Quantitative Alignment of Enterprise Architectures with the Business Model

Wilco Engelsman; Jaap Gordijn; Timber Haaker; Marten van Sinderen; Roel Wieringa

doi:10.1007/978-3-030-89022-3_16

Quantitative Alignment of Enterprise Architectures with the Business Model

Wilco Engelsman^*, Jaap Gordijn, Timber Haaker, Marten van Sinderen, Roel Wieringa

^*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

Abstract

For many companies, information and communication technology (ICT) is an essential part of the value proposition. Netflix and Spotify would not have been possible without internet technology. Business model up-scaling often requires a different ICT architecture, because an up-scaled business model imposes different performance requirements. This new architecture needs investments and has different operational expenses than the old architecture and requires recalculation of the business model. Investment decisions, in turn are guided by performance requirements. There are currently no methods to align a quantified business value model of a company with performance requirements on the enterprise architecture. In this paper, we show how to derive performance requirements on an enterprise architecture (EA) specified in ArchiMate from a quantification of a business model specified in e³value. Second, we show how we can aggregate investments and expenses from an ArchiMate model and insert these into an e³value model.

Original language	English
Title of host publication	Conceptual Modeling
Subtitle of host publication	40th International Conference, ER 2021, Virtual Event, October 18–21, 2021, Proceedings
Editors	Aditya Ghose, Jennifer Horkoff, Vítor E. Silva Souza, Jeffrey Parsons, Joerg Evermann
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	189-198
Number of pages	10
ISBN (Electronic)	9783030890223
ISBN (Print)	9783030890216
DOIs	https://doi.org/10.1007/978-3-030-89022-3_16
Publication status	Published - 2021
Event	40th International Conference on Conceptual Modeling, ER 2021 - Virtual, Online Duration: 18 Oct 2021 → 21 Oct 2021

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	13011 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	40th International Conference on Conceptual Modeling, ER 2021
City	Virtual, Online
Period	18/10/21 → 21/10/21

Bibliographical note

Publisher Copyright:
© 2021, Springer Nature Switzerland AG.

Keywords

ArchiMate
Business value model
Evalue
Enterprise architecture
Quantitative alignment
Traceability

Access to Document

10.1007/978-3-030-89022-3_16

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Engelsman, W., Gordijn, J., Haaker, T., van Sinderen, M., & Wieringa, R. (2021). Quantitative Alignment of Enterprise Architectures with the Business Model. In A. Ghose, J. Horkoff, V. E. Silva Souza, J. Parsons, & J. Evermann (Eds.), Conceptual Modeling: 40th International Conference, ER 2021, Virtual Event, October 18–21, 2021, Proceedings (pp. 189-198). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13011 LNCS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-89022-3_16

Engelsman, Wilco ; Gordijn, Jaap ; Haaker, Timber et al. / Quantitative Alignment of Enterprise Architectures with the Business Model. Conceptual Modeling: 40th International Conference, ER 2021, Virtual Event, October 18–21, 2021, Proceedings. editor / Aditya Ghose ; Jennifer Horkoff ; Vítor E. Silva Souza ; Jeffrey Parsons ; Joerg Evermann. Springer Science and Business Media Deutschland GmbH, 2021. pp. 189-198 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "For many companies, information and communication technology (ICT) is an essential part of the value proposition. Netflix and Spotify would not have been possible without internet technology. Business model up-scaling often requires a different ICT architecture, because an up-scaled business model imposes different performance requirements. This new architecture needs investments and has different operational expenses than the old architecture and requires recalculation of the business model. Investment decisions, in turn are guided by performance requirements. There are currently no methods to align a quantified business value model of a company with performance requirements on the enterprise architecture. In this paper, we show how to derive performance requirements on an enterprise architecture (EA) specified in ArchiMate from a quantification of a business model specified in e3value. Second, we show how we can aggregate investments and expenses from an ArchiMate model and insert these into an e3value model.",

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Engelsman, W, Gordijn, J, Haaker, T, van Sinderen, M & Wieringa, R 2021, Quantitative Alignment of Enterprise Architectures with the Business Model. in A Ghose, J Horkoff, VE Silva Souza, J Parsons & J Evermann (eds), Conceptual Modeling: 40th International Conference, ER 2021, Virtual Event, October 18–21, 2021, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13011 LNCS, Springer Science and Business Media Deutschland GmbH, pp. 189-198, 40th International Conference on Conceptual Modeling, ER 2021, Virtual, Online, 18/10/21. https://doi.org/10.1007/978-3-030-89022-3_16

Quantitative Alignment of Enterprise Architectures with the Business Model. / Engelsman, Wilco; Gordijn, Jaap; Haaker, Timber et al.

Conceptual Modeling: 40th International Conference, ER 2021, Virtual Event, October 18–21, 2021, Proceedings. ed. / Aditya Ghose; Jennifer Horkoff; Vítor E. Silva Souza; Jeffrey Parsons; Joerg Evermann. Springer Science and Business Media Deutschland GmbH, 2021. p. 189-198 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 13011 LNCS).

Research output: Chapter in Book / Report / Conference proceeding › Conference contribution › Academic › peer-review

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AU - van Sinderen, Marten

AU - Wieringa, Roel

PY - 2021

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N2 - For many companies, information and communication technology (ICT) is an essential part of the value proposition. Netflix and Spotify would not have been possible without internet technology. Business model up-scaling often requires a different ICT architecture, because an up-scaled business model imposes different performance requirements. This new architecture needs investments and has different operational expenses than the old architecture and requires recalculation of the business model. Investment decisions, in turn are guided by performance requirements. There are currently no methods to align a quantified business value model of a company with performance requirements on the enterprise architecture. In this paper, we show how to derive performance requirements on an enterprise architecture (EA) specified in ArchiMate from a quantification of a business model specified in e3value. Second, we show how we can aggregate investments and expenses from an ArchiMate model and insert these into an e3value model.

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Engelsman W, Gordijn J, Haaker T, van Sinderen M, Wieringa R. Quantitative Alignment of Enterprise Architectures with the Business Model. In Ghose A, Horkoff J, Silva Souza VE, Parsons J, Evermann J, editors, Conceptual Modeling: 40th International Conference, ER 2021, Virtual Event, October 18–21, 2021, Proceedings. Springer Science and Business Media Deutschland GmbH. 2021. p. 189-198. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). Epub 2021 Oct 16. doi: 10.1007/978-3-030-89022-3_16

Quantitative Alignment of Enterprise Architectures with the Business Model

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