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dc.contributor.authorHussain, Omar
dc.contributor.authorDillon, Tharam S.
dc.contributor.authorHussain, Farookh Khadeer
dc.contributor.authorChang, Elizabeth
dc.date.accessioned2017-01-30T13:01:36Z
dc.date.available2017-01-30T13:01:36Z
dc.date.created2011-03-27T20:02:18Z
dc.date.issued2010
dc.identifier.citationHussain, Omar Khadeer and Dillon, Tharam S. and Chang, Elizabeth and Hussain, Farookh. 2010. Transactional risk-based decision making system in e-business interactions. International Journal of Computer Systems Science and Engineering. 25 (1): pp. 15-25.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/27851
dc.description.abstract

The credit crunch and economic crisis have demonstrated the need to properly understand, characterize and assimilate risk in business activities. Failure to do this has resulted in serious consequences to the users involved. So the analysis and management of risk is one of the important pre-requisites to ensure a successful outcome in a business activity in any domain. In this paper we propose an approach by which an interaction initiating user in the domain of e-business ascertains beforehand the level of transactional risk in the successful completion of its business activity and utilizes it to determine on an interaction. The proposed model considers the different sub-categories and characteristics of transactional risk and ascertains in numeric and semantic terms the different levels and severities of its occurrence. It then utilizes the determined analysis of transactional risk to recommend on an informed interaction-based decision to the interaction initiating user.

dc.publisherCRL Publishing
dc.subjectRisk Propensity
dc.subjectTransactional Risk
dc.subjectDecision Making
dc.subjectFinancial Risk
dc.subjectPerformance Risk
dc.titleTransactional risk-based decision making system in e-business interactions
dc.typeJournal Article
dcterms.source.volume25
dcterms.source.number1
dcterms.source.startPage15
dcterms.source.endPage25
dcterms.source.issn02676192
dcterms.source.titleInternational Journal of Computer Systems Science and Engineering
curtin.departmentDigital Ecosystems and Business Intelligence Institute (DEBII)
curtin.accessStatusOpen access


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