TY - JOUR
T1 - Smart university:IoT adoption model
AU - Rico-Bautista, Dewar
AU - Maestre-Gongora, Gina
AU - Guerrero, Cesar D.
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - Higher education organizations see in new technologies an opportunity to improve the quality of their academic and administrative processes. However, the existence and application of new technologies in this type of institutions does not imply that it really has the expected impact on their processes, so many adoption initiatives fail generating losses and discouragement towards change. This happens mainly because more work is done on technology than on the realities of the institutions. One way to prevent this type of problem and redirect efforts is to align the adoption process itself. As artificial intelligence, cloud computing, IoT (Internet of Things) and Big Data technologies become stronger, it is necessary to have tools at hand that have the capacity to measure the level of adoption by institutions. The objective of measuring adoption by the processes and realities of higher education institutions, with a focus on their users. Many models have been proposed to understand why users accept or use technologies. Among those that have emerged for the study of technology adoption are TAM, UTAUT, UTAUT2, DOI, TPB, TRA, among others. This characterization allows us to conclude about the need for alignment and integration of technology with the organization's processes, calling for greater interaction with senior management.
AB - Higher education organizations see in new technologies an opportunity to improve the quality of their academic and administrative processes. However, the existence and application of new technologies in this type of institutions does not imply that it really has the expected impact on their processes, so many adoption initiatives fail generating losses and discouragement towards change. This happens mainly because more work is done on technology than on the realities of the institutions. One way to prevent this type of problem and redirect efforts is to align the adoption process itself. As artificial intelligence, cloud computing, IoT (Internet of Things) and Big Data technologies become stronger, it is necessary to have tools at hand that have the capacity to measure the level of adoption by institutions. The objective of measuring adoption by the processes and realities of higher education institutions, with a focus on their users. Many models have been proposed to understand why users accept or use technologies. Among those that have emerged for the study of technology adoption are TAM, UTAUT, UTAUT2, DOI, TPB, TRA, among others. This characterization allows us to conclude about the need for alignment and integration of technology with the organization's processes, calling for greater interaction with senior management.
KW - Adopting smart technology
KW - Characterization
KW - IoT
KW - Process
KW - Smart university
UR - http://www.scopus.com/inward/record.url?scp=85095680527&partnerID=8YFLogxK
U2 - 10.1109/WorldS450073.2020.9210369
DO - 10.1109/WorldS450073.2020.9210369
M3 - Artículo de la conferencia
AN - SCOPUS:85095680527
SP - 821
EP - 826
JO - 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)
JF - 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)
T2 - 2020 World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2020
Y2 - 27 July 2020 through 28 July 2020
ER -