data protection

Digital Transformation in Educational Institutions: Scrutinizing the Debate and Highlighting Success Factors: A qualitative study on the current use of learning management systems and learning analytics in Germany

Digital Transformation in Educational Institutions: Scrutinizing the Debate and Highlighting Success Factors: A qualitative study on the current use of learning management systems and learning analytics in Germany

Linda Mai, Lynn Schmodde, Marius C. Wehner
In German education, digitalization is evolving, and the COVID-19 pandemic has accelerated this process due to closed schools and universities. While these external conditions were almost the same for all institutions, they have dealt with remote teaching in different ways and developed various new learning concepts. We conducted 27 interviews with headmasters, e-learning managers, and teachers from Germany to gain insights into varying attitudes towards learning management systems, as well as the motivations and concerns about future teaching with digital support. Using an inductive method, we identify different obstacles, including lack of digital competencies, necessity of technical equipment, concerns about replacing traditional lessons, but also enthusiasm for new opportunities. We argue that a meaningful use of learning management systems and learning analytics depends on an open and impartial debate on data protection and equal opportunities. Overall, this paper contributes to ...
Industry 4.0 Science | 2022 | | DOI 10.30844/AKWI_2022_08
Digital Twins for Production and Logistics Systems

Digital Twins for Production and Logistics Systems

Challenges and focus areas in implementation and use
Deike Gliem ORCID Icon, Nicolas Wittine ORCID Icon, Sigrid Wenzel ORCID Icon
For a successful implementation as well as sustainable use and maintenance of digital twins for production and logistics systems, it is necessary to identify relevant use cases and master the associated challenges. This paper analyzes scientific literature on common applications and challenges in the implementation of digital twins for the planning and operation of production and logistics systems. To confirm the practical relevance of the results, the results of an empirical survey have also been included. The findings are used to derive key focus areas for the successful implementation and long-term use of digital twins in production and logistics.
Industry 4.0 Science | Volume 41 | 2025 | Edition 3 | Pages 42-49 | DOI 10.30844/I4SE.25.3.42
Intelligent Load Carrier Management

Intelligent Load Carrier Management

AI-supported monitoring and reduction of losses in logistics
Dominik Augenstein, Lea Basler
Load carriers are essential for transporting manufactured parts in manufacturing companies. Despite their ‘simplicity’, they are usually expensive to purchase as they are manufactured expressly to fit purpose. While tracking methods such as GPS tracking can be used to prevent the loss of load carriers, this is associated with monitoring costs and presents challenges with regard to data protection as soon as the work performance of intralogistics employees is monitored. Assigning load carriers to designated clusters and monitoring these clusters provides an effective solution—without drawing conclusions about employee performance. Furthermore, artificial intelligence can optimize this approach whilst also deterring the theft of load carriers.
Industry 4.0 Science | Volume 41 | 2025 | Edition 2 | Pages 78-84
Federated Service Engineering

Federated Service Engineering

A development methodology for the realization of mobility applications in the Gaia-X decentralized data ecosystem
Christoph Heinbach, Michael Pahl, Oliver Thomas
The decentralized data ecosystem Gaia-X, which is currently under development, supports the future viability of the digital data economy in Europe. But how can relevant use cases be realized in Gaia-X from a service-oriented perspective? To answer this question, this article presents a methodology that describes a structured and interdisciplinary approach to service development in the ongoing Gaia-X 4 ROMS consortium research project [1]. In this project, federated services are realized in five processing steps on the basis of use cases. IT experts, software developers and industry users can leverage the model to efficiently coordinate the joint realization of use cases with Gaia-X and the goal of sovereign data exchange.
Industry 4.0 Science | Volume 40 | 2024 | Edition 2 | Pages 40-47
Leveraging Data Treasures, Protecting Data Privacy

Leveraging Data Treasures, Protecting Data Privacy

Adding value with secure AI solutions
Detlef Houdeau
Artificial Intelligence (AI) can make a major contribution to the future viability of our economy and society—whether by improving existing processes or new products and services that promise greater efficiency, more robust structures and more climate protection. At present, however, SMEs in particular are still reluctant to use AI systems. The frequently cited reason is that data protection hurdles appear to be too high. This article discusses the opportunities of data-based value creation. The central question is how AI applications in industry can generate economic added value from data while maintaining data protection and security.
Industrie 4.0 Management | Volume 39 | 2023 | Edition 3 | Pages 24-27
Sustainability of Blockchain and Distributed Ledger Technologies

Sustainability of Blockchain and Distributed Ledger Technologies

Volker Skwarek
Blockchain and distributed ledger technologies (BC/DLT) have attracted social and scientific attention at least since the success of Bitcoin and Ethereum as so-called cryptocurrencies. This attention leads to multidisciplinary dynamics whose euphoria often leads to a neglect of scientific thoroughness. As one facet, immutability is a core characteristic and often postulated property of the system. However, it is hardly possible to identify an analysis of the counter side, namely the sustainability of this technology. This article deals with different aspects of the sustainability of BC/DLT and relates them to the requirements of BC/DLT.
Industrie 4.0 Management | Volume 36 | 2020 | Edition 1 | Pages 41-44
Compliance through a Sealed Cloud

Compliance through a Sealed Cloud

Hubert Jäger
For businesses, the main problem with cloud computing is the loss of control over own data. After all, one cannot know what cloud provider staff might read or copy processed or stored data. Not so with providers based on Sealed Cloud technology. This basic technology encrypts all data, and any access is rendered impossible by a series of technical measures. Not even the cloud provider has access to the data, not only during transfer and within the database, but also during data processing.
Industrie Management | Volume 29 | 2013 | Edition 4 | Pages 27-30