Conceptual Model of Risk: Towards a Risk Modelling Language

Sienou, Amadou; Lamine, Elyes; Karduck, Achim P.; Pingaud, Hervé

doi:10.1007/978-3-540-77010-7_13

Cited by 13 publications

(8 citation statements)

References 2 publications

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“…Thus, it is possible to model specific risksincluding statistical distributions for a probability-that apply to specific resource instances, like a batch of hard disks with specific failure probabilities provided by the manufacturer. An example of use of an intrinsic attribute is occurrence: This attribute serves to document actual occurrences of uncertainties with timestamps of when the event occurred, for example, which then allows information such as 'Risk State' to be represented as proposed by Sienou et al (2007). By documenting such information, ex post analyses based on historical data are supported.…”

Section: Specification Of the Memo Risk Modeling Languagementioning

confidence: 98%

“…In contrast to Sienou et al (2007), we deliberately distinguish between type and instance level. As Fig.…”

Section: Specification Of the Memo Risk Modeling Languagementioning

confidence: 98%

“…The assignment-concept-which can also be found to some extent in prior literature (Sienou et al 2007;zur Muehlen and Rosemann 2005)-is refined in two ways. First, one can imagine additional kinds of relationships between risks and between chances such as intensification, weakening, or compensation.…”

Section: Specification Of the Memo Risk Modeling Languagementioning

confidence: 99%

“…Sienou et al (2007) specify a graphical risk modeling language that is defined by an elaborate meta model comprising more than 20 meta types. Since attributes are missing from the meta model, the semantics of its concepts are partly up to interpretation.…”

Section: Related Workmentioning

confidence: 99%

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RiskM: A multi-perspective modeling method for IT risk assessment

2010

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Stakeholder involvement and participation are widely recognized as being key success factors for IT risk assessment. A particular challenge facing current IT risk assessment methods is to provide accessible abstractions on matters of IT risk that attend to both managerial and technical perspectives of the stakeholders involved. In this paper, we investigate whether a conceptual modeling method can address essential requirements in the IT risk assessment domain, and which structural and procedural features such a method entails. The research follows a design research process in which we describe a research artifact, and evaluate it to assess whether it meets the intended goals. In the paper, we specify requirements and assumptions underlying the method construction, discuss the structural specification of the method and its design rationale, present a prototypical application scenario, and provide an initial method evaluation. The results indicate that multi-perspective modeling methods satisfy requirements specific to the IT risk assessment domain, and that such methods, in fact, provide abstractions on matters of IT risk accessible to both a technical and a managerial audience.

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Section: Specification Of the Memo Risk Modeling Languagementioning

confidence: 98%

“…In contrast to Sienou et al (2007), we deliberately distinguish between type and instance level. As Fig.…”

Section: Specification Of the Memo Risk Modeling Languagementioning

confidence: 98%

Section: Specification Of the Memo Risk Modeling Languagementioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 2 more Smart Citations

RiskM: A multi-perspective modeling method for IT risk assessment

2010

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“…To aid our evaluation, Table 2 is provided to summarize the types of riskrelated activities that each of the twenty-seven approaches supports at each stage of the BPM lifecycle. Jakoubi, and Quirchmayr, 2008b;Tjoa, Jakoubi, Goluch, and Kitzler, 2010;Tjoa, Jakoubi, Goluch, and Quirchmayr, 2008a;Tjoa et al, 2011;Jakoubi, Tjoa, and Quirchmayr, 2007;Kitzler, 2010a, 2010b;Jakoubi, Neubauer, and Tjoa, 2009b;Ekelhart, Fenz, Klemen, and Weippl, 2007;Jakoubi and Tjoa, 2009;Jakoubi, Goluch, Tjoa, and Quirchmayr, 2008;Goluch et al, 2008 Sienou et al DI02 Sienou, Lamine, Pingaud, and Karduck, 2010;Sienou, Lamine, Karduck, and Pingaud, 2008b;Sienou, Lamine, Karduck and Pingaud, 2007;Sienou, Lamine, Pingaud, and Karduck, 2009;Sienou, Lamine, and Pingaud, 2008c;Sienou, Karduck, and Pingaud, 2006;Sienou, Karduck, Lamine, and Pingaud, 2008a;Karduck, Sienou, Lamine, and Pingaud, 2007;Sienou, 2009 Rotaru et al DI08 Rotaru, Wilkin, Churilov, and Neiger, 2008;Neiger, Churliov, zur Muehlen, and Rosemann, 2006;Rotaru, Wilkin, Churilov, Neiger, and Ceglowski, 2009 Betz et al DI09 Betz, Hickl, and Oberweis, 2011 Herrmann and Herrmann…”

Section: Literature Evaluationmentioning

confidence: 99%

Current Research in Risk-aware Business Process Management―Overview, Comparison, and Gap Analysis

Suriadi

Weiß²,

Winkelmann³

et al. 2014

CAIS

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The management of risk in business processes has been the subject of active research in the past few years. Potentially, many benefits can be obtained by integrating the two traditionally separated fields of risk management and business process management, including the ability to minimize risks in business processes by design and to mitigate such risks at run time. While there has been an increasing amount of research aimed at delivering such an integrated system, these research efforts vary in terms of scope, goals, and functionality. Through the systematic collection and evaluation of relevant literature, this article compares and classifies current approaches in the area of risk-aware business process management in order to expose and explain current research gaps. The process through which relevant literature was collected, filtered, and evaluated is also detailed. Finally, a research agenda is proposed.

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