Quantitative, Value-driven Risk Analysis of e-Services

Dan Ionita (Corresponding Author), Jaap Gordijn, AS Yesuf, Roelf Johannes Wieringa

    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
    JournalJournal of Information Systems
    DOIs
    Publication statusE-pub ahead of print/First online - 22 May 2018

    Keywords

    • Quantitative Value-driven e-Services

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