Responsible Management for AI-augmented Knowledge: A Knowledge Ecosystem Approach

dc.contributor.authorWang, Belinda
dc.contributor.authorTan, Barney
dc.contributor.authorBoell, Sebastian
dc.contributor.authorYu, Jie
dc.date.accessioned2024-12-26T21:09:16Z
dc.date.available2024-12-26T21:09:16Z
dc.date.issued2025-01-07
dc.description.abstractThis study adopts a knowledge ecosystem approach to explore how organizations manage AI-augmented knowledge responsibly. Drawing from a case study on a large AI solution provider for manufacturing sector, our study reveals a dynamic knowledge management process that shapes and was shaped by the interdependent interactions among ecosystem actors. The preliminary findings in this study contribute to responsible AI and knowledge management literature, enhancing the understanding on actors’ role to responsible knowledge management.
dc.format.extent10
dc.identifier.doi10.24251/HICSS.2025.663
dc.identifier.isbn978-0-9981331-8-8
dc.identifier.other7b1fceec-709e-473b-8cdd-c5c5346aebcf
dc.identifier.urihttps://hdl.handle.net/10125/109511
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.subjectartificial intelligence, knowledge ecosystem, knowledge management, responsible ai
dc.titleResponsible Management for AI-augmented Knowledge: A Knowledge Ecosystem Approach
dc.typeConference Paper
dc.type.dcmiText
prism.startingpage5524

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