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AuthorLohrmann, Matthiasdc.contributor.author
AuthorReichert, Manfreddc.contributor.author
Date of accession2016-03-15T09:03:49Zdc.date.accessioned
Available in OPARU since2016-03-15T09:03:49Zdc.date.available
Year of creation2013dc.date.created
AbstractImproving the operational efficiency of processes is an important goal of business process management (BPM). There exist many proposals with regard to process improvement patterns (PIPs) as practices that aim at supporting this task. Nevertheless, there is still a gap with respect to validating PIPs in terms of their actual business value for a specific organization. Based on empirical research and experience from consulting projects, this paper proposes a method to tackle this challenge. Our approach towards a-priori validation of process improvement patterns considers real-world constraints such as the role of senior stakeholders and opportunities such as process mining techniques. In the sense of an experience report, our approach as well as results are illustrated on the basis of a real-world business process from human resources management, covering a transactional volume of about 29,000 process instances over the period of one year. Overall, our proposal enables practitioners and researchers to subject PIPs to a sound validation procedure before taking any process implementation decision.dc.description.abstract
Languageendc.language.iso
PublisherUniversität Ulmdc.publisher
LicenseStandarddc.rights
Link to license texthttps://oparu.uni-ulm.de/xmlui/license_v3dc.rights.uri
KeywordBusiness process designdc.subject
KeywordBusiness process governancedc.subject
KeywordBusiness process optimizationdc.subject
KeywordProcess intelligencedc.subject
KeywordProcess miningdc.subject
Dewey Decimal GroupDDC 004 / Data processing & computer sciencedc.subject.ddc
LCSHReengineering (Management)dc.subject.lcsh
TitleDemonstrating the effectiveness of process improvement patterns with mining resultsdc.title
Resource typeBerichtdc.type
DOIhttp://dx.doi.org/10.18725/OPARU-2475dc.identifier.doi
PPN1652333126dc.identifier.ppn
URNhttp://nbn-resolving.de/urn:nbn:de:bsz:289-vts-84561dc.identifier.urn
GNDProzessmanagementdc.subject.gnd
GNDProzessoptimierungdc.subject.gnd
FacultyFakultät für Ingenieurwissenschaften und Informatikuulm.affiliationGeneral
Date of activation2013-04-18T16:45:14Zuulm.freischaltungVTS
Peer reviewneinuulm.peerReview
DCMI TypeTextuulm.typeDCMI
VTS-ID8456uulm.vtsID
CategoryPublikationenuulm.category
Ulm seriesUlmer Informatik-Berichteuulm.seriesUlmName


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