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

1 Citation (Scopus)

170 Downloads (Pure)

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 - 40th International Conference, ER 2021, Proceedings
Editors	Aditya Ghose, Jennifer Horkoff, Vítor E. Silva Souza, Jeffrey Parsons, Joerg Evermann
Publisher	Springer
Pages	189-198
Number of pages	10
ISBN (Print)	9783030890216
DOIs	https://doi.org/10.1007/978-3-030-89022-3_16
Publication status	Published - 16 Oct 2021
Event	40th International Conference on Conceptual Modeling, ER 2021 - Virtually, Virtual, Online, Canada Duration: 18 Oct 2021 → 21 Oct 2021 Conference number: 40 https://www.er2021.org/index.html

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
Abbreviated title	ER 2021
Country/Territory	Canada
City	Virtual, Online
Period	18/10/21 → 21/10/21
Internet address	https://www.er2021.org/index.html

Keywords

2024 OA procedure
Business value model
Evalue
Enterprise architecture
Quantitative alignment
Traceability
ArchiMate

Access to Document

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

978-3-030-89022-3_16Final published version, 777 KBLicence: Taverne

Cite this

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, 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. 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, Proceedings. editor / Aditya Ghose ; Jennifer Horkoff ; Vítor E. Silva Souza ; Jeffrey Parsons ; Joerg Evermann. Springer, 2021. pp. 189-198 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{bb790c6c1eea454b91756c7b82d8a228,

title = "Quantitative Alignment of Enterprise Architectures with the Business Model",

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.",

keywords = "2024 OA procedure, Business value model, Evalue, Enterprise architecture, Quantitative alignment, Traceability, ArchiMate",

author = "Wilco Engelsman and Jaap Gordijn and Timber Haaker and {van Sinderen}, Marten and Roel Wieringa",

note = "Publisher Copyright: {\textcopyright} 2021, Springer Nature Switzerland AG.; 40th International Conference on Conceptual Modeling, ER 2021, ER 2021 ; Conference date: 18-10-2021 Through 21-10-2021",

year = "2021",

month = oct,

day = "16",

doi = "10.1007/978-3-030-89022-3_16",

language = "English",

isbn = "9783030890216",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer",

pages = "189--198",

editor = "Aditya Ghose and Jennifer Horkoff and {Silva Souza}, {V{\'i}tor E.} and Jeffrey Parsons and Joerg Evermann",

booktitle = "Conceptual Modeling - 40th International Conference, ER 2021, Proceedings",

address = "Germany",

url = "https://www.er2021.org/index.html",

}

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, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13011 LNCS, Springer, pp. 189-198, 40th International Conference on Conceptual Modeling, ER 2021, Virtual, Online, Canada, 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, Proceedings. ed. / Aditya Ghose; Jennifer Horkoff; Vítor E. Silva Souza; Jeffrey Parsons; Joerg Evermann. Springer, 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

TY - GEN

T1 - Quantitative Alignment of Enterprise Architectures with the Business Model

AU - Engelsman, Wilco

AU - Gordijn, Jaap

AU - Haaker, Timber

AU - van Sinderen, Marten

AU - Wieringa, Roel

N1 - Conference code: 40

PY - 2021/10/16

Y1 - 2021/10/16

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.

AB - 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.

KW - 2024 OA procedure

KW - Business value model

KW - Evalue

KW - Enterprise architecture

KW - Quantitative alignment

KW - Traceability

KW - ArchiMate

UR - http://www.scopus.com/inward/record.url?scp=85118191805&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-89022-3_16

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

M3 - Conference contribution

AN - SCOPUS:85118191805

SN - 9783030890216

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 189

EP - 198

BT - Conceptual Modeling - 40th International Conference, ER 2021, Proceedings

A2 - Ghose, Aditya

A2 - Horkoff, Jennifer

A2 - Silva Souza, Vítor E.

A2 - Parsons, Jeffrey

A2 - Evermann, Joerg

PB - Springer

T2 - 40th International Conference on Conceptual Modeling, ER 2021

Y2 - 18 October 2021 through 21 October 2021

ER -

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, Proceedings. Springer. 2021. p. 189-198. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-030-89022-3_16

Quantitative Alignment of Enterprise Architectures with the Business Model

Abstract

Publication series

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this