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 \(e^{3}fraud\) 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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Ionita, D., Wieringa, R.J., Gordijn, J. (2016). Automated Identification and Prioritization of Business Risks in e-service Networks. In: Borangiu, T., Dragoicea, M., Nóvoa, H. (eds) Exploring Services Science. IESS 2016. Lecture Notes in Business Information Processing, vol 247. Springer, Cham. https://doi.org/10.1007/978-3-319-32689-4_42
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DOI: https://doi.org/10.1007/978-3-319-32689-4_42
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