Opening the Black Box of Music Royalties with the Help of Hybrid Intelligence Elshan, Edona Engel, Christian Ebel, Philipp 2020-12-24T20:09:14Z 2020-12-24T20:09:14Z 2021-01-05
dc.description.abstract The 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.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2021.671
dc.identifier.isbn 978-0-9981331-4-0
dc.language.iso English
dc.relation.ispartof Proceedings of the 54th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject AI, Organizing, and Management
dc.subject artificial intelligence
dc.subject hybrid intelligence
dc.subject music industry
dc.title Opening the Black Box of Music Royalties with the Help of Hybrid Intelligence
prism.startingpage 5525
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
589.38 KB
Adobe Portable Document Format