Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/11889
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dc.contributor.authorAksu, Fatma-
dc.contributor.authorVANHOOF, Koen-
dc.contributor.authorDe Munck, Liesbeth-
dc.date.accessioned2011-04-28T14:01:08Z-
dc.date.availableNO_RESTRICTION-
dc.date.available2011-04-28T14:01:08Z-
dc.date.issued2010-
dc.identifier.citationProceedings 2010 IEEE International conference on Intelligent systems and knowledge engineering. p. 664-667.-
dc.identifier.isbn978-1-4244-6791-4-
dc.identifier.urihttp://hdl.handle.net/1942/11889-
dc.description.abstractThis paper focuses on small and midsized enterprises (SME's) and investigates which business process modeling (BPM) methodology is the most adequate and appropriate for these type of companies. Therefore, it selects and applies a general framework, by which BPM-methodologies are evaluated and compared, instead of isolated frameworks. More specific, this paper emphasize the intention towards a foundation of such a framework based on a method ranking approach combined with a case based approach.-
dc.language.isoen-
dc.publisherIEEE-
dc.titleEvaluation and comparison of business process modeling methodologies for small and midsized enterprises-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencenameIntelligent Systems and Knowledge Engineering (ISKE)-
local.bibliographicCitation.conferenceplace15-16 Nov. 2010-
dc.identifier.epage667-
dc.identifier.spage664-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.bibliographicCitation.oldjcatC2-
dc.identifier.doi10.1109/ISKE.2010.5680772-
local.bibliographicCitation.btitleProceedings 2010 IEEE International conference on Intelligent systems and knowledge engineering-
item.contributorDe Munck, Liesbeth-
item.contributorVANHOOF, Koen-
item.contributorAksu, Fatma-
item.accessRightsOpen Access-
item.fullcitationAksu, Fatma; VANHOOF, Koen & De Munck, Liesbeth (2010) Evaluation and comparison of business process modeling methodologies for small and midsized enterprises. In: Proceedings 2010 IEEE International conference on Intelligent systems and knowledge engineering. p. 664-667..-
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