Smart University: Big Data adoption model

被引:5
作者
Rico-Bautista, Dewar [1 ]
Medina-Cardenas, Yurley [1 ]
Areniz-Arevalo, Yesenia [1 ]
Barrientos-Avendano, Edwin [1 ]
Maestre-Gongora, Gina [1 ]
Guerrero, Cesar D. [1 ]
机构
[1] Univ Francisco Paula Santander, Dept Sistemas & Informat, Ocana, Colombia
来源
2020 9TH INTERNATIONAL CONFERENCE ON SOFTWARE PROCESS IMPROVEMENT (CIMPS) | 2020年
关键词
Adopting smart technology; Big Data; Characterization; Process; Smart university; CLOUD COMPUTING ADOPTION; HEALTH-CARE; INTERNET; THINGS; ACCEPTANCE; EDUCATION;
D O I
10.1109/CIMPS52057.2020.9390151
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
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.
引用
收藏
页码:52 / 60
页数:9
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