The digital transformation of society and economy leads to fundamental changes in the planning and execution of innovation processes in organizations. Possibilities and application scenarios of digital, data-driven innovation are frequently discussed in academia and in industry, but a comprehensive and systematic examination of the various types and roles of big data analytics technologies in innovation ecosystems is currently missing. Organizations need support in identifying and implementing the new opportunities of big data analytics to generate value through innovation. Starting from the theoretical perspective of service-dominant logic, we present a three-dimensional conceptual framework with associated characteristics that can be used to derive different archetypes of big data analytics in innovation ecosystems. The findings will be further developed as part of a qualitative case study in the field of electromobility in Germany.
Kollwitz, Christoph, "Towards the Development of a Typology of Big Data Analytics in Innovation Ecosystems" (2019). Proceedings of the 2019 Pre-ICIS SIGDSA Symposium. 8.