Abstract
Data is an integral part of almost every business. Sharing data enables new opportunities to generate value or enrich the existing data repository, opening up new potentials for optimization and business models. However, these opportunities are still untapped, as sharing data comes with many challenges. First and foremost, aspects such as trust in partners, transparency, and the desire for security are issues that need to be addressed. Only then can data sharing be used efficiently in business models. The paper addresses this issue and generates guidance for the data-sharing business model (DSBM) design in the form of a taxonomy. The taxonomy is built on the empirical analysis of 80 DSBMs. With this, the primary contributions are structuring the field of an emerging phenomenon and outlining design options for these types of business models.
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CITATION STYLE
Schweihoff, J., Jussen, I., Dahms, V., Möller, F., & Otto, B. (2023). How to Share Data Online (fast) - A Taxonomy of Data Sharing Business Models. In Proceedings of the Annual Hawaii International Conference on System Sciences (Vol. 2023-January, pp. 607–616). IEEE Computer Society. https://doi.org/10.24251/hicss.2023.078
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