics]]></source>
<year>2015</year>
<volume>165</volume>
<page-range>234-46</page-range></nlm-citation>
</ref>
<ref id="B28">
<nlm-citation citation-type="journal">
<person-group person-group-type="author">
<name>
<surname><![CDATA[Wamba]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Gunasekaran]]></surname>
<given-names><![CDATA[A.]]></given-names>
</name>
<name>
<surname><![CDATA[Akter]]></surname>
<given-names><![CDATA[S.]]></given-names>
</name>
<name>
<surname><![CDATA[Steven]]></surname>
<given-names><![CDATA[R.]]></given-names>
</name>
<name>
<surname><![CDATA[Rameshwar]]></surname>
<given-names><![CDATA[D.]]></given-names>
</name>
<name>
<surname><![CDATA[Stephen]]></surname>
<given-names><![CDATA[Ch.]]></given-names>
</name>
</person-group>
<article-title xml:lang=""><![CDATA[Big data analytics and firm performance: Effects of dynamic capabilities]]></article-title>
<source><![CDATA[Journal of Business Research]]></source>
<year>2017</year>
<volume>70</volume>
<page-range>356-65</page-range></nlm-citation>
</ref>
</ref-list>
</back>
</article>
