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An Update for Taxonomy Designers

Author

Listed:
  • Dennis Kundisch

    (Paderborn University)

  • Jan Muntermann

    (University of Göttingen)

  • Anna Maria Oberländer

    (University of Bayreuth, Project Group Business & Information Systems Engineering of the Fraunhofer FIT)

  • Daniel Rau

    (FIM Research Center, University of Augsburg)

  • Maximilian Röglinger

    (University of Bayreuth, Project Group Business & Information Systems Engineering of the Fraunhofer FIT)

  • Thorsten Schoormann

    (University of Hildesheim)

  • Daniel Szopinski

    (Paderborn University)

Abstract

Taxonomies are classification systems that help researchers conceptualize phenomena based on their dimensions and characteristics. To address the problem of ‘ad-hoc’ taxonomy building, Nickerson et al. (2013) proposed a rigorous taxonomy development method for information systems researchers. Eight years on, however, the status quo of taxonomy research shows that the application of this method lacks consistency and transparency and that further guidance on taxonomy evaluation is needed. To fill these gaps, this study (1) advances existing methodological guidance and (2) extends this guidance with regards to taxonomy evaluation. Informed by insights gained from an analysis of 164 taxonomy articles published in information systems outlets, this study presents an extended taxonomy design process together with 26 operational taxonomy design recommendations. Representing an update for taxonomy designers, it contributes to the prescriptive knowledge on taxonomy design and seeks to augment both rigorous taxonomy building and evaluation.

Suggested Citation

  • Dennis Kundisch & Jan Muntermann & Anna Maria Oberländer & Daniel Rau & Maximilian Röglinger & Thorsten Schoormann & Daniel Szopinski, 2022. "An Update for Taxonomy Designers," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(4), pages 421-439, August.
    • Handle: RePEc:spr:binfse:v:64:y:2022:i:4:d:10.1007_s12599-021-00723-x
    DOI: 10.1007/s12599-021-00723-x
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    References listed on IDEAS

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