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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorSpruit, M.
dc.contributor.advisorDalpiaz, F.
dc.contributor.advisorKoelemeijer, S.
dc.contributor.authorPieket Weeserik, A.J.
dc.date.accessioned2017-09-28T17:01:30Z
dc.date.available2017-09-28T17:01:30Z
dc.date.issued2017
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/27805
dc.description.abstractOperational Risk Management (ORM) comprises the (continuous) management of all risks resulting from: Human actions, (failed) internal processes, systems and external events. Business Performance Management (BPM) technologies are believed to provide a solution for effective Operational Risk Management. Central in this research is the development and practical validation of a new maturity model. The maturity model consists of a process part, related to operational risk management implementation and technologies part, relating to BPM technologies used. This research followed the Design Science cycles approach as described by Hevner (Hevner A. R., 2007). There appears to be a strong relationship (0.78) with ORM process maturity and supporting BPM technologies. The maturity model as described in this paper provides a suitable path of technologies related to six distinctive stages for organizations driven towards continuous improvement of ORM processes.
dc.description.sponsorshipUtrecht University
dc.format.extent3739667
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.titleImproving Operational Risk Management using Business Performance Management technologies
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsRisk management; Operational Risk Management; ORM; Business Intelligence; Business Performance Management; Software; BPM technologies; BPMT
dc.subject.courseuuBusiness Informatics


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