Abstract
The increasing availability of open data promises transparency and economic growth. Although several studies have highlighted the value of open data for businesses, the private sector has been slow to adopt it, falling short of expectations. This is due to a lack of knowledge about the real benefits of using open data as a business and few use cases for commercial reuse of open data. Against this backdrop, our study aims to shed light on the commercial use of open data by developing a comprehensive taxonomy consisting of 14 dimensions and deriving five commercial open data user archetypes. Our study contributes to the literature by providing a nuanced understanding of the commercial use of open data, as well as a conceptual framework that structures successful open data use cases, which can be used by businesses and practitioners to identify opportunities for potential open data use scenarios in their respective organizations.
Recommended Citation
Börner, Eric, "Unlocking Value: Towards a Comprehensive Taxonomy for Commercializing Open Data in the Business Context" (2024). Wirtschaftsinformatik 2024 Proceedings. 72.
https://aisel.aisnet.org/wi2024/72