Item Type |
Conference or Workshop Item
(Paper)
|
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. |
Authors |
Elshan, Edona; Engel, Christian & Ebel, Philipp |
Research Team |
IWI6 |
Journal or Publication Title |
Hawaii International Conference on System Sciences (HICSS) |
Language |
English |
Keywords |
hybrind intelligence, music industry, blackbox, artificial intelligence |
Subjects |
information management |
HSG Classification |
contribution to scientific community |
Date |
January 2021 |
Place of Publication |
Kauai, USA |
Event Title |
Hawaii International Conference on System Sciences (HICSS) |
Event Location |
Kauai, USA |
Event Dates |
5-8 Jan 2021 |
Publisher DOI |
https://doi.org/10.24251/HICSS.2021.671 |
Depositing User |
Dr. Mahei Li
|
Date Deposited |
22 May 2021 11:59 |
Last Modified |
20 Jul 2022 17:45 |
URI: |
https://www.alexandria.unisg.ch/publications/263195 |