Please use this identifier to cite or link to this item: https://rfos.fon.bg.ac.rs/handle/123456789/2887
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dc.creatorRodić, Branka-
dc.creatorDespotović-Zrakić, Marijana-
dc.creatorIvanović, Marina-
dc.date.accessioned2024-12-17T08:38:40Z-
dc.date.available2024-12-17T08:38:40Z-
dc.date.issued2024-06-
dc.identifier.isbn978-86-7680-464-1-
dc.identifier.urihttps://symorg.fon.bg.ac.rs/wp-content/uploads/2024/06/Zbornik-SymOrg-2024.pdf-
dc.identifier.urihttps://rfos.fon.bg.ac.rs/handle/123456789/2887-
dc.description.abstractSignificant research has showcased the potential of artificial intelligence in healthcare and expanding its role in nursing education. For the technology to be implemented and sustainable, it needs to be used and willingly accepted. Prospective healthcare workers form their attitudes about certain technologies during schooling. The main goal of this paper is to examine the antecedents of the adoption of AI technology among prospective healthcare workers. When presenting technology to students, it is assumed that AI-based systems or applications have been tested and have security certifications. An integrated adoption model utilizes core dimensions of the UTAUT and TAM extended with trust and perceived substitution crisis. The model is planned to be evaluated. The results of this research will give insight into the readiness of students to accept AI technology and help teachers present emerging technologies in the right way to prospective healthcare workers through modern curricula.sr
dc.language.isoensr
dc.publisherUniversity of Belgrade – Faculty of Organizational Sciencessr
dc.rightsopenAccesssr
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.sourceUnlocking the Hidden Potentials of Organization Through Merging of Humans and Digitals, 19th International Symposium SymOrgsr
dc.subjectArtificial Intelligencesr
dc.subjectTechnology Acceptance Modelsr
dc.subjectHealthcaresr
dc.subjectNursing Studentssr
dc.subjectSmart Healthcaresr
dc.titleExamining The Antecedents Of The Adoption Of Ai Technology Among Prospective Healthcare Workerssr
dc.typeconferenceObjectsr
dc.rights.licenseBYsr
dc.citation.epage462-
dc.citation.spage457-
dc.type.versionpublishedVersionsr
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeconferenceObject-
item.languageiso639-1en-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
Appears in Collections:Radovi istraživača / Researchers’ publications
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This item is licensed under a Creative Commons License Creative Commons