Supporting the Development and Realization of Data-Driven Business Models with Enterprise Architecture Modeling and Management
Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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Supporting the Development and Realization of Data-Driven Business Models with Enterprise Architecture Modeling and Management. / Rashed, Faisal; Drews, Paul.
Business Information Systems - 23rd International Conference, BIS 2020, Proceedings: 23rd International Conference, BIS 2020, Colorado Springs, CO, USA, June 8–10, 2020, Proceedings. Hrsg. / Witold Abramowicz; Gary Klein. Cham : Springer, 2020. S. 264-276 (Lecture Notes in Business Information Processing; Band 389 LNBIP).Publikation: Beiträge in Sammelwerken › Aufsätze in Konferenzbänden › Forschung › begutachtet
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TY - CHAP
T1 - Supporting the Development and Realization of Data-Driven Business Models with Enterprise Architecture Modeling and Management
AU - Rashed, Faisal
AU - Drews, Paul
N1 - Conference code: 23
PY - 2020
Y1 - 2020
N2 - 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).
AB - 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).
KW - Business informatics
KW - Business model
KW - Concerns
KW - Data-driven
KW - Enterprise architecture
UR - http://www.scopus.com/inward/record.url?scp=85089233303&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-53337-3_20
DO - 10.1007/978-3-030-53337-3_20
M3 - Article in conference proceedings
SN - 978-3-030-53336-6
SN - 978-3-030-53338-0
T3 - Lecture Notes in Business Information Processing
SP - 264
EP - 276
BT - Business Information Systems - 23rd International Conference, BIS 2020, Proceedings
A2 - Abramowicz, Witold
A2 - Klein, Gary
PB - Springer
CY - Cham
T2 - 23rd International Conference on Business Information Systems - BIS 2020
Y2 - 8 June 2020 through 10 June 2020
ER -