This seminar paper examines and defines digital assets and builds a taxonomy that categorizes these assets.
Therefore, it also explains, besides digital assets, belonging terms such as blockchain and tokenization. Through all the characteristics that arise, it can classify the objects within dimensions by using the Nickerson method. It describes in detail all required steps that are needed in seven iterations.
To present the result more clearly, a cluster analysis is performed. The final taxonomy grants users’ access to reliable and meaningful data, to categorize digital assets themselves, or to gather desired information. In addition, the paper compares the taxonomy with another one to show possible strengths and defects.
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