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.
%0 Conference Paper
%1 ls_leimeister
%A Elshan, Edona
%A Engel, Christian
%A Ebel, Philipp
%B Hawaii International Conference on System Sciences (HICCS)
%D 2021
%K artificial_intelligence blackbox hybrind_intelligence itegpub music_industry pub_cen pub_eel pub_peb
%R 10.24251/HICSS.2021.671
%T Opening the Black Box of Music Royalties with the Help of Hybrid Intelligence
%U http://pubs.wi-kassel.de/wp-content/uploads/2021/05/JML_827.pdf
%X 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.
@inproceedings{ls_leimeister,
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.},
added-at = {2021-05-22T13:45:26.000+0200},
author = {Elshan, Edona and Engel, Christian and Ebel, Philipp},
biburl = {https://www.bibsonomy.org/bibtex/27294886382520a3f7eefcf633f7edff5/ls_leimeister},
booktitle = {Hawaii International Conference on System Sciences (HICCS)},
doi = {10.24251/HICSS.2021.671},
eventdate = {jan 2021},
eventtitle = {Hawaii International Conference on System Sciences (HICSS)},
interhash = {f2fc0bc76cdb560be8ca6633959997c0},
intrahash = {7294886382520a3f7eefcf633f7edff5},
keywords = {artificial_intelligence blackbox hybrind_intelligence itegpub music_industry pub_cen pub_eel pub_peb},
month = jan,
timestamp = {2021-07-07T10:47:05.000+0200},
title = {Opening the Black Box of Music Royalties with the Help of Hybrid Intelligence},
url = {http://pubs.wi-kassel.de/wp-content/uploads/2021/05/JML_827.pdf},
venue = {Kauai, USA},
year = 2021
}