Quantitative, Value-driven Risk Analysis of e-Services

Dan Ionita (Corresponding Author), Roel Wieringa, Jaap Gordijn, Ahmed Seid Yesuf

    Research output: Contribution to journalArticleAcademicpeer-review

    1 Citation (Scopus)

    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 aim at 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 e3value method is an established modelling and analysis method which 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
    JournalJournal of Information Systems
    Volume33
    Issue number3
    Early online date22 May 2018
    DOIs
    Publication statusPublished - Sep 2019

    Keywords

    • e-Services
    • Value modelling
    • Profitability estimation
    • Risk analysis
    • Fraud

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