Show simple item record

dc.contributor.authorHashmi, Mustafa
dc.contributor.authorGovernatori, Guido
dc.date.accessioned2019-06-19T13:04:14Z
dc.date.available2019-06-19T13:04:14Z
dc.date.issued2018
dc.identifier.issn0924-8463
dc.identifier.doi10.1007/s10506-017-9215-8
dc.identifier.urihttp://hdl.handle.net/10072/383084
dc.description.abstractThe effectiveness of a compliance management framework (CMF) can be guaranteed only if the framework is based on sound conceptual and formal foundations. In particular, the formal language used in the CMF is able to expressively represent the specifications of normative requirements (hereafter, norms) that impose constraints on various activities of a business process. However, if the language used lacks expressiveness and the modelling constructs proposed in the CMF are not able to properly represent different types of norms, it can significantly impede the reliability of the compliance results produced by the CMF. This paper investigates whether existing CMFs are able to provide reasoning and modeling support for various types of normative requirements by evaluating the conceptual foundations of the modeling constructs that existing CMFs use to represent a specific type of norm. The evaluation results portray somewhat a bleak picture of the state-of-the-affairs when it comes to represent norms as none of the existing CMFs is able to provide a comprehensive reasoning and modeling support. Also, it points to the shortcomings of the CMFs and emphasises exigent need of new modeling languages with sound theoretical and formal foundations for representing legal norms.
dc.description.peerreviewedYes
dc.languageEnglish
dc.language.isoeng
dc.publisherSPRINGER
dc.relation.ispartofpagefrom251
dc.relation.ispartofpageto305
dc.relation.ispartofissue3
dc.relation.ispartofjournalARTIFICIAL INTELLIGENCE AND LAW
dc.relation.ispartofvolume26
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchInformation systems
dc.subject.fieldofresearchCognitive and computational psychology
dc.subject.fieldofresearchcode4602
dc.subject.fieldofresearchcode4609
dc.subject.fieldofresearchcode5204
dc.titleNorms modeling constructs of business process compliance management frameworks: a conceptual evaluation
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
dc.description.versionAccepted Manuscript (AM)
gro.rights.copyright© 2018 Springer London. This is an electronic version of an article published in ARTIFICIAL INTELLIGENCE AND LAW, September 2018, Volume 26, Issue 3, pp 251–305. ARTIFICIAL INTELLIGENCE AND LAW is available online at: https://link.springer.com/journal/10506 with the open https://link.springer.com/article/10.1007%2Fs10506-017-9215-8 of your article.
gro.hasfulltextFull Text
gro.griffith.authorGovernatori, Guido


Files in this item

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record