Visualize Different: Towards Researching the Fit Between Taxonomy Visualizations and Taxonomy Tasks

Szopinski, Daniel; Kundisch, Dennis; Schoormann, Thorsten

doi:10.30844/wi_2020_k9-szopinski

Cited by 14 publications

(11 citation statements)

References 23 publications

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“…In terms of visualization, our taxonomy reflects common findings that authors vary in how they visualize their results to best possibly fulfill a particular task (Szopinski et al, 2020). The most common visual representation is the morphological field with 71% in our data set and an absolute number of 22 of 31 business model taxonomies (see Table 3), followed by tables/matrices (16%) and hierarchies (13%).…”

Section: Meta-dimension: Representationmentioning

confidence: 98%

“…Both Szopinski et al (2020) and Oberländer et al (2019) highlight that there is a range of visualization options for taxonomies, morphological fields, tables, matrices, mathematical sets, hierarchies, visual, or textual, which seem suitable characteristics to emerge from the 1 st iteration. Additionally, Nickerson et al's (2013) method is the de facto standard, which would indicate that it is a central characteristic (Oberländer et al, 2019;Szopinski et al, 2019b).…”

Section: Taxonomy Building -Iterations (Approach)mentioning

confidence: 99%

“…• Visualize according to your purpose: Taxonomies differ in how they are visualized (Szopinski et al, 2020).…”

Section: Guiding the Design Of Business Model Taxonomiesmentioning

confidence: 99%

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Designing business model taxonomies – synthesis and guidance from information systems research

et al. 2021

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Classification is an essential approach in business model research. Empirical classifications, termed taxonomies, are widespread in and beyond Information Systems (IS) and enjoy high popularity as both stand-alone artifacts and the foundation for further application. In this article, we focus on the study of empirical business model taxonomies for two reasons. Firstly, as these taxonomies serve as a tool to store empirical data about business models, we investigate their coverage of different industries and technologies. Secondly, as they are emerging artifacts in IS research, we aim to strengthen rigor in their design by illustrating essential design dimensions and characteristics. In doing this, we contribute to research and practice by synthesizing the diffusion of business model taxonomies that helps to draw on the available body of empirical knowledge and providing artifact-specific guidance for building taxonomies in the context of business models.

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Section: Meta-dimension: Representationmentioning

confidence: 98%

Section: Taxonomy Building -Iterations (Approach)mentioning

confidence: 99%

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Designing business model taxonomies – synthesis and guidance from information systems research

et al. 2021

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“…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).…”

Section: Communicationmentioning

confidence: 99%

An Update for Taxonomy Designers

et al. 2021

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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.

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“…In addition to the individual dimensions and the corresponding characteristics, the right column shows whether a characteristic is exclusive (E) or non-exclusive (N). We visualize the taxonomy as a morphological box as this is a common type of taxonomy visualization [58] and it generally illustrates the set of relationships contained in a problem complex in an intuitive way [59].…”

Section: A Taxonomy For Data Ecosystemsmentioning

confidence: 99%

A Taxonomy for Data Ecosystems

Gelhaar¹,

Groß²,

Otto³

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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In the increasingly interconnected business world, economic value is less and less created by one company alone but rather through the combination and enrichment of data by various actors in so-called data ecosystems. The research field around data ecosystems is, however, still in its infancy. With this study, we want to address this issue and contribute to a deeper understanding of data ecosystems. Therefore, we develop a taxonomy for data ecosystems which is grounded both theoretically through the linkage to the scientific knowledge base and empirically through the analyses of data ecosystem use cases. The resulting taxonomy consists of key dimensions and characteristics of data ecosystems and contributes to a better scientific understanding of this concept. Practitioners can use the taxonomy as an instrument to further understand, design and manage the data ecosystems their organizations are involved in.

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Visualize Different: Towards Researching the Fit Between Taxonomy Visualizations and Taxonomy Tasks

Cited by 14 publications

References 23 publications

Designing business model taxonomies – synthesis and guidance from information systems research

Designing business model taxonomies – synthesis and guidance from information systems research

An Update for Taxonomy Designers

A Taxonomy for Data Ecosystems

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