Data Sharing & Data Trading

Objective

A variety of industries observe and foster the creation of a growing amount of data. Throughout the creation and operation of new data-driven business solutions, data serves as the main resource for innovation and value creation. Therefore, data is widely acknowledged as an asset that entails a certain business value. However, to successfully exploit the potential of data-based innovation, organizations often need to get access to complementary (external) data assets and, therefore, engage in data sharing initiatives.

Together with industry partner BASF SE, this research project aims to advance the understanding of data sharing as a means towards collaborative data-based service provisioning and as a base for joint value creation. In particular, the project provides guidelines for organizational transformation towards data sharing and evaluate barriers and drivers for participation in (inter-)organizational data sharing initiatives.

Funding

BASF SE

Duration

01.11.2021 – 30.04.2025

Partners

BASF 

Involved DSI Researchers

Marcel Fassnacht

Publications


2023
Conference Papers
Is Your Organization Ready to Share? A Framework of Beneficial Conditions for Data Sharing
Fassnacht, M. K.; Benz, C.; Leimstoll, J.; Satzger, G.
2023. 44th International Conference on Information Systems (ICIS 2023), Hyderabad, Indien, 10.12.2023 - 13.12.2023, Association for Information Systems (AIS). doi:10.5445/IR/1000162812
Barriers to Data Sharing among Private Sector Organizations
Fassnacht, M. K.; Benz, C.; Heinz, D.; Leimstoll, J.; Satzger, G.
2023. Hawaii International Conference on Systems Sciences (HICSS-56), 3695–3704, IEEE Computer Society
Presentations
Towards an Effective Design for Data Sharing in Circular Ecosystems
Fassnacht, M. K.; Benz, C.; Heinz, D.
2023. 31st European Conference on Information Systems (ECIS 2023), Kristiansand, Norway, June 11–16, 2023
2022
Conference Papers
Why Should I Share? Exploring Benefits of Open Data for Private Sector Organizations
Enders, T.; Satzger, G.; Fassnacht, M. K.; Wolff, C.
2022. PACIS 2022 proceedings : AI-IS-ASIA (artificial intelligence, information systems, in Pacific Asia), AIS eLibrary (AISeL)