[ai]deation: GenAI-Based Collaborative Service Innovation

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dc.contributor.authorNoack, Carl Alexander
dc.contributor.authorMackensen, Jan
dc.contributor.authorGuhl, Jakob
dc.contributor.authorZowalla, Richard
dc.contributor.authorBienzeisler, Bernd
dc.contributor.authorNeuhüttler, Jens
dc.date.accessioned2024-12-26T21:05:31Z
dc.date.available2024-12-26T21:05:31Z
dc.date.issued2025-01-07
dc.description.abstractMany new services fail within the first year as businesses often launch services without a deep understanding of stakeholder needs. Recent advancements in generative AI, particularly Large Language Models (LLMs), have enabled the automation of creative tasks. In this work, we focus on the ideation phase of service development, aiming to integrate stakeholder perspectives early in the service development process through a novel human-AI collaborative role-based ideation method. Based on this method, we developed a software tool and an evaluation concept to support this approach. By tailoring the LLM’s roles to meet specific stakeholder needs and incorporating diverse perspectives from the start, we encourage a more effective service development process, reduce the risk of poorly designed services, and facilitate coordination and understanding among stakeholders.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.160
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.otherf5c5be8a-3c39-46ee-bd61-38c755045b80
dc.identifier.urihttps://hdl.handle.net/10125/108999
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.subjectDigital Service Innovation and Design
dc.subjectartificial intelligence, generative ai, human-ai collaboration, large language model, service innovation
dc.title[ai]deation: GenAI-Based Collaborative Service Innovation
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage1332

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