Elshan, EdonaEngel, ChristianEbel, Philipp2020-12-242020-12-242021-01-05978-0-9981331-4-0http://hdl.handle.net/10125/71291The 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.10 pagesEnglishAttribution-NonCommercial-NoDerivatives 4.0 InternationalAI, Organizing, and Managementartificial intelligencehybrid intelligencemusic industry10.24251/HICSS.2021.671