Data Ecosystems in Information Systems (DATAECO)

Driven by the digitalization of almost any sphere of personal life and business, data has become one of humankind’s most essential resources. The relevance of data has been recognized by global and data-driven companies such as Apple, Google, and Amazon and by governing organizations. In contrast to physical resources, data do not perish when shared, introducing a paradigm shift in inter-organizational cooperation. Organizations can jointly use data on customers, environment, machines, and processes to optimize as well as build novel products and services. However, to be able to utilize this data in a secure, fair, and value-creating manner, it is necessary to establish shared data spaces and -platforms. This track focuses on the critical role of data during the design, emergence, governance, and adoption of data ecosystems from both an agnostic and domain-specific perspective. We particularly welcome submissions in the context of ecosystem design and development, including new design methodologies and tools, as well as rather focused topics, such as data-sharing and data-driven sustainability. Since research on data ecosystems is conducted by scholars beyond disciplinary boundaries (e.g., data science, management science), there is a need to establish common grounds and advance this stream of research. This track is intended to bring together and foster discussions among scholars and practitioners who work on the various aspects of data-driven ecosystems.

Track Chairs;
Thorsten Schoormann, TU Braunschweig
Frederik Möller, TU Braunschweig
Olivia Benfeldt, Copenhagen Business School