Open data is considered as a promising resource for innovation, in particular in light of the ongoing digitization of society and economy. Currently, organizations lack of knowledge and skills to make efficient use of this resource. Based on the theoretical underpinning of absorptive capacity, the paper investigates how organizations could be supported by using open data for innovation. Following the design science research paradigm, a morphological box for open data related innovation contests is designed by means of an extensive literature review as well as an empirical investigation of an academic analytics challenge. The resulting artifact guides the design of open data related innovation contests by illustrating the main design elements and their options.
Dinter, Barbara and Kollwitz, Christoph, "Towards a Framework for Open Data Related Innovation Contests" (2016). Proceedings of the 2016 Pre-ICIS SIGDSA/IFIP WG8.3 Symposium: Innovations in Data Analytics. 13.