Requirements for Usage Control based Exchange of Sensitive Data in Automotive Supply Chains

Current inter-organizational data exchange is restricted to essential information that serves to fulfill contractual commitments. Restricting the exchange of data in these terms, leads to non-consideration of potential improvements in operational processes. One objective of this article is to expose the variety of reasons that prevent these data from being exchanged. The focus is paid to data that are exchangeable from a technical and legal point of view, but whose exchange is not desirable from a company\u27s perspective for reasons like potential data misuse or competition disadvantages. Based on our findings we derive a set of requirements for a software prototype, which is properly equipped to enable the exchange of sensitive data, paving the way of fostering transparency in automotive supply chains. For this purpose, we draw from a deep single-case study in the German automotive industry dealing with the exchange of demand and capacity information

Data Ecosystems: Conceptual Foundations, Constituents and Recommendations for Action

Water, light, plants and animals: the interplay of these factors in a natural ecosystem is an excellent role model for state-of-the-art value chains within economy, as ecosystems are characterized by the fact that not one of the systems members is able to optimize their well-being on their own. Any ecosystem has to come together and act as a whole, in order to gain profits. Thus, ecosystems create a balance between the reciprocal benefits of its members. But what do ecosystems have in common with the digital economy? The proliferation of digital technologies and artificial intelligence solutions is accelerating business models that are characterized by steadily increasing data traffic. In this sense, a data ecosystem is an ecosystem in which data is the strategic resource for the success of the entire system. Making the most of this valuable resource must be the goal of business ecosystems. The Fraunhofer Institute for Software and Systems Engineering ISST is setting standards for a (controllable) data sharing. Its scientists are researching the value of data as well as handling data sovereignly. With many other Fraunhofer institutes, Fraunhofer ISST closely collaborates with partners from industry, research and politics within the initiative International Data Spaces to design and implement the framework for sovereign data sharing of the future. Within this endeavor, Fraunhofer ISST focuses on four application sectors: Healthcare, Logistics, Data Business and Automotive. This paper will elaborate on the rising topic of data ecosystems and how organizations can generate more value of existing data assets by using inter-organizational cooperations