Universidad inteligente: Modelo de adopción de Big Data

Translated title of the contribution: Smart University: Big Data adoption model

Dewar Rico-Bautista, Yurley Medina-Cardenas, Yesenia Areniz-Arevalo, Edwin Barrientos-Avendano, Gina Maestre-Gongora, Cesar D. Guerrero

Research output: Articles / NotesConference articlepeer-review

13 Scopus citations

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.

Translated title of the contributionSmart University: Big Data adoption model
Original languageSpanish
Pages (from-to)52-60
Number of pages9
Journal2020 9th International Conference On Software Process Improvement (CIMPS)
DOIs
StatePublished - 21 Oct 2020
Externally publishedYes
EventApplications in Software Engineering - 9th International Conference on Software Process Improvement, CIMPS 2020 - Mazatlan, Sinaloa, Mexico
Duration: 21 Oct 202023 Oct 2020

Fingerprint

Dive into the research topics of 'Smart University: Big Data adoption model'. Together they form a unique fingerprint.

Cite this