Universidad inteligente: una visión de la adopción de la tecnología

Palabras clave: Tecnologías digitales, Tecnologías inteligentes, Universidad Inteligente, Adopción tecnológica

Resumen

Universidad inteligente es un concepto emergente, fuertemente anclado a las tecnologías inteligentes, y considerado por diferentes autores en la literatura. 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 lograr sus objetivos educativos de calidad. Este trabajo presenta la integración de los factores clave para la adopción de cuatro tecnologías inteligentes: Computación en la nube, Big Data, Inteligencia Artificial, e Internet de las Cosas. Esta caracterización e integración nos permite concluir sobre la necesidad de alineación de las tecnologías digitales con los procesos de la organización, exigiendo una mayor interacción con la alta dirección de la empresa.

Referencias

Abushakra, A., & Nikbin, D. (2019). Knowledge Management in Organizations (L. Uden, I.-H. Ting, & J. M. Corchado (eds.); Vol. 1027). Springer International Publishing. https://doi.org/10.1007/978-3-030-21451-7

Akhrif, O., El bouzekri el idrissi, Y., & Hmina, N. (2019). Enabling Smart Collaboration with Smart University Services. In A. Emrouznejad (Ed.), Proceedings of the 3rd International Conference on Computer Science and Application Engineering - CSAE 2019 (pp. 1–6). ACM Press. 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. International Journal of Information Systems in the Service Sector, 11(1), 54–67. https://doi.org/10.4018/IJISSS.2019010104

Al-Ruithe, M., Benkhelifa, E., & Hameed, K. (2017). Current State of Cloud Computing Adoption – An Empirical Study in Major Public Sector Organizations of Saudi Arabia (KSA). Procedia Computer Science, 110, 378–385. https://doi.org/10.1016/j.procs.2017.06.080

Allam, Z., & Dhunny, Z. A. (2019). On big data, artificial intelligence and smart cities. Cities, 89(January), 80–91. https://doi.org/10.1016/j.cities.2019.01.032

Arpaci, I. (2017). Antecedents and consequences of cloud computing adoption in education to achieve knowledge management. Computers in Human Behavior, 70, 382–390. https://doi.org/10.1016/j.chb.2017.01.024

Barrientos-Avendaño, E., & Areniz-Arévalo, Y. (2019). Universidad inteligente: Oportunidades y desafíos desde la Industria 4.0. Revista Ingenio UFPSO, 16(1). https://doi.org/10.22463/2011642X.2343

Barrientos-Avendaño, E., Areniz-Arevalo, Y., Coronel-Rojas, L. A., Cuesta-Quintero, F., & Rico-Bautista, D. (2020). Modelo de incursión en la industria 4.0 aplicado a la compañía alimenticia tu pan gourmet SAS: Estrategia para el renacer en la pandemia ocasionada por COVID-19 (SARS-CoV-2). RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2020(E34), 436–449.

Barrientos-Avendaño, E., Coronel-Rojas, L. A., Cuesta-Quintero, F., & Rico-Bautista, D. (2020). Sistema de administración de ventas tienda a tienda: Aplicando técnicas de inteligencia artificial. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2020(E27), 677–689.

Brous, P., Janssen, M., & Herder, P. (2020). 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, 51(May), 101952. https://doi.org/10.1016/j.ijinfomgt.2019.05.008

Cecil, J. (2018). A Collaborative Manufacturing Approach supporting adoption of IoT Principles in Micro Devices Assembly. Procedia Manufacturing, 26, 1265–1277. https://doi.org/10.1016/j.promfg.2018.07.141

Cerdeira Ferreira, F. H., & Mendes de Araujo, R. (2018). Campus Inteligentes: Conceitos, aplicações, tecnologias e desafios. Relatórios Técnicos Do DIA/UNIRIO, 11(1), 4–19. http://www.seer.unirio.br/index.php/monografiasppgi/article/view/7147

Chassignol, M., Khoroshavin, A., Klimova, A., & Bilyatdinova, A. (2018). Artificial Intelligence trends in education: a narrative overview. Procedia Computer Science, 136, 16–24. https://doi.org/10.1016/j.procs.2018.08.233

Choix, R. A., Perez, R. R., & Parra, M. E. 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, 22(4), 280–308. https://doi.org/10.1080/1097198X.2019.1679588

El-Gazzar, R., Hustad, E., & Olsen, D. H. (2016). Understanding cloud computing adoption issues: A Delphi study approach. Journal of Systems and Software, 118, 64–84. https://doi.org/10.1016/j.jss.2016.04.061

Frasquet Deltoro, M., Mollá Descals, A., & Eugenia Ruiz Molina, M. (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

Goralski, M. A., & Tan, T. K. (2020). Artificial intelligence and sustainable development. The International Journal of Management Education, 18(1), 100330. https://doi.org/10.1016/j.ijme.2019.100330

Grandon, E. E., Ibarra, A. A., Guzman, S. A., Ramirez-Correa, P., & Alfaro-Perez, J. (2018). Internet of Things: Factors that influence its adoption among Chilean SMEs. 2018 13th Iberian Conference on Information Systems and Technologies (CISTI), 1–6. https://doi.org/10.23919/CISTI.2018.8399183

Guerrero, C. D., & Rico-Bautista, D. (2020). Centro de Excelencia y Apropiación en Internet de las Cosas: Una apuesta a la competitividad desde alianzas entre gobierno, academia y sector productivo. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2020(E28), 615–628.

Hamilton, R. H., & Sodeman, W. A. (2020). The questions we ask: Opportunities and challenges for using big data analytics to strategically manage human capital resources. Business Horizons, 63(1), 85–95. https://doi.org/10.1016/j.bushor.2019.10.001

Hao, W., Huang, Z., & Shi, L. (2018). Research on college students’ ideological and political education and daily performance evaluation model based on big data. Journal of Advanced Oxidation Technologies, 21(2).

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

Kim, Y. H., & Ahn, J. (2016). A Study on the Application of Big Data to the Korean College Education System. Procedia Computer Science, 91(Itqm 2016), 855–861. https://doi.org/10.1016/j.procs.2016.07.096

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.

Maestre Góngora, G. P. (2015). Revisión de literatura sobre ciudades inteligentes: una perspectiva centrada en las TIC. INGENIARE, 19, 137. https://doi.org/10.18041/1909-2458/ingeniare.19.531

Martín García, A. V., García del Dujo, Á., & Muñoz Rodríguez, J. M. (2014). Factores determinantes de adopción de blended learning en educación superior. Adaptación del modelo UTAUT. Educación XX1, 17(2). https://doi.org/10.5944/educxx1.17.2.11489

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. (2008). Model of Administration of Services for the Universidad of Pamplona: ITIL. Scientia Et Technica Scientia et Technica Año XIV, 14(39), 314–319.

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.

Medina Cárdenas, Y. C., Areniz Arévalo, Y., & Rico Bautista, D. (2016). Modelo estratégico para la gestión tecnológica en la organización: plan táctico de la calidad (ITIL & ISO 20000). In Fondo editorial ITM (Vol. 1). Instituto Tecnológico Metropolitano. https://doi.org/10.22430/9789585414006

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

Nikolopoulos, F., & Likothanassis, S. (2017). Using UTAUT2 for cloud computing technology acceptance modeling. Proceedings of the Second International Conference on Internet of Things, Data and Cloud Computing, March, 1–6. https://doi.org/10.1145/3018896.3025153

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). Modelos de Adopción de Tecnologías de la Información y Cloud Computing en las Organizaciones. Información Tecnológica, 30(3), 3–12. https://doi.org/10.4067/S0718-07642019000300003

Parra Valencia, J. A., Guerrero, C. D., & Rico Bautista, D. (2017). IOT: una aproximación desde ciudad inteligente a universidad inteligente. Revista Ingenio, 13(1), 9–20. https://doi.org/10.22463/2011642X.2128

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. Proceedings of the International Conference on Information Systems and Design of Communication - ISDOC ’14, 127–131. https://doi.org/10.1145/2618168.2618188

Pornphol, P., & Tongkeo, T. (2018). Transformation from a traditional university into a smart university. Proceedings of the 6th International Conference on Information and Education Technology, 144–148. https://doi.org/10.1145/3178158.3178167

Priyadarshinee, P., Raut, R. D., Jha, M. K., & Gardas, B. B. (2017). Understanding and predicting the determinants of cloud computing adoption: A two staged hybrid SEM - Neural networks approach. Computers in Human Behavior, 76, 341–362. https://doi.org/10.1016/j.chb.2017.07.027

Ramos, T. G., Machado, J. C. F., & Cordeiro, B. P. V. (2015). Primary Education Evaluation in Brazil Using Big Data and Cluster Analysis. Procedia Computer Science, 55(Itqm), 1031–1039. https://doi.org/10.1016/j.procs.2015.07.061

Raut, R. D., Priyadarshinee, P., Gardas, B. B., & Jha, M. K. (2018). Analyzing the factors influencing cloud computing adoption using three stage hybrid SEM-ANN-ISM (SEANIS) approach. Technological Forecasting and Social Change, 134(July 2017), 98–123. https://doi.org/10.1016/j.techfore.2018.05.020

Revelo Sánchez, O., Collazos Ordoñez, C. A., & Jiménez Toledo, J. A. (2018). La gamificación como estrategia didáctica para la enseñanza/aprendizaje de la programación: un mapeo sistemático de literatura. Lámpsakos, 1(19), 31–46. https://doi.org/10.21501/21454086.2347

Rico-Bautista, D. (2019). Conceptual framework for smart university. Journal of Physics: Conference Series, 1409, 012009. https://doi.org/10.1088/1742-6596/1409/1/012009

Rico-Bautista, D., Collazos, C. A., Guerrero, C. D., Maestre-Gongora, G., & Medina-Cárdenas, Y. (2021). Latin American Smart University: Key Factors for a User-Centered Smart Technology Adoption Model. In Sustainable Intelligent Systems (pp. 161–173). https://doi.org/10.1007/978-981-33-4901-8_10

Rico-Bautista, D., Maestre-Gongora, G., & Guerrero, C. D. (2020). Smart University:IoT adoption model. 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), 821–826. https://doi.org/10.1109/WorldS450073.2020.9210369

Rico-Bautista, D., Maestre-Góngora, G. P., & Guerrero, C. D. (2020). 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, 2020(E27), 484–501.

Rico-Bautista, D., Medina-Cardenas, Y., Areniz-Arevalo, Y., Barrientos-Avendano, E., Maestre-Gongora, G., & Guerrero, C. D. (2020). Smart University: Big Data adoption model. 2020 9th International Conference On Software Process Improvement (CIMPS), 52–60. https://doi.org/10.1109/CIMPS52057.2020.9390151

Rico-Bautista, D., Medina-Cárdenas, Y., Coronel-Rojas, L. A., Cuesta-Quintero, F., Barrientos-Avendaño, E., García León, R. A., & Maestre-Góngora, G. P. (2020). Universidad inteligente: Mapa estratégico desde la adopción de tecnología. RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao, 2020(E28), 711–724. http://www.risti.xyz/issues/ristie28.pdf

Rico-Bautista, D., Medina-Cardenas, Y., Coronel-Rojas, L. A., Cuesta-Quintero, F., Maestre-Gongora, G., & Guerrero, C. D. (2021). Smart University: Key Factors for an Artificial Intelligence Adoption Model. In M. V García, F. Fernández-Peña, & C. Gordón-Gallegos (Eds.), Advances and Applications in Computer Science, Electronics and Industrial Engineering (Vol. 1307, pp. 153–166). Springer Singapore. https://doi.org/10.1007/978-981-33-4565-2_10

Rico-Bautista, D., Medina-Cárdenas, Y., & Guerrero, C. D. (2019). Smart University: A Review from the Educational and Technological View of Internet of Things. In M. Paredes, C. Ferras, & A. Rocha (Eds.), International Conference on Information Technology and Systems, ICITS 2019 (Vol. 918, pp. 427–440). Springer Verlag. https://doi.org/10.1007/978-3-030-11890-7_42

Sabi, H. M., Uzoka, F. E., Langmia, K., & Njeh, F. N. (2016). Conceptualizing a model for adoption of cloud computing in education. International Journal of Information Management, 36(2), 183–191. https://doi.org/10.1016/j.ijinfomgt.2015.11.010

Sánchez-Torres, B., Rodríguez-Rodríguez, J. A., Rico-Bautista, D., & Guerrero, C. D. (2018). Smart Campus: Trends in cybersecurity and future development. Revista Facultad de Ingeniería, 27(47), 93–101. https://doi.org/10.19053/01211129.v27.n47.2018.7807

Sayed, A. El, Suad, Š., Fuad, Ć., & Novali, A. (2020). New Technologies, Development and Application II. In I. Karabegović (Ed.), Springer Nature Switzerland (Vol. 76). Springer International Publishing. https://doi.org/10.1007/978-3-030-18072-0

Shaikh, H., Khan, M. S., Mahar, Z. A., Anwar, M., Raza, A., & Shah, A. (2019). 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), 1–5. https://doi.org/10.1109/CISCT.2019.8777431

Shorfuzzaman, M., Hossain, M. S., Nazir, A., Muhammad, G., & Alamri, A. (2019). Harnessing the power of big data analytics in the cloud to support learning analytics in mobile learning environment. Computers in Human Behavior, 92, 578–588. https://doi.org/10.1016/j.chb.2018.07.002

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

Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039

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

Wu, J., Li, H., Liu, L., & Zheng, H. (2017). Adoption of big data and analytics in mobile healthcare market: An economic perspective. Electronic Commerce Research and Applications, 22, 24–41. https://doi.org/10.1016/j.elerap.2017.02.002

Xu, H. (2020). Application of Cloud Computing Information Processing System in Network Education. In J. H. Abawajy, K. Choo, R. Islam, Z. Xu, & M. Atiquzzaman (Eds.), International Conference on Applications and Techniques in Cyber Intelligence, ATCI 2019 (Vol. 1017, pp. 1809–1815). Springer Verlag. https://doi.org/10.1007/978-3-030-25128-4_238

Cómo citar
Rico-Bautista, D., Guerrero, C. D., Collazos, C. A., Maestre-Góngora, G., Hurtado-Alegría, J. A., Medina-Cárdenas, Y., & Swaminathan, J. (2021). Universidad inteligente: una visión de la adopción de la tecnología. Revista Colombiana De Computación, 22(1), 44-55. https://doi.org/10.29375/25392115.4153

Descargas

La descarga de datos todavía no está disponible.
Publicado
2021-06-01
Sección
Artículo de investigación científica y tecnológica