Rationality of Cross-System Data Duplication: A Case Study

W.T.B. Hordijk, Roelf J. Wieringa

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)


    Duplication of data across systems in an organization is a problem because it wastes eort and leads to inconsistencies. Researchers have proposed several technical solutions but duplication still occurs in practice. In this paper we report on a case study of how and why dupli- cation occurs in a large organization, and discuss generalizable lessons learned from this. Our case study research questions are why data gets duplicated, what the size of the negative eects of duplication is, and why existing solutions are not used. We frame our ndings in terms of design rationale and explain them by providing a causal model. Our nd- ings suggest that next to technological factors, organizational and project factors have a large eect on duplication. We discuss the implications of our ndings for technical solutions in general.
    Original languageEnglish
    Title of host publication22nd International ConferenceAdvanced Information Systems Engineering (CAiSE 2010)
    EditorsBarbara Pernici
    Place of PublicationLondon
    Number of pages15
    ISBN (Print)978-3-642-13093-9
    Publication statusPublished - 2010
    Event22nd International Conference on Advanced Information Systems Engineering, CAiSE 2010 - Hammamet, Tunisia
    Duration: 7 Jun 20109 Jun 2010
    Conference number: 22

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer Verlag


    Conference22nd International Conference on Advanced Information Systems Engineering, CAiSE 2010
    Abbreviated titleCAiSE


    • METIS-270904
    • EWI-18123
    • SCS-Services
    • IR-72391

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