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

Universidad 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 inte...

Full description

Autores:: Rico Bautista, Dewar Willmer

Tipo de recurso:: Doctoral thesis

Fecha de publicación:: 2022

Institución:: Universidad Autónoma de Bucaramanga - UNAB

Repositorio:: Repositorio UNAB

Idioma:: spa

id	UNAB2_148c376ce42cf2169794fe061e8dc059
oai_identifier_str	oai:repository.unab.edu.co:20.500.12749/16730
network_acronym_str	UNAB2
network_name_str	Repositorio UNAB
repository_id_str
dc.title.spa.fl_str_mv	Modelo de madurez de adopción de las tecnologías de información para las universidades: Una aproximación desde el enfoque de Smart University
dc.title.translated.spa.fl_str_mv	Information Technology Adoption Maturity Model for Universities: An Approach from the Smart University Approach
title	Modelo de madurez de adopción de las tecnologías de información para las universidades: Una aproximación desde el enfoque de Smart University
spellingShingle	Modelo de madurez de adopción de las tecnologías de información para las universidades: Una aproximación desde el enfoque de Smart University Engineering Technology management Maturity model Smart technologies Smart-university Technology adoption Technological innovations Technological change Artificial intelligence Computer networks Communications technology Ingeniería Innovaciones tecnológicas Cambio tecnológico Inteligencia artificial Redes de computadores Tecnología de las comunicaciones Gestión de tecnología Modelo de madurez Tecnologías inteligentes Universidad inteligente Adopción tecnológica
title_short	Modelo de madurez de adopción de las tecnologías de información para las universidades: Una aproximación desde el enfoque de Smart University
title_full	Modelo de madurez de adopción de las tecnologías de información para las universidades: Una aproximación desde el enfoque de Smart University
title_fullStr	Modelo de madurez de adopción de las tecnologías de información para las universidades: Una aproximación desde el enfoque de Smart University
title_full_unstemmed	Modelo de madurez de adopción de las tecnologías de información para las universidades: Una aproximación desde el enfoque de Smart University
title_sort	Modelo de madurez de adopción de las tecnologías de información para las universidades: Una aproximación desde el enfoque de Smart University
dc.creator.fl_str_mv	Rico Bautista, Dewar Willmer
dc.contributor.advisor.none.fl_str_mv	Guerrero, Cesar D. Maestre Góngora, Gina Paola Collazos Ordóñez, César Alberto
dc.contributor.author.none.fl_str_mv	Rico Bautista, Dewar Willmer
dc.contributor.cvlac.spa.fl_str_mv	Guerrero, Cesar D. [0000809357] Collazos Ordóñez, César Alberto [0000232122] Rico Bautista, Dewar Willmer [0000255815]
dc.contributor.googlescholar.spa.fl_str_mv	Guerrero, Cesar D. [YgBOOcAAAAJ]
dc.contributor.orcid.spa.fl_str_mv	Guerrero, Cesar D. [0000-0002-3286-6226] Collazos Ordóñez, César Alberto [0000-0002-7099-8131] Rico Bautista, Dewar Willmer [0000-0002-1808-3874]
dc.contributor.researchgate.spa.fl_str_mv	Guerrero, Cesar D. [Cesar-Guerrero-2] Collazos Ordóñez, César Alberto [Cesar-Collazos] Rico Bautista, Dewar Willmer [Dewar-Rico-Bautista]
dc.contributor.linkedin.none.fl_str_mv	Guerrero, Cesar D. [cguerrer]
dc.subject.keywords.spa.fl_str_mv	Engineering Technology management Maturity model Smart technologies Smart-university Technology adoption Technological innovations Technological change Artificial intelligence Computer networks Communications technology
topic	Engineering Technology management Maturity model Smart technologies Smart-university Technology adoption Technological innovations Technological change Artificial intelligence Computer networks Communications technology Ingeniería Innovaciones tecnológicas Cambio tecnológico Inteligencia artificial Redes de computadores Tecnología de las comunicaciones Gestión de tecnología Modelo de madurez Tecnologías inteligentes Universidad inteligente Adopción tecnológica
dc.subject.lemb.spa.fl_str_mv	Ingeniería Innovaciones tecnológicas Cambio tecnológico Inteligencia artificial Redes de computadores Tecnología de las comunicaciones
dc.subject.proposal.spa.fl_str_mv	Gestión de tecnología Modelo de madurez Tecnologías inteligentes Universidad inteligente Adopción tecnológica
description	Universidad 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.
publishDate	2022
dc.date.accessioned.none.fl_str_mv	2022-06-17T19:51:48Z
dc.date.available.none.fl_str_mv	2022-06-17T19:51:48Z
dc.date.issued.none.fl_str_mv	2022-06
dc.type.eng.fl_str_mv	Thesis
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/doctoralThesis
dc.type.local.spa.fl_str_mv	Tesis
dc.type.coar.none.fl_str_mv	http://purl.org/coar/resource_type/c_db06
dc.type.redcol.spa.fl_str_mv	http://purl.org/redcol/resource_type/TD
format	http://purl.org/coar/resource_type/c_db06
dc.identifier.uri.none.fl_str_mv	http://hdl.handle.net/20.500.12749/16730
dc.identifier.instname.spa.fl_str_mv	instname:Universidad Autónoma de Bucaramanga - UNAB
dc.identifier.reponame.spa.fl_str_mv	reponame:Repositorio Institucional UNAB
dc.identifier.repourl.spa.fl_str_mv	repourl:https://repository.unab.edu.co
url	http://hdl.handle.net/20.500.12749/16730
identifier_str_mv	instname:Universidad Autónoma de Bucaramanga - UNAB reponame:Repositorio Institucional UNAB repourl:https://repository.unab.edu.co
dc.language.iso.spa.fl_str_mv	spa
language	spa
dc.relation.references.spa.fl_str_mv	[1] C. U. ESPAÑOLAS, Analisis de las TIC en las Universidades Españolas. 2015. doi: 10.1017/CBO9781107415324.004 [2] J. S. Rueda-Rueda, D. Rico-Bautista, and É. Flórez-Solano, “Education in ICT: Teaching to use, teaching to protect oneself and teaching to create [Educación en TIC: Enseñar a usar, enseñar a protegerse y enseñar a crear tecnología],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2019, no. 19, pp. 252–264, 2019. [3] L. V. Glukhova, S. D. Syrotyuk, A. A. Sherstobitova, and S. V. Pavlova, Smart university development evaluation models, vol. 144. Springer Singapore, 2019. doi: 10.1007/978-981-13-8260-4_47 [4] D. Rico-bautista, C. D. Guerrero, C. A. Collazos, and G. Maestre-góngora, “Smart University : A vision of technology adoption Universidad inteligente : Una visión de la adopción de la tecnología,” Revista Colombiana de Computación, vol. 22, no. 1, pp. 44–55, 2021, doi: 10.29375/25392115.4153 [5] P. Pornphol and T. Tongkeo, “Transformation from a traditional university into a smart university,” Proceedings of the 6th International Conference on Information and Education Technology - ICIET ’18. ACM Press, pp. 144–148, 2018. doi: 10.1145/3178158.3178167 [6] I. Staškevičiute and B. Neverauskas, “The intelligent university’s conceptual model,” Engineering Economics, vol. 4, no. 59, pp. 53–58, 2008, doi: 10.5755/j01.ee.59.4.11563 [7] D. Rico-Bautista, C. D. Guerrero, C. A. Collazos, and G. Maestre-Gongora, “Maturity model of adoption of Information Technologies for universities: An approach from the Smart University perspective,” in 2021 16th Iberian Conference on Information Systems and Technologies (CISTI), Jun. 2021, pp. 1–6. doi: 10.23919/CISTI52073.2021.9476468 [8] L. I. U. Xiong, “A Study on Smart Campus Model in the Era of Big Data,” Advances in Social Science, Education and Humanities Research, vol. 87, no. Icemeet 2016, pp. 919–922, 2017. [9] D. Rico-Bautista, G. P. Maestre-Góngora, and C. D. Guerrero, “Smart university: Characterization of the current situation of intelligent technologies, based on two case studies [Caracterización de la situación actual de las tecnologías inteligentes para una universidad inteligente en Colombia/latinoamérica],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E27, pp. 484–501, 2020 [10] F. M. Pérez, J. V. B. Martínez, J. M. S. Bernabeu, I. L. Fonseca, and A. Fuster-Guilló, “Smart university: hacia una universidad más abierta.” 2016. [11] D. Rico-Bautista, Y. Medina-Cárdenas, and C. D. Guerrero, “Smart University: A Review from the Educational and Technological View of Internet of Things,” in International Conference on Information Technology and Systems, ICITS 2019, vol. 918, P. M., F. C., and R. A., Eds. Systems and Informatics Department, Universidad Francisco de Paula Santander Ocaña, Algodonal Campus Vía Acolsure, Ocaña, 546551, Colombia: Springer Verlag, 2019, pp. 427–440. doi: 10.1007/978-3-03011890-7_42 [12] J. P. Bakken, V. L. Uskov, S. V. Kuppili, A. V Uskov, N. Golla, and N. Rayala, Smart University: Conceptual Modeling and Systems’ Design, vol. 70. Cham: Springer International Publishing, 2018. doi: 10.1007/978-3-319-59454-5. [13] O. Akhrif, Y. E. B. El Idrissi, and N. Hmina, “Smart university: SOC-based study,” Proceedings of the 3rd International Conference on Smart City Applications - SCA ’18. ACM Press, 2018. doi: 10.1145/3286606.3286798 [14] Aqeel-ur-Rehman, A. Z. Abbasi, and Z. A. Shaikh, “Building a Smart University Using RFID Technology,” in 2008 International Conference on Computer Science and Software Engineering, 2008, vol. 5, pp. 641–644. doi: 10.1109/CSSE.2008.1528. [15] K. Sargent, P. Hyland, and S. Sawang, “Factors influencing the adoption of information technology in a construction business,” Construction Economics and Building, vol. 12, no. 2, p. 86, Jun. 2012, doi: 10.5130/AJCEB.v12i2.244 [16] S. Karkošková, “Towards Cloud Computing Management Model Based on ITIL Processes,” in Proceedings of the 2nd International Conference on Business and Information Management, Sep. 2018, pp. 1–5. doi: 10.1145/3278252.3278265 [17] M. Comuzzi and A. Patel, “How organisations leverage: Big Data: A maturity model,” Industrial Management and Data Systems, vol. 116, no. 8, pp. 1468–1492, 2016, doi: 10.1108/IMDS-12-20150495. [18] N. V Semenova, E. A. Svyatkina, T. G. Pismak, and Z. Y. Polezhaeva, “The Realities of Smart Education in the Contemporary Russian Universities,” in Proceedings of the Internationsl Conference on Electronic Governance and Open Society: Challenges in Eurasia, 2017, pp. 48–52. doi: 10.1145/3129757.3129767 [19] A. Fernández Martínez and F. Llorens Largo, Gobierno de las TI para universidades. 2016. [20] C. Williams, D. Schallmo, K. Lang, and L. Boardman, “Digital Maturity Models for Small and Medium-sized Enterprises: A Systematic Literature Review,” ISPIM Conference Proceedings, no. June, pp. 1–15, 2019 [21] J. Rueda-Rueda, J. Manrique, and J. Cabrera Cruz, Internet de las Cosas en las Instituciones de Educación Superior. 2017. [22] J. Becker, R. Knackstedt, and J. Pöppelbuß, “Developing Maturity Models for IT Management,” Business & Information Systems Engineering, vol. 1, no. 3, pp. 213–222, 2009, doi: 10.1007/s12599009-0044-5. [23] C. Heinemann and V. L. Uskov, “Smart University: Literature Review and Creative Analysis,” in Smart Universities, Germany: Springer International Publishing, 2018, pp. 11–46. doi: 10.1007/978-3-31959454-5_2 [24] P. Rikhardsson and R. Dull, “An exploratory study of the adoption, application and impacts of continuous auditing technologies in small businesses,” International Journal of Accounting Information Systems, vol. 20, pp. 26–37, Apr. 2016, doi: 10.1016/j.accinf.2016.01.003 [25] Y. C. Medina-Cárdenas and D. Rico-Bautista, “Strategic alignment under a technology management organizational approach: ITIL & ISO 20000,” Revista Tecnura, vol. 20, no. 1, pp. 82–94, 2016, doi: 10.14483/22487638.11681 [26] D. Rico-Bautista et al., “Smart university: Strategic map since the adoption of technology [Universidad inteligente: Mapa estratégico desde la adopción de tecnología].,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E28, pp. 711–724, 2020. [27] Dewar. Rico-Bautista, Y. Areniz Arévalo, and Y. C. Medina Cárdenas, “Strategic management appropriation: A question of organizational skills,” FACE: Revista de la Facultad de Ciencias Económicas y Empresariales, vol. 15, no. 2, pp. 71–80, Nov. 2015 [28] D. Rico-Bautista et al., “Smart university: Key factors for the adoption of internet of things and big data,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 201, no. 41, pp. 63–79, 2021, doi: 10.17013/risti.41.63–79 [29] D. Rico-Bautista, C. A. Collazos, C. D. Guerrero, G. Maestre-Gongora, and Y. Medina-Cárdenas, “Latin American Smart University: Key Factors for a User-Centered Smart Technology Adoption Model,” in Sustainable Intelligent Systems, 2021, pp. 161–173. doi: 10.1007/978-981-33-4901-8_1 [30] D. Rico-Bautista, Y. Medina-Cardenas, L. A. Coronel-Rojas, F. Cuesta-Quintero, G. Maestre-Gongora, and C. D. Guerrero, “Smart University: Key Factors for an Artificial Intelligence Adoption Model,” in Advances and Applications in Computer Science, Electronics and Industrial Engineering, vol. 1307, M. v. García, F. Fernández-Peña, and C. Gordón-Gallegos, Eds. Singapore: Springer Singapore, 2021, pp. 153–166. doi: 10.1007/978-981-33-4565-2_10. [31] D. Rico-Bautista, G. Maestre-Gongora, and C. D. Guerrero, “Smart University:IoT adoption model,” in 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), Jul. 2020, pp. 821–826. doi: 10.1109/WorldS450073.2020.9210369. [32] D. Rico-Bautista, Y. Medina-Cardenas, Y. Areniz-Arevalo, E. [32] D. Rico-Bautista, Y. Medina-Cardenas, Y. Areniz-Arevalo, E. Barrientos-Avendano, G. MaestreGongora, and C. D. Guerrero, “Smart University: Big Data adoption model,” in 2020 9th International Conference On Software Process Improvement (CIMPS), Oct. 2020, pp. 52–60. doi: 10.1109/CIMPS52057.2020.9390151 [33] O. Akhrif, Y. E. B. El Idrissi, and N. Hmina, “Smart university, a new concept in the Internet of Things,” in Proceedings of the 3rd International Conference on Smart City Applications - SCA ’18, 2018, pp. 1– 6. doi: 10.1145/3286606.3286798. [34] C. de la república de Colombia, “Plan nacional de desarrollo 2014-2018,” 2015. [35] Consejo Privado de Competitividad, “Informe nacional de competitividad 2017-2018,” p. 271, 2017, doi: ISSN 2016-1430 [36] P. Generales and C. De Calidad, “Modelo de acreditación CNA,” 2006 [37] L. Enrique and O. Silva, “La calidad de la universidad. Más allá de toda ambigüedad,” pp. 1–14, 1997 [38] A. Roa, “Hacia un modelo de aseguramiento de la calidad en la educación superior en Colombia: estándares básicos y acreditación de excelencia,” Educación superior, calidad y acreditación. Alfa Omega Colombiana, Bogotá, pp. 101–107, 2003 [39] Ministerio de Educación Nacional, “Propuesta metodológica para la distribución de recursos Artículo 87 de la Ley 30 de 1992 Vigencia 2013,” p. 6, 2013. [40] M. Zapata-Ros, “La universidad inteligente La transición de los LMS a los Sistemas Inteligentes de Aprendizaje en Educación Superior The transition from Learning Management Systems (LMS) to Smart Learning Systems (SLS) in Higher Education,” RED. Revista de Educación a Distancia. Núm, vol. 57, no. 10, pp. 31–1, 2018, doi: 10.6018/red/57/10 [41] J. Gómez, T. Jimenez, J. Gumbau, and F. Llorens, Universitic 2017 Análisis de las TIC en las Universidades Españolas. 2017 [42] F. Maciá, Smart University. Hacia una universidad más abierta, Primera. 2017. [43] J. Gómez, T. Jimenez, J. Gumbau, and F. Llorens, “UNIVERSITIC 2016 Análisis de las TIC en las Universidades Españolas,” p. 150, 2016 Universidades Españolas,” p. 150, 2016. [44] ANUIES, Estado actual de las Tecnologías de la Información y las Comunicaciones en las Instituciones de Educación Superior en México. 2017. [45] R. Padilla, S. Cadena, R. Enríquez, J. Córdova, and F. Lllorens, Estado de las tecnologías de la información y la comunicación en las universidades ecuatorianas. 2017. [46] F. L. L. Antonio Fernández Martínez, Universitic Latam 2014, no. 1. 2014. doi: 10.1007/s13398-0140173-7.2 [47] J. Valls, R. Villers, and G. Duque, Estado Actual de las Tecnologías de la Información y las Comunicaciones en las Instituciones de Educación Superior en México. 2016 [48] A. Whitmore, A. Agarwal, and L. Da Xu, “The Internet of Things—A survey of topics and trends,” Information Systems Frontiers, vol. 17, no. 2, pp. 261–274, 2015, doi: 10.1007/s10796-014-9489-2 [49] N. Gershenfeld, R. Krikorian, and D. Cohen, The internet of things, vol. 291, no. 4. 2004. doi: 10.1038/scientificamerican1004-76. [50] C. (Software B. Williams, “Smart Systems,” Cybertalk, no. April, 2016 [51] O. Flauzac, C. Gonzalez, and F. Nolot, “New security architecture for IoT network,” in Procedia Computer Science, 2015, vol. 52, no. 1, pp. 1028–1033. doi: 10.1016/j.procs.2015.05.099 [52] G. Maestre-Góngora, “Revisión de literatura sobre ciudades inteligentes: una perspectiva centrada en las TIC,” Ingeniare, vol. 19, no. 19, pp. 137–149, 2016. [53] G. Perboli, A. De Marco, F. Perfetti, and M. Marone, “A New Taxonomy of Smart City Projects,” Transportation Research Procedia, vol. 3, pp. 470–478, 2014, doi: 10.1016/j.trpro.2014.10 [54] L. Muñoz López, D. Proyecto, P. Antón Martínez, and S. Fernández Ciez, “Summary for Policymakers,” in Climate Change 2013 - The Physical Science Basis, Intergovernmental Panel on Climate Change, Ed. Cambridge: Cambridge University Press, 2015, pp. 1–30. doi: 10.1017/CBO9781107415324.004. [55] Y. Atif, S. S. Mathew, and A. Lakas, “Building a smart campus to support ubiquitous learning,” Journal of Ambient Intelligence and Humanized Computing, vol. 6, no. 2, pp. 223–238, 2015, doi: 10.1007/s12652-014-0226-y [56] E. M. Malatji, “The development of a smart campus - African universities point of view,” in 2017 8th International Renewable Energy Congress (IREC), Mar. 2017, pp. 1–5. doi: 10.1109/IREC.2017.7926010 [57] A. Adamko, T. Kadek, and M. Kosa, “Intelligent and adaptive services for a smart campus,” in 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), Nov. 2014, pp. 505–509. doi: 10.1109/CogInfoCom.2014.7020509 [58] Y. Khamayseh, W. Mardini, S. Aljawarneh, and M. B. Yassein, “Integration of Wireless Technologies in Smart University Campus Environment,” International Journal of Information and Communication Technology Education, vol. 11, no. 1, pp. 60–74, Jan. 2015, doi: 10.4018/ijicte.2015010104. [59] M. Rohs and J. Bohn, “Entry points into a smart campus environment - overview of the ETHOC system,” in 23rd International Conference on Distributed Computing Systems Workshops, 2003. Proceedings., 2003, pp. 260–266. doi: 10.1109/ICDCSW.2003.1203564. [60] S. Gul, M. Asif, S. Ahmad, M. Yasir, M. Majid, and M. S. A. Malik, “A Survey on role of Internet of Things in education,” IJCSNS International Journal of Computer Science and Network Security, vol. 17, no. 5, pp. 159–165, 2017 [61] L. Banica, E. Burtescu, and F. Enescu, “The impact of internet-of-things in higher education,” Scientific Bulletin-Economic Sciences, vol. 16, no. 1, pp. 53–59, 2017. [62] D. Galego, C. Giovannella, and Ó. Mealha, “Determination of the Smartness of a University Campus: The Case Study of Aveiro,” Procedia - Social and Behavioral Sciences, vol. 223, pp. 147–152, 2016, doi: 10.1016/j.sbspro.2016.05.336. [63] R. Wendler, “The maturity of maturity model research: A systematic mapping study,” Information and Software Technology, vol. 54, no. 12, pp. 1317–1339, 2012, doi: 10.1016/j.infsof.2012.07.007 [64] J. Fraser and S. Plewes, “Applications of a UX Maturity Model to Influencing HF Best Practices in Technology Centric Companies – Lessons from Edison,” Procedia Manufacturing, vol. 3, pp. 626–631, 2015, doi: 10.1016/j.promfg.2015.07.285. [65] J. Poeppelbuss, B. Niehaves, A. Simons, and J. Becker, “Maturity Models in Information Systems Research: Literature Search and Analysis,” Communications of the Association for Information Systems, vol. 29, no. 1, 2011, doi: 10.17705/1cais.02927 [66] L. G. Pee and A. Kankanhalli, “A model of organisational knowledge management maturity based on people, process, and technology,” Journal of Information and Knowledge Management, vol. 8, no. 2, pp. 79–99, 2009, doi: 10.1142/S0219649209002270 [67] L. Montañez Carrillo and J. P. Lis Gutiérrez, “A propósito de los modelos de madurez de gestión del conocimiento,” Revista Facultad de Ciencias Económicas, vol. 25, no. 2, pp. 63–81, 2017, doi: 10.18359/rfce.3069 [68] F. Y. Hernández, R. I. Laguado, and J. P. Rodriguez, “Maturity analysis in project management in Colombian universities,” in Journal of Physics: Conference Series, 2018, vol. 1126, no. 1. doi: 10.1088/1742-6596/1126/1/012055 [69] T. de Bruin, M. Rosemann, R. Freeze, and U. Kulkarni, “Understanding the main phases of developing a maturity assessment model,” 2005 [70] L. Lee‐Kelley, D. A. Blackman, and J. P. Hurst, “An exploration of the relationship between learning organisations and the retention of knowledge workers,” The Learning Organization, vol. 14, no. 3, pp. 204–221, Apr. 2007, doi: 10.1108/09696470710739390. [71] P. Jonsson and C. Wohlin, “An evaluation of k-nearest neighbour imputation using likert data,” in 10th International Symposium on Software Metrics, 2004. Proceedings., pp. 108–118. doi: 10.1109/METRIC.2004.1357895 [72] J. Martínez Lozano, “Modelo de madurez en el dominio de los proyectos aplicado a organizaciones de gestión de proyectos en Medellín,” Universidad EAFIT, 2015. [73] E. I. Pérez-Mergarejo, I. I. Pérez-Vergara, and Y. Rodríguez-Ruíz III, “Modelos de madurez y su idoneidad para aplicar en pequeñas y medianas empresas Maturity models and the suitability of its application in small and medium enterprises,” Ingeniería Industrial, vol. XXXV, no. 2, pp. 1815–5936, 2014, doi: 10.1016/j.jag.2015.12.005. [74] S. Marshall, “Change, technology and higher education: Are universities capable of organisational change?,” Australasian Journal of Educational Technology, vol. 26, no. 8, pp. 179–192, 2010, doi: 10.14742/ajet.1018. [75] C. L. Carvajal and A. M. Moreno, “The Maturity of Usability Maturity Models,” no. February, 2018, doi: 10.1007/978-3-319-67383-7. [76] T. C. Lacerda and C. G. von Wangenheim, “Systematic literature review of usability capability/maturity models,” Computer Standards and Interfaces, vol. 55, pp. 1339–1351, 2018, doi: 10.1016/j.csi.2017.06.001 [77] J. Becker, B. Niehaves, J. Pöppelbuß, and A. Simons, “Maturity models in IS research,” 18th European Conference on Information Systems, ECIS 2010, 2010 [78] T. De Bruin, R. Freeze, U. Kaulkarni, and M. Rosemann, “Understanding the main phases of developing a maturity assessment model,” Australasian Chapter of the Association for Information Systems, pp. 8– 19, 2005, doi: 10.1108/14637151211225225 [79] J. Becker, R. Knackstedt, and J. Pöppelbuß, “Developing maturity models for it management - A procedure model and its application [Entwicklung von reifegradmodellen für das it-management - VorgehensModell und praktische anwendung],” Business and Information Systems Engineering, vol. 51, no. 3, pp. 249–260, 2009, doi: 10.1007/s11576-009-0167-9. [80] J. Vuorio, J. Okkonen, and J. Viteli, “Enhancing user value of educational technology by three layer assessment,” in Proceedings of the 21st International Academic Mindtrek Conference, Sep. 2017, pp. 220–226. doi: 10.1145/3131085.3131105. [81] P. Martins and J. de S. D. Duarte, “Towards a Maturity Model for Higher Education Institutions,” Journal of Spatial and Organisational Dynamics, vol. 1, no. 1, 2013 [82] J. Mineraud, O. Mazhelis, X. Su, and S. Tarkoma, “A gap analysis of Internet-of-Things platforms,” Computer Communications, vol. 89–90, 2016, doi: 10.1016/j.comcom.2016.03.015 [83] J. Lin, W. Yu, N. Zhang, X. Yang, H. Zhang, and W. Zhao, “A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications,” IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1125–1142, 2017, doi: 10.1109/JIOT.2017.2683200. [84] M. A. Marotta, C. B. Both, J. Rochol, L. Z. Granville, and L. M. R. Tarouco, “Evaluating management architectures for Internet of Things devices,” IFIP Wireless Days, vol. 2015-Janua, no. January, 2015, doi: 10.1109/WD.2014.7020811. [85] T. Ara, P. Gajkumar Shah, and M. Prabhakar, “Internet of Things Architecture and Applications: A Survey,” Indian Journal of Science and Technology; Volume 9, Issue 45, December 2016, 2016. [86] R. Khan, S. U. Khan, R. Zaheer, and S. Khan, “Future internet: The internet of things architecture, possible applications and key challenges,” in Proceedings - 10th International Conference on Frontiers of Information Technology, FIT 2012, 2012, pp. 257–260. doi: 10.1109/FIT.2012.53. [87] J. I. Rodríguez Molano, C. E. Montenegro marín, J. M. Cueva Lovelle, J. Molano, C. Marin, and J. Cueva, “Introducción al Internet de las Cosas,” Redes de Ingeniería, vol. 6, no. 7, pp. 53–59, 2015, doi: 10.14483/udistrital.jour.redes.2016.1.a04. [88] T. Cao, X. Chen, R. Doss, J. Zhai, L. J. Wise, and Q. Zhao, “RFID ownership transfer protocol based on cloud,” Computer Networks, vol. 105, pp. 47–59, 2016, doi: 10.1016/j.comnet.2016.05.017 [89] F. Maciá-Pérez, J. Berná-Martínez, J. Sánchez-Bernabéu, and I. Lorenzo, Smart university: hacia una universidad más abierta. Marcombo, 2016. [90] S. Downes and C. E.-A. Campbell, “Smart University Utilising the Concept of the Internet of Things (IOT),” in 2018 UKSim-AMSS 20th International Conference on Computer Modelling and Simulation (UKSim), 2018, pp. 145–150. doi: 10.1109/uksim.2018.00037. [91] M. Zapata-ros, “La universidad inteligente La transición de los LMS a los Sistemas Inteligentes de Aprendizaje en Educación Superior The smart university,” vol. 57, no. 10, pp. 1–43, 2018. [92] Y. S. Mitrofanova, A. A. Sherstobitova, and O. A. Filippova, Modeling the assessment of definition of a smart university infrastructure development level, vol. 144. Springer Singapore, 2019. doi: 10.1007/978-981-13-8260-4_50 [93] S. Park and D. Ko, “Design of the Convergence Security Platform for Smart Universities,” vol. 3, no. 2. pp. 3–7, 2015. [94] X. Cheng and R. Xue, “Construction of Smart Campus System Based on Cloud Computing,” Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology (ICASET), vol. 77, no. Icaset, pp. 187–191, 2016, doi: 10.2991/icaset-16.2016.37. [95] A. Ben Rjab and S. Mellouli, “Smart cities in the era of artificial intelligence and internet of things,” no. 1, pp. 1–10, 2018, doi: 10.1145/3209281.3209380 [96] S. Alqassemi, Y. K. Ever, and A. V. Rajan, “Maturity Level of Cloud Computing at HCT,” ITT 2017 - Information Technology Trends: Exploring Current Trends in Information Technology, Conference Proceedings, vol. 2018-Janua, no. Itt, pp. 5–8, 2018, doi: 10.1109/CTIT.2017.8259558. [97] C. N. Hung, M. D. Hwang, and Y. C. Liu, “Building a Maturity Model of Information Security Governance for Technological Colleges and Universities in Taiwan,” Applied Mechanics and Materials, vol. 284–287, pp. 3657–3661, 2013, doi: 10.4028/www.scientific.net/amm.284-287.3657 [98] B. Sánchez-Torres, J. A. Rodríguez-Rodríguez, D. Rico-Bautista, and C. D. Guerrero, “Smart Campus: Trends in cybersecurity and future development,” Revista Facultad de Ingeniería, vol. 27, no. 47, pp. 93–101, Jan. 2018, doi: 10.19053/01211129.v27.n47.2018.7807 [99] D. Rico-Bautista, Y. Medina-Cárdenas, and C. D. Guerrero, “Smart University: A Review from the Educational and Technological View of Internet of Things,” in International Conference on Information Technology and Systems, ICITS 2019, vol. 918, M. Paredes, C. Ferras, and A. Rocha, Eds. Systems and Informatics Department, Universidad Francisco de Paula Santander Ocaña, Algodonal Campus Vía Acolsure, Ocaña, 546551, Colombia: Springer Verlag, 2019, pp. 427–440. doi: 10.1007/978-3-030-11890-7_42. [100] D. Rico-Bautista, G. P. Maestre-Góngora, and C. D. Guerrero, “Smart university: Characterization of the current situation of intelligent technologies, based on two case studies [Caracterización de la situación actual de las tecnologías inteligentes para una universidad inteligente en Colombia/latinoamérica],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E27, pp. 484–501, 2020 [101] M. Ali and A. Majeed, “How Internet-of-Things ( IoT ) Making the University Campuses Smart ?,” pp. 646–648, 2018, doi: 10.1109/CCWC.2018.8301774 [102] S. Hipwell, “Developing smart campuses #x2014; A working model,” 2014 International Conference on Intelligent Green Building and Smart Grid (IGBSG), pp. 1–6, 2014, doi: 10.1109/IGBSG.2014.6835169. [103] I. Staskeviciute and B. Neverauskas, “The Intelligent University’s Conceptual Model,” Inzinerine Ekonomika-Engineering Economics, no. 4, pp. 53–58, 2008 [104] J. Green, “The Internet of Things Reference Model,” Internet of Things World Forum, pp. 1–12, 2014 [105] S. Li, L. Da Xu, and S. Zhao, “The internet of things: a survey,” Information Systems Frontiers, vol. 17, no. 2, pp. 243–259, 2015, doi: 10.1007/s10796-014-9492-7 [106] D. Airehrour, J. Gutierrez, and S. K. Ray, “Secure routing for internet of things: A survey,” Journal of Network and Computer Applications, vol. 66, 2016, doi: 10.1016/j.jnca.2016.03.006 [107] Dewar. Rico-Bautista, Y. Medina-Cárdenas, and L. M. Santos Jaimes, “Ipsec de Ipv6 en la universidad de Pamplona,” Scientia Et Technica, vol. 2, no. 39, pp. 320–325, 2008, doi: 10.22517/23447214.3239 [108] A. J. Jara, P. Moreno-Sanchez, A. F. Skarmeta, S. Varakliotis, and P. Kirstein, “IPv6 addressing proxy: Mapping native addressing from legacy technologies and devices to the internet of things (IPv6),” Sensors (Switzerland), vol. 13, no. 5, pp. 6687–6712, 2013, doi: 10.3390/s130506687 [109] L. M. Santos and D. Rico-Bautista, “IPv6 en la Universidad de Pamplona: Estado del arte,” Scientia Et Technica, vol. XIII, pp. 415–420, 2007. [110] T. Le Vinh, S. Bouzefrane, J. M. Farinone, A. Attar, and B. P. Kennedy, “Middleware to integrate mobile devices, sensors and cloud computing,” Procedia Computer Science, vol. 52, no. 1, pp. 234– 243, 2015, doi: 10.1016/j.procs.2015.05.061. [111] A. Kotsev, F. Pantisano, S. Schade, and S. Jirka, “Architecture of a service-enabled sensing platform for the environment,” Sensors (Switzerland), vol. 15, no. 2, pp. 4470–4495, 2015, doi: 10.3390/s150204470 [112] M. Taneja and A. Davy, “Resource Aware Placement of Data Analytics Platform in Fog Computing,” Procedia Computer Science, vol. 97, pp. 153–156, 2016, doi: 10.1016/j.procs.2016.08.295 [113] M. M. Rathore, A. Ahmad, and A. Paul, “Big Data and Internet of Things,” in Proceedings of the 2015 International Conference on Big Data Applications and Services - BigDAS ’15, 2015, vol. 20-23-Octo, pp. 58–65. doi: 10.1145/2837060.2837067. [114] M. Quwaider, M. Al-Alyyoub, and Y. Jararweh, “Cloud Support Data Management Infrastructure for Upcoming Smart Cities,” Procedia Computer Science, vol. 83, pp. 1232–1237, 2016, doi: 10.1016/j.procs.2016.04.257. [115] A. S. Yeole and D. R. Kalbande, “Use of Internet of Things (IoT) in Healthcare,” in Proceedings of the ACM Symposium on Women in Research 2016 - WIR ’16, 2016, vol. 21-22-Marc, pp. 71–76. doi: 10.1145/2909067.2909079. [116] S. V. Zanjal and G. R. Talmale, “Medicine Reminder and Monitoring System for Secure Health Using IOT,” in Physics Procedia, 2016, vol. 78, pp. 471–476. doi: 10.1016/j.procs.2016.02.090 [117] D. Rico-Bautista, J. Rueda-Rueda, and S. Alvernia Acevedo, “Las TIC como agente social Una apuesta de la universidad Francisco de Paula Santander Ocaña,” in Simbiosis del aprendizaje con las tecnologías: experiencias innovadoras en el ámbito hispano, 2016, pp. 329–342. [118] H. Aldowah, S. Ul Rehman, S. Ghazal, and I. Naufal Umar, “Internet of Things in Higher Education: A Study on Future Learning,” Journal of Physics: Conference Series, vol. 892, p. 012017, Sep. 2017, doi: 10.1088/1742-6596/892/1/012017 [119] M. Coccoli, P. Maresca, and L. Stanganelli, “The role of big data and cognitive computing in the learning process,” Journal of Visual Languages and Computing, vol. 38, pp. 97–103, 2017, doi: 10.1016/j.jvlc.2016.03.002 [120] J. Lobo and Dewar. Rico-Bautista, “Implementación de la seguridad del protocolo de internet versión 6,” Gerencia tecnológica informática, vol. 11, no. 29, pp. 35–46, 2012. [121] B. Sánchez-Torres, J. A. Rodríguez-Rodríguez, D. W. Rico-Bautista, and C. D. Guerrero, “Smart Campus: Trends in cybersecurity and future development,” Revista Facultad de Ingeniería, vol. 27, no. 47, pp. 93–101, Jan. 2018, doi: 10.19053/01211129.v27.n47.2018.7807 [122] Katz. Matías David, “Redes y seguridad,” Alfaomega grupo editor, no. Mexico, p. 87, 2013 [123] B. Aziz, “A formal model and analysis of an IoT protocol,” Ad Hoc Networks, vol. 36, pp. 49–57, Jan. 2016, doi: 10.1016/J.ADHOC.2015.05.013 [124] N. Xiong, R. W. Liu, M. Liang, D. Wu, Z. Liu, and H. Wu, “Effective alternating direction optimization methods for sparsity-constrained blind image deblurring,” Sensors (Switzerland), vol. 17, no. 1, 2017, doi: 10.3390/s17010174 [125] W. Mujun, “Smart Campus-Based Study on Optimization Model for the Computer Information Processing Technology in Universities and Colleges,” Revista de la Facultad de Ingeniería, vol. 32, no. 15, pp. 524–529, 2017 [126] M. Stočes, J. Vaněk, J. Masner, and J. Pavlík, “Internet of Things (IoT) in Agriculture - Selected Aspects,” Agris on-line Papers in Economics and Informatics, vol. VIII, no. 1, pp. 83–88, 2016, doi: 10.7160/aol.2016.080108. [127] K. Taylor et al., “Farming the Web of Things,” IEEE Intelligent Systems, vol. 28, no. 6, pp. 12–19, 2013, doi: 10.1109/MIS.2013.102 [128] T. Arsan, “Smart Systems: From design to implementation of embedded Smart Systems,” in 2016 HONET-ICT, 2016, pp. 59–64. doi: 10.1109/HONET.2016.7753420 [129] G. F. Hurlburt, J. Voas, and K. W. Miller, “The Internet of Things: A Reality Check,” IT Professional, vol. 14, no. June, pp. 56–59, 2012, doi: 10.1109/MITP.2012.60. [130] M. Weyrich and C. Ebert, “Reference architectures for the internet of things,” IEEE Software, vol. 33, no. 1, pp. 112–116, 2016, doi: 10.1109/MS.2016.20. [131] K. Dar, A. Taherkordi, H. Baraki, F. Eliassen, and K. Geihs, “A resource oriented integration architecture for the Internet of Things: A business process perspective,” Pervasive and Mobile Computing, vol. 20. pp. 145–159, 2015. doi: 10.1016/j.pmcj.2014.11.0 [132] A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications,” IEEE Communications Surveys and Tutorials, vol. 17, no. 4, 2015, doi: 10.1109/COMST.2015.2444095. [133] D. Gagliardi, L. Schina, M. L. Sarcinella, G. Mangialardi, F. Niglia, and A. Corallo, “Information and communication technologies and public participation: interactive maps and value added for citizens,” Government Information Quarterly, vol. 34, no. 1, pp. 153–166, 2017, doi: 10.1016/j.giq.2016.09.002. [134] L. Tan, Lu Tan, and Neng Wang, “Future internet: The Internet of Things,” 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), pp. V5-376-V5-380, 2010, doi: 10.1109/ICACTE.2010.5579543 [135] European Technology Platform on Smart Systems Integration, Internet of Things in 2020. 2008. doi: 10.1007/978-3-319-49736-5_2 [136] I. F. Akyildiz, S. Nie, S. C. Lin, and M. Chandrasekaran, “5G roadmap: 10 key enabling technologies,” Computer Networks, vol. 106, pp. 17–48, 2016, doi: 10.1016/j.comnet.2016.06.010 [137] L. Atzori, A. Iera, and G. Morabito, “Understanding the Internet of Things: definition, potentials, and societal role of a fast evolving paradigm,” Ad Hoc Networks, vol. 56, pp. 122–140, 2017, doi: 10.1016/j.adhoc.2016.12.004 [138] M. Coccoli, A. Guercio, P. Maresca, and L. Stanganelli, “Smarter universities: A vision for the fast changing digital era,” Journal of Visual Languages & Computing, vol. 25, no. 6, pp. 1003–1011, Dec. 2014, doi: 10.1016/j.jvlc.2014.09.007 [139] C. Heinemann and V. L. Uskov, Smart Universities, vol. 70. 2018. doi: 10.1007/978-3-319-59454-5. [140] M. Bertolli, G. Roark, S. Urrutia, and F. Chiodi, “Revisión de modelos de madurez en la medición del desempeño,” INGE CUC, vol. 13, no. 1, pp. 70–83, Jan. 2017, doi: 10.17981/ingecuc.13.1.2017.07 [141] A. Acevedo, “Modelo de madurez para la transformación digital,” 2018. [142] F. W. Van Dijk, F. Willem, J. Van Hillegersberg, and M. Daneva, “Van Dijk - Cloud maturity models,” 2017. [143] D. Duarte and P. V. Martins, “A maturity model for higher education institutions,” CEUR Workshop Proceedings, vol. 731, pp. 25–45, 2011. [144] F. W. Van Dijk, F. Willem, J. Van Hillegersberg, and M. Daneva, “Van Dijk - Cloud maturity models,” 2017. [145] B. Henrik, “EVALUATION OF BIG DATA MATURITY MODELS - A BENCH- MARKING STUDY TO SUPPORT BIG DATA MATURITY AS- SESSMENT IN ORGANIZATIONS,” 2015 [146] M. Al-Ruithe and E. Benkhelifa, “Cloud data governance maturity model,” in Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing, Mar. 2017, pp. 1– 10. doi: 10.1145/3018896.3036394 [147] I. Mitchell and S. Isherwood, Cloud adoption The definitive guide to a business technology revolution, Fujitsu Se. 2014. doi: 10.1145/2554850.2555067 [148] B. White, H. Longenecker, P. Leidig, J. Reynolds, and D. Yarbrough, “Applicability of CMMI to the IS curriculum: a panel discussion,” Proceedings of the Information Systems Education Conference 2003, vol. 20, pp. 2–6, 2003 [149] C. Neuhauser, “A maturity model: Does it provide a path for online course design?,” Journal of Interactive Online Learning, vol. 3, no. 1, pp. 1–17, 2004 [150] I. Keshta, “A model for defining project lifecycle phases: Implementation of CMMI level 2 specific practice,” Journal of King Saud University - Computer and Information Sciences, Nov. 2019, doi: 10.1016/j.jksuci.2019.10.013. [151] E. Thompson et al., “Towards a learning process maturity model,” PhD Workshop 2004, vol. 9/2004, no. definition 3, pp. 8–16, 2004. [152] S. Mattoon, B. Hensle, and J. Baty, “Cloud Computing Maturity Model Mattoon, S., Hensle, B., & Baty, J. (2011). Cloud Computing Maturity Model Guiding Success with Cloud Capabilities. Computing, (December), 13.Guiding Success with Cloud Capabilities,” Computing, no. December, p. 13, 2011. [153] P. J. Schmidt, “Proposing a Cloud Computing Capability Maturity Model Proposing a Cloud Computing Capability Maturity Model,” 2015 [154] B. Henrik, “EVALUATION OF BIG DATA MATURITY MODELS - A BENCH- MARKING STUDY TO SUPPORT BIG DATA MATURITY AS- SESSMENT IN ORGANIZATIONS,” 2 [155] C. J. Galeano-Barrera, D. Bellón-Monsalve, S. A. Zabala-Vargas, E. Romero-Riaño, and V. uro-N. Duro-Novoa, “Identificación de los pilares que direccionan a una institución universitaria hacia un smart-campus,” Revista De Investigación, Desarrollo E Innovación, vol. 9, no. 1, pp. 127–145, 2018, doi: 10.19053/20278306.v9.n1.2018.8511 [156] M. Coccoli, P. Maresca, L. Stanganelli, and A. Guercio, “An experience of collaboration using a PaaS for the smarter university model,” Journal of Visual Languages and Computing, vol. 31, pp. 275–282, 2015, doi: 10.1016/j.jvlc.2015.10.014 [157] L. L. Ching, N. H. A. H. Malim, M. H. Husin, and M. M. Singh, “ICC - Smart university: reservation system with contactless technology,” in Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing - ICC ’17, 2017, p. 9. doi: 10.1145/3018896.3018903 [158] W. Filho, J. B. Andrade Guerra, M. Mifsud, and R. Pretorius, Universities as Living Labs for sustainable development: A global perspective, vol. 26. 2017. [159] O. Akhrif, Y. bouzekri el idrissi, and N. Hmina, “Enabling Smart Collaboration with Smart University Services,” 2019. doi: 10.1145/3331453.3361311. [160] O. Akhrif, C. Benfares, Y. El Bouzekri El Idrissi, and N. Hmina, “Collaborative learning services in the smart university environment,” ACM International Conference Proceeding Series, no. 3, 2019, doi: 10.1145/3368756.3369020 [161] A. El Sayed, Š. Suad, Ć. Fuad, and A. Novali, New Technologies, Development and Application II, vol. 76. Cham: Springer International Publishing, 2020. doi: 10.1007/978-3-030-18072-0. [162] P. Pornphol and T. Tongkeo, “Transformation from a traditional university into a smart university,” in Proceedings of the 6th International Conference on Information and Education Technology, Jan. 2018, pp. 144–148. doi: 10.1145/3178158.3178167 [163] O. J. Adeyemi, S. I. Popoola, A. A. Atayero, D. G. Afolayan, M. Ariyo, and E. Adetiba, “Exploration of daily Internet data traffic generated in a smart university campus,” Data in Brief, vol. 20, pp. 30–52, Oct. 2018, doi: 10.1016/j.dib.2018.07.039 [164] M. V. López Cabrera, E. Hernandez-Rangel, G. P. Mejía Mejía, and J. L. Cerano Fuentes, “Factors that enable the adoption of educational technology in medical schools,” Educacion Medica, vol. 20, no. xx, pp. 3–9, 2019, doi: 10.1016/j.edumed.2017.07.006 [165] J. Lin, H. Pu, Y. Li, and J. Lian, “Intelligent Recommendation System for Course Selection in Smart Education,” Procedia Computer Science, vol. 129, pp. 449–453, 2018, doi: 10.1016/j.procs.2018.03.023. [166] R. Bajaj and V. Sharma, “Smart Education with artificial intelligence based determination of learning styles,” Procedia Computer Science, vol. 132, pp. 834–842, 2018, doi: 10.1016/j.procs.2018.05.095 [167] S. El Janati, A. Maach, and D. El Ghanami, “SMART education framework for adaptation content presentation,” Procedia Computer Science, vol. 127, pp. 436–443, 2018, doi: 10.1016/j.procs.2018.01.141. [168] P. Fraser, J. Moultrie, and M. Gregory, “The_use_of_maturity_models_grids_as_a_to.” Cambridge, Reino Unido, 2003. doi: 10.1109 / IEMC.2002.1038431. [169] C. M. Christensen, “The Innovator’s Dilemma,” Business, 1997, doi: 10.1515/9783110215519.82 [170] C. M. Christensen, “The ongoing process of building a theory of disruption,” Journal of Product Innovation Management. 2006. doi: 10.1111/j.1540-5885.2005.00180.x. [171] M. Kuniavsky, “User Experience and HCI Section 1 : the boundaries of user experience,” HCI Handbook, pp. 1–37 [172] S. S. Rautaray and A. Agrawal, “Vision based hand gesture recognition for human computer interaction: a survey,” Artificial Intelligence Review, vol. 43, no. 1, pp. 1–54, 2012, doi: 10.1007/s10462-012-93569. [173] M. Seufert, S. Egger, M. Slanina, T. Zinner, T. Hossfeld, and P. Tran-gia, “A Survey on Quality of Experience of HTTP Adaptive Streaming,” Ieee Communication Surveys & Tutorials, vol. 17, no. 1, pp. 469–492, 2015, doi: 10.1109/COMST.2014.236094 [174] M. Turk, “Multimodal interaction: A review,” Pattern Recognition Letters, vol. 36, no. 1, pp. 189–195, 2014, doi: 10.1016/j.patrec.2013.07.003 [175] H.-S. Yeo, B.-G. Lee, and H. Lim, “Hand tracking and gesture recognition system for human-computer interaction using low-cost hardware,” Multimedia Tools and Applications, vol. 74, no. 8, pp. 2687– 2715, Sep. 2015, doi: 10.1007/s11042-013-1501-1 [176] K. Seaborn and D. I. Fels, “Gamification in theory and action: A survey,” International Journal of Human Computer Studies, vol. 74, pp. 14–31, 2015, doi: 10.1016/j.ijhcs.2014.09.006. [177] Y. Mengüç et al., “Wearable soft sensing suit for human gait measurement,” International Journal of Robotics Research, vol. 33, no. 14, pp. 1748–1764, 2014, doi: 10.1177/0278364914543793 [178] D. González-Ortega, F. J. Díaz-Pernas, M. Martínez-Zarzuela, and M. Antón-Rodríguez, “A Kinectbased system for cognitive rehabilitation exercises monitoring,” Computer Methods and Programs in Biomedicine, vol. 113, no. 2, pp. 620–631, 2014, doi: 10.1016/j.cmpb.2013.10.014 [179] S. Herath, M. Harandi, and F. Porikli, “Going deeper into action recognition: A survey,” Image and Vision Computing, vol. 60, pp. 4–21, Sep. 2017, doi: 10.1016/j.imavis.2017.01.010 [180] C. Lallemand, G. Gronier, and V. Koenig, “User experience: A concept without consensus? Exploring practitioners’ perspectives through an international survey,” Computers in Human Behavior, vol. 43, pp. 35–48, Sep. 2015, doi: 10.1016/j.chb.2014.10.048. [181] P. K. Pisharady and M. Saerbeck, “Recent methods and databases in vision-based hand gesture recognition: A review,” Computer Vision and Image Understanding, vol. 141, pp. 152–165, Sep. 2015, doi: 10.1016/j.cviu.2015.08.004. [182] H. Cheng, L. Yang, and Z. Liu, “A Survey on 3D Hand Gesture Recognition,” IEEE Transactions on Circuits and Systems for Video Technology, vol. PP, no. 99, p. 1, 2015, doi: 10.1109/TCSVT.2015.2469551. [183] P. Tsarouchi, S. Makris, and G. Chryssolouris, “Human – robot interaction review and challenges on task planning and programming,” International Journal of Computer Integrated Manufacturing, vol. 29, no. 8, pp. 916–931, Sep. 2016, doi: 10.1080/0951192X.2015.1130251. [184] J. Lorés and T. Granollers, “Ingeniería de la Usabilidad y de la Accesibilidad aplicada al diseño y desarrollo de sitios web,” no. May, pp. 3–7, 2004. [185] J. Mariano and G. Romano, “Introducción a la IPO,” Metro, 2008 [186] T. Granollers, “Usability Evaluation with Heuristics . New Proposal from Integrating Two Trusted Sources 2 Combining Common Heuristic Sets,” pp. 1–16, 2018. [187] L. Muñoz López, P. Antón Martínez, and S. Fernández Ciez, “Estudio y Guía metodológica sobre Ciudades Inteligentes,” 2015 [188] E. Ontiveros, D. Vizcaíno, and V. López Sabaer, Las ciudades del futuro : inteligentes , digitales y sostenibles futuro : inteligentes , digitales y sostenibles. 2016. [189] E. Del and D. Une, “Norma Española Accesibilidad Universal en las Ciudades Inteligentes,” 2017. [190] O. Iberoamericano, “Manual Iberoamericano de Indicadores de Educación Superior: Manual de Lima,” p. 88 p., 2016 [191] Ministerio de Modernización Innovación y Tecnología, “La Importancia de un Modelo de Planificación Estratégica para el Desarrollo de Ciudades Inteligentes,” p. 32, 2017 [192] P. Fernández, “Análisis de los factores de influencia en la adopción de herramientas colaborativas basadas en software social. Aplicación a entornos empresariales,” Universidad Politécnica de Madrid, 2015 [193] D. W. Rico-Bautista, “Conceptual framework for smart university,” Journal of Physics: Conference Series, vol. 1409, p. 012009, Nov. 2019, doi: 10.1088/1742-6596/1409/1/012009. [194] J. A. Parra Valencia, C. D. Guerrero, and D. Rico-Bautista, “IOT: una aproximación desde ciudad inteligente a universidad inteligente,” Revista Ingenio, vol. 13, no. 1, pp. 9–20, Jun. 2017, doi: 10.22463/2011642X.2128. [195] F. H. Cerdeira Ferreira and R. Mendes de Araujo, “Campus Inteligentes: Conceitos, aplicações, tecnologias e desafios.,” Relatórios Técnicos do DIA/UNIRIO, vol. 11, no. 1, pp. 4–19, 2018. [196] D. Rico-Bautista, C. D. Guerrero, Y. Medina-Cárdenas, and A. García-Barreto, “Analysis of the potential value of technology: Case of universidad francisco de paula santander O [197] D. Rico-Bautista, G. P. Maestre-Góngora, and C. D. Guerrero, “Caracterización de la situación actual de las tecnologías inteligentes para una Universidad inteligente en Colombia/Latinoamérica,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E27, pp. 484–501, 2020. [198] D. Rico-Bautista et al., “Smart University: Strategic map since the adoption of technology,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E28, pp. 711–724, 2020 [199] D. Rico-Bautista et al., “Smart University: Key Factors for a Cloud Computing Adoption Model,” Lecture Notes in Networks and Systems, vol. 334, pp. 85–93, 2022, doi: 10.1007/978-981-16-6369-7_8 [200] M. V. López Cabrera, E. Hernandez-Rangel, G. P. Mejía Mejía, and J. L. Cerano Fuentes, “Factores que facilitan la adopción de tecnología educativa en escuelas de medicina,” Educación Médica, vol. 20, pp. 3–9, Mar. 2019, doi: 10.1016/j.edumed.2017.07.006 [202] A. V. Martín García, Á. García del Dujo, and J. M. Muñoz Rodríguez, “Factores determinantes de adopción de blended learning en educación superior. Adaptación del modelo UTAUT*,” Educación XX1, vol. 17, no. 2, May 2014, doi: 10.5944/educxx1.17.2.11489 [203] M. Luzardo Briceño, B. E. Sandia Saldivia, A. S. Aguilar Jiménez, M. Macias Martínez, and J. Herrera Díaz, “Factores que influyen en la adopción de las Tecnologías de Información y Comunicación por parte de las universidades. Dimensión Enseñanza-Aprendizaje,” Educere, vol. 21, no. 68, pp. 143–153, 2017 [204] M. Frasquet Deltoro, A. Mollá Descals, and M. Eugenia Ruiz Molina, “Factores determinantes y consecuencias de la adopción del comercio electrónico B2C:una comparativa internacional,” Estudios Gerenciales, vol. 28, no. 123, pp. 101–120, Apr. 2012, doi: 10.1016/S0123-5923(12)70207-3. [205] D. Rico-Bautista et al., “Key Technology Adoption Indicators for Smart Universities: A Preliminary Proposal,” Lecture Notes in Networks and Systems, vol. 333, pp. 651–663, 2022, doi: 10.1007/978-98116-6309-3_61. [206] P. Hernández, R., Fernández, C. y Baptista, Libro Metodología de la Investigación 6ta edición SAMPIERI (PDF) \| Metodologiaecs. 2014 [207] S. M. Takey and M. M. Carvalho, “Fuzzy front end of systemic innovations: A conceptual framework based on a systematic literature review,” Technological Forecasting and Social Change, vol. 111, pp. 97–109, Oct. 2016, doi: 10.1016/j.techfore.2016.06.011 [208] P. Martins and J. de S. D. Duarte, “A Maturity Model for Higher Education Institutions,” Journal of Spatial and Organisational Dynamics , vol. 1, no. 1, 2013. [209] Z. Liu, Y. Yin, W. Liu, and M. Dunford, “Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis,” Scientometrics, 2015, doi: 10.1007/s11192-0141517-y. [210] J. A. Wise, “The ecological approach to text visualization,” Journal of the American Society for Information Science, 1999, doi: 10.1002/(SICI)1097-4571(1999)50:13<1224::AID-ASI8>3.0.CO;2-4. [211] J. E. Meissner, “VantagePoint,” Nursing, 1981, doi: 10.1097/00152193-198101000-00010. [212] L. Leydesdorff and T. Schank, “Dynamic animations of journal maps: Indicators of structural changes and interdisciplinary developments,” Journal of the American Society for Information Science and Technology, 2008, doi: 10.1002/asi.20891 [213] “Science of Science (Sci2) Tool,” in Encyclopedia of Social Network Analysis and Mining, 2018. doi: 10.1007/978-1-4939-7131-2_101025. [214] N. J. Van Eck and L. Waltman, “VOSviewer: A computer program for bibliometric mapping,” 2009 [215] “Network Workbench Tool,” in Encyclopedia of Social Network Analysis and Mining, 2014. doi: 10.1007/978-1-4614-6170-8_110035 [216] B. Vargas-Quesada and F. de Moya Aragón, Visualizing the structure of science. New York, NY, 2007. [217] L. A. R. Hoeffner and R. P. Smiraglia, “Visualizing domain coherence: Social informatics as a case study,” 2014. doi: 10.7152/acro.v23i1.14261. [218] K. Fujita, Y. Kajikawa, J. Mori, and I. Sakata, “Detecting research fronts using different types of weighted citation networks,” Journal of Engineering and Technology Management - JET-M, vol. 32, pp. 129–146, 2014, doi: 10.1016/j.jengtecman.2013.07.002. [219] A. Angelakis and K. Galanakis, “A science-based sector in the making: the formation of the biotechnology sector in two regions,” Regional Studies, 2017, doi: 10.1080/00343404.2016.1215601. [220] A. Gaur, B. Scotney, G. Parr, and S. McClean, “Smart city architecture and its applications based on IoT,” in Procedia Computer Science, 2015, vol. 52, no. 1. doi: 10.1016/j.procs.2015.05.122. [221] R. Díaz-Díaz, L. Muñoz, and D. Pérez-González, “Business model analysis of public services operating in the smart city ecosystem: The case of SmartSantander,” Future Generation Computer Systems, 2017, doi: 10.1016/j.future.2017.01.032. [222] A. Sampri, A. Mavragani, and K. P. Tsagarakis, “Evaluating Google Trends as a Tool for Integrating the ‘Smart Health’ Concept in the Smart Cities’ Governance in USA,” Procedia Engineering, vol. 162, pp. 585–592, 2016, doi: 10.1016/j.proeng.2016.11.104. [223] U. Rosati and S. Conti, “What is a Smart City Project? An Urban Model or A Corporate Business Plan?,” Procedia - Social and Behavioral Sciences, vol. 223, pp. 968–973, 2016, doi: 10.1016/j.sbspro.2016.05.332. [224] C. M. et. Al, “Mapping Smart Cities in the EU,” European Parliament, pp. 23–49, 2015. [225] G. P. Maestre Góngora, “Revisión de literatura sobre ciudades inteligentes: una perspectiva centrada en las TIC,” INGENIARE, no. 19, p. 137, Jul. 2015, doi: 10.18041/1909-2458/ingeniare.19.531 [226] X. Nie, “Constructing Smart Campus Based on the Cloud Computing Platform and the Internet of Things,” 2013. doi: 10.2991/iccsee.2013.395. [227] M. Cata, “Smart university, a new concept in the Internet of Things,” in 2015 14th RoEduNet International Conference - Networking in Education and Research (RoEduNet NER), Sep. 2015, pp. 195–197. doi: 10.1109/RoEduNet.2015.7311993 [228] V. A. F. Almeida, D. Doneda, and M. Monteiro, “Governance Challenges for the Internet of Things,” IEEE Internet Computing, vol. 19, no. 4, pp. 56–59, Jul. 2015, doi: 10.1109/MIC.2015.86 [229] S. Thiel, J. Mitchell, and J. Williams, “Coordination or Collision? The Intersection of Diabetes Care, Cybersecurity, and Cloud-Based Computing,” Journal of Diabetes Science and Technology, vol. 11, no. 2, pp. 195–197, Mar. 2017, doi: 10.1177/1932296816676189. [230] E. Borgia, “The Internet of Things vision: Key features, applications and open issues,” Computer Communications, vol. 54, pp. 1–31, Dec. 2014, doi: 10.1016/j.comcom.2014.09.008. [231] A. Jara, P. Moreno-Sanchez, A. Skarmeta, S. Varakliotis, and P. Kirstein, “IPv6 Addressing Proxy: Mapping Native Addressing from Legacy Technologies and Devices to the Internet of Things (IPv6),” Sensors, vol. 13, no. 5, pp. 6687–6712, May 2013, doi: 10.3390/s130506687. [232] E. Chinkes, Las Tecnologías de la Información y la Comunicación Potenciando la Universidad del Siglo XXI: Claves para una política TIC universitaria, vol. 1. 2015. doi: 10.1017/CBO9781107415324.004 [233] E. Chinkes, Potenciando la Universidad del Siglo XXI: Soluciones TIC para pensar la universidad del futuro. 2017 [234] RedCLARA, ACTAS TICAL 2016. 2016 [235] RedCLARA, ACTAS TICAL 2017. 2017 [236] RedCLARA, ACTAS TICAL 2018. 2018. [237] RedCLARA, ACTAS TICAL 2019. 2019 [238] O. Akhri, Y. El Bouzekri El Idrissi, and N. Hmina, “Enabling smart collaboration with smart university services,” in ACM International Conference Proceeding Series, 2019. doi: 10.1145/3331453.3361311. [239] D. Rico-Bautista et al., “Smart university: Strategic map since the adoption of technology [Universidad inteligente: Mapa estratégico desde la adopción de tecnología],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E28, pp. 711–724, 2020 [240] M. de L. Sigg, J. L. V. Cisneros, S. V. Reyes, and J. A. R. Salcedo, “Explicación de la Adopción de Tecnologías de Información en Pequeñas Empresas Usando el Modelo del Usuario Perezoso: un Caso de Estudio,” Iberian Journal of Information Systems and Technologies, no. e1, pp. 91–104, Mar. 2014, doi: 10.4304/risti.e1.91-104. [241] L. O. S. A. Erasmus et al., “Adopción de las tecnologías infocomunicacionales (TI) en Docentes: actualizando enfoques.,” Revista Electrónica Teoría de la Educación. Educación y Cultura en La Sociedad de la Información., vol. 10, pp. 310–337, 2009 [242] P. Brous, M. Janssen, and P. Herder, “The dual effects of the Internet of Things (IoT): A systematic review of the benefits and risks of IoT adoption by organizations,” International Journal of Information Management, vol. 51, p. 101952, Apr. 2020, doi: 10.1016/j.ijinfomgt.2019.05.008. [243] J. Martín et al., “Review of IoT applications in agro-industrial and environmental fields,” vol. 142, no. 118, pp. 283–297, 2017, doi: 10.1016/j.compag.2017.09.015. [244] A. Abushakra and D. Nikbin, Knowledge Management in Organizations, vol. 1027. Cham: Springer International Publishing, 2019. doi: 10.1007/978-3-030-21451-7 [245] D. Mourtzis, E. Vlachou, and N. Milas, “Industrial Big Data as a Result of IoT Adoption in Manufacturing,” Procedia CIRP, vol. 55, pp. 290–295, 2016, doi: 10.1016/j.procir.2016.07.038. [246] I. C. Ehie and M. A. Chilton, “Understanding the influence of IT/OT Convergence on the adoption of Internet of Things (IoT) in manufacturing organizations: An empirical investigation,” Computers in Industry, vol. 115, p. 103166, Feb. 2020, doi: 10.1016/j.compind.2019.103166. [247] L. Amodu, O. Odiboh, S. Usaini, D. Yartey, and T. Ekanem, “Data on security implications of the adoption of Internet of Things by public relations professionals,” Data in Brief, vol. 27, 2019, doi: 10.1016/j.dib.2019.104663. [248] H. Shaikh, M. S. Khan, Z. A. Mahar, M. Anwar, A. Raza, and A. Shah, “A Conceptual Framework for Determining Acceptance of Internet of Things (IoT) in Higher Education Institutions of Pakistan,” in 2019 International Conference on Information Science and Communication Technology (ICISCT), Mar. 2019, pp. 1–5. doi: 10.1109/CISCT.2019.8777431. [249] A. Abushakra and D. Nikbin, Knowledge Management in Organizations, vol. 1027. Cham: Springer International Publishing, 2019. doi: 10.1007/978-3-030-21451-7. [250] M. Mital, V. Chang, P. Choudhary, A. Papa, and A. K. Pani, “Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach,” Technological Forecasting and Social Change, vol. 136, pp. 339–346, 2018, doi: 10.1016/j.techfore.2017.03.001. [251] S. Lu and Y. P. Singh, “Scie enceDir rect ScienceDirect Analyz zing chal llenges t o Interne et of Thi ings ( IoT T ) adopt tion and ion : An Indian context c diffusi,” 2018, doi: 10.1016/j.procs.2017.12.094 [252] Y. Kao, K. Nawata, and C. Huang, “An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers,” 2019. [252] Y. Kao, K. Nawata, and C. Huang, “An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers,” 2019. [253] Y.-S. Kao, K. Nawata, and C.-Y. Huang, “An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers,” International Journal of Environmental Research and Public Health, vol. 16, no. 18, p. 3227, Sep. 2019, doi: 10.3390/ijerph16183227. [254] V. Venkatesh, J. Thong, and X. Xu, “Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead,” Journal of the Association for Information Systems, vol. 17, no. 5, pp. 328–376, May 2016, doi: 10.17705/1jais.00428 [255] E. González Arza, “Validación de la Teoría Unificada de Aceptación y Uso de la Tecnología UTAUT en castellano en el ámbito de las consultas externas de la Red de Salud Mental de Bizkaia,” Universitat Oberta de Catalunya, 2013. [256] T. Kr. Aune, H. Gjestland, J. Ø. Haagensen, B. Kittilsen, J. I. Skar, and H. Westengen, “Magnesium Alloys,” in Ullmann’s Encyclopedia of Industrial Chemistry, Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2003, pp. 1–19. doi: 10.1002/14356007.a15_581 [257] P. Palos-Sanchez, A. Reyes-Menendez, and J. R. Saura, “Models of adoption of information technology and cloud computing in organizations,” Informacion Tecnologica, vol. 30, no. 3, pp. 3–12, 2019, doi: 10.4067/S0718-07642019000300003 [258] P. Pinheiro, M. Aparicio, and C. Costa, “Adoption of cloud computing systems,” in Proceedings of the International Conference on Information Systems and Design of Communication - ISDOC ’14, 2014, pp. 127–131. doi: 10.1145/2618168.2618188 [259] H. Vasudavan, K. Shanmugam, and H. A. Ahmada, “User Perceptions in Adopting Cloud Computing in Autonomous Vehicle,” in Proceedings of the 6th International Conference on Information Technology: IoT and Smart City - ICIT 2018, 2018, pp. 151–156. doi: 10.1145/3301551.3301583 [260] F. Nikolopoulos and S. Likothanassis, “Using UTAUT2 for cloud computing technology acceptance modeling,” in Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing, Mar. 2017, no. March, pp. 1–6. doi: 10.1145/3018896.3025153 [261] U. Nasir and M. Niazi, “Cloud computing adoption assessment model (CAAM),” in Proceedings of the 12th International Conference on Product Focused Software Development and Process Improvement - Profes ’11, 2011, vol. 44, no. 0, pp. 34–37. doi: 10.1145/2181101.2181110. [262] M. Al-Ruithe, E. Benkhelifa, and K. Hameed, “Current State of Cloud Computing Adoption – An Empirical Study in Major Public Sector Organizations of Saudi Arabia (KSA),” Procedia Computer Science, vol. 110, pp. 378–385, 2017, doi: 10.1016/j.procs.2017.06.080 [263] P. Priyadarshinee, R. D. Raut, M. K. Jha, and B. B. Gardas, “Understanding and predicting the determinants of cloud computing adoption: A two staged hybrid SEM - Neural networks approach,” Computers in Human Behavior, vol. 76, pp. 341–362, Nov. 2017, doi: 10.1016/j.chb.2017.07.027 [264] K. Njenga, L. Garg, A. K. Bhardwaj, V. Prakash, and S. Bawa, “The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward,” Telematics and Informatics, vol. 38, no. May, pp. 225–246, May 2019, doi: 10.1016/j.tele.2018.10.007. [265] I. Arpaci, “Antecedents and consequences of cloud computing adoption in education to achieve knowledge management,” Computers in Human Behavior, vol. 70, pp. 382–390, May 2017, doi: 10.1016/j.chb.2017.01.024 [266] H. M. Sabi, F. E. Uzoka, K. Langmia, and F. N. Njeh, “Conceptualizing a model for adoption of cloud computing in education,” International Journal of Information Management, vol. 36, no. 2, pp. 183– 191, Apr. 2016, doi: 10.1016/j.ijinfomgt.2015.11.010 [267] P. Palos-Sanchez, A. Reyes-Menendez, and J. R. Saura, “Modelos de Adopción de Tecnologías de la Información y Cloud Computing en las Organizaciones,” Información tecnológica, vol. 30, no. 3, pp. 3–12, Jun. 2019, doi: 10.4067/S0718-07642019000300003 [268] M. Shorfuzzaman, M. S. Hossain, A. Nazir, G. Muhammad, and A. Alamri, “Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment,” Computers in Human Behavior, vol. 92, pp. 578–588, Mar. 2019, doi: 10.1016/j.chb.2018.07.002 [269] F. P. S. Surbakti, W. Wang, M. Indulska, and S. Sadiq, “Factors influencing effective use of big data: A research framework,” Information & Management, vol. 57, no. 1, p. 103146, Jan. 2020, doi: 10.1016/j.im.2019.02.001 [270] S. Das, “‘The Early Bird Catches the Worm - First Mover Advantage through IoT Adoption for Indian Public Sector Retail Oil Outlets,’” Journal of Global Information Technology Management, vol. 22, no. 4, pp. 280–308, Oct. 2019, doi: 10.1080/1097198X.2019.1679588 [271] A. M. Al-Momani, M. A. Mahmoud, and M. S. Ahmad, “A Review of Factors Influencing Customer Acceptance of Internet of Things Services,” International Journal of Information Systems in the Service Sector, vol. 11, no. 1, pp. 54–67, Jan. 2019, doi: 10.4018/IJISSS.2019010104 [272] D. Nikbin and A. Abushakra, “Internet of Things Adoption: Empirical Evidence from an Emerging Country,” in Communications in Computer and Information Science, 2019, pp. 348–352. doi: 10.1007/978-3-030-21451-7_30 [273] B. Sivathanu, “Adoption of internet of things (IOT) based wearables for healthcare of older adults – a behavioural reasoning theory (BRT) approach,” Journal of Enabling Technologies, vol. 12, no. 4, pp. 169–185, Dec. 2018, doi: 10.1108/JET-12-2017-0048 [274] A. M. Al-Momani, M. A. Mahmoud, and M. S. Ahmad, “Factors that Influence the Acceptance of Internet of Things Services by Customers of Telecommunication Companies in Jordan,” Journal of Organizational and End User Computing, vol. 30, no. 4, pp. 51–63, Oct. 2018, doi: 10.4018/JOEUC.2018100104. [275] E. E. Grandon, A. A. Ibarra, S. A. Guzman, P. Ramirez-Correa, and J. Alfaro-Perez, “Internet of Things: Factors that influence its adoption among Chilean SMEs,” in 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), Jun. 2018, vol. 2018-June, pp. 1–6. doi: 10.23919/CISTI.2018.8399183 [276] M. Tu, “An exploratory study of Internet of Things (IoT) adoption intention in logistics and supply chain management,” The International Journal of Logistics Management, vol. 29, no. 1, pp. 131–151, Feb. 2018, doi: 10.1108/IJLM-11-2016-0274 [277] M. Trujillo Suárez, J. J. Aguilar, and C. Neira, “Los métodos más característicos del diseño centrado en el usuario -DCU-, adaptados para el desarrollo de productos materiales,” Iconofacto, vol. 12, no. 19, pp. 215–236, 2016, doi: 10.18566/iconofact.v12.n19.a09. [278] M. Greer and H. S. Harris, “User-Centered Design as a Foundation for Effective Online Writing Instruction,” Computers and Composition, vol. 49, no. 2017, pp. 14–24, 2018, doi: 10.1016/j.compcom.2018.05.006 [278] M. Greer and H. S. Harris, “User-Centered Design as a Foundation for Effective Online Writing Instruction,” Computers and Composition, vol. 49, no. 2017, pp. 14–24, 2018, doi: 10.1016/j.compcom.2018.05.006. [279] Y. Han and M. Moghaddam, “Analysis of sentiment expressions for user-centered design,” Expert Systems with Applications, vol. 171, p. 114604, 2021, doi: https://doi.org/10.1016/j.eswa.2021.114604. [280] T. Xu, Study on user experience design of mobile application interfaces, vol. 1018. Springer International Publishing, 2020. doi: 10.1007/978-3-030-25629-6_80 [281] 2019 ISO Standard, “International Standard interactive systems,” Iso 9241-210:2019, vol. 2019, 2019. [282] O. Ayalon and E. Toch, “User-Centered Privacy-by-Design: Evaluating the Appropriateness of Design Prototypes,” International Journal of Human Computer Studies, vol. 154, no. March, p. 102641, 2021, doi: 10.1016/j.ijhcs.2021.102641 [283] M. François, F. Osiurak, A. Fort, P. Crave, and J. Navarro, “Usability and acceptance of truck dashboards designed by drivers: Two participatory design approaches compared to a user-centered design,” International Journal of Industrial Ergonomics, vol. 81, no. November 2019, p. 103073, 2021, doi: 10.1016/j.ergon.2020.103073. [284] A. C. Luis, T. E. M. Elizabeth, F. V. Jesús, R. U. M. Deyanira, and A. S. J., “Interacción HumanoComputadora,” pp. 195–232, 2016 [285] Ideo, “Diseño centrado en las personas,” 2019 [286] P. M. A. Desmet, H. Xue, and S. F. Fokkinga, “The Same Person Is Never the Same: Introducing MoodStimulated Thought/Action Tendencies for User-Centered Design,” She Ji, vol. 5, no. 3, pp. 167–187, 2019, doi: 10.1016/j.sheji.2019.07. [287] L. M. Kopf and J. Huh-Yoo, “A User-Centered Design Approach to Developing a Voice Monitoring System for Disorder Prevention,” Journal of Voice, vol. 3200, 2020, doi: 10.1016/j.jvoice.2020.10.015 [288] L. Bu, C. H. Chen, K. K. H. Ng, P. Zheng, G. Dong, and H. Liu, “A user-centric design approach for smart product-service systems using virtual reality: A case study,” Journal of Cleaner Production, vol. 280, p. 124413, 2021, doi: 10.1016/j.jclepro.2020.124413 [289] H. Khalajzadeh, T. Verma, A. J. Simmons, J. Grundy, M. Abdelrazek, and J. Hosking, “User-centred tooling for modelling of big data applications,” Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS-C 2020 - Companion Proceedings, pp. 31–35, 2020, doi: 10.1145/3417990.3422004 [290] G. A. García-Mireles, M. Á. Moraga, and F. García, “Development of maturity models: A systematic literature review,” IET Seminar Digest, vol. 2012, no. 1, pp. 279–283, 2012, doi: 10.1049/ic.2012.0036 [291] J. Wang and A. Moulden, “AI Trust Score: A User-Centered Approach to Building, Designing, and Measuring the Success of Intelligent Workplace Features,” Conference on Human Factors in Computing Systems - Proceedings, 2021, doi: 10.1145/3411763.3443452. [292] J. Escobar-Pérez and Á. Cuervo-Martínez, “Validez de contenido y juicio de expertos: una aproximación a su utilización,” Avances en medición, vol. 6, no. 1, pp. 27–36, 2008. [293] G. C. Vázquez González, I. U. Jiménez Macías, and L. G. Juárez Hernández, “Construction-validation of the questionnaire: Maturity of knowledge management to educational innovation in universities,” Apertura, vol. 12, no. 1, Mar. 2020, doi: 10.32870/Ap.v12n1.1767. [294] J. Escobar and Á. Cuervo, “Validez de contenido y juicio de expertos: una aproximación a su utilización,” Polymer, 2008. [295] J. S. Grant and L. L. Davis, “Selection and use of content experts for instrument development,” Research in Nursing & Health, vol. 20, no. 3, pp. 269–274, 1997, doi: 10.1002/(sici)1098240x(199706)20:3<269::aid-nur9>3.3.co;2-3 [296] R. Skjong and B. H. Wentworth, “Expert judgment and risk perception,” Proceedings of the International Offshore and Polar Engineering Conference, vol. 4, pp. 537–544, 2001. [297] A. Raza, L. F. Capretz, and F. Ahmed, “An open source usability maturity model (OS-UMM),” Computers in Human Behavior, vol. 28, no. 4, pp. 1109–1121, 2012, doi: 10.1016/j.chb.2012.01.018 [298] S. Beecham, T. Hall, C. Britton, M. Cottee, and A. Rainer, “Using an expert panel to validate a requirements process improvement model,” The journal of systems and software, vol. 76, pp. 251–275, 2005, doi: 10.1016/j.jss.2004.06.004 [299] C. Shaoyong, T. Yirong, and L. Zhefu, “UNITA : A Reference Model of University IT Architecture,” ICCIS ’16: Proceedings of the 2016 International Conference on Communication and Information Systems, pp. 73–77, 2016, doi: 10.1145/3023924.3023949 [300] H. Chaoui and I. Makdoun, “A new secure model for the use of cloud computing in big data analytics,” pp. 1–11, 2018, doi: 10.1145/3018896.3018913 [301] S. Chaveesuk, P. Wutthirong, and W. Chaiyasoonthorn, “Cloud Computing Classroom Acceptance Model in Thailand Higher Education’s Institutes,” in Proceedings of the 2018 10th International Conference on Information Management and Engineering - ICIME 2018, 2018, pp. 141–145. doi: 10.1145/3285957.3285989 [302] F. Nikolopoulos, “Using UTAUT2 for Cloud Computing Technology Acceptance Modeling,” no. 1995, 2017 [303] B. B. Rad, T. Diaby, and M. E. Rana, “Cloud Computing Adoption,” in Proceedings of the 2017 International Conference on E-commerce, E-Business and E-Government - ICEEG 2017, 2017, no. June, pp. 51–55. doi: 10.1145/3108421.3108426 [304] E. H. Steele and I. R. Guzman, “Investigating the Role of Top Management and Institutional Pressures in Cloud Computing Adoption,” pp. 25–26, 2016. [305] A. M. Shaaban, C. Schmittner, T. Gruber, G. Quirchmayr, and E. Schikuta, “CloudWoT - A Reference Model for Knowledge-based IoT Solutions,” 2018, doi: 10.1145/3282373.3282400. [306] M. Basingab, L. Rabelo, C. Rose, and E. Gutiérrez, “Business Modeling Based on Internet of Things : A Case Study of Predictive Maintenance Software Using ABS Model,” 2017, doi: 10.1145/3018896.3018905 [307] M.-C. Vega-Hernández, M.-C. Patino-Alonso, and M.-P. Galindo-Villardón, “Multivariate characterization of university students using the ICT for learning,” Computers & Education, vol. 121, pp. 124–130, Jun. 2018, doi: 10.1016/j.compedu.2018.03.004. [308] u-planner, “U-planner,” 2019 [309] Bizagi, “Bizagi,” 2019 [309] Bizagi, “Bizagi,” 2019. [310] Analytikus, “Analytikus,” [311] Y. Medina and Dewar. Rico-Bautista, “Modelo de gestión de servicios para la universidad de Pamplona: ITIL,” Scientia Et Technica, vol. XIV, no. 39, pp. 314–319, 2008 [312] Y. Medina-Cárdenas and D. Rico- Bautista, “Modelo de gestión basado en el ciclo de vida del servicio de la Biblioteca de Infraestructura de Tecnologías de Información ( ITIL ),” Revista Virtual Universidad Católica del Norte, no. 27, pp. 1–21, 2009. [313] M. V Bueno-Delgado, P. Pavón-Marino, A. De-Gea-García, and A. Dolón-García, “The Smart University Experience: An NFC-Based Ubiquitous Environment,” in 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2012, pp. 799–804. doi: 10.1109/IMIS.2012.110 [314] O. A. Shvetsova, “Smart education in high school: New perspectives in global world,” in Proceedings of the 2017 International Conference “Quality Management, Transport and Information Security, Information Technologies”, IT and QM and IS 2017, 2017, pp. 688–691. doi: 10.1109/ITMQIS.2017.8085917. [315] T. Savov, V. Terzieva, K. Todorova, and P. Kademova-Katzarova, “CONTEMPORARY TECHNOLOGY SUPPORT FOR EDUCATION,” CBU International Conference Proceedings, vol. 5, pp. 802–806, Sep. 2017, doi: 10.12955/cbup.v5.1029. [316] A. M. Shaaban, C. Schmittner, T. Gruber, G. Quirchmayr, and E. Schikuta, “CloudWoT - A Reference Model for Knowledge-based IoT Solutions,” 2018, doi: 10.1145/3282373.3282400. [317] S. Chen, Y. Tang, and Z. Li, “UNITA: A reference model of university IT architecture,” in ACM International Conference Proceeding Series, 2016, pp. 73–77. doi: 10.1145/3023924.3023949 [318] E. Barrientos-Avendaño and Y. Areniz-Arévalo, “Universidad inteligente: Oportunidades y desafíos desde la Industria 4.0,” Revista Ingenio UFPSO, vol. 16, no. 1, 2019, doi: 10.22463/2011642X.2343. [319] E. Barrientos-Avendaño, Y. Areniz-Arevalo, L. A. Coronel-Rojas, F. Cuesta-Quintero, and D. RicoBautista, “Industry foray model 4.0 applied to the food company your gourmet bread sas: Strategy for rebirth in the COVID-19 (SARS-CoV-2) pandemic [Modelo de incursión en la industria 4.0 aplicado a la compañía alimenticia tu pan gourmet sas: estrategia para el rena,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E34, pp. 436–449, 2020. [320] C. D. Guerrero and D. Rico-Bautista, “Center for excellence and internet acquisition of things: A commitment to competitiveness from alliances between government, academia and productive sector [Centro de excelencia y apropiación en internet de las cosas: Una apuesta a la competitividad desde,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E28, pp. 615–628, 202 [321] D. Mourtzis, E. Vlachou, and N. Milas, “Industrial Big Data as a Result of IoT Adoption in Manufacturing,” Procedia CIRP, vol. 55, pp. 290–295, 2016, doi: 10.1016/j.procir.2016.07.038. [322] I. C. Ehie and M. A. Chilton, “Understanding the influence of IT/OT Convergence on the adoption of Internet of Things (IoT) in manufacturing organizations: An empirical investigation,” Computers in Industry, vol. 115, p. 103166, Feb. 2020, doi: 10.1016/j.compind.2019.103166. [323] H. Xu, “Application of Cloud Computing Information Processing System in Network Education,” in International Conference on Applications and Techniques in Cyber Intelligence, ATCI 2019, vol. 1017, A. J.H., C. K.-K.R., I. R., X. Z., and A. M., Eds. Dianchi College of Yunnan University, Kunming, 650000, China: Springer Verlag, 2020, pp. 1809–1815. doi: 10.1007/978-3-030-25128-4_238 [324] Y. C. Medina Cárdenas, Y. Areniz Arévalo, and D. W. Rico Bautista, Modelo estratégico para la gestión tecnológica en la organización: plan táctico de la calidad (ITIL & ISO 20000), vol. 1. Instituto Tecnológico Metropolitano, 2016. doi: 10.22430/9789585414006 [325] Y. Medina-Cárdenas and D. Rico-Bautista, “Model of Administration of Services for the Universidad of Pamplona: ITIL,” Scientia Et Technica Scientia et Technica Año XIV, vol. 14, no. 39, pp. 314–319, 2008 [326] R. D. Raut, P. Priyadarshinee, B. B. Gardas, and M. K. Jha, “Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach,” Technological Forecasting and Social Change, vol. 134, no. July 2017, pp. 98–123, Sep. 2018, doi: 10.1016/j.techfore.2018.05.020 [327] R. El-Gazzar, E. Hustad, and D. H. Olsen, “Understanding cloud computing adoption issues: A Delphi study approach,” Journal of Systems and Software, vol. 118, pp. 64–84, Aug. 2016, doi: 10.1016/j.jss.2016.04.061 [328] J. Cecil, “A Collaborative Manufacturing Approach supporting adoption of IoT Principles in Micro Devices Assembly,” Procedia Manufacturing, vol. 26, pp. 1265–1277, 2018, doi: 10.1016/j.promfg.2018.07.141 [329] W. Hao, Z. Huang, and L. Shi, “Research on college students’ ideological and political education and daily performance evaluation model based on big data,” Journal of Advanced Oxidation Technologies, vol. 21, no. 2, 2018, doi: 10.26802/jaots.2018.01625 [330] Y. H. Kim and J. Ahn, “A Study on the Application of Big Data to the Korean College Education System,” Procedia Computer Science, vol. 91, no. Itqm 2016, pp. 855–861, 2016, doi: 10.1016/j.procs.2016.07.096 [331] T. G. Ramos, J. C. F. Machado, and B. P. V. Cordeiro, “Primary Education Evaluation in Brazil Using Big Data and Cluster Analysis,” Procedia Computer Science, vol. 55, no. Itqm, pp. 1031–1039, 2015, doi: 10.1016/j.procs.2015.07.061 [332] R. H. Hamilton and W. A. Sodeman, “The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources,” Business Horizons, vol. 63, no. 1, pp. 85–95, Jan. 2020, doi: 10.1016/j.bushor.2019.10.001 [333] J. Wu, H. Li, L. Liu, and H. Zheng, “Adoption of big data and analytics in mobile healthcare market: An economic perspective,” Electronic Commerce Research and Applications, vol. 22, pp. 24–41, Mar. 2017, doi: 10.1016/j.elerap.2017.02.002 [334] Z. Allam and Z. A. Dhunny, “On big data, artificial intelligence and smart cities,” Cities, vol. 89, no. January, pp. 80–91, Jun. 2019, doi: 10.1016/j.cities.2019.01.032 [335] M. A. Goralski and T. K. Tan, “Artificial intelligence and sustainable development,” The International Journal of Management Education, vol. 18, no. 1, p. 100330, Mar. 2020, doi: 10.1016/j.ijme.2019.100330. [336] C. R. Deig, A. Kanwar, and R. F. Thompson, “Artificial Intelligence in Radiation Oncology,” Hematology/Oncology Clinics of North America, vol. 33, no. 6, pp. 1095–1104, Dec. 2019, doi: 10.1016/j.hoc.2019.08.003 [337] M. Chassignol, A. Khoroshavin, A. Klimova, and A. Bilyatdinova, “Artificial Intelligence trends in education: a narrative overview,” Procedia Computer Science, vol. 136, pp. 16–24, 2018, doi: 10.1016/j.procs.2018.08.233 [338] E. Barrientos-Avendaño, L. A. Coronel-Rojas, F. Cuesta-Quintero, and D. Rico-Bautista, “Store-tostore sales management system: Applying artificial intelligence techniques [Sistema de administración de ventas tienda a tienda: Aplicando técnicas de inteligencia artificial],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E27, pp. 677–689, 2020. [339] A. Kankanhalli, Y. Charalabidis, and S. Mellouli, “IoT and AI for Smart Government: A Research Agenda,” Government Information Quarterly, vol. 36, no. 2, pp. 304–309, Apr. 2019, doi: 10.1016/j.giq.2019.02.003 [340] A. Y. Sheikh and J. I. Fann, “Artificial Intelligence,” Thoracic Surgery Clinics, vol. 29, no. 3, pp. 339– 350, Aug. 2019, doi: 10.1016/j.thorsurg.2019.03.011 [341] A. Haleem, M. Javaid, and I. H. Khan, “Current status and applications of Artificial Intelligence (AI) in medical field: An overview,” Current Medicine Research and Practice, vol. 9, no. 6, pp. 231–237, Nov. 2019, doi: 10.1016/j.cmrp.2019.11.005 [342] T. Granollers i Saltiveri, “MPIu+a. Una metodología que integra la Ingeniería del Software, la Interacción Persona-Ordenador y la Accesibilidad en el contexto de equipos de desarrollo multidisciplinares,” 2004 [343] U. de Lleida, “Departament de Llenguatges i Sistemes Informàtics Universitat de Lleida Lleida, julio 2004,” Screen, 2004 [344] V. De Freitas, “Model of Maturity in Knowledge Management System, From a Holistic Approach,” Negotium, vol. Revista Ci, pp. 5–31, 2018 [345] F. RICHARDSON and G. LEóN, “Instrumento para determinar el nivel de madurez en la adopción de tecnologías escolar en la educación primaria en escuelas públicas de la República Dominicana,” 2019. [346] L. C. Ñungo Pinzón, B. Torres González, and J. I. Palacios Osma, “Modelo de nivel de madurez para los procesos de emprendimiento en las pymes colombianas,” Ingeniería Solidaria, vol. 14, no. 26, Dec. 2018, doi: 10.16925/in.v14i26.2456. [347] L. v. Glukhova, S. D. Syrotyuk, A. A. Sherstobitova, and S. v. Pavlova, “Smart University Development Evaluation Models,” in Smart Innovation, Systems and Technologies, vol. 144, Springer Science and Business Media Deutschland GmbH, 2019, pp. 539–549. doi: 10.1007/978-981-13-8260-4_47 [348] D. Lee, J. Gu, and H. Jung, “Process maturity models: Classification by application sectors and validities studies,” Journal of Software: Evolution and Process, vol. 31, no. 4, p. e2161, Apr. 2019, doi: 10.1002/smr.2161. [349] S. Beecham, T. Hall, and A. Rainer, “Defining a Requirements Process Improvement Model,” Software Quality Journal, vol. 13, no. 3, pp. 247–279, Sep. 2005, doi: 10.1007/s11219-005-1752-9. [350] U. Benjamín et al., “EVALUACIÓN DE LA MADUREZ DE LOS PRINCIPIOS LEAN EN PROYECTOS DE CONSTRUCCIÓN,” 2016 [351] M. Gina and P. M. Gongora, “FRAMEWORK DE GESTIÓN DE TECNOLOGÍAS DE INFORMACIÓN PARA CIUDADES INTELIGENTES: CASO COLOMBIANO TESIS DOCTORAL,” Barranquilla, 2017. [352] L. C. Ñungo Pinzón, B. Torres González, and J. I. Palacios Osma, “Modelo de nivel de madurez para los procesos de emprendimiento en las pymes colombianas,” Ingeniería Solidaria, vol. 14, no. 26, 2018, doi: 10.16925/in.v14i26.2456 [353] R. Morales Fernandez, J. A. Brieto Rojas, and J. A. Villaseñor Marcial, “CMMI - Capability Maturity Model Integration,” MIPRO 2008 - 31st International Convention Proceedings: Digital Economy - 5th ALADIN, Information Systems Security, Business Intelligence Systems, Local Government and Student Papers, vol. 5, no. Cmmi, pp. 229–234, 2008. [354] E. Pérez Mergarejo, I. Pérez Vergara, and Y. Rodriguez Ruiz, “Modelos de madurez y su idoneidad para aplicar en pequeñas y medianas empresas / Maturity models and the suitability of its application in small and medium enterprises,” Ingeniería Industrial, vol. XXXV, no. 2, pp. 146–158, 20 [355] R. Galeano, “Diseño Hipermedia centrado en el usuario,” Universidad Pontificia Bolivariana, vol. 2, no. 4, pp. 1–15, 2008 [356] T. Granollers, “Diseño Centrado en el Usuario (DCU). El modelo MPlu+a,” p. 71, 2013 [357] M. Garreta Domingo and E. Mor Pera, “Diseño centrado en el usuario (I). Introducción,” El Profesional de la Informacion, vol. 12, no. 1, pp. 52–54, 2003, doi: 10.1076/epri.12.1.52.19713. [358] L. Perurena Cancio and M. Moráguez Bergues, “Usabilidad de los sitios Web, los métodos y las técnicas para la evaluación,” Usabilidad de los sitios Web, los métodos y las técnicas para la evaluación, vol. 24, no. 2, pp. 176–194, 2013 [359] E. E. Grandon, A. A. Ibarra, S. A. Guzman, P. Ramirez-Correa, and J. Alfaro-Perez, “Internet of Things: Factors that influence its adoption among Chilean SMEs,” in 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), Jun. 2018, pp. 1–6. doi: 10.23919/CISTI.2018.8399183. [360] F. Authors, “An exploratory study of Internet of Things ( IoT ) adoption intention in logistics and supply chain management - a mixed research approach,” 2016 [361] P. Brous, M. Janssen, and P. Herder, “The dual effects of the Internet of Things ( IoT ): A systematic review of the benefits and risks of IoT adoption by organizations,” International Journal of Information Management, no. May, pp. 1–17, 2019, doi: 10.1016/j.ijinfomgt.2019.05.008 [362] H. Shaikh, Z. A. Mahar, and A. Raza, “A Conceptual Framework for Determining Acceptance of Internet of Things ( IoT ) in Higher Education Institutions of Pakistan,” 2019 International Conference on Information Science and Communication Technology (ICISCT), pp. 1–5, 2019. [363] M. Mital, P. Choudhary, V. Chang, A. Papa, and A. K. Pani, “Technological Forecasting & Social Change Adoption of Internet of Things in India : A test of competing models using a structured equation modeling approach,” Technological Forecasting & Social Change, pp. 1–8, 2017, doi: 10.1016/j.techfore.2017.03.001 [364] S. Kang, H. B. Rn, E. Jung, and H. Hwang, “Survey on the demand for adoption of Internet of Things ( IoT ) -based services in hospitals : Investigation of nurses ’ perception in a tertiary university hospital,” Applied Nursing Research, vol. 47, no. May 2018, pp. 18–23, 2019, doi: 10.1016/j.apnr.2019.03.005 [365] F. Authors, “Adoption of internet of things ( IOT ) based wearables for elderly healthcare – a behavioural reasoning theory ( BRT ) approach,” 2018, doi: 10.1108/JET-12-2017-0048. [366] R. BaÅ¡kovÃ¡, Z. StrukovÃ¡, and M. KozlovskÃ¡, “Construction Cost Saving Through Adoption of IoT Applications in Concrete Works,” Lecture Notes in Civil Engineering, vol. 47, pp. 452–459, 2020, doi: 10.1007/978-3-030-27011-7_57 [367] Y. Kao, K. Nawata, and C. Huang, “An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers,” 2019. [368] M. Mital, P. Choudhary, V. Chang, A. Papa, and A. K. Pani, “Technological Forecasting & Social Change Adoption of Internet of Things in India : A test of competing models using a structured equation modeling approach,” Technological Forecasting & Social Change, pp. 1–8, 2017, doi: 10.1016/j.techfore.2017.03.001 [369] M. Fahmideh and D. Zowghi, “An exploration of IoT platform development,” Information Systems, vol. 87, p. 101409, 2020, doi: 10.1016/j.is.2019.06.005 [370] S. Kang, H. B. Rn, E. Jung, and H. Hwang, “Survey on the demand for adoption of Internet of Things ( IoT ) -based services in hospitals : Investigation of nurses ’ perception in a tertiary university hospital,” Applied Nursing Research, vol. 47, no. May 2018, pp. 18–23, 2019, doi: 10.1016/j.apnr.2019.03.005 [371] M. Al-Emran, S. I. Malik, and M. N. Al-Kabi, “A Survey of Internet of Things (IoT) in Education: Opportunities and Challenges,” Studies in Computational Intelligence, vol. 846, pp. 197–209, 2020, doi: 10.1007/978-3-030-24513-9_12 [372] H. Shaikh, Z. A. Mahar, and A. Raza, “A Conceptual Framework for Determining Acceptance of Internet of Things ( IoT ) in Higher Education Institutions of Pakistan,” 2019 International Conference on Information Science and Communication Technology (ICISCT), pp. 1–5, 2019. [373] R. Scherer, F. Siddiq, and J. Tondeur, “The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education,” Computers and Education, vol. 128, pp. 13–35, 2019, doi: 10.1016/j.compedu.2018.09.009. [374] Y. S. Kao, K. Nawata, and C. Y. Huang, “An exploration and confirmation of the factors influencing adoption of IoT-basedwearable fitness trackers,” International Journal of Environmental Research and Public Health, vol. 16, no. 18, 2019, doi: 10.3390/ijerph16183227. [375] P. K. Paul, “Usability engineering and hci for promoting root-level social computation and informatics practice: A possible academic move in the indian perspective,” International Journal of Asian Business and Information Management, vol. 12, no. 2, pp. 96–109, 2021, doi: 10.4018/IJABIM.20210401.oa6 [376] M. A. Castaño González, “Índice de madurez de transformación digital de las empresas Colombianas,” Cintel, pp. 1–36, 2016 [377] P. Pinheiro, M. Aparicio, and C. Costa, “Adoption of cloud computing systems,” in Proceedings of the International Conference on Information Systems and Design of Communication - ISDOC ’14, 2014, pp. 127–131. doi: 10.1145/2618168.2618188 [378] H. Xu, International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019, vol. 1017. Cham: Springer International Publishing, 2020. doi: 10.1007/978-3-030-25128-4 [379] B. B. Rad, T. Diaby, and M. E. Rana, “Cloud Computing Adoption,” in Proceedings of the 2017 International Conference on E-commerce, E-Business and E-Government - ICEEG 2017, 2017, pp. 51– 55. doi: 10.1145/3108421.3108426 [380] B. B. Rad, T. Diaby, and M. E. Rana, “Cloud Computing Adoption,” in Proceedings of the 2017 International Conference on E-commerce, E-Business and E-Government - ICEEG 2017, 2017, pp. 51– 55. doi: 10.1145/3108421.3108426 [381] H. Vasudavan, K. Shanmugam, and H. A. Ahmada, “User Perceptions in Adopting Cloud Computing in Autonomous Vehicle,” in Proceedings of the 6th International Conference on Information Technology: IoT and Smart City - ICIT 2018, 2018, pp. 151–156. doi: 10.1145/3301551.3301583 [382] D. S. Jat, M. S. Haodom, and A. Peters, “Relevance of Cloud Computing in Namibia,” in Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies - ICTCS ’16, 2016, pp. 1–4. doi: 10.1145/2905055.2905301 [383] T. Branco, F. de Sá-Soares, and A. L. Rivero, “Key Issues for the Successful Adoption of Cloud Computing,” Procedia Computer Science, vol. 121, pp. 115–122, 2017, doi: 10.1016/j.procs.2017.11.016. [384] R. D. Raut, P. Priyadarshinee, B. B. Gardas, and M. K. Jha, “Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach,” Technological Forecasting and Social Change, vol. 134, no. July 2017, pp. 98–123, Sep. 2018, doi: 10.1016/j.techfore.2018.05.020 [385] R. El-Gazzar, E. Hustad, and D. H. Olsen, “Understanding cloud computing adoption issues: A Delphi study approach,” Journal of Systems and Software, vol. 118, pp. 64–84, Aug. 2016, doi: 10.1016/j.jss.2016.04.061 [386] D. S. Jat, M. S. Haodom, and A. Peters, “Relevance of Cloud Computing in Namibia,” in Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies - ICTCS ’16, 2016, pp. 1–4. doi: 10.1145/2905055.29053 [387] M. Al-Ruithe, E. Benkhelifa, and K. Hameed, “Current State of Cloud Computing Adoption – An Empirical Study in Major Public Sector Organizations of Saudi Arabia (KSA),” Procedia Computer Science, vol. 110, pp. 378–385, 2017, doi: 10.1016/j.procs.2017.06.080 [388] O. Sabri, “Measuring is Success Factors of Adopting Cloud Computing from Enterprise Overview,” in Proceedings of the The International Conference on Engineering & MIS 2015 - ICEMIS ’15, 2015, pp. 1–5. doi: 10.1145/2832987.2832993 [389] F. Alharbi, A. Atkins, and C. Stanier, “Cloud Computing Adoption Readiness Assessment in Saudi Healthcare Organisations : A Strategic View,” 2017. [390] U. Nasir and M. Niazi, “Cloud computing adoption assessment model (CAAM),” in Proceedings of the 12th International Conference on Product Focused Software Development and Process Improvement - Profes ’11, 2011, vol. 44, no. 0, pp. 34–37. doi: 10.1145/2181101.2181110 [391] J. Cecil, “A Collaborative Manufacturing Approach supporting adoption of IoT Principles in Micro Devices Assembly,” Procedia Manufacturing, vol. 26, pp. 1265–1277, 2018, doi: 10.1016/j.promfg.2018.07.141. [392] R. F. El-gazzar, “An Overview of Cloud Computing Adoption Challenges in the Norwegian Context,” 2014. [393] R. F. El-gazzar, “An Overview of Cloud Computing Adoption Challenges in the Norwegian Context,” 2014 [394] H. Hassan, “ScienceDirect ScienceDirect Organisational factors affecting cloud computing adoption in small and medium enterprises ( SMEs ) in service sector,” Procedia Computer Science, vol. 121, pp. 976–981, 2017, doi: 10.1016/j.procs.2017.11.126 [395] I. Arpaci, “Antecedents and consequences of cloud computing adoption in education to achieve knowledge management,” Computers in Human Behavior, vol. 70, pp. 382–390, May 2017, doi: 10.1016/j.chb.2017.01.024 [396] H. M. Sabi, F. E. Uzoka, K. Langmia, and F. N. Njeh, “Conceptualizing a model for adoption of cloud computing in education,” International Journal of Information Management, vol. 36, no. 2, pp. 183– 191, Apr. 2016, doi: 10.1016/j.ijinfomgt.2015.11.010 [397] F. Gao and A. Sunyaev, “International Journal of Information Management Context matters : A review of the determinant factors in the decision to adopt cloud computing in healthcare,” International Journal of Information Management, vol. 48, no. February, pp. 120–138, 2019, doi: 10.1016/j.ijinfomgt.2019.02.002. [398] K. Njenga, L. Garg, A. K. Bhardwaj, V. Prakash, and S. Bawa, “The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward,” Telematics and Informatics, vol. 38, no. May, pp. 225–246, May 2019, doi: 10.1016/j.tele.2018.10.007 [399] P. Priyadarshinee, R. D. Raut, M. K. Jha, and B. B. Gardas, “Understanding and predicting the determinants of cloud computing adoption: A two staged hybrid SEM - Neural networks approach,” Computers in Human Behavior, vol. 76, pp. 341–362, Nov. 2017, doi: 10.1016/j.chb.2017.07.027. [400] W. Hao, Z. Huang, and L. Shi, “Research on college students’ ideological and political education and daily performance evaluation model based on big data,” Journal of Advanced Oxidation Technologies, vol. 21, no. 2, 2018, doi: 10.26802/jaots.2018.01625. [401] J. Wu, H. Li, L. Liu, and H. Zheng, “Adoption of big data and analytics in mobile healthcare market: An economic perspective,” Electronic Commerce Research and Applications, vol. 22, pp. 24–41, Mar. 2017, doi: 10.1016/j.elerap.2017.02.002 [402] Y. H. Kim and J. Ahn, “A Study on the Application of Big Data to the Korean College Education System,” Procedia Computer Science, vol. 91, no. Itqm 2016, pp. 855–861, 2016, doi: 10.1016/j.procs.2016.07.096. [403] M. Shorfuzzaman, M. S. Hossain, A. Nazir, G. Muhammad, and A. Alamri, “Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment,” Computers in Human Behavior, vol. 92, pp. 578–588, Mar. 2019, doi: 10.1016/j.chb.2018.07.002 [403] M. Shorfuzzaman, M. S. Hossain, A. Nazir, G. Muhammad, and A. Alamri, “Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment,” Computers in Human Behavior, vol. 92, pp. 578–588, Mar. 2019, doi: 10.1016/j.chb.2018.07.002. [404] T. G. Ramos, J. C. F. Machado, and B. P. V. Cordeiro, “Primary Education Evaluation in [404] T. G. Ramos, J. C. F. Machado, and B. P. V. Cordeiro, “Primary Education Evaluation in Brazil Using Big Data and Cluster Analysis,” Procedia Computer Science, vol. 55, no. Itqm, pp. 1031–1039, 2015, doi: 10.1016/j.procs.2015.07.061. [405] R. H. Hamilton and W. A. Sodeman, “The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources,” Business Horizons, vol. 63, no. 1, pp. 85–95, Jan. 2020, doi: 10.1016/j.bushor.2019.10.001 [406] F. P. S. Surbakti, W. Wang, M. Indulska, and S. Sadiq, “Factors influencing effective use of big data: A research framework,” Information & Management, vol. 57, no. 1, p. 103146, Jan. 2020, doi: 10.1016/j.im.2019.02.001 [407] U. D. Kumar, Analytics Education Ms Purvi Tiwari , Research Associates at DCAL , Indian Institute of Management. Elsevier Ltd, 2019. doi: 10.1016/j.iimb.2019.10.014 [408] M. Zapata-ros, “La universidad inteligente La transición de los LMS a los Sistemas Inteligentes de Aprendizaje en Educación Superior The smart university,” vol. 57, no. 10, pp. 1–43, 2018. [409] N. Mehta, A. Pandit, and S. Shukla, “Transforming Healthcare with Big Data Analytics and Artificial Intelligence: A Systematic Mapping Study,” Journal of Biomedical Informatics, p. 103311, 2019, doi: 10.1016/j.jbi.2019.103311. [410] J. A. Carrillo Ruiz et al., “Big Data En Los Entornos De Defensa Y Seguridad,” 2003. [411] A. S. Leví, “Aproximación al Big Data . Análisis de su posible utilización en la universidad pública,” 2018 [412] Z. Allam and Z. A. Dhunny, “On big data, artificial intelligence and smart cities,” Cities, vol. 89, no. January, pp. 80–91, Jun. 2019, doi: 10.1016/j.cities.2019.01.032 [413] M. A. Goralski and T. K. Tan, “Artificial intelligence and sustainable development,” The International Journal of Management Education, vol. 18, no. 1, p. 100330, Mar. 2020, doi: 10.1016/j.ijme.2019.100330 [414] C. R. Deig, A. Kanwar, and R. F. Thompson, “Artificial Intelligence in Radiation Oncology,” Hematology/Oncology Clinics of North America, vol. 33, no. 6, pp. 1095–1104, Dec. 2019, doi: 10.1016/j.hoc.2019.08.003 [415] M. Chassignol, A. Khoroshavin, A. Klimova, and A. Bilyatdinova, “Artificial Intelligence trends in education: a narrative overview,” Procedia Computer Science, vol. 136, pp. 16–24, 2018, doi: 10.1016/j.procs.2018.08.233 [416] R. Bajaj and V. Sharma, “ScienceDirect ScienceDirect Smart Education with artificial intelligence based determination of Smart Education with artificial intelligence learning styles based determination of learning styles,” Procedia Computer Science, vol. 132, pp. 834–842, 2018, doi: 10.1016/j.procs.2018.05.095 [417] A. Kankanhalli, Y. Charalabidis, and S. Mellouli, “IoT and AI for Smart Government: A Research Agenda,” Government Information Quarterly, vol. 36, no. 2, pp. 304–309, Apr. 2019, doi: 10.1016/j.giq.2019.02.003 [418] A. Y. Sheikh and J. I. Fann, “Artificial Intelligence,” Thoracic Surgery Clinics, vol. 29, no. 3, pp. 339– 350, Aug. 2019, doi: 10.1016/j.thorsurg.2019.03.011 [419] A. Blandford, “education : the potential offered by artificial intellige e tech s,” pp. 212–222, 1990 [420] A. Haleem, M. Javaid, and I. H. Khan, “Current status and applications of Artificial Intelligence (AI) in medical field: An overview,” Current Medicine Research and Practice, vol. 9, no. 6, pp. 231–237, Nov. 2019, doi: 10.1016/j.cmrp.2019.11.005. [421] I. y U. Ministerio de Ciencia, “Estrategia Española De I+D+I En Inteligencia Artificial,” p. 48, 2019 [422] J. G. Sierra Llorente, Y. A. Palmezano Córdoba, and B. S. Romero Mora, “CAUSAS QUE DETERMINAN LAS DIFICULTADES DE LA INCORPORACIÓN DE LAS TIC EN LAS AULAS DE CLASES - Causes that determine the difficulties in the onboarding process of ICT in classrooms,” Panorama, vol. 12, no. 22, pp. 31–41, 2018, doi: 10.15765/pnrm.v12i22.1064 [423] MINTIC, “Análisis del sector dirección de gobierno digital,” Ministerio de las tecnologías de la información, vol. 57, no. 1, p. 31, 2019. [424] H. A. Botello Peñaloza, O. E. Contreras Pacheco, and P. Avella. A. Cecilia, “Análisis empresarial de la influencia de las TIC en el desempeño de las empresas de servicios en Colombia,” Panorama, vol. 4, no. 8, pp. 3–15, 2013, doi: 10.15765/pnrm.v4i8.57. [425] M. E. Rojas Salgado, “Los recursos tecnológicos como soporte para la enseñanza de las ciencias naturales - Technological resources as support in natural sciences teaching,” Hamut’Ay, vol. 4, no. 1, p. 85, 2017, doi: 10.21503/hamu.v4i1.1403 [426] Universidad Santo Tomás, “Documento Marco Tecnologías de la Información y la Comunicación,” 2015. [427] F. I. Díazgranados et al., Uso De Recursos Educativos En Educación Superior. 2018. doi: 10.2307/j.ctt2050wh0.7 [428] C. Alberto, F. Reboreda, C. Alberto, and F. Reboreda, “UD igital,” 2020 [429] D. Rico-Bautista, C. D. Guerrero, Y. Medina-Cárdenas, and A. García-Barreto, “Analysis of the potential value of technology: Case of universidad francisco de paula santander Ocaña [Análisis del valor potencial de la tecnología: Caso universidad francisco de paula santander Ocaña],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, no. E17, pp. 756–774, 2019 [430] D. Rico-Bautista and Y. Medina-Cárdenas, “Modelo institucional de autoevaluación y mejoramiento continuo: Proceso misional de investigación de la Universidad Francisco de Paula Santander Ocaña (UFPSO). Un caso de éxito,” Revista Iberoamericana CTS, vol. Abril, pp. 1–14, 2 [431] M. Arrieta, M. Sanguino, and C. Lobo, “Diseño de un plan estratégico de tecnologías de información para la Universidad Francisco de Paula Santander Ocaña,” 2015. [ [432] J. F. Rockart, “Chief executives define their own data needs.,” Harvard Business Review, 1979, doi: Article. [433] M. Arrieta, M. Sanguino, and C. Lobo, “Diseño de un plan estratégico de tecnologías de información para la Universidad Francisco de Paula Santander Ocaña,” 2015. [434] M. E. Porter, “Competitive Advantage,” Competitive Advantage: Creating and Sustaining Superior Performance. 1985. doi: 10.1182/blood-2005-11-4354. [435] D. S. Hidayat and D. I. Sensuse, “Knowledge Management Model for Smart Campus in Indonesia,” Data, vol. 7, no. 1, p. 7, Jan. 2022, doi: 10.3390/data7010007 [436] V. Salazar Solano, J. M. Moreno Dena, I. S. Rojas Rodríguez, and L. A. Islas Olavarrieta, “Nivel de adopción de tecnologías de la información y la comunicación en empresas comercializadoras de mango en Nayarit – México,” Estudios Gerenciales, vol. 34, no. 148, pp. 292–304, Sep. 2018, doi: 10.18046/j.estger.2018.148.2639 [437] S. Dalal, D. Khodyakov, R. Srinivasan, S. Straus, and J. Adams, “ExpertLens: A system for eliciting opinions from a large pool of non-collocated experts with diverse knowledge,” Technological Forecasting and Social [438] S. Beecham, T. Hall, C. Britton, M. Cottee, and A. Rainer, “Using an expert panel to validate a requirements process improvement model,” Journal of Systems and Software, vol. 76, no. 3, pp. 251– 275, Jun. 2005, doi: 10.1016/j.jss.2004.06.004. [439] M. Kopyto, S. Lechler, H. A. von der Gracht, and E. Hartmann, “Potentials of blockchain technology in supply chain management: Long-term judgments of an international expert panel,” Technological Forecasting and Social Change, vol. 161, p. 120330, Dec. 2020, doi: 10.1016/j.techfore.2020.120330 [440] L. A. Galicia Alarcón, J. A. Balderrama Trápaga, and R. Edel Navarro, “Content validity by experts judgment: Proposal for [441] F. Sheikhshoaei, N. Naghshineh, S. Alidousti, M. Nakhoda, and H. Dehdarirad, “Development and validation of a measuring instrument for digital library maturity,” Library & Information Science Research, vol. 43, no. 3, p. 101101, Jul. 2021, doi: 10.1016/j.lisr.2021.101101 [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. [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.v0i71.577 [444] C. U. Españolas, “TIC 360o - Transformación Digital en la Universidad,” 2017 [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_51
dc.rights.coar.fl_str_mv	http://purl.org/coar/access_right/c_abf2
dc.rights.uri.*.fl_str_mv	http://creativecommons.org/licenses/by-nc-nd/2.5/co/
dc.rights.local.spa.fl_str_mv	Abierto (Texto Completo)
dc.rights.creativecommons.*.fl_str_mv	Atribución-NoComercial-SinDerivadas 2.5 Colombia
rights_invalid_str_mv	http://creativecommons.org/licenses/by-nc-nd/2.5/co/ Abierto (Texto Completo) Atribución-NoComercial-SinDerivadas 2.5 Colombia http://purl.org/coar/access_right/c_abf2
dc.format.mimetype.spa.fl_str_mv	application/pdf
dc.coverage.spatial.spa.fl_str_mv	Norte de Santander (Colombia)
dc.coverage.campus.spa.fl_str_mv	UNAB Campus Bucaramanga
dc.publisher.grantor.spa.fl_str_mv	Universidad Autónoma de Bucaramanga UNAB
dc.publisher.faculty.spa.fl_str_mv	Facultad Ingeniería
dc.publisher.program.spa.fl_str_mv	Doctorado en Ingeniería
institution	Universidad Autónoma de Bucaramanga - UNAB
bitstream.url.fl_str_mv	https://repository.unab.edu.co/bitstream/20.500.12749/16730/1/2022_Tesis_Dewar_Rico.pdf https://repository.unab.edu.co/bitstream/20.500.12749/16730/2/2022_Impacto_Dewar_Rico.pdf https://repository.unab.edu.co/bitstream/20.500.12749/16730/3/2022_Licencia_Dewar_Rico.pdf https://repository.unab.edu.co/bitstream/20.500.12749/16730/4/license.txt https://repository.unab.edu.co/bitstream/20.500.12749/16730/5/2022_Tesis_Dewar_Rico.pdf.jpg https://repository.unab.edu.co/bitstream/20.500.12749/16730/6/2022_Impacto_Dewar_Rico.pdf.jpg https://repository.unab.edu.co/bitstream/20.500.12749/16730/7/2022_Licencia_Dewar_Rico.pdf.jpg
bitstream.checksum.fl_str_mv	34b45446d774533b84addc9b46d711e2 cb1469142564f35e578dd776c4c8786a 297de2f88776a0ca055a6f1fcb1fd547 3755c0cfdb77e29f2b9125d7a45dd316 72cc3b777cff5edb07c8f3452ca555f7 981644b308b3eb8ef53ff6cde32ce62c a53e098d152b5f3ed396e909faf2b811
bitstream.checksumAlgorithm.fl_str_mv	MD5 MD5 MD5 MD5 MD5 MD5 MD5
repository.name.fl_str_mv	Repositorio Institucional \| Universidad Autónoma de Bucaramanga - UNAB
repository.mail.fl_str_mv	repositorio@unab.edu.co
_version_	1814277295349694464
spelling	Guerrero, Cesar D.7d0d4921-07b2-4a48-a37f-75a188ce0dabMaestre Góngora, Gina Paola9c2fde59-d089-4d34-a178-2acc32a7ac27Collazos Ordóñez, César Alberto807165e4-a2b0-444e-8b81-1410e4f253b3Rico Bautista, Dewar Willmer1df2ff07-07f1-41b2-8a6c-38799959edbfGuerrero, Cesar D. [0000809357]Collazos Ordóñez, César Alberto [0000232122]Rico Bautista, Dewar Willmer [0000255815]Guerrero, Cesar D. [YgBOOcAAAAJ]Guerrero, Cesar D. [0000-0002-3286-6226]Collazos Ordóñez, César Alberto [0000-0002-7099-8131]Rico Bautista, Dewar Willmer [0000-0002-1808-3874]Guerrero, Cesar D. [Cesar-Guerrero-2]Collazos Ordóñez, César Alberto [Cesar-Collazos]Rico Bautista, Dewar Willmer [Dewar-Rico-Bautista]Guerrero, Cesar D. [cguerrer]Norte de Santander (Colombia)UNAB Campus Bucaramanga2022-06-17T19:51:48Z2022-06-17T19:51:48Z2022-06http://hdl.handle.net/20.500.12749/16730instname:Universidad Autónoma de Bucaramanga - UNABreponame:Repositorio Institucional UNABrepourl:https://repository.unab.edu.coUniversidad 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.INTRODUCCIÓN ............................................................................................................... 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 ............................................................................................................... 173DoctoradoSmart 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.Modalidad Presencialapplication/pdfspahttp://creativecommons.org/licenses/by-nc-nd/2.5/co/Abierto (Texto Completo)Atribución-NoComercial-SinDerivadas 2.5 Colombiahttp://purl.org/coar/access_right/c_abf2Modelo de madurez de adopción de las tecnologías de información para las universidades: Una aproximación desde el enfoque de Smart UniversityInformation Technology Adoption Maturity Model for Universities: An Approach from the Smart University ApproachThesisinfo:eu-repo/semantics/doctoralThesisTesishttp://purl.org/coar/resource_type/c_db06http://purl.org/redcol/resource_type/TDDoctorado en IngenieríaUniversidad Autónoma de Bucaramanga UNABFacultad IngenieríaDoctorado en IngenieríaEngineeringTechnology managementMaturity modelSmart technologiesSmart-universityTechnology adoptionTechnological innovationsTechnological changeArtificial intelligenceComputer networksCommunications technologyIngenieríaInnovaciones tecnológicasCambio tecnológicoInteligencia artificialRedes de computadoresTecnología de las comunicacionesGestión de tecnologíaModelo de madurezTecnologías inteligentesUniversidad inteligenteAdopción tecnológica[1] C. U. ESPAÑOLAS, Analisis de las TIC en las Universidades Españolas. 2015. doi: 10.1017/CBO9781107415324.004[2] J. S. Rueda-Rueda, D. Rico-Bautista, and É. Flórez-Solano, “Education in ICT: Teaching to use, teaching to protect oneself and teaching to create [Educación en TIC: Enseñar a usar, enseñar a protegerse y enseñar a crear tecnología],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2019, no. 19, pp. 252–264, 2019.[3] L. V. Glukhova, S. D. Syrotyuk, A. A. Sherstobitova, and S. V. Pavlova, Smart university development evaluation models, vol. 144. Springer Singapore, 2019. doi: 10.1007/978-981-13-8260-4_47[4] D. Rico-bautista, C. D. Guerrero, C. A. Collazos, and G. Maestre-góngora, “Smart University : A vision of technology adoption Universidad inteligente : Una visión de la adopción de la tecnología,” Revista Colombiana de Computación, vol. 22, no. 1, pp. 44–55, 2021, doi: 10.29375/25392115.4153[5] P. Pornphol and T. Tongkeo, “Transformation from a traditional university into a smart university,” Proceedings of the 6th International Conference on Information and Education Technology - ICIET ’18. ACM Press, pp. 144–148, 2018. doi: 10.1145/3178158.3178167[6] I. Staškevičiute and B. Neverauskas, “The intelligent university’s conceptual model,” Engineering Economics, vol. 4, no. 59, pp. 53–58, 2008, doi: 10.5755/j01.ee.59.4.11563[7] D. Rico-Bautista, C. D. Guerrero, C. A. Collazos, and G. Maestre-Gongora, “Maturity model of adoption of Information Technologies for universities: An approach from the Smart University perspective,” in 2021 16th Iberian Conference on Information Systems and Technologies (CISTI), Jun. 2021, pp. 1–6. doi: 10.23919/CISTI52073.2021.9476468[8] L. I. U. Xiong, “A Study on Smart Campus Model in the Era of Big Data,” Advances in Social Science, Education and Humanities Research, vol. 87, no. Icemeet 2016, pp. 919–922, 2017.[9] D. Rico-Bautista, G. P. Maestre-Góngora, and C. D. Guerrero, “Smart university: Characterization of the current situation of intelligent technologies, based on two case studies [Caracterización de la situación actual de las tecnologías inteligentes para una universidad inteligente en Colombia/latinoamérica],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E27, pp. 484–501, 2020[10] F. M. Pérez, J. V. B. Martínez, J. M. S. Bernabeu, I. L. Fonseca, and A. Fuster-Guilló, “Smart university: hacia una universidad más abierta.” 2016.[11] D. Rico-Bautista, Y. Medina-Cárdenas, and C. D. Guerrero, “Smart University: A Review from the Educational and Technological View of Internet of Things,” in International Conference on Information Technology and Systems, ICITS 2019, vol. 918, P. M., F. C., and R. A., Eds. Systems and Informatics Department, Universidad Francisco de Paula Santander Ocaña, Algodonal Campus Vía Acolsure, Ocaña, 546551, Colombia: Springer Verlag, 2019, pp. 427–440. doi: 10.1007/978-3-03011890-7_42[12] J. P. Bakken, V. L. Uskov, S. V. Kuppili, A. V Uskov, N. Golla, and N. Rayala, Smart University: Conceptual Modeling and Systems’ Design, vol. 70. Cham: Springer International Publishing, 2018. doi: 10.1007/978-3-319-59454-5.[13] O. Akhrif, Y. E. B. El Idrissi, and N. Hmina, “Smart university: SOC-based study,” Proceedings of the 3rd International Conference on Smart City Applications - SCA ’18. ACM Press, 2018. doi: 10.1145/3286606.3286798[14] Aqeel-ur-Rehman, A. Z. Abbasi, and Z. A. Shaikh, “Building a Smart University Using RFID Technology,” in 2008 International Conference on Computer Science and Software Engineering, 2008, vol. 5, pp. 641–644. doi: 10.1109/CSSE.2008.1528.[15] K. Sargent, P. Hyland, and S. Sawang, “Factors influencing the adoption of information technology in a construction business,” Construction Economics and Building, vol. 12, no. 2, p. 86, Jun. 2012, doi: 10.5130/AJCEB.v12i2.244[16] S. Karkošková, “Towards Cloud Computing Management Model Based on ITIL Processes,” in Proceedings of the 2nd International Conference on Business and Information Management, Sep. 2018, pp. 1–5. doi: 10.1145/3278252.3278265[17] M. Comuzzi and A. Patel, “How organisations leverage: Big Data: A maturity model,” Industrial Management and Data Systems, vol. 116, no. 8, pp. 1468–1492, 2016, doi: 10.1108/IMDS-12-20150495.[18] N. V Semenova, E. A. Svyatkina, T. G. Pismak, and Z. Y. Polezhaeva, “The Realities of Smart Education in the Contemporary Russian Universities,” in Proceedings of the Internationsl Conference on Electronic Governance and Open Society: Challenges in Eurasia, 2017, pp. 48–52. doi: 10.1145/3129757.3129767[19] A. Fernández Martínez and F. Llorens Largo, Gobierno de las TI para universidades. 2016.[20] C. Williams, D. Schallmo, K. Lang, and L. Boardman, “Digital Maturity Models for Small and Medium-sized Enterprises: A Systematic Literature Review,” ISPIM Conference Proceedings, no. June, pp. 1–15, 2019[21] J. Rueda-Rueda, J. Manrique, and J. Cabrera Cruz, Internet de las Cosas en las Instituciones de Educación Superior. 2017.[22] J. Becker, R. Knackstedt, and J. Pöppelbuß, “Developing Maturity Models for IT Management,” Business & Information Systems Engineering, vol. 1, no. 3, pp. 213–222, 2009, doi: 10.1007/s12599009-0044-5.[23] C. Heinemann and V. L. Uskov, “Smart University: Literature Review and Creative Analysis,” in Smart Universities, Germany: Springer International Publishing, 2018, pp. 11–46. doi: 10.1007/978-3-31959454-5_2[24] P. Rikhardsson and R. Dull, “An exploratory study of the adoption, application and impacts of continuous auditing technologies in small businesses,” International Journal of Accounting Information Systems, vol. 20, pp. 26–37, Apr. 2016, doi: 10.1016/j.accinf.2016.01.003[25] Y. C. Medina-Cárdenas and D. Rico-Bautista, “Strategic alignment under a technology management organizational approach: ITIL & ISO 20000,” Revista Tecnura, vol. 20, no. 1, pp. 82–94, 2016, doi: 10.14483/22487638.11681[26] D. Rico-Bautista et al., “Smart university: Strategic map since the adoption of technology [Universidad inteligente: Mapa estratégico desde la adopción de tecnología].,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E28, pp. 711–724, 2020.[27] Dewar. Rico-Bautista, Y. Areniz Arévalo, and Y. C. Medina Cárdenas, “Strategic management appropriation: A question of organizational skills,” FACE: Revista de la Facultad de Ciencias Económicas y Empresariales, vol. 15, no. 2, pp. 71–80, Nov. 2015[28] D. Rico-Bautista et al., “Smart university: Key factors for the adoption of internet of things and big data,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 201, no. 41, pp. 63–79, 2021, doi: 10.17013/risti.41.63–79[29] D. Rico-Bautista, C. A. Collazos, C. D. Guerrero, G. Maestre-Gongora, and Y. Medina-Cárdenas, “Latin American Smart University: Key Factors for a User-Centered Smart Technology Adoption Model,” in Sustainable Intelligent Systems, 2021, pp. 161–173. doi: 10.1007/978-981-33-4901-8_1[30] D. Rico-Bautista, Y. Medina-Cardenas, L. A. Coronel-Rojas, F. Cuesta-Quintero, G. Maestre-Gongora, and C. D. Guerrero, “Smart University: Key Factors for an Artificial Intelligence Adoption Model,” in Advances and Applications in Computer Science, Electronics and Industrial Engineering, vol. 1307, M. v. García, F. Fernández-Peña, and C. Gordón-Gallegos, Eds. Singapore: Springer Singapore, 2021, pp. 153–166. doi: 10.1007/978-981-33-4565-2_10.[31] D. Rico-Bautista, G. Maestre-Gongora, and C. D. Guerrero, “Smart University:IoT adoption model,” in 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), Jul. 2020, pp. 821–826. doi: 10.1109/WorldS450073.2020.9210369. [32] D. Rico-Bautista, Y. Medina-Cardenas, Y. Areniz-Arevalo, E.[32] D. Rico-Bautista, Y. Medina-Cardenas, Y. Areniz-Arevalo, E. Barrientos-Avendano, G. MaestreGongora, and C. D. Guerrero, “Smart University: Big Data adoption model,” in 2020 9th International Conference On Software Process Improvement (CIMPS), Oct. 2020, pp. 52–60. doi: 10.1109/CIMPS52057.2020.9390151[33] O. Akhrif, Y. E. B. El Idrissi, and N. Hmina, “Smart university, a new concept in the Internet of Things,” in Proceedings of the 3rd International Conference on Smart City Applications - SCA ’18, 2018, pp. 1– 6. doi: 10.1145/3286606.3286798.[34] C. de la república de Colombia, “Plan nacional de desarrollo 2014-2018,” 2015.[35] Consejo Privado de Competitividad, “Informe nacional de competitividad 2017-2018,” p. 271, 2017, doi: ISSN 2016-1430[36] P. Generales and C. De Calidad, “Modelo de acreditación CNA,” 2006[37] L. Enrique and O. Silva, “La calidad de la universidad. Más allá de toda ambigüedad,” pp. 1–14, 1997[38] A. Roa, “Hacia un modelo de aseguramiento de la calidad en la educación superior en Colombia: estándares básicos y acreditación de excelencia,” Educación superior, calidad y acreditación. Alfa Omega Colombiana, Bogotá, pp. 101–107, 2003[39] Ministerio de Educación Nacional, “Propuesta metodológica para la distribución de recursos Artículo 87 de la Ley 30 de 1992 Vigencia 2013,” p. 6, 2013.[40] M. Zapata-Ros, “La universidad inteligente La transición de los LMS a los Sistemas Inteligentes de Aprendizaje en Educación Superior The transition from Learning Management Systems (LMS) to Smart Learning Systems (SLS) in Higher Education,” RED. Revista de Educación a Distancia. Núm, vol. 57, no. 10, pp. 31–1, 2018, doi: 10.6018/red/57/10[41] J. Gómez, T. Jimenez, J. Gumbau, and F. Llorens, Universitic 2017 Análisis de las TIC en las Universidades Españolas. 2017[42] F. Maciá, Smart University. Hacia una universidad más abierta, Primera. 2017.[43] J. Gómez, T. Jimenez, J. Gumbau, and F. Llorens, “UNIVERSITIC 2016 Análisis de las TIC en las Universidades Españolas,” p. 150, 2016Universidades Españolas,” p. 150, 2016. [44] ANUIES, Estado actual de las Tecnologías de la Información y las Comunicaciones en las Instituciones de Educación Superior en México. 2017.[45] R. Padilla, S. Cadena, R. Enríquez, J. Córdova, and F. Lllorens, Estado de las tecnologías de la información y la comunicación en las universidades ecuatorianas. 2017.[46] F. L. L. Antonio Fernández Martínez, Universitic Latam 2014, no. 1. 2014. doi: 10.1007/s13398-0140173-7.2[47] J. Valls, R. Villers, and G. Duque, Estado Actual de las Tecnologías de la Información y las Comunicaciones en las Instituciones de Educación Superior en México. 2016[48] A. Whitmore, A. Agarwal, and L. Da Xu, “The Internet of Things—A survey of topics and trends,” Information Systems Frontiers, vol. 17, no. 2, pp. 261–274, 2015, doi: 10.1007/s10796-014-9489-2[49] N. Gershenfeld, R. Krikorian, and D. Cohen, The internet of things, vol. 291, no. 4. 2004. doi: 10.1038/scientificamerican1004-76.[50] C. (Software B. Williams, “Smart Systems,” Cybertalk, no. April, 2016[51] O. Flauzac, C. Gonzalez, and F. Nolot, “New security architecture for IoT network,” in Procedia Computer Science, 2015, vol. 52, no. 1, pp. 1028–1033. doi: 10.1016/j.procs.2015.05.099[52] G. Maestre-Góngora, “Revisión de literatura sobre ciudades inteligentes: una perspectiva centrada en las TIC,” Ingeniare, vol. 19, no. 19, pp. 137–149, 2016.[53] G. Perboli, A. De Marco, F. Perfetti, and M. Marone, “A New Taxonomy of Smart City Projects,” Transportation Research Procedia, vol. 3, pp. 470–478, 2014, doi: 10.1016/j.trpro.2014.10[54] L. Muñoz López, D. Proyecto, P. Antón Martínez, and S. Fernández Ciez, “Summary for Policymakers,” in Climate Change 2013 - The Physical Science Basis, Intergovernmental Panel on Climate Change, Ed. Cambridge: Cambridge University Press, 2015, pp. 1–30. doi: 10.1017/CBO9781107415324.004.[55] Y. Atif, S. S. Mathew, and A. Lakas, “Building a smart campus to support ubiquitous learning,” Journal of Ambient Intelligence and Humanized Computing, vol. 6, no. 2, pp. 223–238, 2015, doi: 10.1007/s12652-014-0226-y[56] E. M. Malatji, “The development of a smart campus - African universities point of view,” in 2017 8th International Renewable Energy Congress (IREC), Mar. 2017, pp. 1–5. doi: 10.1109/IREC.2017.7926010[57] A. Adamko, T. Kadek, and M. Kosa, “Intelligent and adaptive services for a smart campus,” in 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom), Nov. 2014, pp. 505–509. doi: 10.1109/CogInfoCom.2014.7020509[58] Y. Khamayseh, W. Mardini, S. Aljawarneh, and M. B. Yassein, “Integration of Wireless Technologies in Smart University Campus Environment,” International Journal of Information and Communication Technology Education, vol. 11, no. 1, pp. 60–74, Jan. 2015, doi: 10.4018/ijicte.2015010104.[59] M. Rohs and J. Bohn, “Entry points into a smart campus environment - overview of the ETHOC system,” in 23rd International Conference on Distributed Computing Systems Workshops, 2003. Proceedings., 2003, pp. 260–266. doi: 10.1109/ICDCSW.2003.1203564.[60] S. Gul, M. Asif, S. Ahmad, M. Yasir, M. Majid, and M. S. A. Malik, “A Survey on role of Internet of Things in education,” IJCSNS International Journal of Computer Science and Network Security, vol. 17, no. 5, pp. 159–165, 2017[61] L. Banica, E. Burtescu, and F. Enescu, “The impact of internet-of-things in higher education,” Scientific Bulletin-Economic Sciences, vol. 16, no. 1, pp. 53–59, 2017.[62] D. Galego, C. Giovannella, and Ó. Mealha, “Determination of the Smartness of a University Campus: The Case Study of Aveiro,” Procedia - Social and Behavioral Sciences, vol. 223, pp. 147–152, 2016, doi: 10.1016/j.sbspro.2016.05.336.[63] R. Wendler, “The maturity of maturity model research: A systematic mapping study,” Information and Software Technology, vol. 54, no. 12, pp. 1317–1339, 2012, doi: 10.1016/j.infsof.2012.07.007[64] J. Fraser and S. Plewes, “Applications of a UX Maturity Model to Influencing HF Best Practices in Technology Centric Companies – Lessons from Edison,” Procedia Manufacturing, vol. 3, pp. 626–631, 2015, doi: 10.1016/j.promfg.2015.07.285.[65] J. Poeppelbuss, B. Niehaves, A. Simons, and J. Becker, “Maturity Models in Information Systems Research: Literature Search and Analysis,” Communications of the Association for Information Systems, vol. 29, no. 1, 2011, doi: 10.17705/1cais.02927[66] L. G. Pee and A. Kankanhalli, “A model of organisational knowledge management maturity based on people, process, and technology,” Journal of Information and Knowledge Management, vol. 8, no. 2, pp. 79–99, 2009, doi: 10.1142/S0219649209002270[67] L. Montañez Carrillo and J. P. Lis Gutiérrez, “A propósito de los modelos de madurez de gestión del conocimiento,” Revista Facultad de Ciencias Económicas, vol. 25, no. 2, pp. 63–81, 2017, doi: 10.18359/rfce.3069[68] F. Y. Hernández, R. I. Laguado, and J. P. Rodriguez, “Maturity analysis in project management in Colombian universities,” in Journal of Physics: Conference Series, 2018, vol. 1126, no. 1. doi: 10.1088/1742-6596/1126/1/012055[69] T. de Bruin, M. Rosemann, R. Freeze, and U. Kulkarni, “Understanding the main phases of developing a maturity assessment model,” 2005[70] L. Lee‐Kelley, D. A. Blackman, and J. P. Hurst, “An exploration of the relationship between learning organisations and the retention of knowledge workers,” The Learning Organization, vol. 14, no. 3, pp. 204–221, Apr. 2007, doi: 10.1108/09696470710739390.[71] P. Jonsson and C. Wohlin, “An evaluation of k-nearest neighbour imputation using likert data,” in 10th International Symposium on Software Metrics, 2004. Proceedings., pp. 108–118. doi: 10.1109/METRIC.2004.1357895[72] J. Martínez Lozano, “Modelo de madurez en el dominio de los proyectos aplicado a organizaciones de gestión de proyectos en Medellín,” Universidad EAFIT, 2015.[73] E. I. Pérez-Mergarejo, I. I. Pérez-Vergara, and Y. Rodríguez-Ruíz III, “Modelos de madurez y su idoneidad para aplicar en pequeñas y medianas empresas Maturity models and the suitability of its application in small and medium enterprises,” Ingeniería Industrial, vol. XXXV, no. 2, pp. 1815–5936, 2014, doi: 10.1016/j.jag.2015.12.005.[74] S. Marshall, “Change, technology and higher education: Are universities capable of organisational change?,” Australasian Journal of Educational Technology, vol. 26, no. 8, pp. 179–192, 2010, doi: 10.14742/ajet.1018.[75] C. L. Carvajal and A. M. Moreno, “The Maturity of Usability Maturity Models,” no. February, 2018, doi: 10.1007/978-3-319-67383-7.[76] T. C. Lacerda and C. G. von Wangenheim, “Systematic literature review of usability capability/maturity models,” Computer Standards and Interfaces, vol. 55, pp. 1339–1351, 2018, doi: 10.1016/j.csi.2017.06.001[77] J. Becker, B. Niehaves, J. Pöppelbuß, and A. Simons, “Maturity models in IS research,” 18th European Conference on Information Systems, ECIS 2010, 2010[78] T. De Bruin, R. Freeze, U. Kaulkarni, and M. Rosemann, “Understanding the main phases of developing a maturity assessment model,” Australasian Chapter of the Association for Information Systems, pp. 8– 19, 2005, doi: 10.1108/14637151211225225[79] J. Becker, R. Knackstedt, and J. Pöppelbuß, “Developing maturity models for it management - A procedure model and its application [Entwicklung von reifegradmodellen für das it-management - VorgehensModell und praktische anwendung],” Business and Information Systems Engineering, vol. 51, no. 3, pp. 249–260, 2009, doi: 10.1007/s11576-009-0167-9.[80] J. Vuorio, J. Okkonen, and J. Viteli, “Enhancing user value of educational technology by three layer assessment,” in Proceedings of the 21st International Academic Mindtrek Conference, Sep. 2017, pp. 220–226. doi: 10.1145/3131085.3131105.[81] P. Martins and J. de S. D. Duarte, “Towards a Maturity Model for Higher Education Institutions,” Journal of Spatial and Organisational Dynamics, vol. 1, no. 1, 2013[82] J. Mineraud, O. Mazhelis, X. Su, and S. Tarkoma, “A gap analysis of Internet-of-Things platforms,” Computer Communications, vol. 89–90, 2016, doi: 10.1016/j.comcom.2016.03.015[83] J. Lin, W. Yu, N. Zhang, X. Yang, H. Zhang, and W. Zhao, “A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications,” IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1125–1142, 2017, doi: 10.1109/JIOT.2017.2683200.[84] M. A. Marotta, C. B. Both, J. Rochol, L. Z. Granville, and L. M. R. Tarouco, “Evaluating management architectures for Internet of Things devices,” IFIP Wireless Days, vol. 2015-Janua, no. January, 2015, doi: 10.1109/WD.2014.7020811.[85] T. Ara, P. Gajkumar Shah, and M. Prabhakar, “Internet of Things Architecture and Applications: A Survey,” Indian Journal of Science and Technology; Volume 9, Issue 45, December 2016, 2016.[86] R. Khan, S. U. Khan, R. Zaheer, and S. Khan, “Future internet: The internet of things architecture, possible applications and key challenges,” in Proceedings - 10th International Conference on Frontiers of Information Technology, FIT 2012, 2012, pp. 257–260. doi: 10.1109/FIT.2012.53.[87] J. I. Rodríguez Molano, C. E. Montenegro marín, J. M. Cueva Lovelle, J. Molano, C. Marin, and J. Cueva, “Introducción al Internet de las Cosas,” Redes de Ingeniería, vol. 6, no. 7, pp. 53–59, 2015, doi: 10.14483/udistrital.jour.redes.2016.1.a04.[88] T. Cao, X. Chen, R. Doss, J. Zhai, L. J. Wise, and Q. Zhao, “RFID ownership transfer protocol based on cloud,” Computer Networks, vol. 105, pp. 47–59, 2016, doi: 10.1016/j.comnet.2016.05.017[89] F. Maciá-Pérez, J. Berná-Martínez, J. Sánchez-Bernabéu, and I. Lorenzo, Smart university: hacia una universidad más abierta. Marcombo, 2016.[90] S. Downes and C. E.-A. Campbell, “Smart University Utilising the Concept of the Internet of Things (IOT),” in 2018 UKSim-AMSS 20th International Conference on Computer Modelling and Simulation (UKSim), 2018, pp. 145–150. doi: 10.1109/uksim.2018.00037.[91] M. Zapata-ros, “La universidad inteligente La transición de los LMS a los Sistemas Inteligentes de Aprendizaje en Educación Superior The smart university,” vol. 57, no. 10, pp. 1–43, 2018.[92] Y. S. Mitrofanova, A. A. Sherstobitova, and O. A. Filippova, Modeling the assessment of definition of a smart university infrastructure development level, vol. 144. Springer Singapore, 2019. doi: 10.1007/978-981-13-8260-4_50[93] S. Park and D. Ko, “Design of the Convergence Security Platform for Smart Universities,” vol. 3, no. 2. pp. 3–7, 2015.[94] X. Cheng and R. Xue, “Construction of Smart Campus System Based on Cloud Computing,” Proceedings of the 2016 6th International Conference on Applied Science, Engineering and Technology (ICASET), vol. 77, no. Icaset, pp. 187–191, 2016, doi: 10.2991/icaset-16.2016.37.[95] A. Ben Rjab and S. Mellouli, “Smart cities in the era of artificial intelligence and internet of things,” no. 1, pp. 1–10, 2018, doi: 10.1145/3209281.3209380[96] S. Alqassemi, Y. K. Ever, and A. V. Rajan, “Maturity Level of Cloud Computing at HCT,” ITT 2017 - Information Technology Trends: Exploring Current Trends in Information Technology, Conference Proceedings, vol. 2018-Janua, no. Itt, pp. 5–8, 2018, doi: 10.1109/CTIT.2017.8259558.[97] C. N. Hung, M. D. Hwang, and Y. C. Liu, “Building a Maturity Model of Information Security Governance for Technological Colleges and Universities in Taiwan,” Applied Mechanics and Materials, vol. 284–287, pp. 3657–3661, 2013, doi: 10.4028/www.scientific.net/amm.284-287.3657[98] B. Sánchez-Torres, J. A. Rodríguez-Rodríguez, D. Rico-Bautista, and C. D. Guerrero, “Smart Campus: Trends in cybersecurity and future development,” Revista Facultad de Ingeniería, vol. 27, no. 47, pp. 93–101, Jan. 2018, doi: 10.19053/01211129.v27.n47.2018.7807[99] D. Rico-Bautista, Y. Medina-Cárdenas, and C. D. Guerrero, “Smart University: A Review from the Educational and Technological View of Internet of Things,” in International Conference on Information Technology and Systems, ICITS 2019, vol. 918, M. Paredes, C. Ferras, and A. Rocha, Eds. Systems and Informatics Department, Universidad Francisco de Paula Santander Ocaña, Algodonal Campus Vía Acolsure, Ocaña, 546551, Colombia: Springer Verlag, 2019, pp. 427–440. doi: 10.1007/978-3-030-11890-7_42.[100] D. Rico-Bautista, G. P. Maestre-Góngora, and C. D. Guerrero, “Smart university: Characterization of the current situation of intelligent technologies, based on two case studies [Caracterización de la situación actual de las tecnologías inteligentes para una universidad inteligente en Colombia/latinoamérica],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E27, pp. 484–501, 2020[101] M. Ali and A. Majeed, “How Internet-of-Things ( IoT ) Making the University Campuses Smart ?,” pp. 646–648, 2018, doi: 10.1109/CCWC.2018.8301774[102] S. Hipwell, “Developing smart campuses #x2014; A working model,” 2014 International Conference on Intelligent Green Building and Smart Grid (IGBSG), pp. 1–6, 2014, doi: 10.1109/IGBSG.2014.6835169.[103] I. Staskeviciute and B. Neverauskas, “The Intelligent University’s Conceptual Model,” Inzinerine Ekonomika-Engineering Economics, no. 4, pp. 53–58, 2008[104] J. Green, “The Internet of Things Reference Model,” Internet of Things World Forum, pp. 1–12, 2014[105] S. Li, L. Da Xu, and S. Zhao, “The internet of things: a survey,” Information Systems Frontiers, vol. 17, no. 2, pp. 243–259, 2015, doi: 10.1007/s10796-014-9492-7[106] D. Airehrour, J. Gutierrez, and S. K. Ray, “Secure routing for internet of things: A survey,” Journal of Network and Computer Applications, vol. 66, 2016, doi: 10.1016/j.jnca.2016.03.006[107] Dewar. Rico-Bautista, Y. Medina-Cárdenas, and L. M. Santos Jaimes, “Ipsec de Ipv6 en la universidad de Pamplona,” Scientia Et Technica, vol. 2, no. 39, pp. 320–325, 2008, doi: 10.22517/23447214.3239[108] A. J. Jara, P. Moreno-Sanchez, A. F. Skarmeta, S. Varakliotis, and P. Kirstein, “IPv6 addressing proxy: Mapping native addressing from legacy technologies and devices to the internet of things (IPv6),” Sensors (Switzerland), vol. 13, no. 5, pp. 6687–6712, 2013, doi: 10.3390/s130506687[109] L. M. Santos and D. Rico-Bautista, “IPv6 en la Universidad de Pamplona: Estado del arte,” Scientia Et Technica, vol. XIII, pp. 415–420, 2007.[110] T. Le Vinh, S. Bouzefrane, J. M. Farinone, A. Attar, and B. P. Kennedy, “Middleware to integrate mobile devices, sensors and cloud computing,” Procedia Computer Science, vol. 52, no. 1, pp. 234– 243, 2015, doi: 10.1016/j.procs.2015.05.061.[111] A. Kotsev, F. Pantisano, S. Schade, and S. Jirka, “Architecture of a service-enabled sensing platform for the environment,” Sensors (Switzerland), vol. 15, no. 2, pp. 4470–4495, 2015, doi: 10.3390/s150204470[112] M. Taneja and A. Davy, “Resource Aware Placement of Data Analytics Platform in Fog Computing,” Procedia Computer Science, vol. 97, pp. 153–156, 2016, doi: 10.1016/j.procs.2016.08.295[113] M. M. Rathore, A. Ahmad, and A. Paul, “Big Data and Internet of Things,” in Proceedings of the 2015 International Conference on Big Data Applications and Services - BigDAS ’15, 2015, vol. 20-23-Octo, pp. 58–65. doi: 10.1145/2837060.2837067.[114] M. Quwaider, M. Al-Alyyoub, and Y. Jararweh, “Cloud Support Data Management Infrastructure for Upcoming Smart Cities,” Procedia Computer Science, vol. 83, pp. 1232–1237, 2016, doi: 10.1016/j.procs.2016.04.257.[115] A. S. Yeole and D. R. Kalbande, “Use of Internet of Things (IoT) in Healthcare,” in Proceedings of the ACM Symposium on Women in Research 2016 - WIR ’16, 2016, vol. 21-22-Marc, pp. 71–76. doi: 10.1145/2909067.2909079.[116] S. V. Zanjal and G. R. Talmale, “Medicine Reminder and Monitoring System for Secure Health Using IOT,” in Physics Procedia, 2016, vol. 78, pp. 471–476. doi: 10.1016/j.procs.2016.02.090[117] D. Rico-Bautista, J. Rueda-Rueda, and S. Alvernia Acevedo, “Las TIC como agente social Una apuesta de la universidad Francisco de Paula Santander Ocaña,” in Simbiosis del aprendizaje con las tecnologías: experiencias innovadoras en el ámbito hispano, 2016, pp. 329–342.[118] H. Aldowah, S. Ul Rehman, S. Ghazal, and I. Naufal Umar, “Internet of Things in Higher Education: A Study on Future Learning,” Journal of Physics: Conference Series, vol. 892, p. 012017, Sep. 2017, doi: 10.1088/1742-6596/892/1/012017[119] M. Coccoli, P. Maresca, and L. Stanganelli, “The role of big data and cognitive computing in the learning process,” Journal of Visual Languages and Computing, vol. 38, pp. 97–103, 2017, doi: 10.1016/j.jvlc.2016.03.002[120] J. Lobo and Dewar. Rico-Bautista, “Implementación de la seguridad del protocolo de internet versión 6,” Gerencia tecnológica informática, vol. 11, no. 29, pp. 35–46, 2012.[121] B. Sánchez-Torres, J. A. Rodríguez-Rodríguez, D. W. Rico-Bautista, and C. D. Guerrero, “Smart Campus: Trends in cybersecurity and future development,” Revista Facultad de Ingeniería, vol. 27, no. 47, pp. 93–101, Jan. 2018, doi: 10.19053/01211129.v27.n47.2018.7807[122] Katz. Matías David, “Redes y seguridad,” Alfaomega grupo editor, no. Mexico, p. 87, 2013[123] B. Aziz, “A formal model and analysis of an IoT protocol,” Ad Hoc Networks, vol. 36, pp. 49–57, Jan. 2016, doi: 10.1016/J.ADHOC.2015.05.013[124] N. Xiong, R. W. Liu, M. Liang, D. Wu, Z. Liu, and H. Wu, “Effective alternating direction optimization methods for sparsity-constrained blind image deblurring,” Sensors (Switzerland), vol. 17, no. 1, 2017, doi: 10.3390/s17010174[125] W. Mujun, “Smart Campus-Based Study on Optimization Model for the Computer Information Processing Technology in Universities and Colleges,” Revista de la Facultad de Ingeniería, vol. 32, no. 15, pp. 524–529, 2017[126] M. Stočes, J. Vaněk, J. Masner, and J. Pavlík, “Internet of Things (IoT) in Agriculture - Selected Aspects,” Agris on-line Papers in Economics and Informatics, vol. VIII, no. 1, pp. 83–88, 2016, doi: 10.7160/aol.2016.080108.[127] K. Taylor et al., “Farming the Web of Things,” IEEE Intelligent Systems, vol. 28, no. 6, pp. 12–19, 2013, doi: 10.1109/MIS.2013.102[128] T. Arsan, “Smart Systems: From design to implementation of embedded Smart Systems,” in 2016 HONET-ICT, 2016, pp. 59–64. doi: 10.1109/HONET.2016.7753420[129] G. F. Hurlburt, J. Voas, and K. W. Miller, “The Internet of Things: A Reality Check,” IT Professional, vol. 14, no. June, pp. 56–59, 2012, doi: 10.1109/MITP.2012.60.[130] M. Weyrich and C. Ebert, “Reference architectures for the internet of things,” IEEE Software, vol. 33, no. 1, pp. 112–116, 2016, doi: 10.1109/MS.2016.20.[131] K. Dar, A. Taherkordi, H. Baraki, F. Eliassen, and K. Geihs, “A resource oriented integration architecture for the Internet of Things: A business process perspective,” Pervasive and Mobile Computing, vol. 20. pp. 145–159, 2015. doi: 10.1016/j.pmcj.2014.11.0[132] A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications,” IEEE Communications Surveys and Tutorials, vol. 17, no. 4, 2015, doi: 10.1109/COMST.2015.2444095.[133] D. Gagliardi, L. Schina, M. L. Sarcinella, G. Mangialardi, F. Niglia, and A. Corallo, “Information and communication technologies and public participation: interactive maps and value added for citizens,” Government Information Quarterly, vol. 34, no. 1, pp. 153–166, 2017, doi: 10.1016/j.giq.2016.09.002.[134] L. Tan, Lu Tan, and Neng Wang, “Future internet: The Internet of Things,” 2010 3rd International Conference on Advanced Computer Theory and Engineering(ICACTE), pp. V5-376-V5-380, 2010, doi: 10.1109/ICACTE.2010.5579543[135] European Technology Platform on Smart Systems Integration, Internet of Things in 2020. 2008. doi: 10.1007/978-3-319-49736-5_2[136] I. F. Akyildiz, S. Nie, S. C. Lin, and M. Chandrasekaran, “5G roadmap: 10 key enabling technologies,” Computer Networks, vol. 106, pp. 17–48, 2016, doi: 10.1016/j.comnet.2016.06.010[137] L. Atzori, A. Iera, and G. Morabito, “Understanding the Internet of Things: definition, potentials, and societal role of a fast evolving paradigm,” Ad Hoc Networks, vol. 56, pp. 122–140, 2017, doi: 10.1016/j.adhoc.2016.12.004[138] M. Coccoli, A. Guercio, P. Maresca, and L. Stanganelli, “Smarter universities: A vision for the fast changing digital era,” Journal of Visual Languages & Computing, vol. 25, no. 6, pp. 1003–1011, Dec. 2014, doi: 10.1016/j.jvlc.2014.09.007[139] C. Heinemann and V. L. Uskov, Smart Universities, vol. 70. 2018. doi: 10.1007/978-3-319-59454-5.[140] M. Bertolli, G. Roark, S. Urrutia, and F. Chiodi, “Revisión de modelos de madurez en la medición del desempeño,” INGE CUC, vol. 13, no. 1, pp. 70–83, Jan. 2017, doi: 10.17981/ingecuc.13.1.2017.07[141] A. Acevedo, “Modelo de madurez para la transformación digital,” 2018.[142] F. W. Van Dijk, F. Willem, J. Van Hillegersberg, and M. Daneva, “Van Dijk - Cloud maturity models,” 2017.[143] D. Duarte and P. V. Martins, “A maturity model for higher education institutions,” CEUR Workshop Proceedings, vol. 731, pp. 25–45, 2011.[144] F. W. Van Dijk, F. Willem, J. Van Hillegersberg, and M. Daneva, “Van Dijk - Cloud maturity models,” 2017.[145] B. Henrik, “EVALUATION OF BIG DATA MATURITY MODELS - A BENCH- MARKING STUDY TO SUPPORT BIG DATA MATURITY AS- SESSMENT IN ORGANIZATIONS,” 2015[146] M. Al-Ruithe and E. Benkhelifa, “Cloud data governance maturity model,” in Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing, Mar. 2017, pp. 1– 10. doi: 10.1145/3018896.3036394[147] I. Mitchell and S. Isherwood, Cloud adoption The definitive guide to a business technology revolution, Fujitsu Se. 2014. doi: 10.1145/2554850.2555067[148] B. White, H. Longenecker, P. Leidig, J. Reynolds, and D. Yarbrough, “Applicability of CMMI to the IS curriculum: a panel discussion,” Proceedings of the Information Systems Education Conference 2003, vol. 20, pp. 2–6, 2003[149] C. Neuhauser, “A maturity model: Does it provide a path for online course design?,” Journal of Interactive Online Learning, vol. 3, no. 1, pp. 1–17, 2004[150] I. Keshta, “A model for defining project lifecycle phases: Implementation of CMMI level 2 specific practice,” Journal of King Saud University - Computer and Information Sciences, Nov. 2019, doi: 10.1016/j.jksuci.2019.10.013.[151] E. Thompson et al., “Towards a learning process maturity model,” PhD Workshop 2004, vol. 9/2004, no. definition 3, pp. 8–16, 2004.[152] S. Mattoon, B. Hensle, and J. Baty, “Cloud Computing Maturity Model Mattoon, S., Hensle, B., & Baty, J. (2011). Cloud Computing Maturity Model Guiding Success with Cloud Capabilities. Computing, (December), 13.Guiding Success with Cloud Capabilities,” Computing, no. December, p. 13, 2011.[153] P. J. Schmidt, “Proposing a Cloud Computing Capability Maturity Model Proposing a Cloud Computing Capability Maturity Model,” 2015[154] B. Henrik, “EVALUATION OF BIG DATA MATURITY MODELS - A BENCH- MARKING STUDY TO SUPPORT BIG DATA MATURITY AS- SESSMENT IN ORGANIZATIONS,” 2[155] C. J. Galeano-Barrera, D. Bellón-Monsalve, S. A. Zabala-Vargas, E. Romero-Riaño, and V. uro-N. Duro-Novoa, “Identificación de los pilares que direccionan a una institución universitaria hacia un smart-campus,” Revista De Investigación, Desarrollo E Innovación, vol. 9, no. 1, pp. 127–145, 2018, doi: 10.19053/20278306.v9.n1.2018.8511[156] M. Coccoli, P. Maresca, L. Stanganelli, and A. Guercio, “An experience of collaboration using a PaaS for the smarter university model,” Journal of Visual Languages and Computing, vol. 31, pp. 275–282, 2015, doi: 10.1016/j.jvlc.2015.10.014[157] L. L. Ching, N. H. A. H. Malim, M. H. Husin, and M. M. Singh, “ICC - Smart university: reservation system with contactless technology,” in Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing - ICC ’17, 2017, p. 9. doi: 10.1145/3018896.3018903[158] W. Filho, J. B. Andrade Guerra, M. Mifsud, and R. Pretorius, Universities as Living Labs for sustainable development: A global perspective, vol. 26. 2017.[159] O. Akhrif, Y. bouzekri el idrissi, and N. Hmina, “Enabling Smart Collaboration with Smart University Services,” 2019. doi: 10.1145/3331453.3361311.[160] O. Akhrif, C. Benfares, Y. El Bouzekri El Idrissi, and N. Hmina, “Collaborative learning services in the smart university environment,” ACM International Conference Proceeding Series, no. 3, 2019, doi: 10.1145/3368756.3369020[161] A. El Sayed, Š. Suad, Ć. Fuad, and A. Novali, New Technologies, Development and Application II, vol. 76. Cham: Springer International Publishing, 2020. doi: 10.1007/978-3-030-18072-0.[162] P. Pornphol and T. Tongkeo, “Transformation from a traditional university into a smart university,” in Proceedings of the 6th International Conference on Information and Education Technology, Jan. 2018, pp. 144–148. doi: 10.1145/3178158.3178167[163] O. J. Adeyemi, S. I. Popoola, A. A. Atayero, D. G. Afolayan, M. Ariyo, and E. Adetiba, “Exploration of daily Internet data traffic generated in a smart university campus,” Data in Brief, vol. 20, pp. 30–52, Oct. 2018, doi: 10.1016/j.dib.2018.07.039[164] M. V. López Cabrera, E. Hernandez-Rangel, G. P. Mejía Mejía, and J. L. Cerano Fuentes, “Factors that enable the adoption of educational technology in medical schools,” Educacion Medica, vol. 20, no. xx, pp. 3–9, 2019, doi: 10.1016/j.edumed.2017.07.006[165] J. Lin, H. Pu, Y. Li, and J. Lian, “Intelligent Recommendation System for Course Selection in Smart Education,” Procedia Computer Science, vol. 129, pp. 449–453, 2018, doi: 10.1016/j.procs.2018.03.023.[166] R. Bajaj and V. Sharma, “Smart Education with artificial intelligence based determination of learning styles,” Procedia Computer Science, vol. 132, pp. 834–842, 2018, doi: 10.1016/j.procs.2018.05.095[167] S. El Janati, A. Maach, and D. El Ghanami, “SMART education framework for adaptation content presentation,” Procedia Computer Science, vol. 127, pp. 436–443, 2018, doi: 10.1016/j.procs.2018.01.141.[168] P. Fraser, J. Moultrie, and M. Gregory, “The_use_of_maturity_models_grids_as_a_to.” Cambridge, Reino Unido, 2003. doi: 10.1109 / IEMC.2002.1038431.[169] C. M. Christensen, “The Innovator’s Dilemma,” Business, 1997, doi: 10.1515/9783110215519.82[170] C. M. Christensen, “The ongoing process of building a theory of disruption,” Journal of Product Innovation Management. 2006. doi: 10.1111/j.1540-5885.2005.00180.x.[171] M. Kuniavsky, “User Experience and HCI Section 1 : the boundaries of user experience,” HCI Handbook, pp. 1–37[172] S. S. Rautaray and A. Agrawal, “Vision based hand gesture recognition for human computer interaction: a survey,” Artificial Intelligence Review, vol. 43, no. 1, pp. 1–54, 2012, doi: 10.1007/s10462-012-93569.[173] M. Seufert, S. Egger, M. Slanina, T. Zinner, T. Hossfeld, and P. Tran-gia, “A Survey on Quality of Experience of HTTP Adaptive Streaming,” Ieee Communication Surveys & Tutorials, vol. 17, no. 1, pp. 469–492, 2015, doi: 10.1109/COMST.2014.236094[174] M. Turk, “Multimodal interaction: A review,” Pattern Recognition Letters, vol. 36, no. 1, pp. 189–195, 2014, doi: 10.1016/j.patrec.2013.07.003[175] H.-S. Yeo, B.-G. Lee, and H. Lim, “Hand tracking and gesture recognition system for human-computer interaction using low-cost hardware,” Multimedia Tools and Applications, vol. 74, no. 8, pp. 2687– 2715, Sep. 2015, doi: 10.1007/s11042-013-1501-1[176] K. Seaborn and D. I. Fels, “Gamification in theory and action: A survey,” International Journal of Human Computer Studies, vol. 74, pp. 14–31, 2015, doi: 10.1016/j.ijhcs.2014.09.006.[177] Y. Mengüç et al., “Wearable soft sensing suit for human gait measurement,” International Journal of Robotics Research, vol. 33, no. 14, pp. 1748–1764, 2014, doi: 10.1177/0278364914543793[178] D. González-Ortega, F. J. Díaz-Pernas, M. Martínez-Zarzuela, and M. Antón-Rodríguez, “A Kinectbased system for cognitive rehabilitation exercises monitoring,” Computer Methods and Programs in Biomedicine, vol. 113, no. 2, pp. 620–631, 2014, doi: 10.1016/j.cmpb.2013.10.014[179] S. Herath, M. Harandi, and F. Porikli, “Going deeper into action recognition: A survey,” Image and Vision Computing, vol. 60, pp. 4–21, Sep. 2017, doi: 10.1016/j.imavis.2017.01.010[180] C. Lallemand, G. Gronier, and V. Koenig, “User experience: A concept without consensus? Exploring practitioners’ perspectives through an international survey,” Computers in Human Behavior, vol. 43, pp. 35–48, Sep. 2015, doi: 10.1016/j.chb.2014.10.048.[181] P. K. Pisharady and M. Saerbeck, “Recent methods and databases in vision-based hand gesture recognition: A review,” Computer Vision and Image Understanding, vol. 141, pp. 152–165, Sep. 2015, doi: 10.1016/j.cviu.2015.08.004.[182] H. Cheng, L. Yang, and Z. Liu, “A Survey on 3D Hand Gesture Recognition,” IEEE Transactions on Circuits and Systems for Video Technology, vol. PP, no. 99, p. 1, 2015, doi: 10.1109/TCSVT.2015.2469551.[183] P. Tsarouchi, S. Makris, and G. Chryssolouris, “Human – robot interaction review and challenges on task planning and programming,” International Journal of Computer Integrated Manufacturing, vol. 29, no. 8, pp. 916–931, Sep. 2016, doi: 10.1080/0951192X.2015.1130251.[184] J. Lorés and T. Granollers, “Ingeniería de la Usabilidad y de la Accesibilidad aplicada al diseño y desarrollo de sitios web,” no. May, pp. 3–7, 2004.[185] J. Mariano and G. Romano, “Introducción a la IPO,” Metro, 2008[186] T. Granollers, “Usability Evaluation with Heuristics . New Proposal from Integrating Two Trusted Sources 2 Combining Common Heuristic Sets,” pp. 1–16, 2018.[187] L. Muñoz López, P. Antón Martínez, and S. Fernández Ciez, “Estudio y Guía metodológica sobre Ciudades Inteligentes,” 2015[188] E. Ontiveros, D. Vizcaíno, and V. López Sabaer, Las ciudades del futuro : inteligentes , digitales y sostenibles futuro : inteligentes , digitales y sostenibles. 2016.[189] E. Del and D. Une, “Norma Española Accesibilidad Universal en las Ciudades Inteligentes,” 2017.[190] O. Iberoamericano, “Manual Iberoamericano de Indicadores de Educación Superior: Manual de Lima,” p. 88 p., 2016[191] Ministerio de Modernización Innovación y Tecnología, “La Importancia de un Modelo de Planificación Estratégica para el Desarrollo de Ciudades Inteligentes,” p. 32, 2017[192] P. Fernández, “Análisis de los factores de influencia en la adopción de herramientas colaborativas basadas en software social. Aplicación a entornos empresariales,” Universidad Politécnica de Madrid, 2015[193] D. W. Rico-Bautista, “Conceptual framework for smart university,” Journal of Physics: Conference Series, vol. 1409, p. 012009, Nov. 2019, doi: 10.1088/1742-6596/1409/1/012009.[194] J. A. Parra Valencia, C. D. Guerrero, and D. Rico-Bautista, “IOT: una aproximación desde ciudad inteligente a universidad inteligente,” Revista Ingenio, vol. 13, no. 1, pp. 9–20, Jun. 2017, doi: 10.22463/2011642X.2128.[195] F. H. Cerdeira Ferreira and R. Mendes de Araujo, “Campus Inteligentes: Conceitos, aplicações, tecnologias e desafios.,” Relatórios Técnicos do DIA/UNIRIO, vol. 11, no. 1, pp. 4–19, 2018.[196] D. Rico-Bautista, C. D. Guerrero, Y. Medina-Cárdenas, and A. García-Barreto, “Analysis of the potential value of technology: Case of universidad francisco de paula santander O[197] D. Rico-Bautista, G. P. Maestre-Góngora, and C. D. Guerrero, “Caracterización de la situación actual de las tecnologías inteligentes para una Universidad inteligente en Colombia/Latinoamérica,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E27, pp. 484–501, 2020.[198] D. Rico-Bautista et al., “Smart University: Strategic map since the adoption of technology,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E28, pp. 711–724, 2020[199] D. Rico-Bautista et al., “Smart University: Key Factors for a Cloud Computing Adoption Model,” Lecture Notes in Networks and Systems, vol. 334, pp. 85–93, 2022, doi: 10.1007/978-981-16-6369-7_8[200] M. V. López Cabrera, E. Hernandez-Rangel, G. P. Mejía Mejía, and J. L. Cerano Fuentes, “Factores que facilitan la adopción de tecnología educativa en escuelas de medicina,” Educación Médica, vol. 20, pp. 3–9, Mar. 2019, doi: 10.1016/j.edumed.2017.07.006[202] A. V. Martín García, Á. García del Dujo, and J. M. Muñoz Rodríguez, “Factores determinantes de adopción de blended learning en educación superior. Adaptación del modelo UTAUT*,” Educación XX1, vol. 17, no. 2, May 2014, doi: 10.5944/educxx1.17.2.11489[203] M. Luzardo Briceño, B. E. Sandia Saldivia, A. S. Aguilar Jiménez, M. Macias Martínez, and J. Herrera Díaz, “Factores que influyen en la adopción de las Tecnologías de Información y Comunicación por parte de las universidades. Dimensión Enseñanza-Aprendizaje,” Educere, vol. 21, no. 68, pp. 143–153, 2017[204] M. Frasquet Deltoro, A. Mollá Descals, and M. Eugenia Ruiz Molina, “Factores determinantes y consecuencias de la adopción del comercio electrónico B2C:una comparativa internacional,” Estudios Gerenciales, vol. 28, no. 123, pp. 101–120, Apr. 2012, doi: 10.1016/S0123-5923(12)70207-3.[205] D. Rico-Bautista et al., “Key Technology Adoption Indicators for Smart Universities: A Preliminary Proposal,” Lecture Notes in Networks and Systems, vol. 333, pp. 651–663, 2022, doi: 10.1007/978-98116-6309-3_61.[206] P. Hernández, R., Fernández, C. y Baptista, Libro Metodología de la Investigación 6ta edición SAMPIERI (PDF) \| Metodologiaecs. 2014[207] S. M. Takey and M. M. Carvalho, “Fuzzy front end of systemic innovations: A conceptual framework based on a systematic literature review,” Technological Forecasting and Social Change, vol. 111, pp. 97–109, Oct. 2016, doi: 10.1016/j.techfore.2016.06.011[208] P. Martins and J. de S. D. Duarte, “A Maturity Model for Higher Education Institutions,” Journal of Spatial and Organisational Dynamics , vol. 1, no. 1, 2013.[209] Z. Liu, Y. Yin, W. Liu, and M. Dunford, “Visualizing the intellectual structure and evolution of innovation systems research: a bibliometric analysis,” Scientometrics, 2015, doi: 10.1007/s11192-0141517-y.[210] J. A. Wise, “The ecological approach to text visualization,” Journal of the American Society for Information Science, 1999, doi: 10.1002/(SICI)1097-4571(1999)50:13<1224::AID-ASI8>3.0.CO;2-4.[211] J. E. Meissner, “VantagePoint,” Nursing, 1981, doi: 10.1097/00152193-198101000-00010.[212] L. Leydesdorff and T. Schank, “Dynamic animations of journal maps: Indicators of structural changes and interdisciplinary developments,” Journal of the American Society for Information Science and Technology, 2008, doi: 10.1002/asi.20891[213] “Science of Science (Sci2) Tool,” in Encyclopedia of Social Network Analysis and Mining, 2018. doi: 10.1007/978-1-4939-7131-2_101025.[214] N. J. Van Eck and L. Waltman, “VOSviewer: A computer program for bibliometric mapping,” 2009[215] “Network Workbench Tool,” in Encyclopedia of Social Network Analysis and Mining, 2014. doi: 10.1007/978-1-4614-6170-8_110035[216] B. Vargas-Quesada and F. de Moya Aragón, Visualizing the structure of science. New York, NY, 2007.[217] L. A. R. Hoeffner and R. P. Smiraglia, “Visualizing domain coherence: Social informatics as a case study,” 2014. doi: 10.7152/acro.v23i1.14261.[218] K. Fujita, Y. Kajikawa, J. Mori, and I. Sakata, “Detecting research fronts using different types of weighted citation networks,” Journal of Engineering and Technology Management - JET-M, vol. 32, pp. 129–146, 2014, doi: 10.1016/j.jengtecman.2013.07.002.[219] A. Angelakis and K. Galanakis, “A science-based sector in the making: the formation of the biotechnology sector in two regions,” Regional Studies, 2017, doi: 10.1080/00343404.2016.1215601.[220] A. Gaur, B. Scotney, G. Parr, and S. McClean, “Smart city architecture and its applications based on IoT,” in Procedia Computer Science, 2015, vol. 52, no. 1. doi: 10.1016/j.procs.2015.05.122.[221] R. Díaz-Díaz, L. Muñoz, and D. Pérez-González, “Business model analysis of public services operating in the smart city ecosystem: The case of SmartSantander,” Future Generation Computer Systems, 2017, doi: 10.1016/j.future.2017.01.032.[222] A. Sampri, A. Mavragani, and K. P. Tsagarakis, “Evaluating Google Trends as a Tool for Integrating the ‘Smart Health’ Concept in the Smart Cities’ Governance in USA,” Procedia Engineering, vol. 162, pp. 585–592, 2016, doi: 10.1016/j.proeng.2016.11.104.[223] U. Rosati and S. Conti, “What is a Smart City Project? An Urban Model or A Corporate Business Plan?,” Procedia - Social and Behavioral Sciences, vol. 223, pp. 968–973, 2016, doi: 10.1016/j.sbspro.2016.05.332.[224] C. M. et. Al, “Mapping Smart Cities in the EU,” European Parliament, pp. 23–49, 2015.[225] G. P. Maestre Góngora, “Revisión de literatura sobre ciudades inteligentes: una perspectiva centrada en las TIC,” INGENIARE, no. 19, p. 137, Jul. 2015, doi: 10.18041/1909-2458/ingeniare.19.531[226] X. Nie, “Constructing Smart Campus Based on the Cloud Computing Platform and the Internet of Things,” 2013. doi: 10.2991/iccsee.2013.395.[227] M. Cata, “Smart university, a new concept in the Internet of Things,” in 2015 14th RoEduNet International Conference - Networking in Education and Research (RoEduNet NER), Sep. 2015, pp. 195–197. doi: 10.1109/RoEduNet.2015.7311993[228] V. A. F. Almeida, D. Doneda, and M. Monteiro, “Governance Challenges for the Internet of Things,” IEEE Internet Computing, vol. 19, no. 4, pp. 56–59, Jul. 2015, doi: 10.1109/MIC.2015.86[229] S. Thiel, J. Mitchell, and J. Williams, “Coordination or Collision? The Intersection of Diabetes Care, Cybersecurity, and Cloud-Based Computing,” Journal of Diabetes Science and Technology, vol. 11, no. 2, pp. 195–197, Mar. 2017, doi: 10.1177/1932296816676189.[230] E. Borgia, “The Internet of Things vision: Key features, applications and open issues,” Computer Communications, vol. 54, pp. 1–31, Dec. 2014, doi: 10.1016/j.comcom.2014.09.008.[231] A. Jara, P. Moreno-Sanchez, A. Skarmeta, S. Varakliotis, and P. Kirstein, “IPv6 Addressing Proxy: Mapping Native Addressing from Legacy Technologies and Devices to the Internet of Things (IPv6),” Sensors, vol. 13, no. 5, pp. 6687–6712, May 2013, doi: 10.3390/s130506687.[232] E. Chinkes, Las Tecnologías de la Información y la Comunicación Potenciando la Universidad del Siglo XXI: Claves para una política TIC universitaria, vol. 1. 2015. doi: 10.1017/CBO9781107415324.004[233] E. Chinkes, Potenciando la Universidad del Siglo XXI: Soluciones TIC para pensar la universidad del futuro. 2017[234] RedCLARA, ACTAS TICAL 2016. 2016[235] RedCLARA, ACTAS TICAL 2017. 2017[236] RedCLARA, ACTAS TICAL 2018. 2018.[237] RedCLARA, ACTAS TICAL 2019. 2019[238] O. Akhri, Y. El Bouzekri El Idrissi, and N. Hmina, “Enabling smart collaboration with smart university services,” in ACM International Conference Proceeding Series, 2019. doi: 10.1145/3331453.3361311.[239] D. Rico-Bautista et al., “Smart university: Strategic map since the adoption of technology [Universidad inteligente: Mapa estratégico desde la adopción de tecnología],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E28, pp. 711–724, 2020[240] M. de L. Sigg, J. L. V. Cisneros, S. V. Reyes, and J. A. R. Salcedo, “Explicación de la Adopción de Tecnologías de Información en Pequeñas Empresas Usando el Modelo del Usuario Perezoso: un Caso de Estudio,” Iberian Journal of Information Systems and Technologies, no. e1, pp. 91–104, Mar. 2014, doi: 10.4304/risti.e1.91-104.[241] L. O. S. A. Erasmus et al., “Adopción de las tecnologías infocomunicacionales (TI) en Docentes: actualizando enfoques.,” Revista Electrónica Teoría de la Educación. Educación y Cultura en La Sociedad de la Información., vol. 10, pp. 310–337, 2009[242] P. Brous, M. Janssen, and P. Herder, “The dual effects of the Internet of Things (IoT): A systematic review of the benefits and risks of IoT adoption by organizations,” International Journal of Information Management, vol. 51, p. 101952, Apr. 2020, doi: 10.1016/j.ijinfomgt.2019.05.008.[243] J. Martín et al., “Review of IoT applications in agro-industrial and environmental fields,” vol. 142, no. 118, pp. 283–297, 2017, doi: 10.1016/j.compag.2017.09.015.[244] A. Abushakra and D. Nikbin, Knowledge Management in Organizations, vol. 1027. Cham: Springer International Publishing, 2019. doi: 10.1007/978-3-030-21451-7[245] D. Mourtzis, E. Vlachou, and N. Milas, “Industrial Big Data as a Result of IoT Adoption in Manufacturing,” Procedia CIRP, vol. 55, pp. 290–295, 2016, doi: 10.1016/j.procir.2016.07.038.[246] I. C. Ehie and M. A. Chilton, “Understanding the influence of IT/OT Convergence on the adoption of Internet of Things (IoT) in manufacturing organizations: An empirical investigation,” Computers in Industry, vol. 115, p. 103166, Feb. 2020, doi: 10.1016/j.compind.2019.103166.[247] L. Amodu, O. Odiboh, S. Usaini, D. Yartey, and T. Ekanem, “Data on security implications of the adoption of Internet of Things by public relations professionals,” Data in Brief, vol. 27, 2019, doi: 10.1016/j.dib.2019.104663.[248] H. Shaikh, M. S. Khan, Z. A. Mahar, M. Anwar, A. Raza, and A. Shah, “A Conceptual Framework for Determining Acceptance of Internet of Things (IoT) in Higher Education Institutions of Pakistan,” in 2019 International Conference on Information Science and Communication Technology (ICISCT), Mar. 2019, pp. 1–5. doi: 10.1109/CISCT.2019.8777431.[249] A. Abushakra and D. Nikbin, Knowledge Management in Organizations, vol. 1027. Cham: Springer International Publishing, 2019. doi: 10.1007/978-3-030-21451-7.[250] M. Mital, V. Chang, P. Choudhary, A. Papa, and A. K. Pani, “Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach,” Technological Forecasting and Social Change, vol. 136, pp. 339–346, 2018, doi: 10.1016/j.techfore.2017.03.001.[251] S. Lu and Y. P. Singh, “Scie enceDir rect ScienceDirect Analyz zing chal llenges t o Interne et of Thi ings ( IoT T ) adopt tion and ion : An Indian context c diffusi,” 2018, doi: 10.1016/j.procs.2017.12.094[252] Y. Kao, K. Nawata, and C. Huang, “An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers,” 2019.[252] Y. Kao, K. Nawata, and C. Huang, “An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers,” 2019.[253] Y.-S. Kao, K. Nawata, and C.-Y. Huang, “An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers,” International Journal of Environmental Research and Public Health, vol. 16, no. 18, p. 3227, Sep. 2019, doi: 10.3390/ijerph16183227.[254] V. Venkatesh, J. Thong, and X. Xu, “Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead,” Journal of the Association for Information Systems, vol. 17, no. 5, pp. 328–376, May 2016, doi: 10.17705/1jais.00428[255] E. González Arza, “Validación de la Teoría Unificada de Aceptación y Uso de la Tecnología UTAUT en castellano en el ámbito de las consultas externas de la Red de Salud Mental de Bizkaia,” Universitat Oberta de Catalunya, 2013.[256] T. Kr. Aune, H. Gjestland, J. Ø. Haagensen, B. Kittilsen, J. I. Skar, and H. Westengen, “Magnesium Alloys,” in Ullmann’s Encyclopedia of Industrial Chemistry, Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2003, pp. 1–19. doi: 10.1002/14356007.a15_581[257] P. Palos-Sanchez, A. Reyes-Menendez, and J. R. Saura, “Models of adoption of information technology and cloud computing in organizations,” Informacion Tecnologica, vol. 30, no. 3, pp. 3–12, 2019, doi: 10.4067/S0718-07642019000300003[258] P. Pinheiro, M. Aparicio, and C. Costa, “Adoption of cloud computing systems,” in Proceedings of the International Conference on Information Systems and Design of Communication - ISDOC ’14, 2014, pp. 127–131. doi: 10.1145/2618168.2618188[259] H. Vasudavan, K. Shanmugam, and H. A. Ahmada, “User Perceptions in Adopting Cloud Computing in Autonomous Vehicle,” in Proceedings of the 6th International Conference on Information Technology: IoT and Smart City - ICIT 2018, 2018, pp. 151–156. doi: 10.1145/3301551.3301583[260] F. Nikolopoulos and S. Likothanassis, “Using UTAUT2 for cloud computing technology acceptance modeling,” in Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing, Mar. 2017, no. March, pp. 1–6. doi: 10.1145/3018896.3025153[261] U. Nasir and M. Niazi, “Cloud computing adoption assessment model (CAAM),” in Proceedings of the 12th International Conference on Product Focused Software Development and Process Improvement - Profes ’11, 2011, vol. 44, no. 0, pp. 34–37. doi: 10.1145/2181101.2181110.[262] M. Al-Ruithe, E. Benkhelifa, and K. Hameed, “Current State of Cloud Computing Adoption – An Empirical Study in Major Public Sector Organizations of Saudi Arabia (KSA),” Procedia Computer Science, vol. 110, pp. 378–385, 2017, doi: 10.1016/j.procs.2017.06.080[263] P. Priyadarshinee, R. D. Raut, M. K. Jha, and B. B. Gardas, “Understanding and predicting the determinants of cloud computing adoption: A two staged hybrid SEM - Neural networks approach,” Computers in Human Behavior, vol. 76, pp. 341–362, Nov. 2017, doi: 10.1016/j.chb.2017.07.027[264] K. Njenga, L. Garg, A. K. Bhardwaj, V. Prakash, and S. Bawa, “The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward,” Telematics and Informatics, vol. 38, no. May, pp. 225–246, May 2019, doi: 10.1016/j.tele.2018.10.007.[265] I. Arpaci, “Antecedents and consequences of cloud computing adoption in education to achieve knowledge management,” Computers in Human Behavior, vol. 70, pp. 382–390, May 2017, doi: 10.1016/j.chb.2017.01.024[266] H. M. Sabi, F. E. Uzoka, K. Langmia, and F. N. Njeh, “Conceptualizing a model for adoption of cloud computing in education,” International Journal of Information Management, vol. 36, no. 2, pp. 183– 191, Apr. 2016, doi: 10.1016/j.ijinfomgt.2015.11.010[267] P. Palos-Sanchez, A. Reyes-Menendez, and J. R. Saura, “Modelos de Adopción de Tecnologías de la Información y Cloud Computing en las Organizaciones,” Información tecnológica, vol. 30, no. 3, pp. 3–12, Jun. 2019, doi: 10.4067/S0718-07642019000300003[268] M. Shorfuzzaman, M. S. Hossain, A. Nazir, G. Muhammad, and A. Alamri, “Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment,” Computers in Human Behavior, vol. 92, pp. 578–588, Mar. 2019, doi: 10.1016/j.chb.2018.07.002[269] F. P. S. Surbakti, W. Wang, M. Indulska, and S. Sadiq, “Factors influencing effective use of big data: A research framework,” Information & Management, vol. 57, no. 1, p. 103146, Jan. 2020, doi: 10.1016/j.im.2019.02.001[270] S. Das, “‘The Early Bird Catches the Worm - First Mover Advantage through IoT Adoption for Indian Public Sector Retail Oil Outlets,’” Journal of Global Information Technology Management, vol. 22, no. 4, pp. 280–308, Oct. 2019, doi: 10.1080/1097198X.2019.1679588[271] A. M. Al-Momani, M. A. Mahmoud, and M. S. Ahmad, “A Review of Factors Influencing Customer Acceptance of Internet of Things Services,” International Journal of Information Systems in the Service Sector, vol. 11, no. 1, pp. 54–67, Jan. 2019, doi: 10.4018/IJISSS.2019010104[272] D. Nikbin and A. Abushakra, “Internet of Things Adoption: Empirical Evidence from an Emerging Country,” in Communications in Computer and Information Science, 2019, pp. 348–352. doi: 10.1007/978-3-030-21451-7_30[273] B. Sivathanu, “Adoption of internet of things (IOT) based wearables for healthcare of older adults – a behavioural reasoning theory (BRT) approach,” Journal of Enabling Technologies, vol. 12, no. 4, pp. 169–185, Dec. 2018, doi: 10.1108/JET-12-2017-0048[274] A. M. Al-Momani, M. A. Mahmoud, and M. S. Ahmad, “Factors that Influence the Acceptance of Internet of Things Services by Customers of Telecommunication Companies in Jordan,” Journal of Organizational and End User Computing, vol. 30, no. 4, pp. 51–63, Oct. 2018, doi: 10.4018/JOEUC.2018100104.[275] E. E. Grandon, A. A. Ibarra, S. A. Guzman, P. Ramirez-Correa, and J. Alfaro-Perez, “Internet of Things: Factors that influence its adoption among Chilean SMEs,” in 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), Jun. 2018, vol. 2018-June, pp. 1–6. doi: 10.23919/CISTI.2018.8399183[276] M. Tu, “An exploratory study of Internet of Things (IoT) adoption intention in logistics and supply chain management,” The International Journal of Logistics Management, vol. 29, no. 1, pp. 131–151, Feb. 2018, doi: 10.1108/IJLM-11-2016-0274[277] M. Trujillo Suárez, J. J. Aguilar, and C. Neira, “Los métodos más característicos del diseño centrado en el usuario -DCU-, adaptados para el desarrollo de productos materiales,” Iconofacto, vol. 12, no. 19, pp. 215–236, 2016, doi: 10.18566/iconofact.v12.n19.a09.[278] M. Greer and H. S. Harris, “User-Centered Design as a Foundation for Effective Online Writing Instruction,” Computers and Composition, vol. 49, no. 2017, pp. 14–24, 2018, doi: 10.1016/j.compcom.2018.05.006[278] M. Greer and H. S. Harris, “User-Centered Design as a Foundation for Effective Online Writing Instruction,” Computers and Composition, vol. 49, no. 2017, pp. 14–24, 2018, doi: 10.1016/j.compcom.2018.05.006.[279] Y. Han and M. Moghaddam, “Analysis of sentiment expressions for user-centered design,” Expert Systems with Applications, vol. 171, p. 114604, 2021, doi: https://doi.org/10.1016/j.eswa.2021.114604.[280] T. Xu, Study on user experience design of mobile application interfaces, vol. 1018. Springer International Publishing, 2020. doi: 10.1007/978-3-030-25629-6_80[281] 2019 ISO Standard, “International Standard interactive systems,” Iso 9241-210:2019, vol. 2019, 2019.[282] O. Ayalon and E. Toch, “User-Centered Privacy-by-Design: Evaluating the Appropriateness of Design Prototypes,” International Journal of Human Computer Studies, vol. 154, no. March, p. 102641, 2021, doi: 10.1016/j.ijhcs.2021.102641[283] M. François, F. Osiurak, A. Fort, P. Crave, and J. Navarro, “Usability and acceptance of truck dashboards designed by drivers: Two participatory design approaches compared to a user-centered design,” International Journal of Industrial Ergonomics, vol. 81, no. November 2019, p. 103073, 2021, doi: 10.1016/j.ergon.2020.103073.[284] A. C. Luis, T. E. M. Elizabeth, F. V. Jesús, R. U. M. Deyanira, and A. S. J., “Interacción HumanoComputadora,” pp. 195–232, 2016[285] Ideo, “Diseño centrado en las personas,” 2019[286] P. M. A. Desmet, H. Xue, and S. F. Fokkinga, “The Same Person Is Never the Same: Introducing MoodStimulated Thought/Action Tendencies for User-Centered Design,” She Ji, vol. 5, no. 3, pp. 167–187, 2019, doi: 10.1016/j.sheji.2019.07.[287] L. M. Kopf and J. Huh-Yoo, “A User-Centered Design Approach to Developing a Voice Monitoring System for Disorder Prevention,” Journal of Voice, vol. 3200, 2020, doi: 10.1016/j.jvoice.2020.10.015[288] L. Bu, C. H. Chen, K. K. H. Ng, P. Zheng, G. Dong, and H. Liu, “A user-centric design approach for smart product-service systems using virtual reality: A case study,” Journal of Cleaner Production, vol. 280, p. 124413, 2021, doi: 10.1016/j.jclepro.2020.124413[289] H. Khalajzadeh, T. Verma, A. J. Simmons, J. Grundy, M. Abdelrazek, and J. Hosking, “User-centred tooling for modelling of big data applications,” Proceedings - 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, MODELS-C 2020 - Companion Proceedings, pp. 31–35, 2020, doi: 10.1145/3417990.3422004[290] G. A. García-Mireles, M. Á. Moraga, and F. García, “Development of maturity models: A systematic literature review,” IET Seminar Digest, vol. 2012, no. 1, pp. 279–283, 2012, doi: 10.1049/ic.2012.0036[291] J. Wang and A. Moulden, “AI Trust Score: A User-Centered Approach to Building, Designing, and Measuring the Success of Intelligent Workplace Features,” Conference on Human Factors in Computing Systems - Proceedings, 2021, doi: 10.1145/3411763.3443452.[292] J. Escobar-Pérez and Á. Cuervo-Martínez, “Validez de contenido y juicio de expertos: una aproximación a su utilización,” Avances en medición, vol. 6, no. 1, pp. 27–36, 2008.[293] G. C. Vázquez González, I. U. Jiménez Macías, and L. G. Juárez Hernández, “Construction-validation of the questionnaire: Maturity of knowledge management to educational innovation in universities,” Apertura, vol. 12, no. 1, Mar. 2020, doi: 10.32870/Ap.v12n1.1767.[294] J. Escobar and Á. Cuervo, “Validez de contenido y juicio de expertos: una aproximación a su utilización,” Polymer, 2008.[295] J. S. Grant and L. L. Davis, “Selection and use of content experts for instrument development,” Research in Nursing & Health, vol. 20, no. 3, pp. 269–274, 1997, doi: 10.1002/(sici)1098240x(199706)20:3<269::aid-nur9>3.3.co;2-3[296] R. Skjong and B. H. Wentworth, “Expert judgment and risk perception,” Proceedings of the International Offshore and Polar Engineering Conference, vol. 4, pp. 537–544, 2001.[297] A. Raza, L. F. Capretz, and F. Ahmed, “An open source usability maturity model (OS-UMM),” Computers in Human Behavior, vol. 28, no. 4, pp. 1109–1121, 2012, doi: 10.1016/j.chb.2012.01.018[298] S. Beecham, T. Hall, C. Britton, M. Cottee, and A. Rainer, “Using an expert panel to validate a requirements process improvement model,” The journal of systems and software, vol. 76, pp. 251–275, 2005, doi: 10.1016/j.jss.2004.06.004[299] C. Shaoyong, T. Yirong, and L. Zhefu, “UNITA : A Reference Model of University IT Architecture,” ICCIS ’16: Proceedings of the 2016 International Conference on Communication and Information Systems, pp. 73–77, 2016, doi: 10.1145/3023924.3023949[300] H. Chaoui and I. Makdoun, “A new secure model for the use of cloud computing in big data analytics,” pp. 1–11, 2018, doi: 10.1145/3018896.3018913[301] S. Chaveesuk, P. Wutthirong, and W. Chaiyasoonthorn, “Cloud Computing Classroom Acceptance Model in Thailand Higher Education’s Institutes,” in Proceedings of the 2018 10th International Conference on Information Management and Engineering - ICIME 2018, 2018, pp. 141–145. doi: 10.1145/3285957.3285989[302] F. Nikolopoulos, “Using UTAUT2 for Cloud Computing Technology Acceptance Modeling,” no. 1995, 2017[303] B. B. Rad, T. Diaby, and M. E. Rana, “Cloud Computing Adoption,” in Proceedings of the 2017 International Conference on E-commerce, E-Business and E-Government - ICEEG 2017, 2017, no. June, pp. 51–55. doi: 10.1145/3108421.3108426[304] E. H. Steele and I. R. Guzman, “Investigating the Role of Top Management and Institutional Pressures in Cloud Computing Adoption,” pp. 25–26, 2016.[305] A. M. Shaaban, C. Schmittner, T. Gruber, G. Quirchmayr, and E. Schikuta, “CloudWoT - A Reference Model for Knowledge-based IoT Solutions,” 2018, doi: 10.1145/3282373.3282400.[306] M. Basingab, L. Rabelo, C. Rose, and E. Gutiérrez, “Business Modeling Based on Internet of Things : A Case Study of Predictive Maintenance Software Using ABS Model,” 2017, doi: 10.1145/3018896.3018905[307] M.-C. Vega-Hernández, M.-C. Patino-Alonso, and M.-P. Galindo-Villardón, “Multivariate characterization of university students using the ICT for learning,” Computers & Education, vol. 121, pp. 124–130, Jun. 2018, doi: 10.1016/j.compedu.2018.03.004.[308] u-planner, “U-planner,” 2019[309] Bizagi, “Bizagi,” 2019[309] Bizagi, “Bizagi,” 2019.[310] Analytikus, “Analytikus,”[311] Y. Medina and Dewar. Rico-Bautista, “Modelo de gestión de servicios para la universidad de Pamplona: ITIL,” Scientia Et Technica, vol. XIV, no. 39, pp. 314–319, 2008[312] Y. Medina-Cárdenas and D. Rico- Bautista, “Modelo de gestión basado en el ciclo de vida del servicio de la Biblioteca de Infraestructura de Tecnologías de Información ( ITIL ),” Revista Virtual Universidad Católica del Norte, no. 27, pp. 1–21, 2009.[313] M. V Bueno-Delgado, P. Pavón-Marino, A. De-Gea-García, and A. Dolón-García, “The Smart University Experience: An NFC-Based Ubiquitous Environment,” in 2012 Sixth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, 2012, pp. 799–804. doi: 10.1109/IMIS.2012.110[314] O. A. Shvetsova, “Smart education in high school: New perspectives in global world,” in Proceedings of the 2017 International Conference “Quality Management, Transport and Information Security, Information Technologies”, IT and QM and IS 2017, 2017, pp. 688–691. doi: 10.1109/ITMQIS.2017.8085917.[315] T. Savov, V. Terzieva, K. Todorova, and P. Kademova-Katzarova, “CONTEMPORARY TECHNOLOGY SUPPORT FOR EDUCATION,” CBU International Conference Proceedings, vol. 5, pp. 802–806, Sep. 2017, doi: 10.12955/cbup.v5.1029.[316] A. M. Shaaban, C. Schmittner, T. Gruber, G. Quirchmayr, and E. Schikuta, “CloudWoT - A Reference Model for Knowledge-based IoT Solutions,” 2018, doi: 10.1145/3282373.3282400.[317] S. Chen, Y. Tang, and Z. Li, “UNITA: A reference model of university IT architecture,” in ACM International Conference Proceeding Series, 2016, pp. 73–77. doi: 10.1145/3023924.3023949[318] E. Barrientos-Avendaño and Y. Areniz-Arévalo, “Universidad inteligente: Oportunidades y desafíos desde la Industria 4.0,” Revista Ingenio UFPSO, vol. 16, no. 1, 2019, doi: 10.22463/2011642X.2343.[319] E. Barrientos-Avendaño, Y. Areniz-Arevalo, L. A. Coronel-Rojas, F. Cuesta-Quintero, and D. RicoBautista, “Industry foray model 4.0 applied to the food company your gourmet bread sas: Strategy for rebirth in the COVID-19 (SARS-CoV-2) pandemic [Modelo de incursión en la industria 4.0 aplicado a la compañía alimenticia tu pan gourmet sas: estrategia para el rena,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E34, pp. 436–449, 2020.[320] C. D. Guerrero and D. Rico-Bautista, “Center for excellence and internet acquisition of things: A commitment to competitiveness from alliances between government, academia and productive sector [Centro de excelencia y apropiación en internet de las cosas: Una apuesta a la competitividad desde,” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E28, pp. 615–628, 202[321] D. Mourtzis, E. Vlachou, and N. Milas, “Industrial Big Data as a Result of IoT Adoption in Manufacturing,” Procedia CIRP, vol. 55, pp. 290–295, 2016, doi: 10.1016/j.procir.2016.07.038.[322] I. C. Ehie and M. A. Chilton, “Understanding the influence of IT/OT Convergence on the adoption of Internet of Things (IoT) in manufacturing organizations: An empirical investigation,” Computers in Industry, vol. 115, p. 103166, Feb. 2020, doi: 10.1016/j.compind.2019.103166.[323] H. Xu, “Application of Cloud Computing Information Processing System in Network Education,” in International Conference on Applications and Techniques in Cyber Intelligence, ATCI 2019, vol. 1017, A. J.H., C. K.-K.R., I. R., X. Z., and A. M., Eds. Dianchi College of Yunnan University, Kunming, 650000, China: Springer Verlag, 2020, pp. 1809–1815. doi: 10.1007/978-3-030-25128-4_238[324] Y. C. Medina Cárdenas, Y. Areniz Arévalo, and D. W. Rico Bautista, Modelo estratégico para la gestión tecnológica en la organización: plan táctico de la calidad (ITIL & ISO 20000), vol. 1. Instituto Tecnológico Metropolitano, 2016. doi: 10.22430/9789585414006[325] Y. Medina-Cárdenas and D. Rico-Bautista, “Model of Administration of Services for the Universidad of Pamplona: ITIL,” Scientia Et Technica Scientia et Technica Año XIV, vol. 14, no. 39, pp. 314–319, 2008[326] R. D. Raut, P. Priyadarshinee, B. B. Gardas, and M. K. Jha, “Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach,” Technological Forecasting and Social Change, vol. 134, no. July 2017, pp. 98–123, Sep. 2018, doi: 10.1016/j.techfore.2018.05.020[327] R. El-Gazzar, E. Hustad, and D. H. Olsen, “Understanding cloud computing adoption issues: A Delphi study approach,” Journal of Systems and Software, vol. 118, pp. 64–84, Aug. 2016, doi: 10.1016/j.jss.2016.04.061[328] J. Cecil, “A Collaborative Manufacturing Approach supporting adoption of IoT Principles in Micro Devices Assembly,” Procedia Manufacturing, vol. 26, pp. 1265–1277, 2018, doi: 10.1016/j.promfg.2018.07.141[329] W. Hao, Z. Huang, and L. Shi, “Research on college students’ ideological and political education and daily performance evaluation model based on big data,” Journal of Advanced Oxidation Technologies, vol. 21, no. 2, 2018, doi: 10.26802/jaots.2018.01625[330] Y. H. Kim and J. Ahn, “A Study on the Application of Big Data to the Korean College Education System,” Procedia Computer Science, vol. 91, no. Itqm 2016, pp. 855–861, 2016, doi: 10.1016/j.procs.2016.07.096[331] T. G. Ramos, J. C. F. Machado, and B. P. V. Cordeiro, “Primary Education Evaluation in Brazil Using Big Data and Cluster Analysis,” Procedia Computer Science, vol. 55, no. Itqm, pp. 1031–1039, 2015, doi: 10.1016/j.procs.2015.07.061[332] R. H. Hamilton and W. A. Sodeman, “The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources,” Business Horizons, vol. 63, no. 1, pp. 85–95, Jan. 2020, doi: 10.1016/j.bushor.2019.10.001[333] J. Wu, H. Li, L. Liu, and H. Zheng, “Adoption of big data and analytics in mobile healthcare market: An economic perspective,” Electronic Commerce Research and Applications, vol. 22, pp. 24–41, Mar. 2017, doi: 10.1016/j.elerap.2017.02.002[334] Z. Allam and Z. A. Dhunny, “On big data, artificial intelligence and smart cities,” Cities, vol. 89, no. January, pp. 80–91, Jun. 2019, doi: 10.1016/j.cities.2019.01.032[335] M. A. Goralski and T. K. Tan, “Artificial intelligence and sustainable development,” The International Journal of Management Education, vol. 18, no. 1, p. 100330, Mar. 2020, doi: 10.1016/j.ijme.2019.100330.[336] C. R. Deig, A. Kanwar, and R. F. Thompson, “Artificial Intelligence in Radiation Oncology,” Hematology/Oncology Clinics of North America, vol. 33, no. 6, pp. 1095–1104, Dec. 2019, doi: 10.1016/j.hoc.2019.08.003[337] M. Chassignol, A. Khoroshavin, A. Klimova, and A. Bilyatdinova, “Artificial Intelligence trends in education: a narrative overview,” Procedia Computer Science, vol. 136, pp. 16–24, 2018, doi: 10.1016/j.procs.2018.08.233[338] E. Barrientos-Avendaño, L. A. Coronel-Rojas, F. Cuesta-Quintero, and D. Rico-Bautista, “Store-tostore sales management system: Applying artificial intelligence techniques [Sistema de administración de ventas tienda a tienda: Aplicando técnicas de inteligencia artificial],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, vol. 2020, no. E27, pp. 677–689, 2020.[339] A. Kankanhalli, Y. Charalabidis, and S. Mellouli, “IoT and AI for Smart Government: A Research Agenda,” Government Information Quarterly, vol. 36, no. 2, pp. 304–309, Apr. 2019, doi: 10.1016/j.giq.2019.02.003[340] A. Y. Sheikh and J. I. Fann, “Artificial Intelligence,” Thoracic Surgery Clinics, vol. 29, no. 3, pp. 339– 350, Aug. 2019, doi: 10.1016/j.thorsurg.2019.03.011[341] A. Haleem, M. Javaid, and I. H. Khan, “Current status and applications of Artificial Intelligence (AI) in medical field: An overview,” Current Medicine Research and Practice, vol. 9, no. 6, pp. 231–237, Nov. 2019, doi: 10.1016/j.cmrp.2019.11.005[342] T. Granollers i Saltiveri, “MPIu+a. Una metodología que integra la Ingeniería del Software, la Interacción Persona-Ordenador y la Accesibilidad en el contexto de equipos de desarrollo multidisciplinares,” 2004[343] U. de Lleida, “Departament de Llenguatges i Sistemes Informàtics Universitat de Lleida Lleida, julio 2004,” Screen, 2004[344] V. De Freitas, “Model of Maturity in Knowledge Management System, From a Holistic Approach,” Negotium, vol. Revista Ci, pp. 5–31, 2018[345] F. RICHARDSON and G. LEóN, “Instrumento para determinar el nivel de madurez en la adopción de tecnologías escolar en la educación primaria en escuelas públicas de la República Dominicana,” 2019.[346] L. C. Ñungo Pinzón, B. Torres González, and J. I. Palacios Osma, “Modelo de nivel de madurez para los procesos de emprendimiento en las pymes colombianas,” Ingeniería Solidaria, vol. 14, no. 26, Dec. 2018, doi: 10.16925/in.v14i26.2456.[347] L. v. Glukhova, S. D. Syrotyuk, A. A. Sherstobitova, and S. v. Pavlova, “Smart University Development Evaluation Models,” in Smart Innovation, Systems and Technologies, vol. 144, Springer Science and Business Media Deutschland GmbH, 2019, pp. 539–549. doi: 10.1007/978-981-13-8260-4_47[348] D. Lee, J. Gu, and H. Jung, “Process maturity models: Classification by application sectors and validities studies,” Journal of Software: Evolution and Process, vol. 31, no. 4, p. e2161, Apr. 2019, doi: 10.1002/smr.2161.[349] S. Beecham, T. Hall, and A. Rainer, “Defining a Requirements Process Improvement Model,” Software Quality Journal, vol. 13, no. 3, pp. 247–279, Sep. 2005, doi: 10.1007/s11219-005-1752-9.[350] U. Benjamín et al., “EVALUACIÓN DE LA MADUREZ DE LOS PRINCIPIOS LEAN EN PROYECTOS DE CONSTRUCCIÓN,” 2016[351] M. Gina and P. M. Gongora, “FRAMEWORK DE GESTIÓN DE TECNOLOGÍAS DE INFORMACIÓN PARA CIUDADES INTELIGENTES: CASO COLOMBIANO TESIS DOCTORAL,” Barranquilla, 2017.[352] L. C. Ñungo Pinzón, B. Torres González, and J. I. Palacios Osma, “Modelo de nivel de madurez para los procesos de emprendimiento en las pymes colombianas,” Ingeniería Solidaria, vol. 14, no. 26, 2018, doi: 10.16925/in.v14i26.2456[353] R. Morales Fernandez, J. A. Brieto Rojas, and J. A. Villaseñor Marcial, “CMMI - Capability Maturity Model Integration,” MIPRO 2008 - 31st International Convention Proceedings: Digital Economy - 5th ALADIN, Information Systems Security, Business Intelligence Systems, Local Government and Student Papers, vol. 5, no. Cmmi, pp. 229–234, 2008.[354] E. Pérez Mergarejo, I. Pérez Vergara, and Y. Rodriguez Ruiz, “Modelos de madurez y su idoneidad para aplicar en pequeñas y medianas empresas / Maturity models and the suitability of its application in small and medium enterprises,” Ingeniería Industrial, vol. XXXV, no. 2, pp. 146–158, 20[355] R. Galeano, “Diseño Hipermedia centrado en el usuario,” Universidad Pontificia Bolivariana, vol. 2, no. 4, pp. 1–15, 2008[356] T. Granollers, “Diseño Centrado en el Usuario (DCU). El modelo MPlu+a,” p. 71, 2013[357] M. Garreta Domingo and E. Mor Pera, “Diseño centrado en el usuario (I). Introducción,” El Profesional de la Informacion, vol. 12, no. 1, pp. 52–54, 2003, doi: 10.1076/epri.12.1.52.19713.[358] L. Perurena Cancio and M. Moráguez Bergues, “Usabilidad de los sitios Web, los métodos y las técnicas para la evaluación,” Usabilidad de los sitios Web, los métodos y las técnicas para la evaluación, vol. 24, no. 2, pp. 176–194, 2013[359] E. E. Grandon, A. A. Ibarra, S. A. Guzman, P. Ramirez-Correa, and J. Alfaro-Perez, “Internet of Things: Factors that influence its adoption among Chilean SMEs,” in 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), Jun. 2018, pp. 1–6. doi: 10.23919/CISTI.2018.8399183.[360] F. Authors, “An exploratory study of Internet of Things ( IoT ) adoption intention in logistics and supply chain management - a mixed research approach,” 2016[361] P. Brous, M. Janssen, and P. Herder, “The dual effects of the Internet of Things ( IoT ): A systematic review of the benefits and risks of IoT adoption by organizations,” International Journal of Information Management, no. May, pp. 1–17, 2019, doi: 10.1016/j.ijinfomgt.2019.05.008[362] H. Shaikh, Z. A. Mahar, and A. Raza, “A Conceptual Framework for Determining Acceptance of Internet of Things ( IoT ) in Higher Education Institutions of Pakistan,” 2019 International Conference on Information Science and Communication Technology (ICISCT), pp. 1–5, 2019.[363] M. Mital, P. Choudhary, V. Chang, A. Papa, and A. K. Pani, “Technological Forecasting & Social Change Adoption of Internet of Things in India : A test of competing models using a structured equation modeling approach,” Technological Forecasting & Social Change, pp. 1–8, 2017, doi: 10.1016/j.techfore.2017.03.001[364] S. Kang, H. B. Rn, E. Jung, and H. Hwang, “Survey on the demand for adoption of Internet of Things ( IoT ) -based services in hospitals : Investigation of nurses ’ perception in a tertiary university hospital,” Applied Nursing Research, vol. 47, no. May 2018, pp. 18–23, 2019, doi: 10.1016/j.apnr.2019.03.005[365] F. Authors, “Adoption of internet of things ( IOT ) based wearables for elderly healthcare – a behavioural reasoning theory ( BRT ) approach,” 2018, doi: 10.1108/JET-12-2017-0048.[366] R. BaÅ¡kovÃ¡, Z. StrukovÃ¡, and M. KozlovskÃ¡, “Construction Cost Saving Through Adoption of IoT Applications in Concrete Works,” Lecture Notes in Civil Engineering, vol. 47, pp. 452–459, 2020, doi: 10.1007/978-3-030-27011-7_57[367] Y. Kao, K. Nawata, and C. Huang, “An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers,” 2019.[368] M. Mital, P. Choudhary, V. Chang, A. Papa, and A. K. Pani, “Technological Forecasting & Social Change Adoption of Internet of Things in India : A test of competing models using a structured equation modeling approach,” Technological Forecasting & Social Change, pp. 1–8, 2017, doi: 10.1016/j.techfore.2017.03.001[369] M. Fahmideh and D. Zowghi, “An exploration of IoT platform development,” Information Systems, vol. 87, p. 101409, 2020, doi: 10.1016/j.is.2019.06.005[370] S. Kang, H. B. Rn, E. Jung, and H. Hwang, “Survey on the demand for adoption of Internet of Things ( IoT ) -based services in hospitals : Investigation of nurses ’ perception in a tertiary university hospital,” Applied Nursing Research, vol. 47, no. May 2018, pp. 18–23, 2019, doi: 10.1016/j.apnr.2019.03.005[371] M. Al-Emran, S. I. Malik, and M. N. Al-Kabi, “A Survey of Internet of Things (IoT) in Education: Opportunities and Challenges,” Studies in Computational Intelligence, vol. 846, pp. 197–209, 2020, doi: 10.1007/978-3-030-24513-9_12[372] H. Shaikh, Z. A. Mahar, and A. Raza, “A Conceptual Framework for Determining Acceptance of Internet of Things ( IoT ) in Higher Education Institutions of Pakistan,” 2019 International Conference on Information Science and Communication Technology (ICISCT), pp. 1–5, 2019.[373] R. Scherer, F. Siddiq, and J. Tondeur, “The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education,” Computers and Education, vol. 128, pp. 13–35, 2019, doi: 10.1016/j.compedu.2018.09.009.[374] Y. S. Kao, K. Nawata, and C. Y. Huang, “An exploration and confirmation of the factors influencing adoption of IoT-basedwearable fitness trackers,” International Journal of Environmental Research and Public Health, vol. 16, no. 18, 2019, doi: 10.3390/ijerph16183227.[375] P. K. Paul, “Usability engineering and hci for promoting root-level social computation and informatics practice: A possible academic move in the indian perspective,” International Journal of Asian Business and Information Management, vol. 12, no. 2, pp. 96–109, 2021, doi: 10.4018/IJABIM.20210401.oa6[376] M. A. Castaño González, “Índice de madurez de transformación digital de las empresas Colombianas,” Cintel, pp. 1–36, 2016[377] P. Pinheiro, M. Aparicio, and C. Costa, “Adoption of cloud computing systems,” in Proceedings of the International Conference on Information Systems and Design of Communication - ISDOC ’14, 2014, pp. 127–131. doi: 10.1145/2618168.2618188[378] H. Xu, International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019, vol. 1017. Cham: Springer International Publishing, 2020. doi: 10.1007/978-3-030-25128-4[379] B. B. Rad, T. Diaby, and M. E. Rana, “Cloud Computing Adoption,” in Proceedings of the 2017 International Conference on E-commerce, E-Business and E-Government - ICEEG 2017, 2017, pp. 51– 55. doi: 10.1145/3108421.3108426[380] B. B. Rad, T. Diaby, and M. E. Rana, “Cloud Computing Adoption,” in Proceedings of the 2017 International Conference on E-commerce, E-Business and E-Government - ICEEG 2017, 2017, pp. 51– 55. doi: 10.1145/3108421.3108426[381] H. Vasudavan, K. Shanmugam, and H. A. Ahmada, “User Perceptions in Adopting Cloud Computing in Autonomous Vehicle,” in Proceedings of the 6th International Conference on Information Technology: IoT and Smart City - ICIT 2018, 2018, pp. 151–156. doi: 10.1145/3301551.3301583[382] D. S. Jat, M. S. Haodom, and A. Peters, “Relevance of Cloud Computing in Namibia,” in Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies - ICTCS ’16, 2016, pp. 1–4. doi: 10.1145/2905055.2905301[383] T. Branco, F. de Sá-Soares, and A. L. Rivero, “Key Issues for the Successful Adoption of Cloud Computing,” Procedia Computer Science, vol. 121, pp. 115–122, 2017, doi: 10.1016/j.procs.2017.11.016.[384] R. D. Raut, P. Priyadarshinee, B. B. Gardas, and M. K. Jha, “Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach,” Technological Forecasting and Social Change, vol. 134, no. July 2017, pp. 98–123, Sep. 2018, doi: 10.1016/j.techfore.2018.05.020[385] R. El-Gazzar, E. Hustad, and D. H. Olsen, “Understanding cloud computing adoption issues: A Delphi study approach,” Journal of Systems and Software, vol. 118, pp. 64–84, Aug. 2016, doi: 10.1016/j.jss.2016.04.061[386] D. S. Jat, M. S. Haodom, and A. Peters, “Relevance of Cloud Computing in Namibia,” in Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies - ICTCS ’16, 2016, pp. 1–4. doi: 10.1145/2905055.29053[387] M. Al-Ruithe, E. Benkhelifa, and K. Hameed, “Current State of Cloud Computing Adoption – An Empirical Study in Major Public Sector Organizations of Saudi Arabia (KSA),” Procedia Computer Science, vol. 110, pp. 378–385, 2017, doi: 10.1016/j.procs.2017.06.080[388] O. Sabri, “Measuring is Success Factors of Adopting Cloud Computing from Enterprise Overview,” in Proceedings of the The International Conference on Engineering & MIS 2015 - ICEMIS ’15, 2015, pp. 1–5. doi: 10.1145/2832987.2832993[389] F. Alharbi, A. Atkins, and C. Stanier, “Cloud Computing Adoption Readiness Assessment in Saudi Healthcare Organisations : A Strategic View,” 2017.[390] U. Nasir and M. Niazi, “Cloud computing adoption assessment model (CAAM),” in Proceedings of the 12th International Conference on Product Focused Software Development and Process Improvement - Profes ’11, 2011, vol. 44, no. 0, pp. 34–37. doi: 10.1145/2181101.2181110[391] J. Cecil, “A Collaborative Manufacturing Approach supporting adoption of IoT Principles in Micro Devices Assembly,” Procedia Manufacturing, vol. 26, pp. 1265–1277, 2018, doi: 10.1016/j.promfg.2018.07.141.[392] R. F. El-gazzar, “An Overview of Cloud Computing Adoption Challenges in the Norwegian Context,” 2014.[393] R. F. El-gazzar, “An Overview of Cloud Computing Adoption Challenges in the Norwegian Context,” 2014[394] H. Hassan, “ScienceDirect ScienceDirect Organisational factors affecting cloud computing adoption in small and medium enterprises ( SMEs ) in service sector,” Procedia Computer Science, vol. 121, pp. 976–981, 2017, doi: 10.1016/j.procs.2017.11.126[395] I. Arpaci, “Antecedents and consequences of cloud computing adoption in education to achieve knowledge management,” Computers in Human Behavior, vol. 70, pp. 382–390, May 2017, doi: 10.1016/j.chb.2017.01.024[396] H. M. Sabi, F. E. Uzoka, K. Langmia, and F. N. Njeh, “Conceptualizing a model for adoption of cloud computing in education,” International Journal of Information Management, vol. 36, no. 2, pp. 183– 191, Apr. 2016, doi: 10.1016/j.ijinfomgt.2015.11.010[397] F. Gao and A. Sunyaev, “International Journal of Information Management Context matters : A review of the determinant factors in the decision to adopt cloud computing in healthcare,” International Journal of Information Management, vol. 48, no. February, pp. 120–138, 2019, doi: 10.1016/j.ijinfomgt.2019.02.002.[398] K. Njenga, L. Garg, A. K. Bhardwaj, V. Prakash, and S. Bawa, “The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward,” Telematics and Informatics, vol. 38, no. May, pp. 225–246, May 2019, doi: 10.1016/j.tele.2018.10.007[399] P. Priyadarshinee, R. D. Raut, M. K. Jha, and B. B. Gardas, “Understanding and predicting the determinants of cloud computing adoption: A two staged hybrid SEM - Neural networks approach,” Computers in Human Behavior, vol. 76, pp. 341–362, Nov. 2017, doi: 10.1016/j.chb.2017.07.027.[400] W. Hao, Z. Huang, and L. Shi, “Research on college students’ ideological and political education and daily performance evaluation model based on big data,” Journal of Advanced Oxidation Technologies, vol. 21, no. 2, 2018, doi: 10.26802/jaots.2018.01625.[401] J. Wu, H. Li, L. Liu, and H. Zheng, “Adoption of big data and analytics in mobile healthcare market: An economic perspective,” Electronic Commerce Research and Applications, vol. 22, pp. 24–41, Mar. 2017, doi: 10.1016/j.elerap.2017.02.002[402] Y. H. Kim and J. Ahn, “A Study on the Application of Big Data to the Korean College Education System,” Procedia Computer Science, vol. 91, no. Itqm 2016, pp. 855–861, 2016, doi: 10.1016/j.procs.2016.07.096.[403] M. Shorfuzzaman, M. S. Hossain, A. Nazir, G. Muhammad, and A. Alamri, “Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment,” Computers in Human Behavior, vol. 92, pp. 578–588, Mar. 2019, doi: 10.1016/j.chb.2018.07.002[403] M. Shorfuzzaman, M. S. Hossain, A. Nazir, G. Muhammad, and A. Alamri, “Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment,” Computers in Human Behavior, vol. 92, pp. 578–588, Mar. 2019, doi: 10.1016/j.chb.2018.07.002. [404] T. G. Ramos, J. C. F. Machado, and B. P. V. Cordeiro, “Primary Education Evaluation in[404] T. G. Ramos, J. C. F. Machado, and B. P. V. Cordeiro, “Primary Education Evaluation in Brazil Using Big Data and Cluster Analysis,” Procedia Computer Science, vol. 55, no. Itqm, pp. 1031–1039, 2015, doi: 10.1016/j.procs.2015.07.061.[405] R. H. Hamilton and W. A. Sodeman, “The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources,” Business Horizons, vol. 63, no. 1, pp. 85–95, Jan. 2020, doi: 10.1016/j.bushor.2019.10.001[406] F. P. S. Surbakti, W. Wang, M. Indulska, and S. Sadiq, “Factors influencing effective use of big data: A research framework,” Information & Management, vol. 57, no. 1, p. 103146, Jan. 2020, doi: 10.1016/j.im.2019.02.001[407] U. D. Kumar, Analytics Education Ms Purvi Tiwari , Research Associates at DCAL , Indian Institute of Management. Elsevier Ltd, 2019. doi: 10.1016/j.iimb.2019.10.014[408] M. Zapata-ros, “La universidad inteligente La transición de los LMS a los Sistemas Inteligentes de Aprendizaje en Educación Superior The smart university,” vol. 57, no. 10, pp. 1–43, 2018.[409] N. Mehta, A. Pandit, and S. Shukla, “Transforming Healthcare with Big Data Analytics and Artificial Intelligence: A Systematic Mapping Study,” Journal of Biomedical Informatics, p. 103311, 2019, doi: 10.1016/j.jbi.2019.103311.[410] J. A. Carrillo Ruiz et al., “Big Data En Los Entornos De Defensa Y Seguridad,” 2003.[411] A. S. Leví, “Aproximación al Big Data . Análisis de su posible utilización en la universidad pública,” 2018[412] Z. Allam and Z. A. Dhunny, “On big data, artificial intelligence and smart cities,” Cities, vol. 89, no. January, pp. 80–91, Jun. 2019, doi: 10.1016/j.cities.2019.01.032[413] M. A. Goralski and T. K. Tan, “Artificial intelligence and sustainable development,” The International Journal of Management Education, vol. 18, no. 1, p. 100330, Mar. 2020, doi: 10.1016/j.ijme.2019.100330[414] C. R. Deig, A. Kanwar, and R. F. Thompson, “Artificial Intelligence in Radiation Oncology,” Hematology/Oncology Clinics of North America, vol. 33, no. 6, pp. 1095–1104, Dec. 2019, doi: 10.1016/j.hoc.2019.08.003[415] M. Chassignol, A. Khoroshavin, A. Klimova, and A. Bilyatdinova, “Artificial Intelligence trends in education: a narrative overview,” Procedia Computer Science, vol. 136, pp. 16–24, 2018, doi: 10.1016/j.procs.2018.08.233[416] R. Bajaj and V. Sharma, “ScienceDirect ScienceDirect Smart Education with artificial intelligence based determination of Smart Education with artificial intelligence learning styles based determination of learning styles,” Procedia Computer Science, vol. 132, pp. 834–842, 2018, doi: 10.1016/j.procs.2018.05.095[417] A. Kankanhalli, Y. Charalabidis, and S. Mellouli, “IoT and AI for Smart Government: A Research Agenda,” Government Information Quarterly, vol. 36, no. 2, pp. 304–309, Apr. 2019, doi: 10.1016/j.giq.2019.02.003[418] A. Y. Sheikh and J. I. Fann, “Artificial Intelligence,” Thoracic Surgery Clinics, vol. 29, no. 3, pp. 339– 350, Aug. 2019, doi: 10.1016/j.thorsurg.2019.03.011[419] A. Blandford, “education : the potential offered by artificial intellige e tech s,” pp. 212–222, 1990[420] A. Haleem, M. Javaid, and I. H. Khan, “Current status and applications of Artificial Intelligence (AI) in medical field: An overview,” Current Medicine Research and Practice, vol. 9, no. 6, pp. 231–237, Nov. 2019, doi: 10.1016/j.cmrp.2019.11.005.[421] I. y U. Ministerio de Ciencia, “Estrategia Española De I+D+I En Inteligencia Artificial,” p. 48, 2019[422] J. G. Sierra Llorente, Y. A. Palmezano Córdoba, and B. S. Romero Mora, “CAUSAS QUE DETERMINAN LAS DIFICULTADES DE LA INCORPORACIÓN DE LAS TIC EN LAS AULAS DE CLASES - Causes that determine the difficulties in the onboarding process of ICT in classrooms,” Panorama, vol. 12, no. 22, pp. 31–41, 2018, doi: 10.15765/pnrm.v12i22.1064[423] MINTIC, “Análisis del sector dirección de gobierno digital,” Ministerio de las tecnologías de la información, vol. 57, no. 1, p. 31, 2019.[424] H. A. Botello Peñaloza, O. E. Contreras Pacheco, and P. Avella. A. Cecilia, “Análisis empresarial de la influencia de las TIC en el desempeño de las empresas de servicios en Colombia,” Panorama, vol. 4, no. 8, pp. 3–15, 2013, doi: 10.15765/pnrm.v4i8.57.[425] M. E. Rojas Salgado, “Los recursos tecnológicos como soporte para la enseñanza de las ciencias naturales - Technological resources as support in natural sciences teaching,” Hamut’Ay, vol. 4, no. 1, p. 85, 2017, doi: 10.21503/hamu.v4i1.1403[426] Universidad Santo Tomás, “Documento Marco Tecnologías de la Información y la Comunicación,” 2015.[427] F. I. Díazgranados et al., Uso De Recursos Educativos En Educación Superior. 2018. doi: 10.2307/j.ctt2050wh0.7[428] C. Alberto, F. Reboreda, C. Alberto, and F. Reboreda, “UD igital,” 2020[429] D. Rico-Bautista, C. D. Guerrero, Y. Medina-Cárdenas, and A. García-Barreto, “Analysis of the potential value of technology: Case of universidad francisco de paula santander Ocaña [Análisis del valor potencial de la tecnología: Caso universidad francisco de paula santander Ocaña],” RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, no. E17, pp. 756–774, 2019[430] D. Rico-Bautista and Y. Medina-Cárdenas, “Modelo institucional de autoevaluación y mejoramiento continuo: Proceso misional de investigación de la Universidad Francisco de Paula Santander Ocaña (UFPSO). Un caso de éxito,” Revista Iberoamericana CTS, vol. Abril, pp. 1–14, 2[431] M. Arrieta, M. Sanguino, and C. Lobo, “Diseño de un plan estratégico de tecnologías de información para la Universidad Francisco de Paula Santander Ocaña,” 2015. [[432] J. F. Rockart, “Chief executives define their own data needs.,” Harvard Business Review, 1979, doi: Article.[433] M. Arrieta, M. Sanguino, and C. Lobo, “Diseño de un plan estratégico de tecnologías de información para la Universidad Francisco de Paula Santander Ocaña,” 2015.[434] M. E. Porter, “Competitive Advantage,” Competitive Advantage: Creating and Sustaining Superior Performance. 1985. doi: 10.1182/blood-2005-11-4354.[435] D. S. Hidayat and D. I. Sensuse, “Knowledge Management Model for Smart Campus in Indonesia,” Data, vol. 7, no. 1, p. 7, Jan. 2022, doi: 10.3390/data7010007[436] V. Salazar Solano, J. M. Moreno Dena, I. S. Rojas Rodríguez, and L. A. Islas Olavarrieta, “Nivel de adopción de tecnologías de la información y la comunicación en empresas comercializadoras de mango en Nayarit – México,” Estudios Gerenciales, vol. 34, no. 148, pp. 292–304, Sep. 2018, doi: 10.18046/j.estger.2018.148.2639[437] S. Dalal, D. Khodyakov, R. Srinivasan, S. Straus, and J. Adams, “ExpertLens: A system for eliciting opinions from a large pool of non-collocated experts with diverse knowledge,” Technological Forecasting and Social[438] S. Beecham, T. Hall, C. Britton, M. Cottee, and A. Rainer, “Using an expert panel to validate a requirements process improvement model,” Journal of Systems and Software, vol. 76, no. 3, pp. 251– 275, Jun. 2005, doi: 10.1016/j.jss.2004.06.004.[439] M. Kopyto, S. Lechler, H. A. von der Gracht, and E. Hartmann, “Potentials of blockchain technology in supply chain management: Long-term judgments of an international expert panel,” Technological Forecasting and Social Change, vol. 161, p. 120330, Dec. 2020, doi: 10.1016/j.techfore.2020.120330[440] L. A. Galicia Alarcón, J. A. Balderrama Trápaga, and R. Edel Navarro, “Content validity by experts judgment: Proposal for[441] F. Sheikhshoaei, N. Naghshineh, S. Alidousti, M. Nakhoda, and H. Dehdarirad, “Development and validation of a measuring instrument for digital library maturity,” Library & Information Science Research, vol. 43, no. 3, p. 101101, Jul. 2021, doi: 10.1016/j.lisr.2021.101101[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.[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.v0i71.577[444] C. U. Españolas, “TIC 360o - Transformación Digital en la Universidad,” 2017[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_51ORIGINAL2022_Tesis_Dewar_Rico.pdf2022_Tesis_Dewar_Rico.pdfTesisapplication/pdf4836133https://repository.unab.edu.co/bitstream/20.500.12749/16730/1/2022_Tesis_Dewar_Rico.pdf34b45446d774533b84addc9b46d711e2MD51open access2022_Impacto_Dewar_Rico.pdf2022_Impacto_Dewar_Rico.pdfImpacto del trabajoapplication/pdf98366https://repository.unab.edu.co/bitstream/20.500.12749/16730/2/2022_Impacto_Dewar_Rico.pdfcb1469142564f35e578dd776c4c8786aMD52open access2022_Licencia_Dewar_Rico.pdf2022_Licencia_Dewar_Rico.pdfLicenciaapplication/pdf279643https://repository.unab.edu.co/bitstream/20.500.12749/16730/3/2022_Licencia_Dewar_Rico.pdf297de2f88776a0ca055a6f1fcb1fd547MD53metadata only accessLICENSElicense.txtlicense.txttext/plain; charset=utf-8829https://repository.unab.edu.co/bitstream/20.500.12749/16730/4/license.txt3755c0cfdb77e29f2b9125d7a45dd316MD54open accessTHUMBNAIL2022_Tesis_Dewar_Rico.pdf.jpg2022_Tesis_Dewar_Rico.pdf.jpgIM Thumbnailimage/jpeg6191https://repository.unab.edu.co/bitstream/20.500.12749/16730/5/2022_Tesis_Dewar_Rico.pdf.jpg72cc3b777cff5edb07c8f3452ca555f7MD55open access2022_Impacto_Dewar_Rico.pdf.jpg2022_Impacto_Dewar_Rico.pdf.jpgIM Thumbnailimage/jpeg6334https://repository.unab.edu.co/bitstream/20.500.12749/16730/6/2022_Impacto_Dewar_Rico.pdf.jpg981644b308b3eb8ef53ff6cde32ce62cMD56open access2022_Licencia_Dewar_Rico.pdf.jpg2022_Licencia_Dewar_Rico.pdf.jpgIM Thumbnailimage/jpeg10176https://repository.unab.edu.co/bitstream/20.500.12749/16730/7/2022_Licencia_Dewar_Rico.pdf.jpga53e098d152b5f3ed396e909faf2b811MD57open access20.500.12749/16730oai:repository.unab.edu.co:20.500.12749/167302024-10-15 17:23:20.374open accessRepositorio Institucional \| Universidad Autónoma de Bucaramanga - UNABrepositorio@unab.edu.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

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

Publicaciones similares