Modelo de madurez de adopción de las tecnologías de información para las universidades: Una aproximación desde el enfoque de Smart University

dc.contributor.advisorGuerrero, Cesar D.
dc.contributor.advisorMaestre Góngora, Gina Paola
dc.contributor.advisorCollazos Ordóñez, César Alberto
dc.contributor.authorRico Bautista, Dewar Willmer
dc.contributor.cvlacGuerrero, Cesar D. [0000809357]spa
dc.contributor.cvlacCollazos Ordóñez, César Alberto [0000232122]spa
dc.contributor.cvlacRico Bautista, Dewar Willmer [0000255815]spa
dc.contributor.googlescholarGuerrero, Cesar D. [YgBOOcAAAAJ]spa
dc.contributor.linkedinGuerrero, Cesar D. [cguerrer]
dc.contributor.orcidGuerrero, Cesar D. [0000-0002-3286-6226]spa
dc.contributor.orcidCollazos Ordóñez, César Alberto [0000-0002-7099-8131]spa
dc.contributor.orcidRico Bautista, Dewar Willmer [0000-0002-1808-3874]spa
dc.contributor.researchgateGuerrero, Cesar D. [Cesar-Guerrero-2]spa
dc.contributor.researchgateCollazos Ordóñez, César Alberto [Cesar-Collazos]spa
dc.contributor.researchgateRico Bautista, Dewar Willmer [Dewar-Rico-Bautista]spa
dc.coverage.campusUNAB Campus Bucaramangaspa
dc.coverage.spatialNorte de Santander (Colombia)spa
dc.date.accessioned2022-06-17T19:51:48Z
dc.date.available2022-06-17T19:51:48Z
dc.date.issued2022-06
dc.degree.nameDoctorado en Ingenieríaspa
dc.description.abstractUniversidad inteligente o Smart University, es un concepto fuertemente anclado a las tecnologías inteligentes, se centra en la mejora de su infraestructura tecnológica para lograr objetivos educativos de calidad. Las organizaciones, incluidas las universidades, necesitan adoptar las tecnologías inteligentes para aprovechar las capacidades que proporcionan para transformar sus procesos e impulsarlas hacia nuevos modelos organizativos. Un enfoque evolutivo para que una universidad actual progrese por niveles hacia una Smart University es propicio para un modelo de madurez. La gestión de la tecnología en las universidades repercute en la calidad de sus procesos académicos y administrativos. La revisión de la literatura permitió detectar un vacío de conocimiento porque esta perspectiva ha sido muy poco investigada y prevalecen las contribuciones descriptivas. Aunque los modelos de madurez son numerosos y ampliamente aplicables, existe poca documentación sobre cómo desarrollarlos. Hasta ahora, los académicos no suelen proporcionar directrices detalladas ni herramientas útiles para apoyar la adopción práctica de los modelos desarrollados en las universidades. Para contribuir a llenar este vacío, el objetivo de esta tesis fue diseñar un modelo de madurez bajo la hipótesis de que sería factible y una herramienta útil en la evolución del concepto de Smart University, en la adopción y gestión de tecnologías inteligentes y en el mejoramiento continuo. Esta tesis presenta la integración de los factores e indicadores clave para la adopción de cuatro tecnologías inteligentes: Computación en la nube, Big Data, Inteligencia Artificial, e Internet de las Cosas; plasmados en el diseño de un modelo de madurez, evaluado y aplicado en un caso de estudio en la Universidad Francisco de Paula Santander Ocaña. Se encontró que el modelo es útil, pertinente y aplicable para valorar el enfoque evolutivo de una universidad actual progrese hacia una Smart University. Se concluye sobre la necesidad de alineación de las tecnologías inteligentes con los procesos de la organización, exigiendo una mayor interacción con la alta dirección. Además de esta tesis, se obtuvieron 32 productos académicos. Se derivan un conjunto de recomendaciones para la investigación futura en un concepto en constante evolución.spa
dc.description.abstractenglishSmart University is a concept strongly related to smart technologies; it focuses on improving its technological infrastructure to achieve quality educational goals. Organizations, including universities, need to embrace smart technologies to leverage the capabilities they provide to transform their processes and drive them towards new organizational models. An evolutionary approach for a current university to progress in levels towards a smart university is conducive to a maturity model. Technology management in universities has an impact on the quality of their academic and administrative processes. The literature review revealed a knowledge gap since this perspective has been very little researched and descriptive contributions prevail. Although maturity models are numerous and widely applicable, there is little documentation on how to develop them. So far, academics often do not provide detailed guidelines or useful tools to support the practical adoption of the developed models in universities. To contribute to filling this gap, the objective of the present thesis was to design a maturity model under the hypothesis that it would be feasible and a useful tool in the evolution of the smart university concept, in the adoption and management of smart technologies, and continuous improvement. This thesis presents the integration of key factors and indicators for the adoption of four smart technologies: Cloud Computing, Big Data, Artificial Intelligence, and Internet of Things; embodied in the design of a maturity model, evaluated, and applied in a case study at the Universidad Francisco de Paula Santander Ocaña. It was found that the model is useful, relevant, and applicable to assess the evolutionary approach of current university progress towards an intelligent university. It concludes on the need for alignment of smart technologies with the processes of the organization, requiring greater interaction with senior management. In addition to this thesis, 32 academic products were obtained. A set of recommendations for future research in a constantly evolving concept are derived.spa
dc.description.degreelevelDoctoradospa
dc.description.learningmodalityModalidad Presencialspa
dc.description.tableofcontentsINTRODUCCIÓN ............................................................................................................... 1 1. PROBLEMA, PREGUNTA, HIPÓTESIS Y JUSTIFICACIÓN DE LA INVESTIGACIÓN ............................................................................................................... 4 1.1 PROBLEMA DE INVESTIGACIÓN .................................................................................................... 5 1.2 PREGUNTA DE INVESTIGACIÓN ................................................................................................... 11 1.3 HIPÓTESIS DE INVESTIGACIÓN ................................................................................................... 11 1.3.1 Hipótesis principal ..................................................................................................................... 11 1.4 JUSTIFICACIÓN DE LA INVESTIGACIÓN ................................................................................... 11 2. OBJETIVOS DE LA TESIS ..................................................................................... 15 2.1 OBJETIVO GENERAL ........................................................................................................................ 15 2.2 OBJETIVOS ESPECÍFICOS ............................................................................................................... 15 3. MARCO REFERENCIAL ........................................................................................ 16 3.1 MARCO CONCEPTUAL ..................................................................................................................... 17 3.1.1 Smartificación ........................................................................................................................... 18 3.1.2 Modelos de madurez ................................................................................................................. 20 3.1.3 Smart University ....................................................................................................................... 25 3.2 MARCO TEÓRICO .............................................................................................................................. 30 3.2.1 Adopción de tecnologías inteligentes ........................................................................................ 30 3.2.1.1 Problemática general ............................................................................................................ 31 3.2.1.2 La educación como área de enfoque principal ...................................................................... 31 3.2.1.3 Adopción clave para la transición a una Smart University ................................................... 32 3.2.2 Madurez de la adopción de tecnologías inteligentes ................................................................. 32 3.2.2.1 Problemática general ............................................................................................................ 33 3.2.2.2 Modelos de gestión y tecnológico en las universidades ....................................................... 33 3.2.2.3 Mejoramiento continuo hacia una Smart University............................................................. 33 3.2.3 Diseño centrado en el usuario .................................................................................................... 35 3.2.3.1 Problemática general ............................................................................................................ 35 3.2.3.2 Tecnología inteligente centrada en el usuario ....................................................................... 36 3.2.3.3 Factores e indicadores centrados en el usuario ..................................................................... 36 3.3 MARCO NORMATIVO ....................................................................................................................... 37 López, Martínez, & Ciez[187] expresa que: .................................................................................................. 37 3.4 BENCHMARKING DE EMPRESAS Y TECNOLOGÍAS ................................................................. 38 4. ASPECTOS METODOLÓGICOS DE LA TESIS ................................................. 40 4.1 ENFOQUE Y TIPO DE INVESTIGACIÓN ....................................................................................... 40 4.2 TÉCNICAS E INSTRUMENTOS DE RECOLECCIÓN DE INFORMACIÓN ............................. 41 4.3 POBLACIÓN/UNIVERSO Y MUESTRA .......................................................................................... 42 4.3.1 Población ................................................................................................................................... 42 4.3.2 Muestra ...................................................................................................................................... 43 4.4 FASES DE LA INVESTIGACIÓN ...................................................................................................... 43 4.4.1 Fase I ......................................................................................................................................... 43 4.4.2 Fase II ........................................................................................................................................ 43 4.4.3 Fase III ...................................................................................................................................... 44 4.5 ACTIVIDADES INVESTIGATIVAS REALIZADAS ....................................................................... 44 4.5.1 Revisión de literatura sobre el concepto de Smart University. .................................................. 45 4.5.2 Análisis bibliométrico del concepto de Smart University. ........................................................ 51 4.5.2.1 Metodología .......................................................................................................................... 51 4.5.2.2 Resultados............................................................................................................................. 53 4.5.3 Identificar las tendencias del concepto de Smart University a través de la revisión documental previa. 58 4.5.3.1 De Ciudad inteligente a Smart University ............................................................................ 58 4.5.3.2 Campus inteligente vs Smart University ............................................................................... 59 4.5.3.3 Internet de las Cosas en el ámbito educativo ........................................................................ 60 4.5.4 Caracterizar la situación actual de las infraestructuras, arquitecturas y tecnologías en las universidades. ............................................................................................................................................... 61 4.5.4.1 Caracterización en Colombia ................................................................................................ 62 4.5.4.2 Caracterización en Latinoamérica ........................................................................................ 68 4.5.5 Revisión de literatura sobre modelos de adopción por tecnología inteligente. .......................... 72 4.5.6 Identificar y caracterizar modelos de adopción por tecnología inteligente para la generación de factores de adopción por tecnología inteligente. .......................................................................................... 74 4.5.7 Generación del modelo de madurez de adopción de tecnologías inteligentes que permita, de forma práctica, la evaluación del grado de desarrollo de servicios inteligentes en universidades. ............... 76 4.5.8 Validación del modelo de madurez ........................................................................................... 77 5. RESULTADOS ........................................................................................................... 79 5.1 EVOLUCIÓN Y TENDENCIAS ALREDEDOR DEL CONCEPTO DE SMART UNIVERSITY . 80 5.2 SMART UNIVERSITY BAJO CUATRO TECNOLOGÍAS INTELIGENTES: IOT, CLOUD COMPUTING, BIG DATA AND ARTIFICIAL INTELLIGENCE .......................................................... 81 5.3 TECNOLOGÍAS INTELIGENTES, HERRAMIENTAS Y PROCESOS EN COLOMBIA Y LATINOAMERICA. ...................................................................................................................................... 82 5.3.1 En Colombia .............................................................................................................................. 82 5.3.1.1 Herramientas identificadas ................................................................................................... 83 5.3.1.2 “Smart Technologies” identificadas ..................................................................................... 83 5.3.1.3 Procesos identificados .......................................................................................................... 84 5.3.2 En Latinoamérica ...................................................................................................................... 85 5.4 FACTORES CLAVES PARA ADOPCIÓN DE TECNOLOGÍA INTELIGENTE ........................ 87 5.4.1 Modelo propuesto para la adopción de IoT ............................................................................... 87 5.4.2 Modelo propuesto para la adopción de Cloud Computing ........................................................ 91 5.4.3 Modelo propuesto para la adopción de Big Data ....................................................................... 96 5.4.4 Modelo propuesto para la adopción de IA ................................................................................. 98 5.4.5 Modelo integrado de factores de adopción de tecnologias para Smart University .................. 101 5.5 FACTORES DE ADOPCIÓN DE TECNOLOGÍAS INTELIGENTES “SMART TECHNOLOGIES” CENTRADOS EN EL USUARIO ............................................................................ 103 5.5.1 Factores planteados ................................................................................................................. 104 5.6 MODELO DE MADUREZ ................................................................................................................. 108 5.6.1 Niveles del modelo de madurez de acuerdo con MPIu+a ....................................................... 109 5.6.2 Factores de adopción por tecnología inteligente asociados a los niveles del modelo de madurez asociado a los factores ................................................................................................................................ 112 5.6.3 Factores de adopción de tecnología inteligente asociados a los niveles del modelo de madurez y factores 124 5.6.4 Factores de adopción de tecnología inteligente asociados a indicadores................................. 126 5.7 ANÁLISIS DEL VALOR POTENCIAL DE LA TECNOLOGÍA: CASO UNIVERSIDAD FRANCISCO DE PAULA SANTANDER OCAÑA................................................................................... 129 5.7.1 Prospectiva plan estratégico TIC. ............................................................................................ 131 5.7.2 Red de Valor ............................................................................................................................ 133 5.7.3 Estrategia ................................................................................................................................. 133 5.7.4 Resultados parciales: caso UFPS Ocaña ................................................................................. 135 5.8 VALIDACION Y APLICACION DEL MODELO MMSTA ........................................................... 138 5.8.1 Facilidad de comprensión y completitud del modelo .............................................................. 140 5.8.2 Experticia y conocimiento en tecnología ................................................................................. 142 5.8.3 Aplicabilidad y escalabilidad del modelo ................................................................................ 143 5.8.4 Facilidad de adopción e identificación de procesos claves para su implementación ............... 144 5.8.5 Viabilidad de implementación ................................................................................................. 146 5.8.6 Recomendaciones y/o observaciones ...................................................................................... 146 5.8.7 Aplicación del modelo: Caso de estudio UFPSO .................................................................... 150 6. BALANCE DE LA CONTRIBUCIÓN ACADÉMICA ........................................ 164 6.1 ARTÍCULOS PUBLICADOS ............................................................................................................ 164 6.2 CAPÍTULOS DE LIBROS PUBLICADOS ...................................................................................... 164 6.3 PONENCIAS EN EVENTOS CIENTÍFICOS .................................................................................. 164 6.4 CONFERENCISTA INVITADO ....................................................................................................... 165 6.5 SIMPOSIOS DOCTORALES ............................................................................................................ 165 6.6 PANEL DE EXPERTO, CATEGORIZACIÓN EN RENACYT (PERÚ), CATEGORIZACIÓN DE INVESTIGADOR (COLOMBIA), ÍNDICES H. ................................................................................. 165 6.7 LISTADO DE COLABORACIÓN Y COOPERACIÓN DE INVESTIGADORES ...................... 166 6.8 LISTA DE CERTIFICADOS DE AUTORIZACIÓN DE REVISTAS ........................................... 166 7. CONCLUSIONES Y RECOMENDACIONES ..................................................... 167 8. TRABAJOS FUTUROS .......................................................................................... 171 REFERENCIAS ............................................................................................................... 173spa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameinstname:Universidad Autónoma de Bucaramanga - UNABspa
dc.identifier.reponamereponame:Repositorio Institucional UNABspa
dc.identifier.repourlrepourl:https://repository.unab.edu.cospa
dc.identifier.urihttp://hdl.handle.net/20.500.12749/16730
dc.language.isospaspa
dc.publisher.facultyFacultad Ingenieríaspa
dc.publisher.grantorUniversidad Autónoma de Bucaramanga UNABspa
dc.publisher.programDoctorado en Ingenieríaspa
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dc.relation.references[442] C. Á. Álvarez, “La relación teoría-práctica en los procesos de enseñanza-aprendizaje Theory-practice relationship in the processes of teaching and learning,” 2012.spa
dc.relation.references[443] J. M. González-Varona, A. López-Paredes, J. Pajares, F. Acebes, and F. Villafáñez, “Aplicabilidad de los Modelos de Madurez de Business Intelligence a PYMES,” Direccion y Organizacion, no. 71, pp. 31–45, Jul. 2020, doi: 10.37610/dyo.v0i71.577spa
dc.relation.references[444] C. U. Españolas, “TIC 360o - Transformación Digital en la Universidad,” 2017spa
dc.relation.references[445] L. F. Berdnikova, A. A. Sherstobitova, O. V. Schnaider, N. O. Mikhalenok, and O. E. Medvedeva, Smart university: Assessment models for resources and economic potential, vol. 144. Springer Singapore, 2019. doi: 10.1007/978-981-13-8260-4_51spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.creativecommonsAtribución-NoComercial-SinDerivadas 2.5 Colombia*
dc.rights.localAbierto (Texto Completo)spa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/2.5/co/*
dc.subject.keywordsEngineeringspa
dc.subject.keywordsTechnology managementspa
dc.subject.keywordsMaturity modelspa
dc.subject.keywordsSmart technologiesspa
dc.subject.keywordsSmart-universityspa
dc.subject.keywordsTechnology adoptionspa
dc.subject.keywordsTechnological innovationsspa
dc.subject.keywordsTechnological changespa
dc.subject.keywordsArtificial intelligencespa
dc.subject.keywordsComputer networksspa
dc.subject.keywordsCommunications technologyspa
dc.subject.lembIngenieríaspa
dc.subject.lembInnovaciones tecnológicasspa
dc.subject.lembCambio tecnológicospa
dc.subject.lembInteligencia artificialspa
dc.subject.lembRedes de computadoresspa
dc.subject.lembTecnología de las comunicacionesspa
dc.subject.proposalGestión de tecnologíaspa
dc.subject.proposalModelo de madurezspa
dc.subject.proposalTecnologías inteligentesspa
dc.subject.proposalUniversidad inteligentespa
dc.subject.proposalAdopción tecnológicaspa
dc.titleModelo de madurez de adopción de las tecnologías de información para las universidades: Una aproximación desde el enfoque de Smart Universityspa
dc.title.translatedInformation Technology Adoption Maturity Model for Universities: An Approach from the Smart University Approachspa
dc.typeThesiseng
dc.type.coarhttp://purl.org/coar/resource_type/c_db06
dc.type.driverinfo:eu-repo/semantics/doctoralThesisspa
dc.type.hasversioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.localTesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TDspa

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