Smart University: Big Data adoption model

Rico-Bautista, Dewar; Medina-Cardenas, Yurley; Areniz-Arevalo, Yesenia; Barrientos-Avendano, Edwin; Maestre-Gongora, Gina; Guerrero, Cesar D.; Mata, MAM; Miranda, JM; Carillo, AYQ; Delgado, JGS; Cota, MP

Abstract

New technologies foster a variety of smart solutions in university settings to improve the quality of life and performance for both teachers and students. Research on information governance shows the importance of the alignment between information and communication technologies (ICTs) and strategic objectives. From this perspective, the adoption of smart technologies is the result of strategic management deliberations that address the application, the risk, the use of resources and the feasibility of technology. The main challenge is to predict how this technology is adopted through overcoming the barriers that affect, for example, your perception of usefulness or your intention to use it. This has led to the concept of an Intelligent University where Big Data has proven to be very important. This article reviews technology adoption models and proposes a specific model for Big Data based on three factors: Individual perception; security and risk; and organizational support.

Más información

Título según WOS: ID WOS:000669649800006 Not found in local WOS DB
Título de la Revista: 2020 9TH INTERNATIONAL CONFERENCE ON SOFTWARE PROCESS IMPROVEMENT (CIMPS)
Editorial: IEEE
Fecha de publicación: 2020
Página de inicio: 52
Página final: 60
DOI:

10.1109/CIMPS52057.2020.9390151

Notas: ISI