Classification Systems, their Digitization and Consequences for Data-Driven Decision Making: Understanding Representational Quality

Mari-Klara Stein, Sue Newell, Robert D. Galliers, Erica L. Wagner

    Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningpeer review


    Classification systems are foundational in many standardized software tools. This digitization of classification systems gives them a new ‘materiality’ that, jointly with the social practices of information producers/consumers, has significant consequences on the representational quality of such information systems. Based on a multi-site field study, we suggest that representational quality is achieved through four types of negotiations that human actors engage in when confronted with the materiality of a new IS. These negotiations are associated with three broad practices (instantiation, re-narration and meta-narration), and three different information production/consumption situations. We contribute to the relational theorization of representational quality and extend classification systems research by drawing explicit attention to the importance of ‘materialization’ of classification systems and the foundational role of representational quality in understanding the success and consequences of data-driven decision-making.
    TitelProceedings of the 34th International Conference on Information Systems. ICIS 2013
    RedaktørerRichard Baskerville, Michael Chau
    Antal sider18
    UdgivelsesstedAtlanta, GA
    ForlagAssociation for Information Systems. AIS Electronic Library (AISeL)
    ISBN (Trykt)9780615933832
    StatusUdgivet - 2013
    BegivenhedThe 34th International Conference on Information Systems. ICIS 2013: Reshaping Society Through Information Systems Design - Università Bocconi, Milan, Italien
    Varighed: 15 dec. 201318 dec. 2013
    Konferencens nummer: 34


    KonferenceThe 34th International Conference on Information Systems. ICIS 2013
    LokationUniversità Bocconi


    • Representational quality of IS
    • Standardized packages
    • Data-driven decision-making