How does Enterprise Architecture support the Design and Realization of Data-Driven Business Models? An Empirical Study

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Standard

How does Enterprise Architecture support the Design and Realization of Data-Driven Business Models? An Empirical Study. / Rashed, Faisal; Drews, Paul.
Innovation Through Information Systems - Volume III: A Collection of Latest Research on Management Issues. Hrsg. / Frederik Ahlemann; Reinhard Schütte; Stefan Stieglitz. Cham: Springer Nature Switzerland AG, 2021. S. 662-677 (Lecture Notes in Information Systems and Organisation; Band 48 LNISO).

Publikation: Beiträge in SammelwerkenAufsätze in KonferenzbändenForschungbegutachtet

Harvard

Rashed, F & Drews, P 2021, How does Enterprise Architecture support the Design and Realization of Data-Driven Business Models? An Empirical Study. in F Ahlemann, R Schütte & S Stieglitz (Hrsg.), Innovation Through Information Systems - Volume III: A Collection of Latest Research on Management Issues. Lecture Notes in Information Systems and Organisation, Bd. 48 LNISO, Springer Nature Switzerland AG, Cham, S. 662-677, 16th International Conference on Business Information Systems Engineering - WI 2021, Duisburg, Nordrhein-Westfalen, Deutschland, 09.03.21. https://doi.org/10.1007/978-3-030-86800-0_45

APA

Rashed, F., & Drews, P. (2021). How does Enterprise Architecture support the Design and Realization of Data-Driven Business Models? An Empirical Study. In F. Ahlemann, R. Schütte, & S. Stieglitz (Hrsg.), Innovation Through Information Systems - Volume III: A Collection of Latest Research on Management Issues (S. 662-677). (Lecture Notes in Information Systems and Organisation; Band 48 LNISO). Springer Nature Switzerland AG. https://doi.org/10.1007/978-3-030-86800-0_45

Vancouver

Rashed F, Drews P. How does Enterprise Architecture support the Design and Realization of Data-Driven Business Models? An Empirical Study. in Ahlemann F, Schütte R, Stieglitz S, Hrsg., Innovation Through Information Systems - Volume III: A Collection of Latest Research on Management Issues. Cham: Springer Nature Switzerland AG. 2021. S. 662-677. (Lecture Notes in Information Systems and Organisation). doi: 10.1007/978-3-030-86800-0_45

Bibtex

@inbook{c57c11e80a8c48949fb19042959903f9,
title = "How does Enterprise Architecture support the Design and Realization of Data-Driven Business Models?: An Empirical Study",
abstract = "As part of the data evolution, data-driven business models (DDBMs) have emerged as a phenomenon in great demand for academia and practice. Latest technological advancements such as cloud, internet of things, big data, and machine learning have contributed to the rise of DDBM, along with novel opportunities to monetize data. While enterprise architecture (EA) management and modeling have proven its value for IT-related projects, the support of EA for DDBM is a rather new and unexplored field. Building upon a grounded theory research approach, we shed light on the support of EA for DDBM in practice. We derived four approaches for DDBM design and realization and relate them to the support of EA modeling and management. Our study draws on 16 semi-structured interviews with experts from consulting and industry firms. Our results contribute to a still sparsely researched area with empirical findings and new research avenues. Practitioners gain insights into reference cases and find opportunities to apply EA artifacts in DDBM projects.",
keywords = "Business informatics, Data-driven, Business model, enterprise architecture, Informatics",
author = "Faisal Rashed and Paul Drews",
note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 16th International Conference on Business Information Systems Engineering - WI 2021, WI ; Conference date: 09-03-2021 Through 11-03-2021",
year = "2021",
month = jan,
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doi = "10.1007/978-3-030-86800-0_45",
language = "English",
isbn = "978-3-030-86799-7",
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pages = "662--677",
editor = "Frederik Ahlemann and Reinhard Sch{\"u}tte and Stefan Stieglitz",
booktitle = "Innovation Through Information Systems - Volume III",
address = "Switzerland",
url = "https://wi2021.de/start-2.html",

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RIS

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T2 - 16th International Conference on Business Information Systems Engineering - WI 2021

AU - Rashed, Faisal

AU - Drews, Paul

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PY - 2021/1/1

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N2 - As part of the data evolution, data-driven business models (DDBMs) have emerged as a phenomenon in great demand for academia and practice. Latest technological advancements such as cloud, internet of things, big data, and machine learning have contributed to the rise of DDBM, along with novel opportunities to monetize data. While enterprise architecture (EA) management and modeling have proven its value for IT-related projects, the support of EA for DDBM is a rather new and unexplored field. Building upon a grounded theory research approach, we shed light on the support of EA for DDBM in practice. We derived four approaches for DDBM design and realization and relate them to the support of EA modeling and management. Our study draws on 16 semi-structured interviews with experts from consulting and industry firms. Our results contribute to a still sparsely researched area with empirical findings and new research avenues. Practitioners gain insights into reference cases and find opportunities to apply EA artifacts in DDBM projects.

AB - As part of the data evolution, data-driven business models (DDBMs) have emerged as a phenomenon in great demand for academia and practice. Latest technological advancements such as cloud, internet of things, big data, and machine learning have contributed to the rise of DDBM, along with novel opportunities to monetize data. While enterprise architecture (EA) management and modeling have proven its value for IT-related projects, the support of EA for DDBM is a rather new and unexplored field. Building upon a grounded theory research approach, we shed light on the support of EA for DDBM in practice. We derived four approaches for DDBM design and realization and relate them to the support of EA modeling and management. Our study draws on 16 semi-structured interviews with experts from consulting and industry firms. Our results contribute to a still sparsely researched area with empirical findings and new research avenues. Practitioners gain insights into reference cases and find opportunities to apply EA artifacts in DDBM projects.

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KW - Business model

KW - enterprise architecture

KW - Informatics

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Y2 - 9 March 2021 through 11 March 2021

ER -

DOI