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A method for taxonomy development and its application in information systems

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  • Robert C Nickerson
  • Upkar Varshney
  • Jan Muntermann

Abstract

A fundamental problem in many disciplines is the classification of objects in a domain of interest into a taxonomy. Developing a taxonomy, however, is a complex process that has not been adequately addressed in the information systems (IS) literature. The purpose of this paper is to present a method for taxonomy development that can be used in IS. First, this paper demonstrates through a comprehensive literature survey that taxonomy development in IS has largely been ad hoc. Then the paper defines the problem of taxonomy development. Next, the paper presents a method for taxonomy development that is based on taxonomy development literature in other disciplines and shows that the method has certain desirable qualities. Finally, the paper demonstrates the efficacy of the method by developing a taxonomy in a domain in IS.

Suggested Citation

  • Robert C Nickerson & Upkar Varshney & Jan Muntermann, 2013. "A method for taxonomy development and its application in information systems," European Journal of Information Systems, Taylor & Francis Journals, vol. 22(3), pages 336-359, May.
    • Handle: RePEc:taf:tjisxx:v:22:y:2013:i:3:p:336-359
    DOI: 10.1057/ejis.2012.26
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    Citations

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    Cited by:

    1. Thorsten Schoormann & Julia Schweihoff & Ilka Jussen & Frederik Möller, 2023. "Classification tools for business models: Status quo, comparison, and agenda," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-36, December.
    2. Rene Abraham & Johannes Schneider & Jan vom Brocke, 2023. "A taxonomy of data governance decision domains in data marketplaces," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-13, December.
    3. Gregory Vial, 2023. "A Complex Adaptive Systems Perspective of Software Reuse in the Digital Age: An Agenda for IS Research," Information Systems Research, INFORMS, vol. 34(4), pages 1728-1743, December.
    4. Jens Passlick & Lukas Grützner & Michael Schulz & Michael H. Breitner, 2023. "Self-service business intelligence and analytics application scenarios: A taxonomy for differentiation," Information Systems and e-Business Management, Springer, vol. 21(1), pages 159-191, March.
    5. Simon Scheider & Florian Lauf & Simon Geller & Frederik Möller & Boris Otto, 2023. "Exploring design elements of personal data markets," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-16, December.
    6. Luz Parrondo, 2023. "Cryptoassets: Definitions and accounting treatment under the current International Financial Reporting Standards framework," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 30(4), pages 208-227, October.
    7. 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.
    8. Janina Seutter & Kristin Kutzner & Maren Stadtländer & Dennis Kundisch & Ralf Knackstedt, 2023. "“Sorry, too much information”—Designing online review systems that support information search and processing," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-19, December.
    9. Nina Thornton & Martin Engert & Andreas Hein & Helmut Krcmar, 2023. "Finding new purpose for vacancies in rural areas: a taxonomy of coworking space business models," International Entrepreneurship and Management Journal, Springer, vol. 19(3), pages 1395-1423, September.
    10. Jochen Wulf & Juerg Meierhofer, 2023. "Towards a Taxonomy of Large Language Model based Business Model Transformations," Papers 2311.05288, arXiv.org.
    11. Oliver Werth & Davinia Rodríguez Cardona & Albert Torno & Michael H. Breitner & Jan Muntermann, 2023. "What determines FinTech success?—A taxonomy-based analysis of FinTech success factors," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    12. Laura Dorfer, 2016. "Datenzentrische Geschäftsmodelle als neuer Geschäftsmodelltypus in der Electronic-Business-Forschung: Konzeptionelle Bezugspunkte, Klassifikation und Geschäftsmodellarchitektur," Schmalenbach Journal of Business Research, Springer, vol. 68(3), pages 307-369, August.
    13. Navitha Singh Sewpersadh, 2023. "Disruptive business value models in the digital era," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-27, December.
    14. Daniel Kirste & Niclas Kannengie{ss}er & Ricky Lamberty & Ali Sunyaev, 2023. "How Automated Market Makers Approach the Thin Market Problem in Cryptoeconomic Systems," Papers 2309.12818, arXiv.org, revised Sep 2023.
    15. Michel Muschkiet & Tobias Wulfert & Robert Woroch & Gero Strobel & Leonardo Banh, 2023. "Unleashing the digital building bricks," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.

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