Sammelbandbeiträge

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Auflistung Sammelbandbeiträge nach Forschungsbereichen "Mensch – Arbeit – Wissen"

Gerade angezeigt 1 - 2 von 2
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    From Employee to Expert - Towards a Corona-Sensitive Approach for Data Collection
    (2021) Langemeyer, Ines; Gronau, Norbert; Schmid-Walz, Sabrina; Kotarski, David; Reimann, Daniela; Teichmann, Malte
    In the context of the collaborative project Ageing-appropriate, process-oriented and interactive further training in SME (API-KMU), innovative solutions for the challenges of demographic change and digitalisation are being developed for SMEs. To this end, an approach to age-appropriate training will be designed with the help of AR technology. In times of the corona pandemic, a special research design is necessary for the initial survey of the current state in the companies, which will be systematically elaborated in this paper. The results of the previous methodological considerations illustrate the necessity of a mix of methods to generate a deeper insight into the work processes. Video-based retrospective interviews seem to be a suitable instrument to adequately capture the employees' interpretative perspectives on their work activities. In conclusion, the paper identifies specific challenges, such as creating acceptance among employees, open questions, e.g., how a transfer or generalization of the results can succeed, and hypotheses that will have to be tested in the further course of the research process.
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    IDS as a Foundation for Open Data Ecosystems
    (Springer International Publishing, 2022) Kirstein, Fabian; Bohlen, Vincent; Otto, Boris; Ten Hompel, Michael; Wrobel, Stefan
    Open data is a popular and flourishing concept. The availability of open and structured data is the foundation of new business models, citizen engagement, and scientific research. However, open data still faces many issues to unfold its full potential, including usability, quality, legal, privacy, strategic, and technical barriers. In addition, the public sector remains its main provider, while industry stakeholders are still reluctant to participate in open data ecosystems. In this article, we present an architecture to overcome these drawbacks by utilizing the concepts, specifications, and technologies provided by International Data Spaces. We developed a prototype to demonstrate and evaluate the practical adoption of our architecture. Our work shows that IDS can act a vital foundation for open data ecosystems. The presented solution is available as open source software.