The Rise of Generative AI in Low Code Development Platforms – An Analysis and Future Directions.

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dc.contributor.authorBruhin, Olivia
dc.contributor.authorDickhaut, Ernestine
dc.contributor.authorElshan, Edona
dc.contributor.authorLi, Mahei
dc.date.accessioned2023-12-26T18:55:36Z
dc.date.available2023-12-26T18:55:36Z
dc.date.issued2024-01-03
dc.identifier.doihttps://doi.org/10.24251/HICSS.2024.932
dc.identifier.isbn978-0-9981331-7-1
dc.identifier.otherb0d257ad-8972-47f6-96b5-1273b85f146b
dc.identifier.urihttps://hdl.handle.net/10125/107321
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.subjectSoftware Technology and Software Development
dc.subjectgenerative ai
dc.subjectlow code development
dc.subjectresearch directions
dc.titleThe Rise of Generative AI in Low Code Development Platforms – An Analysis and Future Directions.
dc.typeConference Paper
dc.type.dcmiText
dcterms.abstractThis study investigates the relationship between Generative Artificial Intelligence (GAI) and Low Code Development Platforms (LCDPs), providing preliminary insights into GAI's transformative potential in this context. It is based on expert interviews and provides insight into the changing landscape of LCDPs influenced by GAI. The findings highlight the promising benefits of GAI in LCDPs, such as increased efficiency and decreased errors, while also emphasizing the importance of human oversight and collaboration. The findings also highlight the importance of interpersonal skills in IT, even in an increasingly automated environment. While the economic efficiency and broader implications of GAI are still being investigated, the study lays the groundwork for future research in this rapidly evolving domain.
dcterms.extent10 pages
prism.startingpage7780

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