The Effect of IS Engagement on Generative AI Adoption

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dc.contributor.authorDe Vreede, Triparna
dc.contributor.authorSingh, Vivek Kumar
dc.contributor.authorDe Vreede, Gert-Jan
dc.contributor.authorSpector, Paul
dc.date.accessioned2023-12-26T18:35:55Z
dc.date.available2023-12-26T18:35:55Z
dc.date.issued2024-01-03
dc.identifier.doi10.24251/HICSS.2023.021
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.other75ff1de7-9a8f-4a01-976f-2931adf094c6
dc.identifier.urihttps://hdl.handle.net/10125/106396
dc.language.isoeng
dc.relation.ispartofProceedings of the 57th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAI and the Future of Work
dc.subjectai adoption
dc.subjectai familiarity. social cognitive theory
dc.subjectgenerative ai
dc.subjectis engagement
dc.titleThe Effect of IS Engagement on Generative AI Adoption
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractArtificial Intelligence (AI) technology is developing at an unprecedented rate. For organizations to reap the benefits of AI, their workforce need to embrace them and adopt them into their work practices. Using Social Cognitive Theory as a theoretical lens, we examine how users’ engagement with AI technologies influences their intention to use them. To this end, we adopt a multi-dimensional perspective on IS engagement and also explore how AI familiarity relates to users’ engagement. We find support for the positive association between AI familiarity and IS engagement as well as between IS engagement and Intention to use. Implications are discussed.
dcterms.extent9 pages
prism.startingpage168

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