Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47996
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dc.contributor.advisorJans, Mieke-
dc.contributor.advisorVanstraelen, Ann-
dc.contributor.advisorDepaire, Benoît-
dc.contributor.authorLAGHMOUCH, Manal-
dc.date.accessioned2026-01-07T10:24:01Z-
dc.date.available2026-01-07T10:24:01Z-
dc.date.issued2026-
dc.date.submitted2026-01-06T21:26:49Z-
dc.identifier.urihttp://hdl.handle.net/1942/47996-
dc.description.abstractnot available-
dc.language.isoen-
dc.titleSemi-automatic Deviation Identification: The Way Forward to Assurance over Financial Information-
dc.typeTheses and Dissertations-
local.format.pages191-
local.bibliographicCitation.jcatT1-
local.type.refereedNon-Refereed-
local.type.specifiedPhd thesis-
local.provider.typePdf-
local.uhasselt.internationalno-
item.fulltextWith Fulltext-
item.contributorLAGHMOUCH, Manal-
item.accessRightsEmbargoed Access-
item.fullcitationLAGHMOUCH, Manal (2026) Semi-automatic Deviation Identification: The Way Forward to Assurance over Financial Information.-
item.embargoEndDate2031-01-21-
Appears in Collections:Research publications
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