Design Options for Data-Driven Business Models in Data-Ecosystems
| dc.contributor.author | Schweihoff,Julia Christina | |
| dc.contributor.author | Jussen,Ilka | |
| dc.contributor.author | Stachon,Maleen | |
| dc.contributor.author | Möller,Frederik | |
| dc.contributor.editor | Demmler, Daniel | |
| dc.contributor.editor | Krupka, Daniel | |
| dc.contributor.editor | Federrath, Hannes | |
| dc.date.accessioned | 2022-09-28T17:10:23Z | |
| dc.date.available | 2022-09-28T17:10:23Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Data has fundamentally changed the way companies cooperate. Traditional strategies of companies require to be rethought, revisioned, and reimagined based on the new environment of the data economy. Data as a key resource opens up new opportunities that companies need to leverage in data-driven business models (DDBM). Instead of acting in a vacuum, working together and creating value conjointly in an ecosystem based on data is paramount to success. Although DDBMs and ecosystems are not new, per se, there has been a lack of an overarching view of how many DDBMs interact in the context of ecosystems. The paper starts at this point as it develops a taxonomy of these business models in ecosystems. Thus, it contributes to helping researchers and practitioners understand the specifics of data-driven business models working in ecosystems. | en |
| dc.identifier.doi | 10.18420/inf2022_30 | |
| dc.identifier.isbn | 978-3-88579-720-3 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/39529 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik, Bonn | |
| dc.relation.ispartof | INFORMATIK 2022 | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-326 | |
| dc.subject | Data-Driven Business Model | |
| dc.subject | Data Ecosystem | |
| dc.subject | Taxonomy Development | |
| dc.subject | Case Study Research | |
| dc.subject | Design Options | |
| dc.title | Design Options for Data-Driven Business Models in Data-Ecosystems | en |
| gi.citation.endPage | 345 | |
| gi.citation.startPage | 331 | |
| gi.conference.date | 26.-30. September 2022 | |
| gi.conference.location | Hamburg | |
| gi.conference.sessiontitle | Nachhaltige Wertschöpfungssysteme (NaWerSys) II |
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