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: Articles / NotesConference articlepeer-review

11 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
Pages (from-to)153-166
Number of pages14
JournalAdvances in Intelligent Systems and Computing
StatePublished - 2021
EventInternational Conference on Computer Science, Electronics and Industrial Engineering, CSEI 2020 - Ambato, Ecuador
Duration: 26 Oct 202030 Oct 2020


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


Dive into the research topics of 'Smart University: Key Factors for an Artificial Intelligence Adoption Model'. Together they form a unique fingerprint.

Cite this