Smart University:IoT adoption model

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, MT (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, (TAUT, UTAUT2, DOI, TYLI, 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.