Narrowing the business-IT gap in process performance measurement

H. Van Der Aa, A. Del-Río-Ortega, M. Resinas, H. Leopold, A. Ruiz-Cortés, J. Mendling, H.A. Reijers

    Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

    8 Citaten (Scopus)
    1 Downloads (Pure)

    Samenvatting

    To determine whether strategic goals are met, organizations must monitor how their business processes perform. Process Performance Indicators (PPIs) are used to specify relevant performance requirements. The formulation of PPIs is typically a managerial concern. Therefore, considerable effort has to be invested to relate PPIs, described by management, to the exact operational and technical characteristics of business processes. This work presents an approach to support this task, which would otherwise be a laborious and time-consuming endeavor. The presented approach can automatically establish links between PPIs, as formulated in natural language, with operational details, as described in process models. To do so, we employ machine learning and natural language processing techniques. A quantitative evaluation on the basis of a collection of 173 real-world PPIs demonstrates that the proposed approach works well.

    Originele taal-2Engels
    TitelAdvanced Information Systems Engineering
    Subtitel28th International Conference, CAiSE 2016, Ljubljana, Slovenia, June 13-17, 2016. Proceedings
    RedacteurenS. Nurcan, P. Soffer, M. Bajec, J. Eder
    Plaats van productieDordrecht
    UitgeverijSpringer
    Pagina's543-557
    Aantal pagina's15
    ISBN van elektronische versie978-3-319-39696-5
    ISBN van geprinte versie978-3-319-39695-8
    DOI's
    StatusGepubliceerd - 2016
    Evenement28th International Conference on Advanced Information Systems Engineering (CAiSE 2016) - Ljubljana, Slovenië
    Duur: 13 jun 201617 jun 2016
    Congresnummer: 28
    http://caise2016.si/

    Publicatie series

    NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9694
    ISSN van geprinte versie03029743
    ISSN van elektronische versie16113349

    Congres

    Congres28th International Conference on Advanced Information Systems Engineering (CAiSE 2016)
    Verkorte titelCAiSE '16
    Land/RegioSlovenië
    StadLjubljana
    Periode13/06/1617/06/16
    Internet adres

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