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

HANDELkompetent - Situation Aware Learning in Retail

Digitization is a megatrend which affects all industries. But how does this affect learning on the job scenarios. The research project HANDELkompetent aims at digitization of work process integrated informal learning in retail with a methodological approach and a supporting digital learning environment. The method consists of an accompanied learning approach, where a dedicated person schedules the development of competences of staff in dialog. Learning content consists of small web-based trainings, i.e. learning-nuggets, which can be consumed in a few minutes. The learning environment is enhanced with a tablet pc app, which presents learning content to a learner. The app is enabled to deliver appropriate content to the learner by recognizing the learning situation by making use of device sensors, the actual competences of a learner and the target competences as registered in the learning environment. That means in detail that a learning position, e.g. cash point, warehouse or sales floor is tagged with iBeacons. Those iBeacons broadcast their identification via Bluetooth Low Energy. The tablet PCof a learner can identify these iBeacons and thus, the app determines the physical location of the learner. Besides the position the app can utilize microphone, camera or a brightness sensor for gathering context information, to derive the learning situation and to deliver appropriate content. We make use of the Digital Business Engineering Framework to structure our work. Digital Business Engineering is a methodological framework to deliver sustainable solutions for Digital Transformation. This paper shows our structural approach and first results of the development phase of the HANDELkompetent project

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

Adsorption of Rose Bengal on a self-assembled fibrillar network affords a thermally switchable oxygenation photocatalyst and a thermochromic soft material

Rose Bengal (RB) can be homogeneously dispersed in dichloromethane by its adsorption on the fibrillar network of a molecular gel formed in this solvent. The RB loaded gel was visualized by confocal scanning laser microscopy, revealing homogenous distribution all over the self-assembled fibers. Thermal gel disassembly provokes discoloration of the system because of protonation of RB by the acidic molecular gelator. Thermochromism was evaluated by UV–vis spectroscopy, showing that color change is fully reversible and associated with gel assembly/disassembly, as corroborated by 1H NMR determination of the amount of free gelator. Singlet oxygen photogeneration from the RB-loaded gel was assayed using 9,10-dimethylanthracene as a 1O2 trap. It was found that the photosensitizing activity of the system is on /off thermally switched, controlled by reversibly gel formation, resulting in a smart thermoresponsive photocatalytic material