An approach to risk events analysis for ERM using AHP and cluster analysis

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dc.contributor.author Pornprasitpol, Pornwan en_US
dc.contributor.author Ye, Dan en_US
dc.contributor.author Sun, Ming-Bo en_US
dc.contributor.editor NA en_US
dc.date.accessioned 2012-02-02T11:09:01Z
dc.date.available 2012-02-02T11:09:01Z
dc.date.issued 2010 en_US
dc.identifier 2010003115 en_US
dc.identifier.citation Pornprasitpol Pornwan, Ye Dan, and Sun Ming-Bo 2010, 'An approach to risk events analysis for ERM using AHP and cluster analysis', , IEEE, Piscatway, USA, , pp. 1009-1013. en_US
dc.identifier.issn 978-1-4244-6484-5 en_US
dc.identifier.other E1 en_US
dc.identifier.uri http://hdl.handle.net/10453/16416
dc.description.abstract An increase in enterprise's operational risk concerns a broader range of corporate stakeholders. Therefore, there is a need for integrated Enterprise Risk Management (ERM) system, in order to keep the enterprise competitive. There also has been a paucity en_US
dc.language en_US
dc.publisher IEEE en_US
dc.relation.isbasedon http://dx.doi.org/10.1109/ICIEEM.2010.5646456 en_US
dc.title An approach to risk events analysis for ERM using AHP and cluster analysis en_US
dc.parent Proceedings - 2010 IEEE 17th International Conference on Industrial Engineering and Engineering Management, IE and EM2010 en_US
dc.journal.volume en_US
dc.journal.number en_US
dc.publocation Piscatway, USA en_US
dc.identifier.startpage 1009 en_US
dc.identifier.endpage 1013 en_US
dc.cauo.name FEIT.Faculty of Engineering & Information Technology en_US
dc.conference Verified OK en_US
dc.for 099900 en_US
dc.personcode 10644870 en_US
dc.personcode 0000068152 en_US
dc.personcode 0000068153 en_US
dc.percentage 100 en_US
dc.classification.name Other Engineering en_US
dc.classification.type FOR-08 en_US
dc.edition en_US
dc.custom nternational Conference on Industrial Engineering and Engineering Management en_US
dc.date.activity 20101029 en_US
dc.location.activity Xiamen, China en_US
dc.description.keywords AHP; Enterprise risk management; Event layer; Operational risks; Risk management performance; Cluster analysis; Hierarchical systems; Industrial engineering; Industry; Risk assessment; Risk management; Risk analysis en_US
dc.staffid en_US


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