Case study research in information systems engineering: how to generalize, how not to generalize, and how not to generalize too much

Roelf J. Wieringa

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    Abstract

    Case studies are detailed studies of a small number of real-world cases in order to understand the mechanisms that play a role in creating phenomena in the case. Case studies have been performed in the information systems discipline for at least twenty years. In this talk I will show what role case studies play in the problem investigation and artifact validation tasks of the design cycle, giving examples of the various kinds of case studies that can be used in these tasks: observational case studies, problem-driven action research, and technical action research. Second, I will discuss how not to generalize from case studies: by statistical inference or by variable-based similarity. This will clear the stage for how to generalize from case studies: by architectural similarity. In order not to raise expectations of generalizability too much, I will also indicate the limitations of this kind of generalization.
    Original languageUndefined
    Title of host publication25th International Conference on Advanced Information Systems Engineering (CAiSE 2013)
    Place of PublicationLondon
    PublisherSpringer
    Pagesxii-xii
    Number of pages1
    ISBN (Print)978-3-642-38708-1
    DOIs
    Publication statusPublished - Jun 2013
    Event25th International Conference on Advanced Information Systems Engineering, CAiSE 2013 - Valencia, Spain
    Duration: 17 Jun 201321 Jun 2013
    Conference number: 25

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag
    Volume7908

    Conference

    Conference25th International Conference on Advanced Information Systems Engineering, CAiSE 2013
    Abbreviated titleCAiSE
    CountrySpain
    CityValencia
    Period17/06/1321/06/13

    Keywords

    • SCS-Services
    • IS-Design science methodology
    • METIS-300054
    • IR-87984
    • EWI-23792

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