Automated Identification and Prioritization of Business Risks in e-service Networks

Dan Ionita; Roelf J. Wieringa; Jaap Gordijn

doi:10.1007/978-3-319-32689-4_42

Automated Identification and Prioritization of Business Risks in e-service Networks

Dan Ionita, Roelf J. Wieringa, Jaap Gordijn

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

6 Citations (Scopus)

231 Downloads (Pure)

Abstract

Modern e-service providers rely on service innovation to stay relevant. Once a new service package is designed, implementation-specific aspects such as value (co-)creation and cost/benefit analysis are investigated. However, due to time-to-market or competitive advantage constraints, innovative services are rarely assessed for potential risks of fraud before they are put out on the market. But these risks may result in loss of economic value for actors involved in the e-service’s provision. Our e3fraude3fraud approach automatically generates and prioritizes undesired-able scenarios from a business value model of the e-service, thereby drastically reducing the time needed to conduct an assessment. We provide examples from telecom service provision to motivate and illustrate the utility of the tool.

Original language	Undefined
Title of host publication	Proceedings of the 7th International Conference on Exploring Service Science, IESS 2016
Editors	Theodor Borangiu, Monica Dragoicea, Henriqueta Novoa
Place of Publication	London
Publisher	Springer
Pages	547-560
Number of pages	14
ISBN (Print)	978-3-319-32689-4
DOIs	https://doi.org/10.1007/978-3-319-32689-4_42
Publication status	Published - 19 May 2016
Event	7th International Conference on Exploring Service Science, IESS 2016, Bucharest, Romania: Proceedings of the 7th International Conference on Exploring Service Science, IESS 2016 - London Duration: 19 May 2016 → …

Publication series

Name	Lecture Notes in Business Information Processing
Publisher	Springer Verlag
Volume	247
ISSN (Print)	1865-1348

Conference

Conference	7th International Conference on Exploring Service Science, IESS 2016, Bucharest, Romania
City	London
Period	19/05/16 → …

Keywords

E-Services
RISK ASSESSMENT
Fraud
EWI-27176
EC Grant Agreement nr.: FP7/318003
EC Grant Agreement nr.: FP7/2007-2013
value models
SCS-Cybersecurity
IR-101060
METIS-318504

Access to Document

10.1007/978-3-319-32689-4_42

e3fraud(2)

http://eprints.eemcs.utwente.nl/secure2/27176/01/e3fraud(2).pdf

6 Citations
1 PhD Thesis - Research UT, graduation UT

Model-Driven Information Security Risk Assessment of Socio-Technical Systems
Ionita, D., 8 Mar 2018, Enschede: University of Twente. 156 p.
Research output: Thesis › PhD Thesis - Research UT, graduation UT

Open Access
File
958 Downloads (Pure)

Cite this

Ionita, D., Wieringa, R. J., & Gordijn, J. (2016). Automated Identification and Prioritization of Business Risks in e-service Networks. In T. Borangiu, M. Dragoicea, & H. Novoa (Eds.), Proceedings of the 7th International Conference on Exploring Service Science, IESS 2016 (pp. 547-560). (Lecture Notes in Business Information Processing; Vol. 247). Springer. https://doi.org/10.1007/978-3-319-32689-4_42

Ionita, Dan ; Wieringa, Roelf J. ; Gordijn, Jaap. / Automated Identification and Prioritization of Business Risks in e-service Networks. Proceedings of the 7th International Conference on Exploring Service Science, IESS 2016. editor / Theodor Borangiu ; Monica Dragoicea ; Henriqueta Novoa. London : Springer, 2016. pp. 547-560 (Lecture Notes in Business Information Processing).

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abstract = "Modern e-service providers rely on service innovation to stay relevant. Once a new service package is designed, implementation-specific aspects such as value (co-)creation and cost/benefit analysis are investigated. However, due to time-to-market or competitive advantage constraints, innovative services are rarely assessed for potential risks of fraud before they are put out on the market. But these risks may result in loss of economic value for actors involved in the e-service{\textquoteright}s provision. Our e3fraude3fraud approach automatically generates and prioritizes undesired-able scenarios from a business value model of the e-service, thereby drastically reducing the time needed to conduct an assessment. We provide examples from telecom service provision to motivate and illustrate the utility of the tool.",

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author = "Dan Ionita and Wieringa, {Roelf J.} and Jaap Gordijn",

note = "Foreground = 90%; Type of activity = publication; Main leader = UT; Type of audience = scientific community; Size of audience = 25; Countries addressed = international;; 7th International Conference on Exploring Service Science, IESS 2016, Bucharest, Romania ; Conference date: 19-05-2016",

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Ionita, D, Wieringa, RJ & Gordijn, J 2016, Automated Identification and Prioritization of Business Risks in e-service Networks. in T Borangiu, M Dragoicea & H Novoa (eds), Proceedings of the 7th International Conference on Exploring Service Science, IESS 2016. Lecture Notes in Business Information Processing, vol. 247, Springer, London, pp. 547-560, 7th International Conference on Exploring Service Science, IESS 2016, Bucharest, Romania, London, 19/05/16. https://doi.org/10.1007/978-3-319-32689-4_42

Automated Identification and Prioritization of Business Risks in e-service Networks. / Ionita, Dan; Wieringa, Roelf J.; Gordijn, Jaap.
Proceedings of the 7th International Conference on Exploring Service Science, IESS 2016. ed. / Theodor Borangiu; Monica Dragoicea; Henriqueta Novoa. London: Springer, 2016. p. 547-560 (Lecture Notes in Business Information Processing; Vol. 247).

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

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ER -

Ionita D, Wieringa RJ, Gordijn J. Automated Identification and Prioritization of Business Risks in e-service Networks. In Borangiu T, Dragoicea M, Novoa H, editors, Proceedings of the 7th International Conference on Exploring Service Science, IESS 2016. London: Springer. 2016. p. 547-560. (Lecture Notes in Business Information Processing). doi: 10.1007/978-3-319-32689-4_42

Automated Identification and Prioritization of Business Risks in e-service Networks

Abstract

Publication series

Conference

Keywords

Access to Document

Research output

Model-Driven Information Security Risk Assessment of Socio-Technical Systems

Cite this