Taxonomy Development in Information Systems


General Information



Prior registration required! Registration is possible until March 31, 2022, or until the course is full. The number of participants is limited to 10. If you are interested in attending the seminar, please contact Henrik Lechte (henrik.lechte@uni-goettingen.de). Registration is first-come-first-served.


Summer Term 2022: Seminar Schedule

California and the students will be in Germany. Meetings will be on Monday and Wednesday 6:00 pm to 8:00 pm Germany time (9:00 am to 11:00 am California time) (2 hours each day, 4 hours per week) for 6 or 7 weeks. The start date is to be determined based on semester schedule at the University.

A schedule of the topics to be covered during each seminar session and the student expectations for each session will be provided later. We will begin with a discussion of classification techniques in general and taxonomies in particular. Following this we will review the NVM method in detail. Students will be expected to not only read the fundamental literature on the topic but also read and critique several papers that use the NVM method. The seminar will then proceed with each student presenting the development of their taxonomy in phases. Other students in the seminar and the professor will critique each student’s presentation with the intent of helping the student improve their taxonomy. At the last session students will present their final taxonomy for critical review. Finally, each student will prepare a paper describing the taxonomy and its development. It is unlikely that the paper will be completed during the seminar. Students, however, will work with Professor Nickerson on the paper after the seminar is over. It is anticipated that these papers will be submitted to a journal or a conference for publication. Professor Nickerson will serve as a co-author on these papers.


Seminar Description

Taxonomies play an important role in information systems research. By classifying objects in a domain into different categories, they allow researchers to focus on the similarities and differences among the objects. Such a focus leads not only to a better understanding of the objects but may also lead to new theories about the objects. Useful taxonomies, however, are not trivial to develop. Numerous research papers describe taxonomies but as Nickerson et al. (2013) point out in their analysis, many taxonomies are developed in an ad hoc manner leading to questions about their efficacy. A well-designed taxonomy development method is needed to provide support for the quality of the resulting taxonomy. Nickerson at al. (2013) present such a method.

The purpose of this seminar is to describe taxonomies and related classification systems and to present the Nickerson et al. (2013) taxonomy development method, which we dub the NVM method for simplicity. Students will spend the first part of the seminar reviewing literature related to taxonomies and taxonomy development, including a thorough review of the NVM method and papers that use the method. Then they will develop a taxonomy for their domain of research using the NVM method and present the taxonomy to the seminar participants for critical review. The goal of the seminar is to develop a taxonomy which will serve as the basis for a paper describing the taxonomy in a form that is suitable for submission to a conference or a journal.


Student Background and Registration


Students should be matriculated doctoral students at Goettingen University with a focus on Information Systems Research. Students will be admitted into the seminar on a first-come, first-served basis. The seminar will be limited to 10 students. Students who have questions about their eligibility for the seminar should contact the professor by email.

Required Readings


  • Bailey KD (1994) Typologies and Taxonomies - An Introduction to Classification Techniques. Sage, Thousand Oaks, California.
  • Nickerson RC, Varshney U, Muntermann J (2013) A Method for Taxonomy Development and Its Application in Information Systems. European Journal of Information Systems, 22(3), 336-359.


Other Readings


  • Aldenderfer MS and Blashfield RK (1984) Cluster Analysis. Sage Publications, Beverly Hills, California.
  • Anderberg MR (1973) Cluster Analysis for Applications. Academic Press, New York.
  • Bailey KD (1984) A three-level measurement model. Quality and Quantity, 18, 225-245.
  • Bowker GC and Star SL (1999) Sorting Things Out: Classification and Its Consequences. MIT Press, Cambridge, Massachusetts.
  • Doty DH and Glick WH (1994) Typologies as a unique form of theory building: Toward improved understanding and modeling. Academy of Management Review, 19(2), 230-251.
  • Eldredge N and Cracraft J (1980) Phylogenetic Patterns and the Evolutionary Process. Columbia University Press, New York.
  • Glass RL and Vessey I (1995) Contemporary application-domain taxonomies. IEEE Software, 12(4), 63-76.
  • Gregor S (2006) The nature of theory in information systems. MIS Quarterly, 30(3), 611-642.
  • Sokal RR and Sneath PHA (1963) Principles of Numerical Taxonomy. W. H. Freeman and Company, San Francisco, California.



Student Papers From 2020 Seminar


  • Sebastian Hengstler, Robert C. Nickerson, and Simon Trang, “Towards a Taxonomy of Information Security Policy Non-Compliance Behavior,” Proceedings of the 2022 Hawaii International Conference on System Sciences, 2022.
  • Laura Schulze, Manual Trenz, and Robert C. Nickerson, “Fingers in the Pie: Characterizing Decision Rights Partitioning on Digital Labor Platforms,” Proceedings of the 2021 International Conference on Information Systems, 2021. Best paper nominee.
  • Albert Torno, Oliver Werth, Robert C. Nickerson, Michael H. Breitner, and Jan Muntermann, “More than Mobile Banking – A Taxonomy-Based Analysis of Mobile Personal Finance Applications,” Proceedings of the 2021 Pacific Asia Conference on Information System, 2021.
  • Tobias Nießner, Robert C. Nickerson, and Matthias Schumann, “Towards a taxonomy of AIbased methods in Financial Statement Analysis,” Proceedings of the 2021 Americas Conference on Information Systems, 2021.