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Design of Goal-Oriented Artifacts from Morphological Taxonomies: Progression from Descriptive to Prescriptive Design Knowledge

In: Innovation Through Information Systems

Author

Listed:
  • Frederik Möller

    (TU Dortmund University
    Fraunhofer ISST)

  • Hendrik Haße

    (Fraunhofer ISST)

  • Can Azkan

    (Fraunhofer ISST)

  • Hendrik Valk

    (TU Dortmund University)

  • Boris Otto

    (TU Dortmund University
    Fraunhofer ISST)

Abstract

Morphological Taxonomies are a widely popular tool in Information Systems to systematically deconstruct an artifact into designable dimensions and characteristics. Subsequently, these taxonomies have engraved in them knowledge about the design of artifacts, i.e., descriptive design knowledge. Most studies producing morphological taxonomies refrain from giving prescriptive advice about the design, i.e., the specific morphological configuration of an artifact, but rather stay descriptive. The paper proposes a framework for knowledge and artifact transformation originating in morphological taxonomies and ending in design principles. We develop a framework that assists researchers and practitioners by showing clear paths on transforming descriptive design knowledge engraved in taxonomies to prescriptive knowledge as design principles.

Suggested Citation

  • Frederik Möller & Hendrik Haße & Can Azkan & Hendrik Valk & Boris Otto, 2021. "Design of Goal-Oriented Artifacts from Morphological Taxonomies: Progression from Descriptive to Prescriptive Design Knowledge," Lecture Notes in Information Systems and Organization, in: Frederik Ahlemann & Reinhard Schütte & Stefan Stieglitz (ed.), Innovation Through Information Systems, pages 523-538, Springer.
    • Handle: RePEc:spr:lnichp:978-3-030-86790-4_36
    DOI: 10.1007/978-3-030-86790-4_36
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    Citations

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    Cited by:

    1. Patrick Zschech, 2023. "Beyond descriptive taxonomies in data analytics: a systematic evaluation approach for data-driven method pipelines," Information Systems and e-Business Management, Springer, vol. 21(1), pages 193-227, March.
    2. Frederik Möller & Maleen Stachon & Can Azkan & Thorsten Schoormann & Boris Otto, 2022. "Designing business model taxonomies – synthesis and guidance from information systems research," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(2), pages 701-726, June.

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