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Characterization Of Enterprises In The Dominican Republic From Business Intelligence Techniques

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dc.contributor.authorGuerrero Buelvas, Camilo Manuel
dc.contributor.authorHernandez Henrriquez, Cindy Paola
dc.contributor.authorMendez, I.A.
dc.contributor.authorSierra, J.E
dc.contributor.researchgroupEstudios Socioeconómicos, Administrativos y Contables
dc.date.accessioned2025-08-27T22:25:15Z
dc.date.issued2023
dc.description.abstractThe Dominican Republic has more than 1.200.000 Micro, Small and Medium Enterprises (MSMEs) in different Economic Sectors. Although the State recognizes the value that these have for the economic development of the country, there is no systematized and automated characterization that allows for an analysis that helps decision­making. This article shows the results when applying Business Intelligence Techniques for the characterization of Enterprises, taking into account the Systematization of Information through a web application. In this sense, 179 Micro, Small and Medium­sized Enterprises were analyzed, using an instrument that allowed knowing different variables associated with the economic development of each of the Enterprises. Results show the incidence of different factors in the generation of income for the Enterprise.eng
dc.description.researchareaDesarrollo regional y gestión de la política pública en el marco de una cultura de paz y en tiempo de transformación.
dc.description.researchareaEconomía Informal y Pobreza
dc.description.researchareaGestión de la productividad y el emprendimiento para la competitividad
dc.description.researchareaHistoria empresarial y gestión educativa en las ciencias económicas y administrativas
dc.description.researchareaPerspectiva económica, política y sociocultural de desarrollo sostenible del sector turístico
dc.description.researchareaSistema de Información en el Campo de las Ciencias Económicas
dc.format.extent11 páginas
dc.format.mimetypeapplication/pdf
dc.identifier.citationC. Guerrero, A. Hernandez, I.A. Mendez & J.E. Sierra (2022). Characterization of Enterprises in the Dominican Republic from Business Intelligence Techniques. International Journal of Mathematics, Statistics and Operations Research. 2(1): pp. 1­11. https://DOI: 10.47509 / IJMSOR.2022.v02i01.01
dc.identifier.eissn1735-188
dc.identifier.urihttps://repositorio.cecar.edu.co/handle/cecar/10769
dc.language.isoeng
dc.publisher.placeColombia
dc.relation.citationendpage11
dc.relation.citationissue1
dc.relation.citationstartpage1
dc.relation.citationvolume2
dc.relation.ispartofjournalWebology
dc.relation.referencesSBDCGlobal, “SBDCGlobal.com,” Connecting small business to the world, 2020. https://www.sbdcglobal.com/ (accessed Apr. 25, 2020).
dc.relation.referencesS. Yucel, “Modeling digital business strategy,” in Proceedings ­ 2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018, Dec. 2018, pp. 209–214, doi: 10.1109/CSCI46756.2018.00047.
dc.relation.referencesL. and J. L. A. Calzada, “The impact of business intelligence tools in executive business decisions,” in International Journal of Good Conscience, 2009, [Online]. Available: http://www.spentamexico.org/v4­n2/4(2) 16­52.pdf.
dc.relation.referencesC. M. Nicolau, “The General Characteristics of Business Intelligence – A Literature Review,” SSRN Electron. J., Jan. 2012, doi: 10.2139/ssrn.1748473.
dc.relation.referencesS. Gharbi, H. Bellakhdar, and S. E. Mrabet, “Project based learning in business intelligence with intervention of companies,” in IEEE Global Engineering Education Conference, EDUCON, Apr. 2015, vol. 2015­April, pp. 384–387, doi: 10.1109/ EDUCON.2015.7096001.
dc.relation.referencesS. S. Patil and R. R. Chavan, “Cloud Business Intelligence: An Empirical study,” J. Xi’an Univ. Archit. Technol., no. II, pp. 12–15, 2020, [Online]. Available: https:// xajzkjdx.cn/gallery/2­feb2020.pdf.
dc.relation.references“Procesos ETL: Extracción, Transformación, Carga.” https://blog.powerdata.es/elvalor­de­la­gestion­de­datos/bid/288859/procesos­etl­extracci­n­transformaci­ncarga (accessed Feb. 26, 2020).
dc.rightsDerechos Reservados. Corporación Universitaria del Caribe – CECARspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2
dc.rights.licenseAtribución-NoComercial 4.0 Internacional (CC BY-NC 4.0)
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.sourceDOI:10.47509/IJMSOR.2022.v02i01.01
dc.titleCharacterization Of Enterprises In The Dominican Republic From Business Intelligence Techniqueseng
dc.typeArtículo de revista
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.contentText
dc.type.driverinfo:eu-repo/semantics/article
dc.type.redcolhttp://purl.org/redcol/resource_type/ART
dc.type.versioninfo:eu-repo/semantics/publishedVersion
dspace.entity.typePublication
relation.isAuthorOfPublication3bce6795-9e92-4f0c-80fd-acac16bf23bf
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relation.isAuthorOfPublication.latestForDiscovery3bce6795-9e92-4f0c-80fd-acac16bf23bf

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