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dc.contributor.authorBhuiyan, M.
dc.contributor.authorRana, S.
dc.contributor.authorKrishna, Aneesh
dc.contributor.editorZhang Ting
dc.date.accessioned2017-03-15T22:05:46Z
dc.date.available2017-03-15T22:05:46Z
dc.date.created2017-02-24T00:09:33Z
dc.date.issued2011
dc.identifier.citationBhuiyan, M. and Rana, S. and Krishna, A. 2011. Evaluating effectiveness of risk identification and management using organisational models, in Zhang Ting (ed), ICCRD 2011, Mar 11 2011, pp. 278-282. Shanghai, China: IEEE.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/49544
dc.description.abstract

In this paper firstly we discuss an approach for supporting risk identification with the use of higher-level organizational models. We provide some intuitive metrics for extracting measures of actor criticality and vulnerability from organizational models. This helps direct risk management to areas of critical importance within organization models. Secondly, we provide details of an experiment that weconducted to evaluate our methodology. We believe our novel approach, will provide added benefits when used with other approaches to risk management during business process management, that do not reference the greater organizational context during risk assessment.

dc.publisherIEEE
dc.subjectRisk management
dc.subjectOrganisational Modeling
dc.subjectBusiness Process Modeling
dc.subjectAgent Oriented Conceptual Modeling
dc.titleEvaluating effectiveness of risk identification and management using organisational models
dc.typeConference Paper
dcterms.source.startPage278
dcterms.source.endPage282
dcterms.source.title2011 3rd International Conference on Computer Research and Development
dcterms.source.series2011 3rd International Conference on Computer Research and Development
dcterms.source.isbn9781612848372
dcterms.source.conferenceICCRD 2011
dcterms.source.conference-start-dateMar 11 2011
dcterms.source.conferencelocationShanghai, China
dcterms.source.placeChina
curtin.accessStatusFulltext not available
curtin.facultyFaculty of Engineering


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