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  • Norms modeling constructs of business process compliance management frameworks: a conceptual evaluation

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    Gorvernatori161537.pdf (680.9Kb)
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    Author(s)
    Hashmi, Mustafa
    Governatori, Guido
    Griffith University Author(s)
    Governatori, Guido
    Year published
    2018
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    Abstract
    The 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 ...
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    The 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.
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    Journal Title
    ARTIFICIAL INTELLIGENCE AND LAW
    Volume
    26
    Issue
    3
    DOI
    https://doi.org/10.1007/s10506-017-9215-8
    Copyright Statement
    © 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.
    Subject
    Artificial intelligence
    Information systems
    Cognitive and computational psychology
    Publication URI
    http://hdl.handle.net/10072/383084
    Collection
    • Journal articles

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