Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/47664
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dc.contributor.advisorJans, Mieke-
dc.contributor.advisorMendling, Jan-
dc.contributor.authorJARIJCH, Dries-
dc.date.accessioned2025-11-03T11:57:33Z-
dc.date.available2025-11-03T11:57:33Z-
dc.date.issued2025-
dc.date.submitted2025-10-24T09:48:06Z-
dc.identifier.citationReijers, Hajo; Marrella, Andrea; del Rio Ortega, Adela; Rinderle-Ma, Stefanie; Depaire, Benoît; Rehse, Jana-Rebecca; Santoro, Flavia; Zerbato, Francesca; Beerepoot, Iris; Agostinelli, Simone; De Smedt, Johannes (Ed.). BPM 2025 Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum, CEUR-WS.org, p. 144 -151 (Art N° 20)-
dc.identifier.issn1613-0073-
dc.identifier.urihttp://hdl.handle.net/1942/47664-
dc.description.abstractWithin the field of process mining, there is an emerging topic of research regarding the feedback effects of process mining tools on behavior of process analysts. Due to its more recent emergence, not much research has been done on the topic. To address this gap, my PhD project will focus answering the question how does process automation impact the work of knowledge workers. The setting of auditing is selected for a case study that will examine the short and long term effects of process automation. My PhD research aims to discover both the positive and negative effects stemming from the implementation of process automation within the audit setting. Insights into this topic allow for better organizational decision-making regarding the implementation of process automation tools. Furthermore, it can serve as a basis for further theory building in a developing area of process mining research.-
dc.language.isoen-
dc.publisherCEUR-WS.org-
dc.relation.ispartofseriesJoint Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum at BPM 2025-
dc.rights© 2025 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).-
dc.subject.otherProcess automation-
dc.subject.otherprocess mining reliance-
dc.subject.otherautomation effects-
dc.titleImpact of Process Mining Tools on Process Analysis-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsReijers, Hajo-
local.bibliographicCitation.authorsMarrella, Andrea-
local.bibliographicCitation.authorsdel Rio Ortega, Adela-
local.bibliographicCitation.authorsRinderle-Ma, Stefanie-
local.bibliographicCitation.authorsDepaire, Benoît-
local.bibliographicCitation.authorsRehse, Jana-Rebecca-
local.bibliographicCitation.authorsSantoro, Flavia-
local.bibliographicCitation.authorsZerbato, Francesca-
local.bibliographicCitation.authorsBeerepoot, Iris-
local.bibliographicCitation.authorsAgostinelli, Simone-
local.bibliographicCitation.authorsDe Smedt, Johannes-
local.bibliographicCitation.conferencedate2025, August 31-September 5-
local.bibliographicCitation.conferencename23rd International Conference on Business Process Management (BPM 2025)-
local.bibliographicCitation.conferenceplaceSeville, Spain-
dc.identifier.epage151-
dc.identifier.spage144-
dc.identifier.volume4032-
local.format.pages8-
local.bibliographicCitation.jcatC1-
local.contributor.corpauthorUHasselt — Hasselt University, Faculty of Business Economics, Agoralaan, 3590 Diepenbeek, Belgium-
local.contributor.corpauthorUHasselt — Hasselt University, Digital Future Lab, Agoralaan, 3590 Diepenbeek, Belgium-
local.publisher.placeAachen, Germany-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.bibliographicCitation.artnr20-
dc.identifier.urlhttps://ceur-ws.org/Vol-4032/-
local.provider.typePdf-
local.bibliographicCitation.btitleBPM 2025 Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum-
local.uhasselt.internationalno-
item.contributorJARIJCH, Dries-
item.accessRightsOpen Access-
item.fullcitationJARIJCH, Dries (2025) Impact of Process Mining Tools on Process Analysis. In: Reijers, Hajo; Marrella, Andrea; del Rio Ortega, Adela; Rinderle-Ma, Stefanie; Depaire, Benoît; Rehse, Jana-Rebecca; Santoro, Flavia; Zerbato, Francesca; Beerepoot, Iris; Agostinelli, Simone; De Smedt, Johannes (Ed.). BPM 2025 Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Forum, CEUR-WS.org, p. 144 -151 (Art N° 20).-
item.fulltextWith Fulltext-
crisitem.journal.issn1613-0073-
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