Smart University: Key Factors for an Artificial Intelligence Adoption Model

Dewar Rico-Bautista, Yurley Medina-Cardenas, Luis Anderson Coronel-Rojas, Fabian Cuesta-Quintero, Gina Maestre-Gongora, Cesar D. Guerrero

Research output: Book / Book Chapter / ReportResearch Bookspeer-review

7 Scopus citations


The emergence of new technologies has brought many advantages to organizations and other sectors, they manage to streamline manual processes and are of vital importance in decision-making. Today many entities decide to make use of emerging technologies that facilitate the work and perform it more effectively, however, the adoption rate is not as high as expected and that is due to a widespread fear due to lack of knowledge of information management and intelligent technologies. It is necessary to analyze the levels and the relationship with the processes where they are involved, that is, how the IT technologies are used and each factor within the university can enrich the university community. The purpose of this article is to present an artificial intelligence adoption model proposal for universities. The IT organizational unit of the universities is in charge of adapting all these “Smart” technologies to the university environment in each of its teachings, research, management, or government facets. The complexity is great, we are talking about very diverse environments with very different needs.

Original languageEnglish
Title of host publicationAdvances and Applications in Computer Science, Electronics and Industrial Engineering - Proceedings of CSEI 2020
EditorsMarcelo V. García, Félix Fernández-Peña, Carlos Gordón-Gallegos
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages14
ISBN (Print)9789813345645
StatePublished - 2021
EventInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2020 - Ambato, Ecuador
Duration: 26 Oct 202030 Oct 2020

Publication series

NameAdvances in Intelligent Systems and Computing
Volume1307 AISC
ISSN (Print)2194-5357
ISSN (Electronic)2194-5365


ConferenceInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2020


  • Adopting smart technology
  • Artificial intelligence
  • Characterization
  • Process
  • Smart university


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