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dc.creatorQuintero J.B.
dc.creatorVillanueva D.M.
dc.creatorManrique-Losada B.
dc.date2020
dc.date.accessioned2021-02-05T14:57:46Z
dc.date.available2021-02-05T14:57:46Z
dc.identifier.isbn9789895465903
dc.identifier.issn21660727
dc.identifier.urihttp://hdl.handle.net/11407/5908
dc.descriptionThe accelerated advance of Information Technologies (IT) has led organizations facing new challenges in IT governance, as key elements for corporate strategy. A clear example is the decision-making regarding the acquisition, adoption, or implementation of technological platforms, where managers should consider whether they make large investments in software, training, and workforce. For this reason, it is important to be sure that the platform that is being used and the project types are being carried out, do correspond to the true vocation and profile of the organization. However, the proliferation of platforms and their heterogeneity increase the uncertainty in these decisions. This article presents a framework to identify the IT profile of a project or an organization, based on six defined categories: Software development, Platform integration, Business process management, Internet of things, Data analytics, and Open ecosystems of Artificial Intelligence. As an evaluation of the framework, an application case is presented in a company in the health area, within a technological project aimed at improving customer service throughout its area of influence (Colombia). We apply experimental instruments to identify the dominant profiles by units of the company and the roles representativeness involved. © 2020 AISTI.
dc.language.isospa
dc.publisherIEEE Computer Society
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85089018274&doi=10.23919%2fCISTI49556.2020.9140925&partnerID=40&md5=210bc254c4e4167453c3d7b11518feab
dc.sourceIberian Conference on Information Systems and Technologies, CISTI
dc.subjectBusiness processes managementspa
dc.subjectIT governmentspa
dc.subjectprojects profilingspa
dc.titleA framework to profile corporate projects [Framework para perfilar proyectos corporativos]
dc.typeConference Papereng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería de Sistemasspa
dc.identifier.doi10.23919/CISTI49556.2020.9140925
dc.subject.keywordArtificial intelligenceeng
dc.subject.keywordData Analyticseng
dc.subject.keywordDecision makingeng
dc.subject.keywordEmploymenteng
dc.subject.keywordEnterprise resource managementeng
dc.subject.keywordInformation systemseng
dc.subject.keywordInformation useeng
dc.subject.keywordPersonnel trainingeng
dc.subject.keywordSoftware designeng
dc.subject.keywordBusiness process managementeng
dc.subject.keywordCorporate strategieseng
dc.subject.keywordCustomer serviceseng
dc.subject.keywordIT governanceeng
dc.subject.keywordKey elementseng
dc.subject.keywordPlatform integrationseng
dc.subject.keywordTechnological platformeng
dc.subject.keywordTechnological projectseng
dc.subject.keywordInformation managementeng
dc.relation.citationvolume2020-June
dc.publisher.facultyFacultad de Ingenieríasspa
dc.affiliationQuintero, J.B., Universidad de Medellín, Facultad de Ingeniería, Medellín, Colombia
dc.affiliationVillanueva, D.M., Universidad de Medellín, Facultad de Ingeniería, Medellín, Colombia
dc.affiliationManrique-Losada, B., Universidad de Medellín, Facultad de Ingeniería, Medellín, Colombia
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/other


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