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Taxonomy visualizations
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Yet despite the great interest in taxonomies, there is virtually no guidance on how to purposefully visualize them. Interestingly, taxonomies are visualized in ways as diverse as morphological boxes, hierarchies and mathematical sets, to name three typical examples. As a result, taxonomy builders face the following question: Which type of taxonomy...
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Context 1
... the heterogeneity of taxonomy visualizations (see Figure 1) and tasks, this short paper seeks to raise problem awareness to leverage the currently untapped potential of a good fit between taxonomy visualizations and taxonomy tasks. Consequently, our research objective is, in the long run, to provide design-relevant knowledge on taxonomy visualizations. ...
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Citations
... How to communicate taxonomies to be reusable in academia and/or practice? (e.g., employing visualizations to increase the applicability [30]). What evaluation criteria help to ensure that taxonomies can be used easily? ...
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.
... Step 18 of the ETDP supports the reporting of both the process of designing a taxonomy and the resulting design product (i.e., the taxonomy). Furthermore, reporting a taxonomy involves providing visualizations that fit the purpose(s) and target user group(s) (Szopinski et al. 2020) as well as descriptions for each characteristic and dimension. Beside this taxonomy-specific communication, it is also important to consider communication that is specific to the phenomenon under consideration (e.g., Hevner et al. 2004). ...
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.
... common way of visualising a taxonomy and it generally illustrates the set of relations contained in a problem complex in an intuitive way(Ritchey 2006;Szopinski et al. 2020). ...
In the increasingly connected business world, economic value is created less and less by one company alone but rather through the combination and enrichment of data by various actors in so-called data ecosystems. However, one of the main obstacles to why actors are currently not motivated to engage in data ecosystems is that they are often not aware of the actual benefits of cross-organisational data sharing. This is partly because it is in many cases unclear what the incentives and ultimately the added value are for data providers when they share their data with others. To address this research gap we develop a taxonomy of incentive mechanisms for data sharing in data ecosystems which is based on a structured literature review. The resulting taxonomy consists of key dimensions and characteristics of incentive mechanisms for data sharing in data ecosystems and contributes to a better scientific understanding of these concepts.
