dc.creatorChancusing, Juan Carlos
dc.creatorBayona-Oré, Sussy
dc.date.accessioned2022-03-04T16:29:36Z
dc.date.accessioned2023-05-30T23:13:42Z
dc.date.available2022-03-04T16:29:36Z
dc.date.available2023-05-30T23:13:42Z
dc.date.created2022-03-04T16:29:36Z
dc.date.issued2019-12-26
dc.identifierChancusing, J. C., & Bayona-Oré, S. (2019, June). Information and Communication Technologies Acceptance Models in Universities. In 2019 IEEE/ACIS 18th International Conference on Computer and Information Science (ICIS) (pp. 62-66). IEEE.
dc.identifier978-1-7281-0801-8
dc.identifierhttps://hdl.handle.net/20.500.13067/1732
dc.identifier2019 IEEE/ACIS 18th International Conference on Computer and Information Science (ICIS)
dc.identifierhttps://doi.org/10.1109/ICIS46139.2019.8940353
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6473844
dc.description.abstractTAM (Technology Acceptance Model) is used in Computational Science research to collect user feedback for Information Systems (IS). Carrying out this research it was found that the TAM is one of the most significant methodological individualist approaches related to adoption of Information and Communication Technologies (ICT). Different modifications have been incorporated into this model. A systematic review method was used in order to identify studies related to intention to use a technology in universities. 61 primary studies were selected from the different scientific databases. The results show that TAM has been applied in studies related to adoption of e-learning, web 2.0 and ICT. Although TAM has proven to be a coherent model, it still has limitations that can be perceived by other intellectuals as opportunities for future research.
dc.languageeng
dc.publisherInstitute of Electrical and Electronics Engineers
dc.publisherPE
dc.relationhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85077997326&doi=10.1109%2fICIS46139.2019.8940353&partnerID=40
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceAUTONOMA
dc.source62
dc.source66
dc.subjectSystematics
dc.subjectComputational modeling
dc.subjectElectronic learning
dc.subjectInformation and communication technology
dc.subjectWeb 2.0
dc.subjectAnalytical models
dc.titleInformation and Communication Technologies Acceptance Models in Universities
dc.typeinfo:eu-repo/semantics/article


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