A Set Theoretical Approach to Maturity Models: Guidelines and Demonstration

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    Abstract

    Maturity Model research in IS has been criticized for the lack of theoretical grounding, methodological rigor, empirical validations, and ignorance of multiple and non-linear paths to maturity. To address these criticisms, this paper proposes a novel set-theoretical approach to maturity models characterized by equifinality, multiple conjunctural causation, and case diversity. We prescribe methodological guidelines consisting of a six-step procedure to systematically apply set theoretic methods to conceptualize, develop, and empirically derive maturity models and provide a demonstration of it application on a social media maturity data-set. Specifically, we employ Necessary Condition Analysis (NCA) to identify maturity stage boundaries as necessary conditions and Qualitative Comparative Analysis (QCA) to arrive at multiple configurations that can be equally effective in progressing to higher maturity.
    OriginalsprogEngelsk
    TitelICIS 2016 Proceedings
    UdgivelsesstedAtlanta, GA
    ForlagAssociation for Information Systems. AIS Electronic Library (AISeL)
    Publikationsdato2016
    Sider20
    ISBN (Elektronisk)9780996683135
    StatusUdgivet - 2016
    BegivenhedThe 37th International Conference on Information Systems. ICIS 2016: Digital Innovation at the Crossroads - University of Limerick, Dublin, Irland
    Varighed: 11 dec. 201614 dec. 2016
    Konferencens nummer: 37
    https://icis2016.aisnet.org/

    Konference

    KonferenceThe 37th International Conference on Information Systems. ICIS 2016
    Nummer37
    LokationUniversity of Limerick
    Land/OmrådeIrland
    ByDublin
    Periode11/12/201614/12/2016
    AndetThirty Seventh International Conference on Information Systems
    Internetadresse
    NavnProceedings of the International Conference on Information Systems
    Vol/bind37

    Emneord

    • Maturity model
    • Set theory
    • Necessary conditions
    • Sufficient conditions
    • Necessary condition analysis (NCA)
    • Qualitative comparative analysis (QCA)

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