Quantitative, value-driven risk analysis of e-services

Dan Ionita, Roel Wieringa, Jaap Gordijn, Ahmed Seid Yesuf

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Modern e-services are provided by networks of collaborating businesses. However, collaborators, and even customers, don’t always behave as expected or agreed upon, and fraudsters attempt unfair exploitation, legally or illegally. Profitability assessments of e-services should therefore look beyond revenue streams and also consider threats to the financial sustainability of the service offering. More importantly, any such analysis should consider the business network in which the e-service is embedded. The e3 value method is an established modeling and analysis method that allows enterprises to estimate the net value flows of a networked e-business. Recently, the method and its ontology have been extended to cover aspects related to risk, e.g., fraud. In this paper, we introduce four new software-enabled risk and sensitivity analyses, which build upon this extension. The techniques are quantitative and therefore support making motivated risk mitigation decisions. We illustrate them in the context of three realistic case studies.

Original languageEnglish
Pages (from-to)45-60
Number of pages16
JournalJournal of Information Systems
Volume33
Issue number3
Early online dateJun 2018
DOIs
Publication statusPublished - Sep 2019

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Keywords

  • E-services
  • Fraud
  • Profitability estimation
  • Risk analysis
  • Value modelling

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