Universidad inteligente: Factores claves para la adopción de internet de las cosas y big data
El concepto de universidad inteligente es emergente, fuertemente anclado a las tecnologías inteligentes, y considerado por diferentes autores. Las organizaciones, incluidas las universidades, necesitan incorporar las tecnologías inteligentes para aprovechar las capacidades que proporcionan para tran...
- Autores:
-
Rico-Bautista, Dewar
Maestre-Góngora, Gina Paola
Guerrero, Cesar D.
Medina-Cárdenas, Yurley
Areniz-Arévalo, Yesenia
Sanchez-Velasquez, María Camila
Barrientos-Avendaño, Edwin
- Tipo de recurso:
- Article of investigation
- Fecha de publicación:
- 2021
- Institución:
- Universidad Cooperativa de Colombia
- Repositorio:
- Repositorio UCC
- Idioma:
- OAI Identifier:
- oai:repository.ucc.edu.co:20.500.12494/36469
- Acceso en línea:
- https://scielo.pt/pdf/rist/n41/1646-9895-rist-41-63.pdf
https://hdl.handle.net/20.500.12494/36469
- Palabra clave:
- Big Data
Caracterización
Internet de las cosas
Tecnologías inteligentes
Universidad inteligente
Big Data
Characterization
Internet of Things
Smart technologies
Smart university
- Rights
- openAccess
- License
- Atribución – No comercial – Sin Derivar
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dc.title.spa.fl_str_mv |
Universidad inteligente: Factores claves para la adopción de internet de las cosas y big data |
title |
Universidad inteligente: Factores claves para la adopción de internet de las cosas y big data |
spellingShingle |
Universidad inteligente: Factores claves para la adopción de internet de las cosas y big data Big Data Caracterización Internet de las cosas Tecnologías inteligentes Universidad inteligente Big Data Characterization Internet of Things Smart technologies Smart university |
title_short |
Universidad inteligente: Factores claves para la adopción de internet de las cosas y big data |
title_full |
Universidad inteligente: Factores claves para la adopción de internet de las cosas y big data |
title_fullStr |
Universidad inteligente: Factores claves para la adopción de internet de las cosas y big data |
title_full_unstemmed |
Universidad inteligente: Factores claves para la adopción de internet de las cosas y big data |
title_sort |
Universidad inteligente: Factores claves para la adopción de internet de las cosas y big data |
dc.creator.fl_str_mv |
Rico-Bautista, Dewar Maestre-Góngora, Gina Paola Guerrero, Cesar D. Medina-Cárdenas, Yurley Areniz-Arévalo, Yesenia Sanchez-Velasquez, María Camila Barrientos-Avendaño, Edwin |
dc.contributor.author.none.fl_str_mv |
Rico-Bautista, Dewar Maestre-Góngora, Gina Paola Guerrero, Cesar D. Medina-Cárdenas, Yurley Areniz-Arévalo, Yesenia Sanchez-Velasquez, María Camila Barrientos-Avendaño, Edwin |
dc.subject.spa.fl_str_mv |
Big Data Caracterización Internet de las cosas Tecnologías inteligentes Universidad inteligente |
topic |
Big Data Caracterización Internet de las cosas Tecnologías inteligentes Universidad inteligente Big Data Characterization Internet of Things Smart technologies Smart university |
dc.subject.other.spa.fl_str_mv |
Big Data Characterization Internet of Things Smart technologies Smart university |
description |
El concepto de universidad inteligente es emergente, fuertemente anclado a las tecnologías inteligentes, y considerado por diferentes autores. Las organizaciones, incluidas las universidades, necesitan incorporar las tecnologías inteligentes para aprovechar las capacidades que proporcionan para transformar sus procesos e impulsarlas hacia nuevos modelos organizativos. Una universidad inteligente se centra en la mejora de su infraestructura tecnológica para alcanzar sus objetivos de calidad educativa. Este trabajo presenta los factores clave para la adopción de dos tecnologías inteligentes: Big Data y el Internet de las Cosas. Esta caracterización e integración permite concluir sobre la necesidad de alineación de la tecnología con los procesos de la organización, exigiendo una mayor interacción con la alta dirección. |
publishDate |
2021 |
dc.date.accessioned.none.fl_str_mv |
2021-11-22T14:23:14Z |
dc.date.available.none.fl_str_mv |
2021-11-22T14:23:14Z |
dc.date.issued.none.fl_str_mv |
2021-03-01 |
dc.type.none.fl_str_mv |
Artículos Científicos |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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info:eu-repo/semantics/article |
dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
status_str |
publishedVersion |
dc.identifier.issn.spa.fl_str_mv |
16469895 |
dc.identifier.uri.spa.fl_str_mv |
https://scielo.pt/pdf/rist/n41/1646-9895-rist-41-63.pdf |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12494/36469 |
dc.identifier.bibliographicCitation.spa.fl_str_mv |
Rico-Bautist, D., Maestre-Góngora, G. P., Guerrero, C. D., Medina-Cárdenas, Y., Areniz-Arévalo, Y., Sanchez-Velasquez, M.C. y Barrientos-Avendaño, E. (2021). Universidad inteligente: Factores claves para la adopción de internet de las cosas y big data. Revista Ibérica de Sistemas y Tecnologías de la Información. N. 42. DOI: 10.17013/risti.41.63–79 |
identifier_str_mv |
16469895 Rico-Bautist, D., Maestre-Góngora, G. P., Guerrero, C. D., Medina-Cárdenas, Y., Areniz-Arévalo, Y., Sanchez-Velasquez, M.C. y Barrientos-Avendaño, E. (2021). Universidad inteligente: Factores claves para la adopción de internet de las cosas y big data. Revista Ibérica de Sistemas y Tecnologías de la Información. N. 42. DOI: 10.17013/risti.41.63–79 |
url |
https://scielo.pt/pdf/rist/n41/1646-9895-rist-41-63.pdf https://hdl.handle.net/20.500.12494/36469 |
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Revista lbérica de Sistemas y Tecnologías de Información |
dc.relation.references.spa.fl_str_mv |
Abushakra, A., & Nikbin, D. (2019). Extending the UTAUT2 Model to Understand the Entrepreneur Acceptance and Adopting Internet of Things ( IoT ). Springer International Publishing. https://doi.org/10.1007/978-3-030-21451-7 Akhri, O., El Idrissi, Y., & Hmina, N. (2019). Enabling smart collaboration with smart university services. In ACM International Conference Proceeding Series. Association for Computing Machinery. https://doi.org/10.1145/3331453.3361311 Al-Momani, A. M., Mahmoud, M. A., & Ahmad, M. S. (2018). Factors that Influence the Acceptance of Internet of Things Services by Customers of Telecommunication Companies in Jordan. Journal of Organizational and End User Computing, 30(4), 51–63. https://doi.org/10.4018/JOEUC.2018100104 Al-Momani, A. M., Mahmoud, M. A., & Ahmad, M. S. (2019). A Review of Factors Influencing Customer Acceptance of Internet of Things Services. 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L. (2015). Factores determinantes en la adopción de tecnologías de información (TI) en las pymes. VinculaTégica EFAN, 1(1), 806–828. http://eprints.uanl.mx/17205/1/44.pdf Das, S. (2019). 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, 1–29. https://doi.org/10.1080/1097198X.2019.1679588 Fahmideh, M., & Zowghi, D. (2020). An exploration of IoT platform development. Information Systems, 87, 101409. https://doi.org/10.1016/j.is.2019.06.005 Frasquet Deltoro, M., Mollá Descals, A., & Ruiz Molina, M. E. (2012). Factores determinantes y consecuencias de la adopción del comercio electrónico B2C:una comparativa internacional. Estudios Gerenciales, 28(123), 101–120. https://doi.org/10.1016/S0123-5923(12)70207-3 González Arza, E. (2013). 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. http://hdl.handle. net/10609/19284 Grandón, E. E., Ibarra, A. A., Bío-Bío, U., Ramirez-Correa, P., & Alfaro-Pérez, J. (2020). Internet de las Cosas : Factores que influyen su adopción en Pymes chilenas. Kang, S., Rn, H. B., Jung, E., & Hwang, H. (2019). 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, 47(May 2018), 18–23. https://doi.org/10.1016/j.apnr.2019.03.005 Kao, Y.-S., Nawata, K., & Huang, C.-Y. (2019). An Exploration and Confirmation of the Factors Influencing Adoption of IoT-Based Wearable Fitness Trackers. International Journal of Environmental Research and Public Health, 16(18), 3227. https://doi.org/10.3390/ijerph16183227 Kumar, U. D. (2019). Analytics Education. In IIMB Management Review. Elsevier Ltd. https://doi.org/10.1016/j.iimb.2019.10.014 López Cabrera, M. V., Hernandez-Rangel, E., Mejía Mejía, G. P., & Cerano Fuentes, J. L. (2019). Factores que facilitan la adopción de tecnología educativa en escuelas de medicina. Educación Médica, 20, 3–9. https://doi.org/10.1016/j. edumed.2017.07.006 Luzardo Briceño, M., Sandia Saldivia, B. E., Aguilar Jiménez, A. S., Macias Martínez, M., & Herrera Díaz, J. (2017). Factores que influyen en la adopción de las Tecnologías de Información y Comunicación por parte de las universidades. Dimensión Enseñanza-Aprendizaje. Educere, 21(68), 143–153. https://www.redalyc.org/ pdf/356/35652744018.p Malheiros, V., Hohn, E., Pinho, R., Mendonca, M., & Maldonado, J. C. (2007). A Visual Text Mining approach for Systematic Reviews. First International Symposium on Empirical Software Engineering and Measurement (ESEM 2007), 245–254. https://doi.org/10.1109/ESEM.2007.21 Medina-Cárdenas, Y. C., & Rico-Bautista, D. (2016). Strategic alignment under a technology management organizational approach: ITIL & ISO 20000. Revista Tecnura, 20(1), 82–94. https://doi.org/10.14483/22487638.11681 Medina-Cárdenas, Y., & Rico- Bautista, D. (2009). 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, 27, 1–21. 148.215.2.11/redalyc-seam/articulo.oa?id=194215432010 Medina-Cárdenas, Y., & Rico-Bautista, D. (2008). Model of Administration of Services for the Universidad of Pamplona: ITIL. Scientia et Technica XIV, 14(39), 314–319. Medina, Y., Rico, D., & Areniz, Y. (2015). La apropiación del direccionamiento estratégico: una cuestión de competencias organizacionales. Revista Face, 2(1794–9920), 71–80. https://doi.org/10.24054/01204211.v2.n2.2015.1617 Mital, M., Chang, V., Choudhary, P., Papa, A., & Pani, A. K. (2018). Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach. Technological Forecasting and Social Change, 136, 339–346. https://doi.org/10.1016/j.techfore.2017.03.001 Mourtzis, D., Vlachou, E., & Milas, N. (2016). Industrial Big Data as a Result of IoT Adoption in Manufacturing. Procedia CIRP, 55, 290–295. https://doi.org/10.1016/j. procir.2016.07.038 Nasir, U., & Niazi, M. (2011). Cloud computing adoption assessment model (CAAM). Proceedings of the 12th International Conference on Product Focused Software Development and Process Improvement - Profes ’11, 44(0), 34–37. https://doi.org/10.1145/2181101.2181110 Nikbin, D., & Abushakra, A. (2019). Internet of Things Adoption: Empirical Evidence from an Emerging Country. In Communications in Computer and Information Science (pp. 348–352). https://doi.org/10.1007/978-3-030-21451-7_30 Njenga, K., Garg, L., Bhardwaj, A. K., Prakash, V., & Bawa, S. (2019). The cloud computing adoption in higher learning institutions in Kenya: Hindering factors and recommendations for the way forward. Telematics and Informatics, 38(May), 225–246. https://doi.org/10.1016/j.tele.2018.10.007 Palos-Sanchez, P., Reyes-Menendez, A., & Saura, J. R. (2019). Models of adoption of information technology and cloud computing in organizations. Informacion Tecnologica, 30(3), 3–12. https://doi.org/10.4067/S0718-07642019000300003 Pandey, R., & Verma, M. (2020). Current Emerging Trends in IOT : A Survey and Future Prospects. 8(Iii), 339–344. Petersen, K., Feldt, R., Mujtaba, S., & Mattsson, M. (2008). Systematic Mapping Studies in Software Engineering. 12th International Conference on Evaluation and Assessment in Software Engineering, EASE 2008. https://doi.org/10.14236/ewic/ EASE2008.8 Pinheiro, P., Aparicio, M., & Costa, C. (2014). Adoption of cloud computing systems. 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Explicación de la Adopción de Tecnologías de Información en Pequeñas Empresas Usando el Modelo del Usuario Perezoso: un Caso de Estudio. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, e1, 91–104. https://doi.org/10.4304/risti.e1.91-104 Sivathanu, B. (2018). Adoption of internet of things (IOT) based wearables for healthcare of older adults – a behavioural reasoning theory (BRT) approach. Journal of Enabling Technologies, 12(4), 169–185. https://doi.org/10.1108/JET- 12-2017-0048 Surbakti, F. P. S., Wang, W., Indulska, M., & Sadiq, S. (2020). Factors influencing effective use of big data: A research framework. Information & Management, 57(1), 103146. https://doi.org/10.1016/j.im.2019.02.001 Vasudavan, H., Shanmugam, K., & Ahmada, H. A. (2018). User Perceptions in Adopting Cloud Computing in Autonomous Vehicle. Proceedings of the 6th International Conference on Information Technology: IoT and Smart City - ICIT 2018, 151–156. https://doi.org/10.1145/3301551.3301583 Venkatesh, V., Thong, J., & Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead. Journal of the Association for Information Systems, 17(5), 328–376. https://doi.org/10.17705/1jais.00428 |
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Rico-Bautista, DewarMaestre-Góngora, Gina PaolaGuerrero, Cesar D.Medina-Cárdenas, YurleyAreniz-Arévalo, YeseniaSanchez-Velasquez, María CamilaBarrientos-Avendaño, Edwin412021-11-22T14:23:14Z2021-11-22T14:23:14Z2021-03-0116469895https://scielo.pt/pdf/rist/n41/1646-9895-rist-41-63.pdfhttps://hdl.handle.net/20.500.12494/36469Rico-Bautist, D., Maestre-Góngora, G. P., Guerrero, C. D., Medina-Cárdenas, Y., Areniz-Arévalo, Y., Sanchez-Velasquez, M.C. y Barrientos-Avendaño, E. (2021). Universidad inteligente: Factores claves para la adopción de internet de las cosas y big data. Revista Ibérica de Sistemas y Tecnologías de la Información. N. 42. DOI: 10.17013/risti.41.63–79El concepto de universidad inteligente es emergente, fuertemente anclado a las tecnologías inteligentes, y considerado por diferentes autores. Las organizaciones, incluidas las universidades, necesitan incorporar las tecnologías inteligentes para aprovechar las capacidades que proporcionan para transformar sus procesos e impulsarlas hacia nuevos modelos organizativos. Una universidad inteligente se centra en la mejora de su infraestructura tecnológica para alcanzar sus objetivos de calidad educativa. Este trabajo presenta los factores clave para la adopción de dos tecnologías inteligentes: Big Data y el Internet de las Cosas. Esta caracterización e integración permite concluir sobre la necesidad de alineación de la tecnología con los procesos de la organización, exigiendo una mayor interacción con la alta dirección.The concept of a smart university is emerging, strongly anchored to smart technologies, and considered by different authors. Organizations, including universities need to incorporate smart technologies to take advantage of the capabilities they provide to transform their processes and driving them toward new organizational models. A Smart University focuses on improving its technological infrastructure for achieving their quality educational goals. This paper presents the key factors for adopting two smart technologies: Big Data and the Internet of Things. This characterization and integration allow us to conclude about the need for technology alignment with the organization’s processes, demanding more interaction with the high management.https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001087002https://orcid.org/0000-0002-2880-9245dwricob@ufpso.edu.cogina.maestre@campusucc.edu.coycmedinac@ufpso.edu.coyareniza@ufpso.edu.comcsanchezv@ufpso.edu.coebarrientos@ufpso.edu.cohttps://scholar.google.com/citations?user=-EfDLGsAAAAJ&hl=en63-79 p.Universidad Cooperativa de Colombia, Facultad de Ingenierías, Ingeniería de Software, Medellín y EnvigadoIngeniería de sofwareMedellínhttps://scielo.pt/scielo.php?script=sci_issuetoc&pid=1646-989520210001&lng=es&nrm=isoRevista lbérica de Sistemas y Tecnologías de InformaciónAbushakra, A., & Nikbin, D. (2019). Extending the UTAUT2 Model to Understand the Entrepreneur Acceptance and Adopting Internet of Things ( IoT ). 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Journal of the Association for Information Systems, 17(5), 328–376. https://doi.org/10.17705/1jais.00428Big DataCaracterizaciónInternet de las cosasTecnologías inteligentesUniversidad inteligenteBig DataCharacterizationInternet of ThingsSmart technologiesSmart universityUniversidad inteligente: Factores claves para la adopción de internet de las cosas y big dataArtículos Científicoshttp://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAtribución – No comercial – Sin Derivarinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2PublicationORIGINAL2021_universidad_inteligente_licenciadeuso.pdf2021_universidad_inteligente_licenciadeuso.pdfLicencia de usoapplication/pdf213878https://repository.ucc.edu.co/bitstreams/512afb94-d950-41d4-ad6c-e1926239c218/downloadfe96e4b75d5a0fc105e8dad20593d388MD52LICENSElicense.txtlicense.txttext/plain; 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