Opening the Black Box of Music Royalties with the Help of Hybrid Intelligence

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dc.contributor.authorElshan, Edona
dc.contributor.authorEngel, Christian
dc.contributor.authorEbel, Philipp
dc.date.accessioned2020-12-24T20:09:14Z
dc.date.available2020-12-24T20:09:14Z
dc.date.issued2021-01-05
dc.description.abstractThe ever-increasing complexity of the music industry and the intensified resentment of artists towards collecting societies call for a transformation and a change of behavior within the music ecosystem. This article introduces a hybrid intelligence system, that ameliorates the current situation by combining the intelligence of humans and machines. This study proposes design requirements for hybrid intelligence systems in the music industry. Using a design science research approach, we identify design requirements both inductively from expert interviews and deductively from theory and present a first prototypical instantiation of a respective hybrid intelligence system. Overall, this shall enrich the body of knowledge of hybrid intelligence research by transferring its concepts into a new context. Furthermore, the identified design requirements shall serve as a foundation for researchers and practitioners to further explore and design hybrid intelligence in the music industry, and beyond.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.671
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/71291
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th 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
dc.subjecthybrid intelligence
dc.subjectmusic industry
dc.titleOpening the Black Box of Music Royalties with the Help of Hybrid Intelligence
prism.startingpage5525

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