Leveraging Generative AI and ChatGPT in SMEs: A Grounded Model

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dc.contributor.authorWalke, Fabian
dc.contributor.authorKlopfers, Lee
dc.contributor.authorWinkler, Till J.
dc.date.accessioned2024-12-26T21:09:13Z
dc.date.available2024-12-26T21:09:13Z
dc.date.issued2025-01-07
dc.description.abstractChatGPT and other generative artificial intelligence have garnered substantial media attention for their ability to generate text and code, presenting great potential for both personal and professional use. Less research has been conducted in the field of generative AI usage in small and medium enterprises, especially across different enterprise departments. This study examines with a grounded theory approach the characteristics of generative AI usage within management, marketing, and development departments of a small and medium enterprise. Ten employees from this enterprise were interviewed. Three causal and intervening conditions, as well as strategies were identified, to leverage the use of generative AI. The results indicate a productivity increase in all departments, especially in marketing. Improvements in learning processes were noted in development, while management saw shorter communication pathways. Across all departments, significant cost and time savings were observed, along with risks, limitations, and future potential.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.658
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other565b7bde-8696-44c7-9339-7562af919fba
dc.identifier.urihttps://hdl.handle.net/10125/109506
dc.relation.ispartofProceedings of the 58th 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, Organizing, and Management
dc.subjectai strategy, artificial intelligence, genai usage, large language model, productivity
dc.titleLeveraging Generative AI and ChatGPT in SMEs: A Grounded Model
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage5474

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