Forschungsbeiträge auf der WI-Konferenz 2022

Montag, 21. Februar 2022 um 13:16 Uhr

Wir freuen uns, dass zwei Beiträge mit ISUM-Beteiligung für die International Conference on Wirtschaftsinformatik (WI) 2022 angenommen wurden.

Schoormann, T., Möller, F., & Szopinski, D. (2022). Exploring Purposes of Using Taxonomies.
In: Proceedings of the International Conference on Wirtschaftsinformatik (WI). Nürnberg, Germany

Abstract.Taxonomies are artifacts that can be used for numerous purposes, including gap spotting, decision-making, and theory building. Despite the variety of usage purposes, we can observe that designers state that their taxonomies help to ‘classify something’; leaving the full potential of taxonomies rather untapped. In order to lay attention on questions of for what taxonomies can be used, this short paper (1) raises awareness of the actual problem space and motivate the relevance of an overview of taxonomy use purposes, (2) outlines the overall project’s research design to identify and structure the set of use purposes, and (3) proposes preliminary purposes extracted from analyzing a corpus of articles that built upon—and use—previously published taxonomies. In doing this, we seek to complement available methodological guidance to make more informed decisions in terms of a taxonomy’s usage potential.

Zum Beitrag: https://aisel.aisnet.org/wi2022/wi_interdisciplinary/wi_interdisciplinary/5/

 

Wache, H., Möller, F., Schoormann, T., Strobel, G. & Petrik, D. (2022). Exploring the Abstraction Levels of Design Principles: The Case of Chatbots. In: Proceedings of the International Conference on Wirtschaftsinformatik (WI). Nürnberg, Germany.

Abstract. Formulating design principles is the primary mechanism to codify design knowledge which elevates its meaning to a general level and applicability. Although we can observe a great variety of abstraction levels in available design principles, spanning from more situated to more generic levels, there is only limited knowledge about the corresponding (dis-)advantages of using a certain level of abstraction. That is problematic because it hinders researchers in making informed decisions regarding the (intended) level of abstraction and practitioners in being oriented whether the principles are already contextualized or still require effort to apply them within their situation. Against this backdrop, this paper (1) explores different abstraction levels of design principles based on a sample of 69 principles from the chatbot domain, as well as (2) provides a preliminary positioning framework and lessons learned. We aim to complement methodological guidance and strengthen the principles' applicability, ultimately leading to knowledge reuse.

Zum Beitrag: https://aisel.aisnet.org/wi2022/design_science/design_science/6/


https://wi22.de/