Supporting the Development and Realization of Data-Driven Business Models with Enterprise Architecture Modeling and Management

Research output: Contributions to collected editions/worksArticle in conference proceedingsResearchpeer-review

Authors

Designing and realizing data-driven business models (DDBMs) are key challenges for many enterprises and are recent research topics. While enterprise architecture (EA) modeling and management proved their potential value for supporting information technology-related projects, EA’s specific role in developing and realizing DDBMs is a new and rather unexplored research field. We conducted a systematic literature review on big data, business models, and EA to identify the potentials of EA support for developing and realizing DDBMs. We derived 42 EA concerns from the literature, structured along the dimensions of the business model canvas and the status of realization (as-is, to-be).
Original languageEnglish
Title of host publicationBusiness Information Systems - 23rd International Conference, BIS 2020, Proceedings : 23rd International Conference, BIS 2020, Colorado Springs, CO, USA, June 8–10, 2020, Proceedings
EditorsWitold Abramowicz, Gary Klein
Number of pages13
Place of PublicationCham
PublisherSpringer
Publication date2020
Pages264-276
ISBN (print)978-3-030-53336-6, 978-3-030-53338-0
ISBN (electronic)978-3-030-53337-3
DOIs
Publication statusPublished - 2020
Event23rd International Conference on Business Information Systems - BIS 2020 : Business Information Systems - Colorado Springs, United States
Duration: 08.06.202010.06.2020
Conference number: 23
http://bisconf.org/